diff --git a/.gradle/3.5/file-changes/last-build.bin b/.gradle/3.5/file-changes/last-build.bin new file mode 100644 index 00000000..f76dd238 Binary files /dev/null and b/.gradle/3.5/file-changes/last-build.bin differ diff --git a/.gradle/3.5/taskHistory/taskHistory.lock b/.gradle/3.5/taskHistory/taskHistory.lock new file mode 100644 index 00000000..76dd03e3 Binary files /dev/null and b/.gradle/3.5/taskHistory/taskHistory.lock differ diff --git a/.gradle/4.4.1/fileChanges/last-build.bin b/.gradle/4.4.1/fileChanges/last-build.bin new file mode 100644 index 00000000..f76dd238 Binary files /dev/null and b/.gradle/4.4.1/fileChanges/last-build.bin differ diff --git a/.gradle/4.4.1/fileHashes/fileHashes.bin b/.gradle/4.4.1/fileHashes/fileHashes.bin new file mode 100644 index 00000000..6a2035a9 Binary files /dev/null and b/.gradle/4.4.1/fileHashes/fileHashes.bin differ diff --git a/.gradle/4.4.1/fileHashes/fileHashes.lock b/.gradle/4.4.1/fileHashes/fileHashes.lock new file mode 100644 index 00000000..7fdb9015 Binary files /dev/null and b/.gradle/4.4.1/fileHashes/fileHashes.lock differ diff --git a/.gradle/4.4.1/taskHistory/taskHistory.bin b/.gradle/4.4.1/taskHistory/taskHistory.bin new file mode 100644 index 00000000..80e2a4ef Binary files /dev/null and b/.gradle/4.4.1/taskHistory/taskHistory.bin differ diff --git a/.gradle/4.4.1/taskHistory/taskHistory.lock b/.gradle/4.4.1/taskHistory/taskHistory.lock new file mode 100644 index 00000000..49fd3260 Binary files /dev/null and b/.gradle/4.4.1/taskHistory/taskHistory.lock differ diff --git a/.gradle/buildOutputCleanup/buildOutputCleanup.lock b/.gradle/buildOutputCleanup/buildOutputCleanup.lock new file mode 100644 index 00000000..c68f6dd8 Binary files /dev/null and b/.gradle/buildOutputCleanup/buildOutputCleanup.lock differ diff --git a/.gradle/buildOutputCleanup/cache.properties b/.gradle/buildOutputCleanup/cache.properties new file mode 100644 index 00000000..f66c9e7f --- /dev/null +++ b/.gradle/buildOutputCleanup/cache.properties @@ -0,0 +1,2 @@ +#Tue May 08 15:43:52 CEST 2018 +gradle.version=4.4.1 diff --git a/.gradle/buildOutputCleanup/outputFiles.bin b/.gradle/buildOutputCleanup/outputFiles.bin new file mode 100644 index 00000000..0eac9776 Binary files /dev/null and b/.gradle/buildOutputCleanup/outputFiles.bin differ diff --git a/bin/main/meka/classifiers/AbstractMultiSearch.class b/bin/main/meka/classifiers/AbstractMultiSearch.class new file mode 100644 index 00000000..0814c7ba Binary files /dev/null and b/bin/main/meka/classifiers/AbstractMultiSearch.class differ diff --git a/bin/main/meka/classifiers/MultiXClassifier.class b/bin/main/meka/classifiers/MultiXClassifier.class new file mode 100644 index 00000000..35dc0df7 Binary files /dev/null and b/bin/main/meka/classifiers/MultiXClassifier.class differ diff --git a/bin/main/meka/classifiers/incremental/IncrementalEvaluation.class b/bin/main/meka/classifiers/incremental/IncrementalEvaluation.class new file mode 100644 index 00000000..92b7a1d9 Binary files /dev/null and b/bin/main/meka/classifiers/incremental/IncrementalEvaluation.class differ diff --git a/bin/main/meka/classifiers/multilabel/AbstractMultiLabelClassifier.class b/bin/main/meka/classifiers/multilabel/AbstractMultiLabelClassifier.class new file mode 100644 index 00000000..637022d2 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/AbstractMultiLabelClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/BCC.class b/bin/main/meka/classifiers/multilabel/BCC.class new file mode 100644 index 00000000..19c2d862 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/BCC.class differ diff --git a/bin/main/meka/classifiers/multilabel/BPNN.class b/bin/main/meka/classifiers/multilabel/BPNN.class new file mode 100644 index 00000000..1289812c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/BPNN.class differ diff --git a/bin/main/meka/classifiers/multilabel/BR.class b/bin/main/meka/classifiers/multilabel/BR.class new file mode 100644 index 00000000..a48cfbbb Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/BR.class differ diff --git a/bin/main/meka/classifiers/multilabel/BRq.class b/bin/main/meka/classifiers/multilabel/BRq.class new file mode 100644 index 00000000..9b9b7cf0 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/BRq.class differ diff --git a/bin/main/meka/classifiers/multilabel/CC.class b/bin/main/meka/classifiers/multilabel/CC.class new file mode 100644 index 00000000..03e957cc Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/CC.class differ diff --git a/bin/main/meka/classifiers/multilabel/CCq$QLink.class b/bin/main/meka/classifiers/multilabel/CCq$QLink.class new file mode 100644 index 00000000..28b68b93 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/CCq$QLink.class differ diff --git a/bin/main/meka/classifiers/multilabel/CCq.class b/bin/main/meka/classifiers/multilabel/CCq.class new file mode 100644 index 00000000..be2279c7 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/CCq.class differ diff --git a/bin/main/meka/classifiers/multilabel/CDN.class b/bin/main/meka/classifiers/multilabel/CDN.class new file mode 100644 index 00000000..b5c765c9 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/CDN.class differ diff --git a/bin/main/meka/classifiers/multilabel/CDT.class b/bin/main/meka/classifiers/multilabel/CDT.class new file mode 100644 index 00000000..e415fae9 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/CDT.class differ diff --git a/bin/main/meka/classifiers/multilabel/CT.class b/bin/main/meka/classifiers/multilabel/CT.class new file mode 100644 index 00000000..a5e6c970 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/CT.class differ diff --git a/bin/main/meka/classifiers/multilabel/DBPNN.class b/bin/main/meka/classifiers/multilabel/DBPNN.class new file mode 100644 index 00000000..6100f1cf Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/DBPNN.class differ diff --git a/bin/main/meka/classifiers/multilabel/Evaluation.class b/bin/main/meka/classifiers/multilabel/Evaluation.class new file mode 100644 index 00000000..17bf27c5 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/Evaluation.class differ diff --git a/bin/main/meka/classifiers/multilabel/FW.class b/bin/main/meka/classifiers/multilabel/FW.class new file mode 100644 index 00000000..0da54b88 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/FW.class differ diff --git a/bin/main/meka/classifiers/multilabel/HASEL.class b/bin/main/meka/classifiers/multilabel/HASEL.class new file mode 100644 index 00000000..b94ca529 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/HASEL.class differ diff --git a/bin/main/meka/classifiers/multilabel/IncrementalMultiLabelClassifier.class b/bin/main/meka/classifiers/multilabel/IncrementalMultiLabelClassifier.class new file mode 100644 index 00000000..cbd31814 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/IncrementalMultiLabelClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/LC.class b/bin/main/meka/classifiers/multilabel/LC.class new file mode 100644 index 00000000..b50196f3 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/LC.class differ diff --git a/bin/main/meka/classifiers/multilabel/LabelTransformationClassifier.class b/bin/main/meka/classifiers/multilabel/LabelTransformationClassifier.class new file mode 100644 index 00000000..1b685c21 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/LabelTransformationClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/MCC.class b/bin/main/meka/classifiers/multilabel/MCC.class new file mode 100644 index 00000000..fedeb8d0 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MCC.class differ diff --git a/bin/main/meka/classifiers/multilabel/MLCBMaD.class b/bin/main/meka/classifiers/multilabel/MLCBMaD.class new file mode 100644 index 00000000..4b1bb3b8 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MLCBMaD.class differ diff --git a/bin/main/meka/classifiers/multilabel/MULAN.class b/bin/main/meka/classifiers/multilabel/MULAN.class new file mode 100644 index 00000000..efa2c294 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MULAN.class differ diff --git a/bin/main/meka/classifiers/multilabel/MajorityLabelset.class b/bin/main/meka/classifiers/multilabel/MajorityLabelset.class new file mode 100644 index 00000000..3f101a64 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MajorityLabelset.class differ diff --git a/bin/main/meka/classifiers/multilabel/Maniac.class b/bin/main/meka/classifiers/multilabel/Maniac.class new file mode 100644 index 00000000..bf19a19f Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/Maniac.class differ diff --git a/bin/main/meka/classifiers/multilabel/MultiLabelClassifier.class b/bin/main/meka/classifiers/multilabel/MultiLabelClassifier.class new file mode 100644 index 00000000..2002fac2 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MultiLabelClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/MultiLabelClassifierThreaded.class b/bin/main/meka/classifiers/multilabel/MultiLabelClassifierThreaded.class new file mode 100644 index 00000000..442e6606 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MultiLabelClassifierThreaded.class differ diff --git a/bin/main/meka/classifiers/multilabel/MultiTargetCapable.class b/bin/main/meka/classifiers/multilabel/MultiTargetCapable.class new file mode 100644 index 00000000..4a948ee2 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/MultiTargetCapable.class differ diff --git a/bin/main/meka/classifiers/multilabel/NN/AbstractDeepNeuralNet.class b/bin/main/meka/classifiers/multilabel/NN/AbstractDeepNeuralNet.class new file mode 100644 index 00000000..2e0ad90e Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/NN/AbstractDeepNeuralNet.class differ diff --git a/bin/main/meka/classifiers/multilabel/NN/AbstractNeuralNet.class b/bin/main/meka/classifiers/multilabel/NN/AbstractNeuralNet.class new file mode 100644 index 00000000..a6fa28ba Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/NN/AbstractNeuralNet.class differ diff --git a/bin/main/meka/classifiers/multilabel/PCC.class b/bin/main/meka/classifiers/multilabel/PCC.class new file mode 100644 index 00000000..11865634 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/PCC.class differ diff --git a/bin/main/meka/classifiers/multilabel/PLST.class b/bin/main/meka/classifiers/multilabel/PLST.class new file mode 100644 index 00000000..1c9b05be Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/PLST.class differ diff --git a/bin/main/meka/classifiers/multilabel/PMCC.class b/bin/main/meka/classifiers/multilabel/PMCC.class new file mode 100644 index 00000000..ea5f9bd1 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/PMCC.class differ diff --git a/bin/main/meka/classifiers/multilabel/PS.class b/bin/main/meka/classifiers/multilabel/PS.class new file mode 100644 index 00000000..20dd9e9e Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/PS.class differ diff --git a/bin/main/meka/classifiers/multilabel/PSt.class b/bin/main/meka/classifiers/multilabel/PSt.class new file mode 100644 index 00000000..afc5f7fe Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/PSt.class differ diff --git a/bin/main/meka/classifiers/multilabel/ProblemTransformationMethod.class b/bin/main/meka/classifiers/multilabel/ProblemTransformationMethod.class new file mode 100644 index 00000000..bad7a332 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/ProblemTransformationMethod.class differ diff --git a/bin/main/meka/classifiers/multilabel/RAkEL.class b/bin/main/meka/classifiers/multilabel/RAkEL.class new file mode 100644 index 00000000..8b144926 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/RAkEL.class differ diff --git a/bin/main/meka/classifiers/multilabel/RAkELd.class b/bin/main/meka/classifiers/multilabel/RAkELd.class new file mode 100644 index 00000000..0e6c4c1c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/RAkELd.class differ diff --git a/bin/main/meka/classifiers/multilabel/RT.class b/bin/main/meka/classifiers/multilabel/RT.class new file mode 100644 index 00000000..3a48a371 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/RT.class differ diff --git a/bin/main/meka/classifiers/multilabel/SemisupervisedClassifier.class b/bin/main/meka/classifiers/multilabel/SemisupervisedClassifier.class new file mode 100644 index 00000000..58e4016c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/SemisupervisedClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/cc/CNode.class b/bin/main/meka/classifiers/multilabel/cc/CNode.class new file mode 100644 index 00000000..ec168351 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/cc/CNode.class differ diff --git a/bin/main/meka/classifiers/multilabel/cc/Trellis.class b/bin/main/meka/classifiers/multilabel/cc/Trellis.class new file mode 100644 index 00000000..6a54c3eb Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/cc/Trellis.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/BRUpdateable.class b/bin/main/meka/classifiers/multilabel/incremental/BRUpdateable.class new file mode 100644 index 00000000..2b1eb3ba Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/BRUpdateable.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/CCUpdateable$ULink.class b/bin/main/meka/classifiers/multilabel/incremental/CCUpdateable$ULink.class new file mode 100644 index 00000000..36cfac47 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/CCUpdateable$ULink.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/CCUpdateable.class b/bin/main/meka/classifiers/multilabel/incremental/CCUpdateable.class new file mode 100644 index 00000000..97233ad5 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/CCUpdateable.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateable.class b/bin/main/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateable.class new file mode 100644 index 00000000..57b2237f Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateable.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/PSUpdateable.class b/bin/main/meka/classifiers/multilabel/incremental/PSUpdateable.class new file mode 100644 index 00000000..9042001a Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/PSUpdateable.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/RTUpdateable.class b/bin/main/meka/classifiers/multilabel/incremental/RTUpdateable.class new file mode 100644 index 00000000..436a082c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/RTUpdateable.class differ diff --git a/bin/main/meka/classifiers/multilabel/incremental/meta/BaggingMLUpdateable.class b/bin/main/meka/classifiers/multilabel/incremental/meta/BaggingMLUpdateable.class new file mode 100644 index 00000000..9c63bae9 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/incremental/meta/BaggingMLUpdateable.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/BaggingML.class b/bin/main/meka/classifiers/multilabel/meta/BaggingML.class new file mode 100644 index 00000000..6293b1c6 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/BaggingML.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/BaggingMLdup.class b/bin/main/meka/classifiers/multilabel/meta/BaggingMLdup.class new file mode 100644 index 00000000..5556963c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/BaggingMLdup.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/CM.class b/bin/main/meka/classifiers/multilabel/meta/CM.class new file mode 100644 index 00000000..69516163 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/CM.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/DeepML.class b/bin/main/meka/classifiers/multilabel/meta/DeepML.class new file mode 100644 index 00000000..93a23199 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/DeepML.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/EM.class b/bin/main/meka/classifiers/multilabel/meta/EM.class new file mode 100644 index 00000000..196afef6 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/EM.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/EnsembleML.class b/bin/main/meka/classifiers/multilabel/meta/EnsembleML.class new file mode 100644 index 00000000..31ba3ace Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/EnsembleML.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/FilteredClassifier.class b/bin/main/meka/classifiers/multilabel/meta/FilteredClassifier.class new file mode 100644 index 00000000..2178faaa Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/FilteredClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/MBR.class b/bin/main/meka/classifiers/multilabel/meta/MBR.class new file mode 100644 index 00000000..b9f65e5c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/MBR.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/MetaProblemTransformationMethod.class b/bin/main/meka/classifiers/multilabel/meta/MetaProblemTransformationMethod.class new file mode 100644 index 00000000..e1ab84ff Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/MetaProblemTransformationMethod.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/MultiSearch.class b/bin/main/meka/classifiers/multilabel/meta/MultiSearch.class new file mode 100644 index 00000000..87ace424 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/MultiSearch.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/RandomSubspaceML.class b/bin/main/meka/classifiers/multilabel/meta/RandomSubspaceML.class new file mode 100644 index 00000000..9d995398 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/RandomSubspaceML.class differ diff --git a/bin/main/meka/classifiers/multilabel/meta/SubsetMapper.class b/bin/main/meka/classifiers/multilabel/meta/SubsetMapper.class new file mode 100644 index 00000000..fcdace70 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/meta/SubsetMapper.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetwork.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetwork.class new file mode 100644 index 00000000..e68b365d Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetwork.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkClass.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkClass.class new file mode 100644 index 00000000..f5a869c8 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkClass.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparse.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparse.class new file mode 100644 index 00000000..118b01d1 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparse.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseH.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseH.class new file mode 100644 index 00000000..31acb0e6 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseH.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT$SortPair2.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT$SortPair2.class new file mode 100644 index 00000000..3e39b20c Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT$SortPair2.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT.class new file mode 100644 index 00000000..4b9aa559 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT_Strange.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT_Strange.class new file mode 100644 index 00000000..371eeddc Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseHT_Strange.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseV$SortPair2.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseV$SortPair2.class new file mode 100644 index 00000000..9daf2d01 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseV$SortPair2.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseV.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseV.class new file mode 100644 index 00000000..87a6dad9 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkSparseV.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkfast$SortPair2.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkfast$SortPair2.class new file mode 100644 index 00000000..b0c01d93 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkfast$SortPair2.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkfast.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkfast.class new file mode 100644 index 00000000..bae25541 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARAMNetworkfast.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ARTCluster.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARTCluster.class new file mode 100644 index 00000000..a29520d0 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ARTCluster.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/HARAMNetwork.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/HARAMNetwork.class new file mode 100644 index 00000000..4f7ee876 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/HARAMNetwork.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/ST.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/ST.class new file mode 100644 index 00000000..4080dacc Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/ST.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/SortPair.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/SortPair.class new file mode 100644 index 00000000..981b5fd1 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/SortPair.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/SparseArray.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/SparseArray.class new file mode 100644 index 00000000..4c8446dd Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/SparseArray.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/SparseVector.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/SparseVector.class new file mode 100644 index 00000000..0293fd75 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/SparseVector.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/WARAM.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/WARAM.class new file mode 100644 index 00000000..542f6626 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/WARAM.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$BuildClassifier.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$BuildClassifier.class new file mode 100644 index 00000000..46843a96 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$BuildClassifier.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$DistributionCalc.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$DistributionCalc.class new file mode 100644 index 00000000..3d487a01 Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$DistributionCalc.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$DistributionCalcM.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$DistributionCalcM.class new file mode 100644 index 00000000..f6df4c6b Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM$DistributionCalcM.class differ diff --git a/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM.class b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM.class new file mode 100644 index 00000000..b9505f5f Binary files /dev/null and b/bin/main/meka/classifiers/multilabel/neurofuzzy/WvARAM.class differ diff --git a/bin/main/meka/classifiers/multitarget/BCC.class b/bin/main/meka/classifiers/multitarget/BCC.class new file mode 100644 index 00000000..47f08e7a Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/BCC.class differ diff --git a/bin/main/meka/classifiers/multitarget/CC.class b/bin/main/meka/classifiers/multitarget/CC.class new file mode 100644 index 00000000..4a95509c Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/CC.class differ diff --git a/bin/main/meka/classifiers/multitarget/CCp$Link.class b/bin/main/meka/classifiers/multitarget/CCp$Link.class new file mode 100644 index 00000000..c63317bb Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/CCp$Link.class differ diff --git a/bin/main/meka/classifiers/multitarget/CCp.class b/bin/main/meka/classifiers/multitarget/CCp.class new file mode 100644 index 00000000..feada6aa Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/CCp.class differ diff --git a/bin/main/meka/classifiers/multitarget/CR.class b/bin/main/meka/classifiers/multitarget/CR.class new file mode 100644 index 00000000..75d45cab Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/CR.class differ diff --git a/bin/main/meka/classifiers/multitarget/IncrementalMultiTargetClassifier.class b/bin/main/meka/classifiers/multitarget/IncrementalMultiTargetClassifier.class new file mode 100644 index 00000000..e2eb1ea4 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/IncrementalMultiTargetClassifier.class differ diff --git a/bin/main/meka/classifiers/multitarget/MultiTargetClassifier.class b/bin/main/meka/classifiers/multitarget/MultiTargetClassifier.class new file mode 100644 index 00000000..77e10d61 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/MultiTargetClassifier.class differ diff --git a/bin/main/meka/classifiers/multitarget/NSR$1.class b/bin/main/meka/classifiers/multitarget/NSR$1.class new file mode 100644 index 00000000..dda65b9b Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/NSR$1.class differ diff --git a/bin/main/meka/classifiers/multitarget/NSR.class b/bin/main/meka/classifiers/multitarget/NSR.class new file mode 100644 index 00000000..c1de56e0 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/NSR.class differ diff --git a/bin/main/meka/classifiers/multitarget/RAkELd.class b/bin/main/meka/classifiers/multitarget/RAkELd.class new file mode 100644 index 00000000..918060d8 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/RAkELd.class differ diff --git a/bin/main/meka/classifiers/multitarget/SCC.class b/bin/main/meka/classifiers/multitarget/SCC.class new file mode 100644 index 00000000..a13a331e Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/SCC.class differ diff --git a/bin/main/meka/classifiers/multitarget/incremental/CRUpdateable.class b/bin/main/meka/classifiers/multitarget/incremental/CRUpdateable.class new file mode 100644 index 00000000..97767e51 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/incremental/CRUpdateable.class differ diff --git a/bin/main/meka/classifiers/multitarget/meta/BaggingMT.class b/bin/main/meka/classifiers/multitarget/meta/BaggingMT.class new file mode 100644 index 00000000..a7b26eef Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/meta/BaggingMT.class differ diff --git a/bin/main/meka/classifiers/multitarget/meta/EnsembleMT.class b/bin/main/meka/classifiers/multitarget/meta/EnsembleMT.class new file mode 100644 index 00000000..9177f66b Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/meta/EnsembleMT.class differ diff --git a/bin/main/meka/classifiers/multitarget/meta/FilteredClassifier.class b/bin/main/meka/classifiers/multitarget/meta/FilteredClassifier.class new file mode 100644 index 00000000..08642d86 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/meta/FilteredClassifier.class differ diff --git a/bin/main/meka/classifiers/multitarget/meta/MultiSearch.class b/bin/main/meka/classifiers/multitarget/meta/MultiSearch.class new file mode 100644 index 00000000..0aa23152 Binary files /dev/null and b/bin/main/meka/classifiers/multitarget/meta/MultiSearch.class differ diff --git a/bin/main/meka/core/A.class b/bin/main/meka/core/A.class new file mode 100644 index 00000000..0abbe96d Binary files /dev/null and b/bin/main/meka/core/A.class differ diff --git a/bin/main/meka/core/CCUtils.class b/bin/main/meka/core/CCUtils.class new file mode 100644 index 00000000..492eeb1c Binary files /dev/null and b/bin/main/meka/core/CCUtils.class differ diff --git a/bin/main/meka/core/ExceptionUtils.class b/bin/main/meka/core/ExceptionUtils.class new file mode 100644 index 00000000..636a853d Binary files /dev/null and b/bin/main/meka/core/ExceptionUtils.class differ diff --git a/bin/main/meka/core/F.class b/bin/main/meka/core/F.class new file mode 100644 index 00000000..5866f521 Binary files /dev/null and b/bin/main/meka/core/F.class differ diff --git a/bin/main/meka/core/FileFormatSupporter.class b/bin/main/meka/core/FileFormatSupporter.class new file mode 100644 index 00000000..9d53da3a Binary files /dev/null and b/bin/main/meka/core/FileFormatSupporter.class differ diff --git a/bin/main/meka/core/FileUtils.class b/bin/main/meka/core/FileUtils.class new file mode 100644 index 00000000..a52f47b8 Binary files /dev/null and b/bin/main/meka/core/FileUtils.class differ diff --git a/bin/main/meka/core/LabelSet.class b/bin/main/meka/core/LabelSet.class new file mode 100644 index 00000000..ce73ce82 Binary files /dev/null and b/bin/main/meka/core/LabelSet.class differ diff --git a/bin/main/meka/core/LabelSetComparator.class b/bin/main/meka/core/LabelSetComparator.class new file mode 100644 index 00000000..f45d9912 Binary files /dev/null and b/bin/main/meka/core/LabelSetComparator.class differ diff --git a/bin/main/meka/core/LabelVector.class b/bin/main/meka/core/LabelVector.class new file mode 100644 index 00000000..ca1c52b2 Binary files /dev/null and b/bin/main/meka/core/LabelVector.class differ diff --git a/bin/main/meka/core/LatexUtils$Characters.class b/bin/main/meka/core/LatexUtils$Characters.class new file mode 100644 index 00000000..2d785cad Binary files /dev/null and b/bin/main/meka/core/LatexUtils$Characters.class differ diff --git a/bin/main/meka/core/LatexUtils.class b/bin/main/meka/core/LatexUtils.class new file mode 100644 index 00000000..2477ac63 Binary files /dev/null and b/bin/main/meka/core/LatexUtils.class differ diff --git a/bin/main/meka/core/MLEvalUtils.class b/bin/main/meka/core/MLEvalUtils.class new file mode 100644 index 00000000..1a76f3c6 Binary files /dev/null and b/bin/main/meka/core/MLEvalUtils.class differ diff --git a/bin/main/meka/core/MLUtils.class b/bin/main/meka/core/MLUtils.class new file mode 100644 index 00000000..4ee46333 Binary files /dev/null and b/bin/main/meka/core/MLUtils.class differ diff --git a/bin/main/meka/core/MatrixUtils.class b/bin/main/meka/core/MatrixUtils.class new file mode 100644 index 00000000..1185244f Binary files /dev/null and b/bin/main/meka/core/MatrixUtils.class differ diff --git a/bin/main/meka/core/Metrics.class b/bin/main/meka/core/Metrics.class new file mode 100644 index 00000000..0b0aff92 Binary files /dev/null and b/bin/main/meka/core/Metrics.class differ diff --git a/bin/main/meka/core/MultiLabelDrawable.class b/bin/main/meka/core/MultiLabelDrawable.class new file mode 100644 index 00000000..c1b0e2bd Binary files /dev/null and b/bin/main/meka/core/MultiLabelDrawable.class differ diff --git a/bin/main/meka/core/OS.class b/bin/main/meka/core/OS.class new file mode 100644 index 00000000..c08dc865 Binary files /dev/null and b/bin/main/meka/core/OS.class differ diff --git a/bin/main/meka/core/ObjectUtils.class b/bin/main/meka/core/ObjectUtils.class new file mode 100644 index 00000000..525afa36 Binary files /dev/null and b/bin/main/meka/core/ObjectUtils.class differ diff --git a/bin/main/meka/core/OptionUtils.class b/bin/main/meka/core/OptionUtils.class new file mode 100644 index 00000000..dc4006ec Binary files /dev/null and b/bin/main/meka/core/OptionUtils.class differ diff --git a/bin/main/meka/core/PSUtils.class b/bin/main/meka/core/PSUtils.class new file mode 100644 index 00000000..766bfb46 Binary files /dev/null and b/bin/main/meka/core/PSUtils.class differ diff --git a/bin/main/meka/core/Project.class b/bin/main/meka/core/Project.class new file mode 100644 index 00000000..bc90b546 Binary files /dev/null and b/bin/main/meka/core/Project.class differ diff --git a/bin/main/meka/core/PropsUtils.class b/bin/main/meka/core/PropsUtils.class new file mode 100644 index 00000000..4906c011 Binary files /dev/null and b/bin/main/meka/core/PropsUtils.class differ diff --git a/bin/main/meka/core/Result.class b/bin/main/meka/core/Result.class new file mode 100644 index 00000000..fbccac04 Binary files /dev/null and b/bin/main/meka/core/Result.class differ diff --git a/bin/main/meka/core/StatUtils.class b/bin/main/meka/core/StatUtils.class new file mode 100644 index 00000000..e6a7d9c8 Binary files /dev/null and b/bin/main/meka/core/StatUtils.class differ diff --git a/bin/main/meka/core/SuperLabel.class b/bin/main/meka/core/SuperLabel.class new file mode 100644 index 00000000..108ebefc Binary files /dev/null and b/bin/main/meka/core/SuperLabel.class differ diff --git a/bin/main/meka/core/SuperLabelUtils$1.class b/bin/main/meka/core/SuperLabelUtils$1.class new file mode 100644 index 00000000..38b93ca3 Binary files /dev/null and b/bin/main/meka/core/SuperLabelUtils$1.class differ diff --git a/bin/main/meka/core/SuperLabelUtils.class b/bin/main/meka/core/SuperLabelUtils.class new file mode 100644 index 00000000..7ad42665 Binary files /dev/null and b/bin/main/meka/core/SuperLabelUtils.class differ diff --git a/bin/main/meka/core/SystemInfo.class b/bin/main/meka/core/SystemInfo.class new file mode 100644 index 00000000..60533424 Binary files /dev/null and b/bin/main/meka/core/SystemInfo.class differ diff --git a/bin/main/meka/core/ThreadLimiter.class b/bin/main/meka/core/ThreadLimiter.class new file mode 100644 index 00000000..a37d972d Binary files /dev/null and b/bin/main/meka/core/ThreadLimiter.class differ diff --git a/bin/main/meka/core/ThreadUtils.class b/bin/main/meka/core/ThreadUtils.class new file mode 100644 index 00000000..2676c1e8 Binary files /dev/null and b/bin/main/meka/core/ThreadUtils.class differ diff --git a/bin/main/meka/core/ThresholdUtils.class b/bin/main/meka/core/ThresholdUtils.class new file mode 100644 index 00000000..1dd2abcc Binary files /dev/null and b/bin/main/meka/core/ThresholdUtils.class differ diff --git a/bin/main/meka/core/Version.class b/bin/main/meka/core/Version.class new file mode 100644 index 00000000..812b3840 Binary files /dev/null and b/bin/main/meka/core/Version.class differ diff --git a/bin/main/meka/core/converters/MultiLabelTextDirectoryLoader.class b/bin/main/meka/core/converters/MultiLabelTextDirectoryLoader.class new file mode 100644 index 00000000..1834f95c Binary files /dev/null and b/bin/main/meka/core/converters/MultiLabelTextDirectoryLoader.class differ diff --git a/bin/main/meka/core/multisearch/MekaEvaluationFactory.class b/bin/main/meka/core/multisearch/MekaEvaluationFactory.class new file mode 100644 index 00000000..7ea363e6 Binary files /dev/null and b/bin/main/meka/core/multisearch/MekaEvaluationFactory.class differ diff --git a/bin/main/meka/core/multisearch/MekaEvaluationMetrics.class b/bin/main/meka/core/multisearch/MekaEvaluationMetrics.class new file mode 100644 index 00000000..18f9787e Binary files /dev/null and b/bin/main/meka/core/multisearch/MekaEvaluationMetrics.class differ diff --git a/bin/main/meka/core/multisearch/MekaEvaluationTask.class b/bin/main/meka/core/multisearch/MekaEvaluationTask.class new file mode 100644 index 00000000..6cd3b691 Binary files /dev/null and b/bin/main/meka/core/multisearch/MekaEvaluationTask.class differ diff --git a/bin/main/meka/core/multisearch/MekaEvaluationWrapper.class b/bin/main/meka/core/multisearch/MekaEvaluationWrapper.class new file mode 100644 index 00000000..04c19508 Binary files /dev/null and b/bin/main/meka/core/multisearch/MekaEvaluationWrapper.class differ diff --git a/bin/main/meka/core/multisearch/MekaSearch.class b/bin/main/meka/core/multisearch/MekaSearch.class new file mode 100644 index 00000000..5c60e43c Binary files /dev/null and b/bin/main/meka/core/multisearch/MekaSearch.class differ diff --git a/bin/main/meka/core/version.txt b/bin/main/meka/core/version.txt new file mode 100644 index 00000000..f2ab45c3 --- /dev/null +++ b/bin/main/meka/core/version.txt @@ -0,0 +1 @@ +${project.version} \ No newline at end of file diff --git a/bin/main/meka/doc/AbstractMarkdownGenerator.class b/bin/main/meka/doc/AbstractMarkdownGenerator.class new file mode 100644 index 00000000..d465d9d7 Binary files /dev/null and b/bin/main/meka/doc/AbstractMarkdownGenerator.class differ diff --git a/bin/main/meka/doc/AbstractOutputClassHierarchy.class b/bin/main/meka/doc/AbstractOutputClassHierarchy.class new file mode 100644 index 00000000..a8191599 Binary files /dev/null and b/bin/main/meka/doc/AbstractOutputClassHierarchy.class differ diff --git a/bin/main/meka/doc/ClassMarkdown.class b/bin/main/meka/doc/ClassMarkdown.class new file mode 100644 index 00000000..2a7439a8 Binary files /dev/null and b/bin/main/meka/doc/ClassMarkdown.class differ diff --git a/bin/main/meka/doc/OutputClassHierarchyMarkdown.class b/bin/main/meka/doc/OutputClassHierarchyMarkdown.class new file mode 100644 index 00000000..e3fd2273 Binary files /dev/null and b/bin/main/meka/doc/OutputClassHierarchyMarkdown.class differ diff --git a/bin/main/meka/events/LogEvent.class b/bin/main/meka/events/LogEvent.class new file mode 100644 index 00000000..fc275b79 Binary files /dev/null and b/bin/main/meka/events/LogEvent.class differ diff --git a/bin/main/meka/events/LogListener.class b/bin/main/meka/events/LogListener.class new file mode 100644 index 00000000..4e3be278 Binary files /dev/null and b/bin/main/meka/events/LogListener.class differ diff --git a/bin/main/meka/events/LogObject.class b/bin/main/meka/events/LogObject.class new file mode 100644 index 00000000..7ba93ee3 Binary files /dev/null and b/bin/main/meka/events/LogObject.class differ diff --git a/bin/main/meka/events/LogSupporter.class b/bin/main/meka/events/LogSupporter.class new file mode 100644 index 00000000..2bc9e783 Binary files /dev/null and b/bin/main/meka/events/LogSupporter.class differ diff --git a/bin/main/meka/experiment/DefaultExperiment.class b/bin/main/meka/experiment/DefaultExperiment.class new file mode 100644 index 00000000..be96c2f6 Binary files /dev/null and b/bin/main/meka/experiment/DefaultExperiment.class differ diff --git a/bin/main/meka/experiment/Experiment.class b/bin/main/meka/experiment/Experiment.class new file mode 100644 index 00000000..4208e433 Binary files /dev/null and b/bin/main/meka/experiment/Experiment.class differ diff --git a/bin/main/meka/experiment/ExperimentUtils.class b/bin/main/meka/experiment/ExperimentUtils.class new file mode 100644 index 00000000..c8eaa872 Binary files /dev/null and b/bin/main/meka/experiment/ExperimentUtils.class differ diff --git a/bin/main/meka/experiment/datasetproviders/AbstractDatasetProvider.class b/bin/main/meka/experiment/datasetproviders/AbstractDatasetProvider.class new file mode 100644 index 00000000..fdca1a4c Binary files /dev/null and b/bin/main/meka/experiment/datasetproviders/AbstractDatasetProvider.class differ diff --git a/bin/main/meka/experiment/datasetproviders/DatasetProvider.class b/bin/main/meka/experiment/datasetproviders/DatasetProvider.class new file mode 100644 index 00000000..42d904bf Binary files /dev/null and b/bin/main/meka/experiment/datasetproviders/DatasetProvider.class differ diff --git a/bin/main/meka/experiment/datasetproviders/LocalDatasetProvider.class b/bin/main/meka/experiment/datasetproviders/LocalDatasetProvider.class new file mode 100644 index 00000000..9179b334 Binary files /dev/null and b/bin/main/meka/experiment/datasetproviders/LocalDatasetProvider.class differ diff --git a/bin/main/meka/experiment/datasetproviders/MultiDatasetProvider.class b/bin/main/meka/experiment/datasetproviders/MultiDatasetProvider.class new file mode 100644 index 00000000..db1f710a Binary files /dev/null and b/bin/main/meka/experiment/datasetproviders/MultiDatasetProvider.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/AbstractEvaluationStatisticsHandler.class b/bin/main/meka/experiment/evaluationstatistics/AbstractEvaluationStatisticsHandler.class new file mode 100644 index 00000000..db73c96d Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/AbstractEvaluationStatisticsHandler.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/AbstractFileBasedEvaluationStatisticsHandler.class b/bin/main/meka/experiment/evaluationstatistics/AbstractFileBasedEvaluationStatisticsHandler.class new file mode 100644 index 00000000..a6841973 Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/AbstractFileBasedEvaluationStatisticsHandler.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/EvaluationStatistics.class b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatistics.class new file mode 100644 index 00000000..4ae3e8e5 Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatistics.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsComparator.class b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsComparator.class new file mode 100644 index 00000000..9748ee4a Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsComparator.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsHandler.class b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsHandler.class new file mode 100644 index 00000000..66a23044 Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsHandler.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsUtils.class b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsUtils.class new file mode 100644 index 00000000..3861233f Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/EvaluationStatisticsUtils.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/FileBasedEvaluationStatisticsHandler.class b/bin/main/meka/experiment/evaluationstatistics/FileBasedEvaluationStatisticsHandler.class new file mode 100644 index 00000000..dd7733fd Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/FileBasedEvaluationStatisticsHandler.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/InMemory.class b/bin/main/meka/experiment/evaluationstatistics/InMemory.class new file mode 100644 index 00000000..06e1de89 Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/InMemory.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/IncrementalEvaluationStatisticsHandler.class b/bin/main/meka/experiment/evaluationstatistics/IncrementalEvaluationStatisticsHandler.class new file mode 100644 index 00000000..e06d6650 Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/IncrementalEvaluationStatisticsHandler.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/KeyValuePairs.class b/bin/main/meka/experiment/evaluationstatistics/KeyValuePairs.class new file mode 100644 index 00000000..650ba463 Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/KeyValuePairs.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/OptionalIncrementalEvaluationStatisticsHandler.class b/bin/main/meka/experiment/evaluationstatistics/OptionalIncrementalEvaluationStatisticsHandler.class new file mode 100644 index 00000000..390e6a9b Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/OptionalIncrementalEvaluationStatisticsHandler.class differ diff --git a/bin/main/meka/experiment/evaluationstatistics/Serialized.class b/bin/main/meka/experiment/evaluationstatistics/Serialized.class new file mode 100644 index 00000000..5c078a1d Binary files /dev/null and b/bin/main/meka/experiment/evaluationstatistics/Serialized.class differ diff --git a/bin/main/meka/experiment/evaluators/AbstractEvaluator.class b/bin/main/meka/experiment/evaluators/AbstractEvaluator.class new file mode 100644 index 00000000..863af9a1 Binary files /dev/null and b/bin/main/meka/experiment/evaluators/AbstractEvaluator.class differ diff --git a/bin/main/meka/experiment/evaluators/AbstractMetaEvaluator.class b/bin/main/meka/experiment/evaluators/AbstractMetaEvaluator.class new file mode 100644 index 00000000..7381e507 Binary files /dev/null and b/bin/main/meka/experiment/evaluators/AbstractMetaEvaluator.class differ diff --git a/bin/main/meka/experiment/evaluators/CrossValidation$1.class b/bin/main/meka/experiment/evaluators/CrossValidation$1.class new file mode 100644 index 00000000..7a15784f Binary files /dev/null and b/bin/main/meka/experiment/evaluators/CrossValidation$1.class differ diff --git a/bin/main/meka/experiment/evaluators/CrossValidation.class b/bin/main/meka/experiment/evaluators/CrossValidation.class new file mode 100644 index 00000000..9d5a10dd Binary files /dev/null and b/bin/main/meka/experiment/evaluators/CrossValidation.class differ diff --git a/bin/main/meka/experiment/evaluators/Evaluator.class b/bin/main/meka/experiment/evaluators/Evaluator.class new file mode 100644 index 00000000..97b2df12 Binary files /dev/null and b/bin/main/meka/experiment/evaluators/Evaluator.class differ diff --git a/bin/main/meka/experiment/evaluators/EvaluatorJob.class b/bin/main/meka/experiment/evaluators/EvaluatorJob.class new file mode 100644 index 00000000..6780653e Binary files /dev/null and b/bin/main/meka/experiment/evaluators/EvaluatorJob.class differ diff --git a/bin/main/meka/experiment/evaluators/PercentageSplit.class b/bin/main/meka/experiment/evaluators/PercentageSplit.class new file mode 100644 index 00000000..87eca2fe Binary files /dev/null and b/bin/main/meka/experiment/evaluators/PercentageSplit.class differ diff --git a/bin/main/meka/experiment/evaluators/RepeatedRuns$1.class b/bin/main/meka/experiment/evaluators/RepeatedRuns$1.class new file mode 100644 index 00000000..08177d10 Binary files /dev/null and b/bin/main/meka/experiment/evaluators/RepeatedRuns$1.class differ diff --git a/bin/main/meka/experiment/evaluators/RepeatedRuns.class b/bin/main/meka/experiment/evaluators/RepeatedRuns.class new file mode 100644 index 00000000..89a10169 Binary files /dev/null and b/bin/main/meka/experiment/evaluators/RepeatedRuns.class differ diff --git a/bin/main/meka/experiment/events/ExecutionStageEvent$Stage.class b/bin/main/meka/experiment/events/ExecutionStageEvent$Stage.class new file mode 100644 index 00000000..bf5c142f Binary files /dev/null and b/bin/main/meka/experiment/events/ExecutionStageEvent$Stage.class differ diff --git a/bin/main/meka/experiment/events/ExecutionStageEvent.class b/bin/main/meka/experiment/events/ExecutionStageEvent.class new file mode 100644 index 00000000..95d2b94f Binary files /dev/null and b/bin/main/meka/experiment/events/ExecutionStageEvent.class differ diff --git a/bin/main/meka/experiment/events/ExecutionStageListener.class b/bin/main/meka/experiment/events/ExecutionStageListener.class new file mode 100644 index 00000000..fd069ba4 Binary files /dev/null and b/bin/main/meka/experiment/events/ExecutionStageListener.class differ diff --git a/bin/main/meka/experiment/events/IterationNotificationEvent.class b/bin/main/meka/experiment/events/IterationNotificationEvent.class new file mode 100644 index 00000000..6fada845 Binary files /dev/null and b/bin/main/meka/experiment/events/IterationNotificationEvent.class differ diff --git a/bin/main/meka/experiment/events/IterationNotificationListener.class b/bin/main/meka/experiment/events/IterationNotificationListener.class new file mode 100644 index 00000000..7d877d43 Binary files /dev/null and b/bin/main/meka/experiment/events/IterationNotificationListener.class differ diff --git a/bin/main/meka/experiment/events/StatisticsNotificationEvent.class b/bin/main/meka/experiment/events/StatisticsNotificationEvent.class new file mode 100644 index 00000000..51e01a77 Binary files /dev/null and b/bin/main/meka/experiment/events/StatisticsNotificationEvent.class differ diff --git a/bin/main/meka/experiment/events/StatisticsNotificationListener.class b/bin/main/meka/experiment/events/StatisticsNotificationListener.class new file mode 100644 index 00000000..27e78d25 Binary files /dev/null and b/bin/main/meka/experiment/events/StatisticsNotificationListener.class differ diff --git a/bin/main/meka/experiment/filehandlers/AbstractExperimentFileHandler.class b/bin/main/meka/experiment/filehandlers/AbstractExperimentFileHandler.class new file mode 100644 index 00000000..a8d4259f Binary files /dev/null and b/bin/main/meka/experiment/filehandlers/AbstractExperimentFileHandler.class differ diff --git a/bin/main/meka/experiment/filehandlers/CommandLineSetup.class b/bin/main/meka/experiment/filehandlers/CommandLineSetup.class new file mode 100644 index 00000000..e052dea4 Binary files /dev/null and b/bin/main/meka/experiment/filehandlers/CommandLineSetup.class differ diff --git a/bin/main/meka/experiment/filehandlers/ExperimentFileHandler.class b/bin/main/meka/experiment/filehandlers/ExperimentFileHandler.class new file mode 100644 index 00000000..628d906c Binary files /dev/null and b/bin/main/meka/experiment/filehandlers/ExperimentFileHandler.class differ diff --git a/bin/main/meka/experiment/filehandlers/SerializedExperiment.class b/bin/main/meka/experiment/filehandlers/SerializedExperiment.class new file mode 100644 index 00000000..845c4c43 Binary files /dev/null and b/bin/main/meka/experiment/filehandlers/SerializedExperiment.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/AbstractEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/AbstractEvaluationStatisticsExporter.class new file mode 100644 index 00000000..232883c5 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/AbstractEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/AbstractFileBasedEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/AbstractFileBasedEvaluationStatisticsExporter.class new file mode 100644 index 00000000..48fa4f7c Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/AbstractFileBasedEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/AbstractMeasurementEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/AbstractMeasurementEvaluationStatisticsExporter.class new file mode 100644 index 00000000..957ff72d Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/AbstractMeasurementEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/AbstractMetaEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/AbstractMetaEvaluationStatisticsExporter.class new file mode 100644 index 00000000..5c500c2e Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/AbstractMetaEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/AggregatedEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/AggregatedEvaluationStatisticsExporter.class new file mode 100644 index 00000000..707d70d6 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/AggregatedEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/EvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/EvaluationStatisticsExporter.class new file mode 100644 index 00000000..86a0ed2b Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/EvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/FileBasedEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/FileBasedEvaluationStatisticsExporter.class new file mode 100644 index 00000000..14b6a559 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/FileBasedEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/FileBasedMeasurementEvaluationStatisticsExporter.class b/bin/main/meka/experiment/statisticsexporters/FileBasedMeasurementEvaluationStatisticsExporter.class new file mode 100644 index 00000000..b2cf8a00 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/FileBasedMeasurementEvaluationStatisticsExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/InMemory.class b/bin/main/meka/experiment/statisticsexporters/InMemory.class new file mode 100644 index 00000000..74481bdc Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/InMemory.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/LatexMeasurement.class b/bin/main/meka/experiment/statisticsexporters/LatexMeasurement.class new file mode 100644 index 00000000..cf6c64e0 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/LatexMeasurement.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/MultiExporter.class b/bin/main/meka/experiment/statisticsexporters/MultiExporter.class new file mode 100644 index 00000000..e3710575 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/MultiExporter.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/SimpleAggregate.class b/bin/main/meka/experiment/statisticsexporters/SimpleAggregate.class new file mode 100644 index 00000000..3f30ea7d Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/SimpleAggregate.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/TabSeparated.class b/bin/main/meka/experiment/statisticsexporters/TabSeparated.class new file mode 100644 index 00000000..7f04fd7f Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/TabSeparated.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/TabSeparatedMeasurement.class b/bin/main/meka/experiment/statisticsexporters/TabSeparatedMeasurement.class new file mode 100644 index 00000000..2b1f184e Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/TabSeparatedMeasurement.class differ diff --git a/bin/main/meka/experiment/statisticsexporters/WekaFilter.class b/bin/main/meka/experiment/statisticsexporters/WekaFilter.class new file mode 100644 index 00000000..18408300 Binary files /dev/null and b/bin/main/meka/experiment/statisticsexporters/WekaFilter.class differ diff --git a/bin/main/meka/filters/multilabel/SuperNodeFilter.class b/bin/main/meka/filters/multilabel/SuperNodeFilter.class new file mode 100644 index 00000000..a1006866 Binary files /dev/null and b/bin/main/meka/filters/multilabel/SuperNodeFilter.class differ diff --git a/bin/main/meka/filters/unsupervised/attribute/MekaClassAttributes.class b/bin/main/meka/filters/unsupervised/attribute/MekaClassAttributes.class new file mode 100644 index 00000000..60bf0e23 Binary files /dev/null and b/bin/main/meka/filters/unsupervised/attribute/MekaClassAttributes.class differ diff --git a/bin/main/meka/gui/choosers/AbstractConfigurableExtensionFileFilterFileChooser.class b/bin/main/meka/gui/choosers/AbstractConfigurableExtensionFileFilterFileChooser.class new file mode 100644 index 00000000..ea06b3d1 Binary files /dev/null and b/bin/main/meka/gui/choosers/AbstractConfigurableExtensionFileFilterFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/AbstractExtensionFileFilterFileChooser$1.class b/bin/main/meka/gui/choosers/AbstractExtensionFileFilterFileChooser$1.class new file mode 100644 index 00000000..818f5178 Binary files /dev/null and b/bin/main/meka/gui/choosers/AbstractExtensionFileFilterFileChooser$1.class differ diff --git a/bin/main/meka/gui/choosers/AbstractExtensionFileFilterFileChooser.class b/bin/main/meka/gui/choosers/AbstractExtensionFileFilterFileChooser.class new file mode 100644 index 00000000..20f3154a Binary files /dev/null and b/bin/main/meka/gui/choosers/AbstractExtensionFileFilterFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/EvaluationStatisticsExporterFileChooser.class b/bin/main/meka/gui/choosers/EvaluationStatisticsExporterFileChooser.class new file mode 100644 index 00000000..f5860fa5 Binary files /dev/null and b/bin/main/meka/gui/choosers/EvaluationStatisticsExporterFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/EvaluationStatisticsFileChooser.class b/bin/main/meka/gui/choosers/EvaluationStatisticsFileChooser.class new file mode 100644 index 00000000..969d37e2 Binary files /dev/null and b/bin/main/meka/gui/choosers/EvaluationStatisticsFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/ExperimentFileChooser.class b/bin/main/meka/gui/choosers/ExperimentFileChooser.class new file mode 100644 index 00000000..031d32cf Binary files /dev/null and b/bin/main/meka/gui/choosers/ExperimentFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/ExtensionFileFilterComparator.class b/bin/main/meka/gui/choosers/ExtensionFileFilterComparator.class new file mode 100644 index 00000000..f3d3ed79 Binary files /dev/null and b/bin/main/meka/gui/choosers/ExtensionFileFilterComparator.class differ diff --git a/bin/main/meka/gui/choosers/ExtensionFileFilterWithClass.class b/bin/main/meka/gui/choosers/ExtensionFileFilterWithClass.class new file mode 100644 index 00000000..4947c8fc Binary files /dev/null and b/bin/main/meka/gui/choosers/ExtensionFileFilterWithClass.class differ diff --git a/bin/main/meka/gui/choosers/FileTypeDeterminingFileChooser.class b/bin/main/meka/gui/choosers/FileTypeDeterminingFileChooser.class new file mode 100644 index 00000000..313b1add Binary files /dev/null and b/bin/main/meka/gui/choosers/FileTypeDeterminingFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/MeasurementEvaluationStatisticsExporterFileChooser.class b/bin/main/meka/gui/choosers/MeasurementEvaluationStatisticsExporterFileChooser.class new file mode 100644 index 00000000..1aa09874 Binary files /dev/null and b/bin/main/meka/gui/choosers/MeasurementEvaluationStatisticsExporterFileChooser.class differ diff --git a/bin/main/meka/gui/choosers/MekaFileChooser.class b/bin/main/meka/gui/choosers/MekaFileChooser.class new file mode 100644 index 00000000..d6029877 Binary files /dev/null and b/bin/main/meka/gui/choosers/MekaFileChooser.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$1.class b/bin/main/meka/gui/components/AttributeSelectionPanel$1.class new file mode 100644 index 00000000..2e19d6cb Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$1.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$2.class b/bin/main/meka/gui/components/AttributeSelectionPanel$2.class new file mode 100644 index 00000000..2f5ac104 Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$2.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$3.class b/bin/main/meka/gui/components/AttributeSelectionPanel$3.class new file mode 100644 index 00000000..ff082732 Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$3.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$4.class b/bin/main/meka/gui/components/AttributeSelectionPanel$4.class new file mode 100644 index 00000000..4422f124 Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$4.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$5.class b/bin/main/meka/gui/components/AttributeSelectionPanel$5.class new file mode 100644 index 00000000..11bd7334 Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$5.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$AttributeTableModel.class b/bin/main/meka/gui/components/AttributeSelectionPanel$AttributeTableModel.class new file mode 100644 index 00000000..bb25b140 Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$AttributeTableModel.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel$CellRenderer.class b/bin/main/meka/gui/components/AttributeSelectionPanel$CellRenderer.class new file mode 100644 index 00000000..eaacbcd1 Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel$CellRenderer.class differ diff --git a/bin/main/meka/gui/components/AttributeSelectionPanel.class b/bin/main/meka/gui/components/AttributeSelectionPanel.class new file mode 100644 index 00000000..aacde46c Binary files /dev/null and b/bin/main/meka/gui/components/AttributeSelectionPanel.class differ diff --git a/bin/main/meka/gui/core/AbstractRecentItemsHandler$1.class b/bin/main/meka/gui/core/AbstractRecentItemsHandler$1.class new file mode 100644 index 00000000..e85173e5 Binary files /dev/null and b/bin/main/meka/gui/core/AbstractRecentItemsHandler$1.class differ diff --git a/bin/main/meka/gui/core/AbstractRecentItemsHandler$2.class b/bin/main/meka/gui/core/AbstractRecentItemsHandler$2.class new file mode 100644 index 00000000..c28e1187 Binary files /dev/null and b/bin/main/meka/gui/core/AbstractRecentItemsHandler$2.class differ diff --git a/bin/main/meka/gui/core/AbstractRecentItemsHandler.class b/bin/main/meka/gui/core/AbstractRecentItemsHandler.class new file mode 100644 index 00000000..15f44cb6 Binary files /dev/null and b/bin/main/meka/gui/core/AbstractRecentItemsHandler.class differ diff --git a/bin/main/meka/gui/core/ApprovalDialog$1.class b/bin/main/meka/gui/core/ApprovalDialog$1.class new file mode 100644 index 00000000..b512f741 Binary files /dev/null and b/bin/main/meka/gui/core/ApprovalDialog$1.class differ diff --git a/bin/main/meka/gui/core/ApprovalDialog$2.class b/bin/main/meka/gui/core/ApprovalDialog$2.class new file mode 100644 index 00000000..fd75abfc Binary files /dev/null and b/bin/main/meka/gui/core/ApprovalDialog$2.class differ diff --git a/bin/main/meka/gui/core/ApprovalDialog$3.class b/bin/main/meka/gui/core/ApprovalDialog$3.class new file mode 100644 index 00000000..88b3ff72 Binary files /dev/null and b/bin/main/meka/gui/core/ApprovalDialog$3.class differ diff --git a/bin/main/meka/gui/core/ApprovalDialog.class b/bin/main/meka/gui/core/ApprovalDialog.class new file mode 100644 index 00000000..ed33c94b Binary files /dev/null and b/bin/main/meka/gui/core/ApprovalDialog.class differ diff --git a/bin/main/meka/gui/core/CommandLineArgsHandler.class b/bin/main/meka/gui/core/CommandLineArgsHandler.class new file mode 100644 index 00000000..2dda63e3 Binary files /dev/null and b/bin/main/meka/gui/core/CommandLineArgsHandler.class differ diff --git a/bin/main/meka/gui/core/DirectoryChooser.class b/bin/main/meka/gui/core/DirectoryChooser.class new file mode 100644 index 00000000..ee87ecde Binary files /dev/null and b/bin/main/meka/gui/core/DirectoryChooser.class differ diff --git a/bin/main/meka/gui/core/EvaluationStatisticsTableModel.class b/bin/main/meka/gui/core/EvaluationStatisticsTableModel.class new file mode 100644 index 00000000..89411451 Binary files /dev/null and b/bin/main/meka/gui/core/EvaluationStatisticsTableModel.class differ diff --git a/bin/main/meka/gui/core/FileChooserBookmarksPanel$FileChooserBookmarksFactory.class b/bin/main/meka/gui/core/FileChooserBookmarksPanel$FileChooserBookmarksFactory.class new file mode 100644 index 00000000..d3ab157d Binary files /dev/null and b/bin/main/meka/gui/core/FileChooserBookmarksPanel$FileChooserBookmarksFactory.class differ diff --git a/bin/main/meka/gui/core/FileChooserBookmarksPanel$FileChooserBookmarksPropertiesHandler.class b/bin/main/meka/gui/core/FileChooserBookmarksPanel$FileChooserBookmarksPropertiesHandler.class new file mode 100644 index 00000000..1bbd7db2 Binary files /dev/null and b/bin/main/meka/gui/core/FileChooserBookmarksPanel$FileChooserBookmarksPropertiesHandler.class differ diff --git a/bin/main/meka/gui/core/FileChooserBookmarksPanel.class b/bin/main/meka/gui/core/FileChooserBookmarksPanel.class new file mode 100644 index 00000000..895d5e83 Binary files /dev/null and b/bin/main/meka/gui/core/FileChooserBookmarksPanel.class differ diff --git a/bin/main/meka/gui/core/GUIHelper.class b/bin/main/meka/gui/core/GUIHelper.class new file mode 100644 index 00000000..6b85ce51 Binary files /dev/null and b/bin/main/meka/gui/core/GUIHelper.class differ diff --git a/bin/main/meka/gui/core/GUIHelper.props b/bin/main/meka/gui/core/GUIHelper.props new file mode 100644 index 00000000..cfc76f9b --- /dev/null +++ b/bin/main/meka/gui/core/GUIHelper.props @@ -0,0 +1,45 @@ +# Parameters for the GUI. +# +# Author: FracPete (fracpete at waikato dot ac dot nz) +# Version: $Revision: 11598 $ + +# Whether to use the frame maximization fix (affects only Linux) (true|false) +UseFrameMaximizationFix=false + +# The delay in msec used by the frame maximization fix +FrameMaximizationFixDelay=200 + +# the default sizes for the file choosers +FileChooser.Width=750 +FileChooser.Height=500 + +# the default width/height for applications +Default.Width=800 +Default.Height=600 + +# the GUIChooser window +meka.gui.guichooser.GUIChooser.Pack=true + +# the Explorer window +meka.gui.explorer.Explorer.Icon=explorer.gif +meka.gui.explorer.Explorer.Width=800 +meka.gui.explorer.Explorer.Height=600 +meka.gui.explorer.Explorer.Pack=false + +# the Experimenter window +meka.gui.experimenter.Experimenter.Icon=experimenter.gif +meka.gui.experimenter.Experimenter.Width=800 +meka.gui.experimenter.Experimenter.Height=600 +meka.gui.experimenter.Experimenter.Pack=false + +# the Arff viewer window +weka.gui.arffviewer.ArffViewerMainPanel.Icon=report.gif +weka.gui.arffviewer.ArffViewerMainPanel.Width=1024 +weka.gui.arffviewer.ArffViewerMainPanel.Height=768 +weka.gui.arffviewer.ArffViewerMainPanel.Pack=false + +# the Model viewer window +meka.gui.modelviewer.ModelViewer.Icon=model.gif +meka.gui.modelviewer.ModelViewer.Width=800 +meka.gui.modelviewer.ModelViewer.Height=600 +meka.gui.modelviewer.ModelViewer.Pack=false diff --git a/bin/main/meka/gui/core/GUILauncher.class b/bin/main/meka/gui/core/GUILauncher.class new file mode 100644 index 00000000..55e71cc5 Binary files /dev/null and b/bin/main/meka/gui/core/GUILauncher.class differ diff --git a/bin/main/meka/gui/core/JTableHelper$1.class b/bin/main/meka/gui/core/JTableHelper$1.class new file mode 100644 index 00000000..893bbece Binary files /dev/null and b/bin/main/meka/gui/core/JTableHelper$1.class differ diff --git a/bin/main/meka/gui/core/JTableHelper$2.class b/bin/main/meka/gui/core/JTableHelper$2.class new file mode 100644 index 00000000..f1820171 Binary files /dev/null and b/bin/main/meka/gui/core/JTableHelper$2.class differ diff --git a/bin/main/meka/gui/core/JTableHelper.class b/bin/main/meka/gui/core/JTableHelper.class new file mode 100644 index 00000000..2f27f311 Binary files /dev/null and b/bin/main/meka/gui/core/JTableHelper.class differ diff --git a/bin/main/meka/gui/core/ListWithButtons.class b/bin/main/meka/gui/core/ListWithButtons.class new file mode 100644 index 00000000..d50b5e4b Binary files /dev/null and b/bin/main/meka/gui/core/ListWithButtons.class differ diff --git a/bin/main/meka/gui/core/MarkdownDialog.class b/bin/main/meka/gui/core/MarkdownDialog.class new file mode 100644 index 00000000..9b3bfea3 Binary files /dev/null and b/bin/main/meka/gui/core/MarkdownDialog.class differ diff --git a/bin/main/meka/gui/core/MarkdownTextAreaWithPreview$1.class b/bin/main/meka/gui/core/MarkdownTextAreaWithPreview$1.class new file mode 100644 index 00000000..bd4d793e Binary files /dev/null and b/bin/main/meka/gui/core/MarkdownTextAreaWithPreview$1.class differ diff --git a/bin/main/meka/gui/core/MarkdownTextAreaWithPreview.class b/bin/main/meka/gui/core/MarkdownTextAreaWithPreview.class new file mode 100644 index 00000000..4132fba3 Binary files /dev/null and b/bin/main/meka/gui/core/MarkdownTextAreaWithPreview.class differ diff --git a/bin/main/meka/gui/core/MarkdownTextPane.class b/bin/main/meka/gui/core/MarkdownTextPane.class new file mode 100644 index 00000000..fee78b75 Binary files /dev/null and b/bin/main/meka/gui/core/MarkdownTextPane.class differ diff --git a/bin/main/meka/gui/core/MaximizationFixWindowListener$1.class b/bin/main/meka/gui/core/MaximizationFixWindowListener$1.class new file mode 100644 index 00000000..33adb136 Binary files /dev/null and b/bin/main/meka/gui/core/MaximizationFixWindowListener$1.class differ diff --git a/bin/main/meka/gui/core/MaximizationFixWindowListener$2.class b/bin/main/meka/gui/core/MaximizationFixWindowListener$2.class new file mode 100644 index 00000000..081449e8 Binary files /dev/null and b/bin/main/meka/gui/core/MaximizationFixWindowListener$2.class differ diff --git a/bin/main/meka/gui/core/MaximizationFixWindowListener.class b/bin/main/meka/gui/core/MaximizationFixWindowListener.class new file mode 100644 index 00000000..7544dc30 Binary files /dev/null and b/bin/main/meka/gui/core/MaximizationFixWindowListener.class differ diff --git a/bin/main/meka/gui/core/MeasurementEvaluationStatisticsTableModel.class b/bin/main/meka/gui/core/MeasurementEvaluationStatisticsTableModel.class new file mode 100644 index 00000000..7b2f3826 Binary files /dev/null and b/bin/main/meka/gui/core/MeasurementEvaluationStatisticsTableModel.class differ diff --git a/bin/main/meka/gui/core/MekaDialog.class b/bin/main/meka/gui/core/MekaDialog.class new file mode 100644 index 00000000..7c349cfb Binary files /dev/null and b/bin/main/meka/gui/core/MekaDialog.class differ diff --git a/bin/main/meka/gui/core/MekaFrame.class b/bin/main/meka/gui/core/MekaFrame.class new file mode 100644 index 00000000..8494cd6f Binary files /dev/null and b/bin/main/meka/gui/core/MekaFrame.class differ diff --git a/bin/main/meka/gui/core/MekaPanel.class b/bin/main/meka/gui/core/MekaPanel.class new file mode 100644 index 00000000..96ef3ab4 Binary files /dev/null and b/bin/main/meka/gui/core/MekaPanel.class differ diff --git a/bin/main/meka/gui/core/MekaPanelWithButtons.class b/bin/main/meka/gui/core/MekaPanelWithButtons.class new file mode 100644 index 00000000..d5022312 Binary files /dev/null and b/bin/main/meka/gui/core/MekaPanelWithButtons.class differ diff --git a/bin/main/meka/gui/core/MekaTable$1$1.class b/bin/main/meka/gui/core/MekaTable$1$1.class new file mode 100644 index 00000000..8529403c Binary files /dev/null and b/bin/main/meka/gui/core/MekaTable$1$1.class differ diff --git a/bin/main/meka/gui/core/MekaTable$1$2.class b/bin/main/meka/gui/core/MekaTable$1$2.class new file mode 100644 index 00000000..618055d8 Binary files /dev/null and b/bin/main/meka/gui/core/MekaTable$1$2.class differ diff --git a/bin/main/meka/gui/core/MekaTable$1.class b/bin/main/meka/gui/core/MekaTable$1.class new file mode 100644 index 00000000..50ef6d58 Binary files /dev/null and b/bin/main/meka/gui/core/MekaTable$1.class differ diff --git a/bin/main/meka/gui/core/MekaTable$2.class b/bin/main/meka/gui/core/MekaTable$2.class new file mode 100644 index 00000000..5f353642 Binary files /dev/null and b/bin/main/meka/gui/core/MekaTable$2.class differ diff --git a/bin/main/meka/gui/core/MekaTable$3.class b/bin/main/meka/gui/core/MekaTable$3.class new file mode 100644 index 00000000..013a9d29 Binary files /dev/null and b/bin/main/meka/gui/core/MekaTable$3.class differ diff --git a/bin/main/meka/gui/core/MekaTable.class b/bin/main/meka/gui/core/MekaTable.class new file mode 100644 index 00000000..f81b78c6 Binary files /dev/null and b/bin/main/meka/gui/core/MekaTable.class differ diff --git a/bin/main/meka/gui/core/MenuBarProvider.class b/bin/main/meka/gui/core/MenuBarProvider.class new file mode 100644 index 00000000..59c81dfe Binary files /dev/null and b/bin/main/meka/gui/core/MenuBarProvider.class differ diff --git a/bin/main/meka/gui/core/MouseUtils.class b/bin/main/meka/gui/core/MouseUtils.class new file mode 100644 index 00000000..5612c3e3 Binary files /dev/null and b/bin/main/meka/gui/core/MouseUtils.class differ diff --git a/bin/main/meka/gui/core/OneTouchPanel$1.class b/bin/main/meka/gui/core/OneTouchPanel$1.class new file mode 100644 index 00000000..fc104e74 Binary files /dev/null and b/bin/main/meka/gui/core/OneTouchPanel$1.class differ diff --git a/bin/main/meka/gui/core/OneTouchPanel$Location.class b/bin/main/meka/gui/core/OneTouchPanel$Location.class new file mode 100644 index 00000000..9ac86e3c Binary files /dev/null and b/bin/main/meka/gui/core/OneTouchPanel$Location.class differ diff --git a/bin/main/meka/gui/core/OneTouchPanel.class b/bin/main/meka/gui/core/OneTouchPanel.class new file mode 100644 index 00000000..3712482c Binary files /dev/null and b/bin/main/meka/gui/core/OneTouchPanel.class differ diff --git a/bin/main/meka/gui/core/ParameterPanel.class b/bin/main/meka/gui/core/ParameterPanel.class new file mode 100644 index 00000000..3dfbf7b0 Binary files /dev/null and b/bin/main/meka/gui/core/ParameterPanel.class differ diff --git a/bin/main/meka/gui/core/RecentFilesHandler.class b/bin/main/meka/gui/core/RecentFilesHandler.class new file mode 100644 index 00000000..543f5780 Binary files /dev/null and b/bin/main/meka/gui/core/RecentFilesHandler.class differ diff --git a/bin/main/meka/gui/core/RecentFilesHandlerWithCommandline$Setup.class b/bin/main/meka/gui/core/RecentFilesHandlerWithCommandline$Setup.class new file mode 100644 index 00000000..55306b35 Binary files /dev/null and b/bin/main/meka/gui/core/RecentFilesHandlerWithCommandline$Setup.class differ diff --git a/bin/main/meka/gui/core/RecentFilesHandlerWithCommandline.class b/bin/main/meka/gui/core/RecentFilesHandlerWithCommandline.class new file mode 100644 index 00000000..93f151a0 Binary files /dev/null and b/bin/main/meka/gui/core/RecentFilesHandlerWithCommandline.class differ diff --git a/bin/main/meka/gui/core/ResultHistory.class b/bin/main/meka/gui/core/ResultHistory.class new file mode 100644 index 00000000..a04e2655 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistory.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$1.class b/bin/main/meka/gui/core/ResultHistoryList$1.class new file mode 100644 index 00000000..807ab849 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$1.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$2.class b/bin/main/meka/gui/core/ResultHistoryList$2.class new file mode 100644 index 00000000..b19f6607 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$2.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$3.class b/bin/main/meka/gui/core/ResultHistoryList$3.class new file mode 100644 index 00000000..74ac0faf Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$3.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$4.class b/bin/main/meka/gui/core/ResultHistoryList$4.class new file mode 100644 index 00000000..db6e74d0 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$4.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$5.class b/bin/main/meka/gui/core/ResultHistoryList$5.class new file mode 100644 index 00000000..d7fc85c3 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$5.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$ResultHistoryModel.class b/bin/main/meka/gui/core/ResultHistoryList$ResultHistoryModel.class new file mode 100644 index 00000000..e8c83b25 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$ResultHistoryModel.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList$ResultHistoryPopupMenuCustomizer.class b/bin/main/meka/gui/core/ResultHistoryList$ResultHistoryPopupMenuCustomizer.class new file mode 100644 index 00000000..30750a12 Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList$ResultHistoryPopupMenuCustomizer.class differ diff --git a/bin/main/meka/gui/core/ResultHistoryList.class b/bin/main/meka/gui/core/ResultHistoryList.class new file mode 100644 index 00000000..a7f50d9b Binary files /dev/null and b/bin/main/meka/gui/core/ResultHistoryList.class differ diff --git a/bin/main/meka/gui/core/SearchPanel$1.class b/bin/main/meka/gui/core/SearchPanel$1.class new file mode 100644 index 00000000..0212fe55 Binary files /dev/null and b/bin/main/meka/gui/core/SearchPanel$1.class differ diff --git a/bin/main/meka/gui/core/SearchPanel$2.class b/bin/main/meka/gui/core/SearchPanel$2.class new file mode 100644 index 00000000..e8d6a8c4 Binary files /dev/null and b/bin/main/meka/gui/core/SearchPanel$2.class differ diff --git a/bin/main/meka/gui/core/SearchPanel$3.class b/bin/main/meka/gui/core/SearchPanel$3.class new file mode 100644 index 00000000..ed99b73f Binary files /dev/null and b/bin/main/meka/gui/core/SearchPanel$3.class differ diff --git a/bin/main/meka/gui/core/SearchPanel$LayoutType.class b/bin/main/meka/gui/core/SearchPanel$LayoutType.class new file mode 100644 index 00000000..9d09333c Binary files /dev/null and b/bin/main/meka/gui/core/SearchPanel$LayoutType.class differ diff --git a/bin/main/meka/gui/core/SearchPanel.class b/bin/main/meka/gui/core/SearchPanel.class new file mode 100644 index 00000000..4e0d4267 Binary files /dev/null and b/bin/main/meka/gui/core/SearchPanel.class differ diff --git a/bin/main/meka/gui/core/SearchParameters.class b/bin/main/meka/gui/core/SearchParameters.class new file mode 100644 index 00000000..f8a5df50 Binary files /dev/null and b/bin/main/meka/gui/core/SearchParameters.class differ diff --git a/bin/main/meka/gui/core/SearchableTable.class b/bin/main/meka/gui/core/SearchableTable.class new file mode 100644 index 00000000..5dfe6ad9 Binary files /dev/null and b/bin/main/meka/gui/core/SearchableTable.class differ diff --git a/bin/main/meka/gui/core/SearchableTableModel.class b/bin/main/meka/gui/core/SearchableTableModel.class new file mode 100644 index 00000000..c9a5a4fd Binary files /dev/null and b/bin/main/meka/gui/core/SearchableTableModel.class differ diff --git a/bin/main/meka/gui/core/SortableAndSearchableTable.class b/bin/main/meka/gui/core/SortableAndSearchableTable.class new file mode 100644 index 00000000..88ecd70b Binary files /dev/null and b/bin/main/meka/gui/core/SortableAndSearchableTable.class differ diff --git a/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel$1.class b/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel$1.class new file mode 100644 index 00000000..cc3e99a3 Binary files /dev/null and b/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel$1.class differ diff --git a/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel$SortContainer.class b/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel$SortContainer.class new file mode 100644 index 00000000..e2509a39 Binary files /dev/null and b/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel$SortContainer.class differ diff --git a/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel.class b/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel.class new file mode 100644 index 00000000..fa0ba1f1 Binary files /dev/null and b/bin/main/meka/gui/core/SortableAndSearchableWrapperTableModel.class differ diff --git a/bin/main/meka/gui/core/SortableTable.class b/bin/main/meka/gui/core/SortableTable.class new file mode 100644 index 00000000..32d3263a Binary files /dev/null and b/bin/main/meka/gui/core/SortableTable.class differ diff --git a/bin/main/meka/gui/core/SortableTableModel.class b/bin/main/meka/gui/core/SortableTableModel.class new file mode 100644 index 00000000..aaf6fb1e Binary files /dev/null and b/bin/main/meka/gui/core/SortableTableModel.class differ diff --git a/bin/main/meka/gui/core/StatusBar$1.class b/bin/main/meka/gui/core/StatusBar$1.class new file mode 100644 index 00000000..6f1daabb Binary files /dev/null and b/bin/main/meka/gui/core/StatusBar$1.class differ diff --git a/bin/main/meka/gui/core/StatusBar$Animation$1.class b/bin/main/meka/gui/core/StatusBar$Animation$1.class new file mode 100644 index 00000000..e6eb742d Binary files /dev/null and b/bin/main/meka/gui/core/StatusBar$Animation$1.class differ diff --git a/bin/main/meka/gui/core/StatusBar$Animation.class b/bin/main/meka/gui/core/StatusBar$Animation.class new file mode 100644 index 00000000..677b098c Binary files /dev/null and b/bin/main/meka/gui/core/StatusBar$Animation.class differ diff --git a/bin/main/meka/gui/core/StatusBar.class b/bin/main/meka/gui/core/StatusBar.class new file mode 100644 index 00000000..fe748a2c Binary files /dev/null and b/bin/main/meka/gui/core/StatusBar.class differ diff --git a/bin/main/meka/gui/dataviewer/DataPanel.class b/bin/main/meka/gui/dataviewer/DataPanel.class new file mode 100644 index 00000000..eb7f261c Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataPanel.class differ diff --git a/bin/main/meka/gui/dataviewer/DataSortedTableModel.class b/bin/main/meka/gui/dataviewer/DataSortedTableModel.class new file mode 100644 index 00000000..d11eb126 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataSortedTableModel.class differ diff --git a/bin/main/meka/gui/dataviewer/DataTable$RelationalCellEditor$1.class b/bin/main/meka/gui/dataviewer/DataTable$RelationalCellEditor$1.class new file mode 100644 index 00000000..ddd6de3a Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataTable$RelationalCellEditor$1.class differ diff --git a/bin/main/meka/gui/dataviewer/DataTable$RelationalCellEditor.class b/bin/main/meka/gui/dataviewer/DataTable$RelationalCellEditor.class new file mode 100644 index 00000000..670677a9 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataTable$RelationalCellEditor.class differ diff --git a/bin/main/meka/gui/dataviewer/DataTable.class b/bin/main/meka/gui/dataviewer/DataTable.class new file mode 100644 index 00000000..2242056e Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataTable.class differ diff --git a/bin/main/meka/gui/dataviewer/DataTableCellRenderer.class b/bin/main/meka/gui/dataviewer/DataTableCellRenderer.class new file mode 100644 index 00000000..eb0bcae6 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataTableCellRenderer.class differ diff --git a/bin/main/meka/gui/dataviewer/DataTableModel.class b/bin/main/meka/gui/dataviewer/DataTableModel.class new file mode 100644 index 00000000..6c1fc2fd Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataTableModel.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewer$1.class b/bin/main/meka/gui/dataviewer/DataViewer$1.class new file mode 100644 index 00000000..25164de3 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewer$1.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewer.class b/bin/main/meka/gui/dataviewer/DataViewer.class new file mode 100644 index 00000000..7f1da6db Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewer.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerDialog$1.class b/bin/main/meka/gui/dataviewer/DataViewerDialog$1.class new file mode 100644 index 00000000..08f3523e Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerDialog$1.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerDialog$2.class b/bin/main/meka/gui/dataviewer/DataViewerDialog$2.class new file mode 100644 index 00000000..a960a88a Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerDialog$2.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerDialog$3.class b/bin/main/meka/gui/dataviewer/DataViewerDialog$3.class new file mode 100644 index 00000000..5813d3f2 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerDialog$3.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerDialog$4.class b/bin/main/meka/gui/dataviewer/DataViewerDialog$4.class new file mode 100644 index 00000000..d3928d83 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerDialog$4.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerDialog$5.class b/bin/main/meka/gui/dataviewer/DataViewerDialog$5.class new file mode 100644 index 00000000..ccf7e39e Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerDialog$5.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerDialog.class b/bin/main/meka/gui/dataviewer/DataViewerDialog.class new file mode 100644 index 00000000..65b1c35d Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerDialog.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerMainPanel$1.class b/bin/main/meka/gui/dataviewer/DataViewerMainPanel$1.class new file mode 100644 index 00000000..4625bca0 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerMainPanel$1.class differ diff --git a/bin/main/meka/gui/dataviewer/DataViewerMainPanel.class b/bin/main/meka/gui/dataviewer/DataViewerMainPanel.class new file mode 100644 index 00000000..650b9cb5 Binary files /dev/null and b/bin/main/meka/gui/dataviewer/DataViewerMainPanel.class differ diff --git a/bin/main/meka/gui/events/RecentItemEvent.class b/bin/main/meka/gui/events/RecentItemEvent.class new file mode 100644 index 00000000..fabe96f1 Binary files /dev/null and b/bin/main/meka/gui/events/RecentItemEvent.class differ diff --git a/bin/main/meka/gui/events/RecentItemListener.class b/bin/main/meka/gui/events/RecentItemListener.class new file mode 100644 index 00000000..eb3177a8 Binary files /dev/null and b/bin/main/meka/gui/events/RecentItemListener.class differ diff --git a/bin/main/meka/gui/events/SearchEvent.class b/bin/main/meka/gui/events/SearchEvent.class new file mode 100644 index 00000000..731a5b4a Binary files /dev/null and b/bin/main/meka/gui/events/SearchEvent.class differ diff --git a/bin/main/meka/gui/events/SearchListener.class b/bin/main/meka/gui/events/SearchListener.class new file mode 100644 index 00000000..4804eb14 Binary files /dev/null and b/bin/main/meka/gui/events/SearchListener.class differ diff --git a/bin/main/meka/gui/experimenter/AbstractExperimenterTab.class b/bin/main/meka/gui/experimenter/AbstractExperimenterTab.class new file mode 100644 index 00000000..544bb26b Binary files /dev/null and b/bin/main/meka/gui/experimenter/AbstractExperimenterTab.class differ diff --git a/bin/main/meka/gui/experimenter/AbstractSetupTab$1.class b/bin/main/meka/gui/experimenter/AbstractSetupTab$1.class new file mode 100644 index 00000000..47be0d07 Binary files /dev/null and b/bin/main/meka/gui/experimenter/AbstractSetupTab$1.class differ diff --git a/bin/main/meka/gui/experimenter/AbstractSetupTab$2.class b/bin/main/meka/gui/experimenter/AbstractSetupTab$2.class new file mode 100644 index 00000000..4f62e328 Binary files /dev/null and b/bin/main/meka/gui/experimenter/AbstractSetupTab$2.class differ diff --git a/bin/main/meka/gui/experimenter/AbstractSetupTab.class b/bin/main/meka/gui/experimenter/AbstractSetupTab.class new file mode 100644 index 00000000..6ca3ced5 Binary files /dev/null and b/bin/main/meka/gui/experimenter/AbstractSetupTab.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$1.class b/bin/main/meka/gui/experimenter/BasicSetup$1.class new file mode 100644 index 00000000..c804c9f0 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$1.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$10.class b/bin/main/meka/gui/experimenter/BasicSetup$10.class new file mode 100644 index 00000000..0c83801a Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$10.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$11.class b/bin/main/meka/gui/experimenter/BasicSetup$11.class new file mode 100644 index 00000000..0b9027fc Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$11.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$12.class b/bin/main/meka/gui/experimenter/BasicSetup$12.class new file mode 100644 index 00000000..59f30999 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$12.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$13.class b/bin/main/meka/gui/experimenter/BasicSetup$13.class new file mode 100644 index 00000000..65309904 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$13.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$14.class b/bin/main/meka/gui/experimenter/BasicSetup$14.class new file mode 100644 index 00000000..3aac84b6 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$14.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$15.class b/bin/main/meka/gui/experimenter/BasicSetup$15.class new file mode 100644 index 00000000..be12e514 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$15.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$16.class b/bin/main/meka/gui/experimenter/BasicSetup$16.class new file mode 100644 index 00000000..967e32a8 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$16.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$17.class b/bin/main/meka/gui/experimenter/BasicSetup$17.class new file mode 100644 index 00000000..dd048855 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$17.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$18.class b/bin/main/meka/gui/experimenter/BasicSetup$18.class new file mode 100644 index 00000000..f0eaab58 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$18.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$19.class b/bin/main/meka/gui/experimenter/BasicSetup$19.class new file mode 100644 index 00000000..ca61d026 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$19.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$2.class b/bin/main/meka/gui/experimenter/BasicSetup$2.class new file mode 100644 index 00000000..eef7a383 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$2.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$20.class b/bin/main/meka/gui/experimenter/BasicSetup$20.class new file mode 100644 index 00000000..efeed0c6 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$20.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$3.class b/bin/main/meka/gui/experimenter/BasicSetup$3.class new file mode 100644 index 00000000..3baa338e Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$3.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$4.class b/bin/main/meka/gui/experimenter/BasicSetup$4.class new file mode 100644 index 00000000..248e0312 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$4.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$5.class b/bin/main/meka/gui/experimenter/BasicSetup$5.class new file mode 100644 index 00000000..79141205 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$5.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$6.class b/bin/main/meka/gui/experimenter/BasicSetup$6.class new file mode 100644 index 00000000..ad8d892e Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$6.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$7.class b/bin/main/meka/gui/experimenter/BasicSetup$7.class new file mode 100644 index 00000000..29504338 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$7.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$8.class b/bin/main/meka/gui/experimenter/BasicSetup$8.class new file mode 100644 index 00000000..23e153f5 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$8.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup$9.class b/bin/main/meka/gui/experimenter/BasicSetup$9.class new file mode 100644 index 00000000..b923ccc6 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup$9.class differ diff --git a/bin/main/meka/gui/experimenter/BasicSetup.class b/bin/main/meka/gui/experimenter/BasicSetup.class new file mode 100644 index 00000000..3b9d3be8 Binary files /dev/null and b/bin/main/meka/gui/experimenter/BasicSetup.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$1.class b/bin/main/meka/gui/experimenter/Experimenter$1.class new file mode 100644 index 00000000..580ebdb0 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$1.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$10.class b/bin/main/meka/gui/experimenter/Experimenter$10.class new file mode 100644 index 00000000..e60838f1 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$10.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$11.class b/bin/main/meka/gui/experimenter/Experimenter$11.class new file mode 100644 index 00000000..ade99825 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$11.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$12.class b/bin/main/meka/gui/experimenter/Experimenter$12.class new file mode 100644 index 00000000..4124780d Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$12.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$2.class b/bin/main/meka/gui/experimenter/Experimenter$2.class new file mode 100644 index 00000000..f627a2fe Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$2.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$3.class b/bin/main/meka/gui/experimenter/Experimenter$3.class new file mode 100644 index 00000000..435b6d1c Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$3.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$4.class b/bin/main/meka/gui/experimenter/Experimenter$4.class new file mode 100644 index 00000000..6b3af327 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$4.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$5.class b/bin/main/meka/gui/experimenter/Experimenter$5.class new file mode 100644 index 00000000..32356878 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$5.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$6.class b/bin/main/meka/gui/experimenter/Experimenter$6.class new file mode 100644 index 00000000..9e7fe3e2 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$6.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$7.class b/bin/main/meka/gui/experimenter/Experimenter$7.class new file mode 100644 index 00000000..5e21019d Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$7.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$8.class b/bin/main/meka/gui/experimenter/Experimenter$8.class new file mode 100644 index 00000000..81122abd Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$8.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter$9.class b/bin/main/meka/gui/experimenter/Experimenter$9.class new file mode 100644 index 00000000..e39fbd24 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter$9.class differ diff --git a/bin/main/meka/gui/experimenter/Experimenter.class b/bin/main/meka/gui/experimenter/Experimenter.class new file mode 100644 index 00000000..98b971fc Binary files /dev/null and b/bin/main/meka/gui/experimenter/Experimenter.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$1.class b/bin/main/meka/gui/experimenter/ExpertSetup$1.class new file mode 100644 index 00000000..e88fe1b2 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$1.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$10.class b/bin/main/meka/gui/experimenter/ExpertSetup$10.class new file mode 100644 index 00000000..76b48ff2 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$10.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$11.class b/bin/main/meka/gui/experimenter/ExpertSetup$11.class new file mode 100644 index 00000000..5de89744 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$11.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$2.class b/bin/main/meka/gui/experimenter/ExpertSetup$2.class new file mode 100644 index 00000000..f5acc5c6 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$2.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$3.class b/bin/main/meka/gui/experimenter/ExpertSetup$3.class new file mode 100644 index 00000000..b538c083 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$3.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$4.class b/bin/main/meka/gui/experimenter/ExpertSetup$4.class new file mode 100644 index 00000000..8195f22b Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$4.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$5.class b/bin/main/meka/gui/experimenter/ExpertSetup$5.class new file mode 100644 index 00000000..9bcb3e2c Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$5.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$6.class b/bin/main/meka/gui/experimenter/ExpertSetup$6.class new file mode 100644 index 00000000..eae7020a Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$6.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$7.class b/bin/main/meka/gui/experimenter/ExpertSetup$7.class new file mode 100644 index 00000000..516b6b98 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$7.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$8.class b/bin/main/meka/gui/experimenter/ExpertSetup$8.class new file mode 100644 index 00000000..db56e07c Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$8.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup$9.class b/bin/main/meka/gui/experimenter/ExpertSetup$9.class new file mode 100644 index 00000000..3f7fa97d Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup$9.class differ diff --git a/bin/main/meka/gui/experimenter/ExpertSetup.class b/bin/main/meka/gui/experimenter/ExpertSetup.class new file mode 100644 index 00000000..c1b2c866 Binary files /dev/null and b/bin/main/meka/gui/experimenter/ExpertSetup.class differ diff --git a/bin/main/meka/gui/experimenter/LogTab$1.class b/bin/main/meka/gui/experimenter/LogTab$1.class new file mode 100644 index 00000000..41db82b9 Binary files /dev/null and b/bin/main/meka/gui/experimenter/LogTab$1.class differ diff --git a/bin/main/meka/gui/experimenter/LogTab$2.class b/bin/main/meka/gui/experimenter/LogTab$2.class new file mode 100644 index 00000000..3a0bac74 Binary files /dev/null and b/bin/main/meka/gui/experimenter/LogTab$2.class differ diff --git a/bin/main/meka/gui/experimenter/LogTab.class b/bin/main/meka/gui/experimenter/LogTab.class new file mode 100644 index 00000000..52d6b308 Binary files /dev/null and b/bin/main/meka/gui/experimenter/LogTab.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$1.class b/bin/main/meka/gui/experimenter/Statistics$1.class new file mode 100644 index 00000000..143c3a90 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$1.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$10.class b/bin/main/meka/gui/experimenter/Statistics$10.class new file mode 100644 index 00000000..c149209d Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$10.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$11.class b/bin/main/meka/gui/experimenter/Statistics$11.class new file mode 100644 index 00000000..a0727f79 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$11.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$12.class b/bin/main/meka/gui/experimenter/Statistics$12.class new file mode 100644 index 00000000..f17456ae Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$12.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$13.class b/bin/main/meka/gui/experimenter/Statistics$13.class new file mode 100644 index 00000000..dde0d335 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$13.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$14.class b/bin/main/meka/gui/experimenter/Statistics$14.class new file mode 100644 index 00000000..efad6a53 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$14.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$15.class b/bin/main/meka/gui/experimenter/Statistics$15.class new file mode 100644 index 00000000..a4de90f2 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$15.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$16.class b/bin/main/meka/gui/experimenter/Statistics$16.class new file mode 100644 index 00000000..3e46c415 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$16.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$17.class b/bin/main/meka/gui/experimenter/Statistics$17.class new file mode 100644 index 00000000..48a637fd Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$17.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$18.class b/bin/main/meka/gui/experimenter/Statistics$18.class new file mode 100644 index 00000000..035046c6 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$18.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$19.class b/bin/main/meka/gui/experimenter/Statistics$19.class new file mode 100644 index 00000000..35e8f8ca Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$19.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$2.class b/bin/main/meka/gui/experimenter/Statistics$2.class new file mode 100644 index 00000000..e2cb8bcf Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$2.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$3.class b/bin/main/meka/gui/experimenter/Statistics$3.class new file mode 100644 index 00000000..45096bb4 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$3.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$4.class b/bin/main/meka/gui/experimenter/Statistics$4.class new file mode 100644 index 00000000..63f8baf4 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$4.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$5.class b/bin/main/meka/gui/experimenter/Statistics$5.class new file mode 100644 index 00000000..15bb4159 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$5.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$6.class b/bin/main/meka/gui/experimenter/Statistics$6.class new file mode 100644 index 00000000..5192767c Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$6.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$7.class b/bin/main/meka/gui/experimenter/Statistics$7.class new file mode 100644 index 00000000..6a45b43c Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$7.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$8.class b/bin/main/meka/gui/experimenter/Statistics$8.class new file mode 100644 index 00000000..001a40eb Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$8.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics$9.class b/bin/main/meka/gui/experimenter/Statistics$9.class new file mode 100644 index 00000000..d6b93ae7 Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics$9.class differ diff --git a/bin/main/meka/gui/experimenter/Statistics.class b/bin/main/meka/gui/experimenter/Statistics.class new file mode 100644 index 00000000..40e8e04d Binary files /dev/null and b/bin/main/meka/gui/experimenter/Statistics.class differ diff --git a/bin/main/meka/gui/experimenter/menu/AbstractExperimenterMenuItem$1.class b/bin/main/meka/gui/experimenter/menu/AbstractExperimenterMenuItem$1.class new file mode 100644 index 00000000..2de60956 Binary files /dev/null and b/bin/main/meka/gui/experimenter/menu/AbstractExperimenterMenuItem$1.class differ diff --git a/bin/main/meka/gui/experimenter/menu/AbstractExperimenterMenuItem.class b/bin/main/meka/gui/experimenter/menu/AbstractExperimenterMenuItem.class new file mode 100644 index 00000000..02b6e384 Binary files /dev/null and b/bin/main/meka/gui/experimenter/menu/AbstractExperimenterMenuItem.class differ diff --git a/bin/main/meka/gui/experimenter/menu/CombineStatisticsFiles$1.class b/bin/main/meka/gui/experimenter/menu/CombineStatisticsFiles$1.class new file mode 100644 index 00000000..134451e4 Binary files /dev/null and b/bin/main/meka/gui/experimenter/menu/CombineStatisticsFiles$1.class differ diff --git a/bin/main/meka/gui/experimenter/menu/CombineStatisticsFiles.class b/bin/main/meka/gui/experimenter/menu/CombineStatisticsFiles.class new file mode 100644 index 00000000..3f65db5b Binary files /dev/null and b/bin/main/meka/gui/experimenter/menu/CombineStatisticsFiles.class differ diff --git a/bin/main/meka/gui/explorer/AbstractExplorerTab.class b/bin/main/meka/gui/explorer/AbstractExplorerTab.class new file mode 100644 index 00000000..0f8c07cb Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractExplorerTab.class differ diff --git a/bin/main/meka/gui/explorer/AbstractResultHistoryPlugin.class b/bin/main/meka/gui/explorer/AbstractResultHistoryPlugin.class new file mode 100644 index 00000000..a3ffb9d1 Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractResultHistoryPlugin.class differ diff --git a/bin/main/meka/gui/explorer/AbstractTabMenuItem.class b/bin/main/meka/gui/explorer/AbstractTabMenuItem.class new file mode 100644 index 00000000..166df865 Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractTabMenuItem.class differ diff --git a/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$1.class b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$1.class new file mode 100644 index 00000000..4b809cdb Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$1.class differ diff --git a/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$2.class b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$2.class new file mode 100644 index 00000000..9d62136c Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$2.class differ diff --git a/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$3.class b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$3.class new file mode 100644 index 00000000..8113371a Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread$3.class differ diff --git a/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread.class b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread.class new file mode 100644 index 00000000..2e116fba Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab$WorkerThread.class differ diff --git a/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab.class b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab.class new file mode 100644 index 00000000..2a28fdea Binary files /dev/null and b/bin/main/meka/gui/explorer/AbstractThreadedExplorerTab.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$1.class b/bin/main/meka/gui/explorer/ClassifyTab$1.class new file mode 100644 index 00000000..e1bb443d Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$1.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$10.class b/bin/main/meka/gui/explorer/ClassifyTab$10.class new file mode 100644 index 00000000..408e9fd4 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$10.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$11.class b/bin/main/meka/gui/explorer/ClassifyTab$11.class new file mode 100644 index 00000000..2badb4f9 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$11.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$12.class b/bin/main/meka/gui/explorer/ClassifyTab$12.class new file mode 100644 index 00000000..692e077b Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$12.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$13.class b/bin/main/meka/gui/explorer/ClassifyTab$13.class new file mode 100644 index 00000000..d4703242 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$13.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$14.class b/bin/main/meka/gui/explorer/ClassifyTab$14.class new file mode 100644 index 00000000..0112a6dd Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$14.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$2.class b/bin/main/meka/gui/explorer/ClassifyTab$2.class new file mode 100644 index 00000000..23ceab1e Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$2.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$3.class b/bin/main/meka/gui/explorer/ClassifyTab$3.class new file mode 100644 index 00000000..13ebfe20 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$3.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$4.class b/bin/main/meka/gui/explorer/ClassifyTab$4.class new file mode 100644 index 00000000..50a61328 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$4.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$5.class b/bin/main/meka/gui/explorer/ClassifyTab$5.class new file mode 100644 index 00000000..9cee3e29 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$5.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$6.class b/bin/main/meka/gui/explorer/ClassifyTab$6.class new file mode 100644 index 00000000..0dc2ead8 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$6.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$7.class b/bin/main/meka/gui/explorer/ClassifyTab$7.class new file mode 100644 index 00000000..c02b6ab9 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$7.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$8.class b/bin/main/meka/gui/explorer/ClassifyTab$8.class new file mode 100644 index 00000000..59057935 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$8.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$9.class b/bin/main/meka/gui/explorer/ClassifyTab$9.class new file mode 100644 index 00000000..ea70daa3 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$9.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab$HistoryCustomizer.class b/bin/main/meka/gui/explorer/ClassifyTab$HistoryCustomizer.class new file mode 100644 index 00000000..87b111a0 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab$HistoryCustomizer.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTab.class b/bin/main/meka/gui/explorer/ClassifyTab.class new file mode 100644 index 00000000..313d3098 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTab.class differ diff --git a/bin/main/meka/gui/explorer/ClassifyTabOptions.class b/bin/main/meka/gui/explorer/ClassifyTabOptions.class new file mode 100644 index 00000000..2dfb7f23 Binary files /dev/null and b/bin/main/meka/gui/explorer/ClassifyTabOptions.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$1.class b/bin/main/meka/gui/explorer/Explorer$1.class new file mode 100644 index 00000000..e5abde94 Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$1.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$10.class b/bin/main/meka/gui/explorer/Explorer$10.class new file mode 100644 index 00000000..f67aa2fb Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$10.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$2.class b/bin/main/meka/gui/explorer/Explorer$2.class new file mode 100644 index 00000000..31301e2b Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$2.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$3.class b/bin/main/meka/gui/explorer/Explorer$3.class new file mode 100644 index 00000000..911f4610 Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$3.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$4.class b/bin/main/meka/gui/explorer/Explorer$4.class new file mode 100644 index 00000000..cde5dcea Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$4.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$5.class b/bin/main/meka/gui/explorer/Explorer$5.class new file mode 100644 index 00000000..6cb2a273 Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$5.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$6.class b/bin/main/meka/gui/explorer/Explorer$6.class new file mode 100644 index 00000000..7b4c31b8 Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$6.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$7.class b/bin/main/meka/gui/explorer/Explorer$7.class new file mode 100644 index 00000000..71b34cb8 Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$7.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$8.class b/bin/main/meka/gui/explorer/Explorer$8.class new file mode 100644 index 00000000..8e68398e Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$8.class differ diff --git a/bin/main/meka/gui/explorer/Explorer$9.class b/bin/main/meka/gui/explorer/Explorer$9.class new file mode 100644 index 00000000..d2486c6d Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer$9.class differ diff --git a/bin/main/meka/gui/explorer/Explorer.class b/bin/main/meka/gui/explorer/Explorer.class new file mode 100644 index 00000000..cca77f1a Binary files /dev/null and b/bin/main/meka/gui/explorer/Explorer.class differ diff --git a/bin/main/meka/gui/explorer/LogTab$1.class b/bin/main/meka/gui/explorer/LogTab$1.class new file mode 100644 index 00000000..fea00a7c Binary files /dev/null and b/bin/main/meka/gui/explorer/LogTab$1.class differ diff --git a/bin/main/meka/gui/explorer/LogTab$2.class b/bin/main/meka/gui/explorer/LogTab$2.class new file mode 100644 index 00000000..8f50a5e7 Binary files /dev/null and b/bin/main/meka/gui/explorer/LogTab$2.class differ diff --git a/bin/main/meka/gui/explorer/LogTab.class b/bin/main/meka/gui/explorer/LogTab.class new file mode 100644 index 00000000..f071ba93 Binary files /dev/null and b/bin/main/meka/gui/explorer/LogTab.class differ diff --git a/bin/main/meka/gui/explorer/PreprocessTab$1.class b/bin/main/meka/gui/explorer/PreprocessTab$1.class new file mode 100644 index 00000000..ee853f3c Binary files /dev/null and b/bin/main/meka/gui/explorer/PreprocessTab$1.class differ diff --git a/bin/main/meka/gui/explorer/PreprocessTab$2.class b/bin/main/meka/gui/explorer/PreprocessTab$2.class new file mode 100644 index 00000000..dab390a9 Binary files /dev/null and b/bin/main/meka/gui/explorer/PreprocessTab$2.class differ diff --git a/bin/main/meka/gui/explorer/PreprocessTab$3.class b/bin/main/meka/gui/explorer/PreprocessTab$3.class new file mode 100644 index 00000000..8374b7f7 Binary files /dev/null and b/bin/main/meka/gui/explorer/PreprocessTab$3.class differ diff --git a/bin/main/meka/gui/explorer/PreprocessTab$4.class b/bin/main/meka/gui/explorer/PreprocessTab$4.class new file mode 100644 index 00000000..7db7a8b7 Binary files /dev/null and b/bin/main/meka/gui/explorer/PreprocessTab$4.class differ diff --git a/bin/main/meka/gui/explorer/PreprocessTab$5.class b/bin/main/meka/gui/explorer/PreprocessTab$5.class new file mode 100644 index 00000000..9455ba35 Binary files /dev/null and b/bin/main/meka/gui/explorer/PreprocessTab$5.class differ diff --git a/bin/main/meka/gui/explorer/PreprocessTab.class b/bin/main/meka/gui/explorer/PreprocessTab.class new file mode 100644 index 00000000..feee378c Binary files /dev/null and b/bin/main/meka/gui/explorer/PreprocessTab.class differ diff --git a/bin/main/meka/gui/explorer/VisualizeTab.class b/bin/main/meka/gui/explorer/VisualizeTab.class new file mode 100644 index 00000000..e6fb4b84 Binary files /dev/null and b/bin/main/meka/gui/explorer/VisualizeTab.class differ diff --git a/bin/main/meka/gui/explorer/classify/AbstractClassifyResultHistoryPlugin.class b/bin/main/meka/gui/explorer/classify/AbstractClassifyResultHistoryPlugin.class new file mode 100644 index 00000000..81449e94 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/AbstractClassifyResultHistoryPlugin.class differ diff --git a/bin/main/meka/gui/explorer/classify/AbstractClassifyTabMenuItem.class b/bin/main/meka/gui/explorer/classify/AbstractClassifyTabMenuItem.class new file mode 100644 index 00000000..47756af0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/AbstractClassifyTabMenuItem.class differ diff --git a/bin/main/meka/gui/explorer/classify/AbstractShowThresholdCurve$1.class b/bin/main/meka/gui/explorer/classify/AbstractShowThresholdCurve$1.class new file mode 100644 index 00000000..77537597 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/AbstractShowThresholdCurve$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/AbstractShowThresholdCurve.class b/bin/main/meka/gui/explorer/classify/AbstractShowThresholdCurve.class new file mode 100644 index 00000000..339d5063 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/AbstractShowThresholdCurve.class differ diff --git a/bin/main/meka/gui/explorer/classify/CopyModelSetup$1.class b/bin/main/meka/gui/explorer/classify/CopyModelSetup$1.class new file mode 100644 index 00000000..e5248ca0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/CopyModelSetup$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/CopyModelSetup.class b/bin/main/meka/gui/explorer/classify/CopyModelSetup.class new file mode 100644 index 00000000..db8acc29 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/CopyModelSetup.class differ diff --git a/bin/main/meka/gui/explorer/classify/EditTestData$1.class b/bin/main/meka/gui/explorer/classify/EditTestData$1.class new file mode 100644 index 00000000..db03fa18 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/EditTestData$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/EditTestData.class b/bin/main/meka/gui/explorer/classify/EditTestData.class new file mode 100644 index 00000000..ebe3933f Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/EditTestData.class differ diff --git a/bin/main/meka/gui/explorer/classify/IncrementalPerformance$1.class b/bin/main/meka/gui/explorer/classify/IncrementalPerformance$1.class new file mode 100644 index 00000000..abcdc09f Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/IncrementalPerformance$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/IncrementalPerformance.class b/bin/main/meka/gui/explorer/classify/IncrementalPerformance.class new file mode 100644 index 00000000..37670bf0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/IncrementalPerformance.class differ diff --git a/bin/main/meka/gui/explorer/classify/OpenModel$1.class b/bin/main/meka/gui/explorer/classify/OpenModel$1.class new file mode 100644 index 00000000..0d9a1fc0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/OpenModel$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/OpenModel.class b/bin/main/meka/gui/explorer/classify/OpenModel.class new file mode 100644 index 00000000..455b08ba Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/OpenModel.class differ diff --git a/bin/main/meka/gui/explorer/classify/OpenTestData$1.class b/bin/main/meka/gui/explorer/classify/OpenTestData$1.class new file mode 100644 index 00000000..b9978393 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/OpenTestData$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/OpenTestData.class b/bin/main/meka/gui/explorer/classify/OpenTestData.class new file mode 100644 index 00000000..97139fca Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/OpenTestData.class differ diff --git a/bin/main/meka/gui/explorer/classify/PredictionsOnTestset$1$1.class b/bin/main/meka/gui/explorer/classify/PredictionsOnTestset$1$1.class new file mode 100644 index 00000000..dfc6ad7f Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/PredictionsOnTestset$1$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/PredictionsOnTestset$1.class b/bin/main/meka/gui/explorer/classify/PredictionsOnTestset$1.class new file mode 100644 index 00000000..2bc1f001 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/PredictionsOnTestset$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/PredictionsOnTestset.class b/bin/main/meka/gui/explorer/classify/PredictionsOnTestset.class new file mode 100644 index 00000000..4e7fe8eb Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/PredictionsOnTestset.class differ diff --git a/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset$1$1.class b/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset$1$1.class new file mode 100644 index 00000000..cb167fe0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset$1$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset$1.class b/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset$1.class new file mode 100644 index 00000000..2fff6ae0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset.class b/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset.class new file mode 100644 index 00000000..9c8dd1ec Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ReevaluateModelOnTestset.class differ diff --git a/bin/main/meka/gui/explorer/classify/SaveCSV$1.class b/bin/main/meka/gui/explorer/classify/SaveCSV$1.class new file mode 100644 index 00000000..45980cd7 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SaveCSV$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/SaveCSV.class b/bin/main/meka/gui/explorer/classify/SaveCSV.class new file mode 100644 index 00000000..a097d6b4 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SaveCSV.class differ diff --git a/bin/main/meka/gui/explorer/classify/SaveGraphs$1.class b/bin/main/meka/gui/explorer/classify/SaveGraphs$1.class new file mode 100644 index 00000000..7ded27d5 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SaveGraphs$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/SaveGraphs.class b/bin/main/meka/gui/explorer/classify/SaveGraphs.class new file mode 100644 index 00000000..a8fd65a8 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SaveGraphs.class differ diff --git a/bin/main/meka/gui/explorer/classify/SaveModel$1.class b/bin/main/meka/gui/explorer/classify/SaveModel$1.class new file mode 100644 index 00000000..447a7be7 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SaveModel$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/SaveModel.class b/bin/main/meka/gui/explorer/classify/SaveModel.class new file mode 100644 index 00000000..ad0d5903 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SaveModel.class differ diff --git a/bin/main/meka/gui/explorer/classify/SavePredictions$1.class b/bin/main/meka/gui/explorer/classify/SavePredictions$1.class new file mode 100644 index 00000000..4f271451 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SavePredictions$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/SavePredictions.class b/bin/main/meka/gui/explorer/classify/SavePredictions.class new file mode 100644 index 00000000..af6bb789 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/SavePredictions.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowGraphs$1.class b/bin/main/meka/gui/explorer/classify/ShowGraphs$1.class new file mode 100644 index 00000000..3a739362 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowGraphs$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowGraphs.class b/bin/main/meka/gui/explorer/classify/ShowGraphs.class new file mode 100644 index 00000000..842a5a68 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowGraphs.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowMacroCurve$1.class b/bin/main/meka/gui/explorer/classify/ShowMacroCurve$1.class new file mode 100644 index 00000000..87acb3b6 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowMacroCurve$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowMacroCurve.class b/bin/main/meka/gui/explorer/classify/ShowMacroCurve.class new file mode 100644 index 00000000..990c1d37 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowMacroCurve.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowMicroCurve$1.class b/bin/main/meka/gui/explorer/classify/ShowMicroCurve$1.class new file mode 100644 index 00000000..38dcba44 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowMicroCurve$1.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowMicroCurve.class b/bin/main/meka/gui/explorer/classify/ShowMicroCurve.class new file mode 100644 index 00000000..25016f32 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowMicroCurve.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowPrecisionRecall.class b/bin/main/meka/gui/explorer/classify/ShowPrecisionRecall.class new file mode 100644 index 00000000..fef329c4 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowPrecisionRecall.class differ diff --git a/bin/main/meka/gui/explorer/classify/ShowROC.class b/bin/main/meka/gui/explorer/classify/ShowROC.class new file mode 100644 index 00000000..042190a0 Binary files /dev/null and b/bin/main/meka/gui/explorer/classify/ShowROC.class differ diff --git a/bin/main/meka/gui/goe/GenericObjectEditor$1.class b/bin/main/meka/gui/goe/GenericObjectEditor$1.class new file mode 100644 index 00000000..e5a5c4d9 Binary files /dev/null and b/bin/main/meka/gui/goe/GenericObjectEditor$1.class differ diff --git a/bin/main/meka/gui/goe/GenericObjectEditor.class b/bin/main/meka/gui/goe/GenericObjectEditor.class new file mode 100644 index 00000000..0b99e2b9 Binary files /dev/null and b/bin/main/meka/gui/goe/GenericObjectEditor.class differ diff --git a/bin/main/meka/gui/goe/GenericObjectEditorDialog$1.class b/bin/main/meka/gui/goe/GenericObjectEditorDialog$1.class new file mode 100644 index 00000000..253ad91d Binary files /dev/null and b/bin/main/meka/gui/goe/GenericObjectEditorDialog$1.class differ diff --git a/bin/main/meka/gui/goe/GenericObjectEditorDialog.class b/bin/main/meka/gui/goe/GenericObjectEditorDialog.class new file mode 100644 index 00000000..8765e67d Binary files /dev/null and b/bin/main/meka/gui/goe/GenericObjectEditorDialog.class differ diff --git a/bin/main/meka/gui/goe/GenericPropertiesCreator.class b/bin/main/meka/gui/goe/GenericPropertiesCreator.class new file mode 100644 index 00000000..21856834 Binary files /dev/null and b/bin/main/meka/gui/goe/GenericPropertiesCreator.class differ diff --git a/bin/main/meka/gui/goe/MekaEditors.props b/bin/main/meka/gui/goe/MekaEditors.props new file mode 100644 index 00000000..dd07578f --- /dev/null +++ b/bin/main/meka/gui/goe/MekaEditors.props @@ -0,0 +1,27 @@ +# Mappings for classes to be handled in the GenericObjectEditor +# +# Format: +# = +# +# Notes: +# - array classes have to be suffixed with "[]" +# - full classname has to be provided +# +# author: FracPete (fracpete at waikato dot ac dot nz) +# version: $Revision$ + +# classifiers +meka.classifiers.multilabel.MultiLabelClassifier=meka.gui.goe.GenericObjectEditor +meka.classifiers.multilabel.MultiLabelClassifier[]=weka.gui.GenericArrayEditor +meka.classifiers.multilabel.SemisupervisedClassifier=meka.gui.goe.GenericObjectEditor +meka.classifiers.multilabel.SemisupervisedClassifier[]=weka.gui.GenericArrayEditor +meka.classifiers.multitarget.MultiTargetClassifier=meka.gui.goe.GenericObjectEditor +meka.classifiers.multitarget.MultiTargetClassifier[]=weka.gui.GenericArrayEditor +meka.experiment.datasetproviders.DatasetProvider=meka.gui.goe.GenericObjectEditor +meka.experiment.datasetproviders.DatasetProvider[]=weka.gui.GenericArrayEditor +meka.experiment.evaluationstatistics.EvaluationStatisticsHandler=meka.gui.goe.GenericObjectEditor +meka.experiment.evaluationstatistics.EvaluationStatisticsHandler[]=weka.gui.GenericArrayEditor +meka.experiment.evaluators.Evaluator=meka.gui.goe.GenericObjectEditor +meka.experiment.evaluators.Evaluator[]=weka.gui.GenericArrayEditor +meka.experiment.statisticsexporters.EvaluationStatisticsExporter=meka.gui.goe.GenericObjectEditor +meka.experiment.statisticsexporters.EvaluationStatisticsExporter[]=weka.gui.GenericArrayEditor diff --git a/bin/main/meka/gui/goe/MekaPropertiesCreator.props b/bin/main/meka/gui/goe/MekaPropertiesCreator.props new file mode 100644 index 00000000..ada1f225 --- /dev/null +++ b/bin/main/meka/gui/goe/MekaPropertiesCreator.props @@ -0,0 +1,115 @@ +# Customises the list of options given by the GenericObjectEditor +# for various superclasses. +# +# Version: $Revision$ + +# Packages with MultiLabelClassifier implementations +meka.classifiers.multilabel.MultiLabelClassifier=\ + meka.classifiers.multilabel,\ + meka.classifiers.multilabel.meta,\ + meka.classifiers.multitarget,\ + meka.classifiers.multitarget.meta,\ + meka.classifiers.multilabel.incremental,\ + meka.classifiers.multilabel.incremental.meta + +# Packages with MultiTargetClassifier implementations +meka.classifiers.multitarget.MultiTargetClassifier=\ + meka.classifiers.multitarget,\ + meka.classifiers.multitarget.meta + +# Packages with SemisupervisedClassifier implementations +meka.classifiers.multilabel.SemisupervisedClassifier=\ + meka.classifiers.multilabel,\ + meka.classifiers.multilabel.meta + +# Packages with incremenal MultiLabelClassifier implementations +meka.classifiers.multilabel.IncrementalMultiLabelClassifier=\ + meka.classifiers.multilabel.incremental,\ + meka.classifiers.multilabel.incremental.meta + +# Lists the Classifier-Packages that should be added to WEKA's +# GenericObjectEditor +weka.classifiers.Classifier=\ + meka.classifiers.multilabel,\ + meka.classifiers.multilabel.meta,\ + meka.classifiers.multilabel.incremental,\ + meka.classifiers.multilabel.incremental.meta,\ + meka.classifiers.multitarget,\ + meka.classifiers.multitarget.meta + +# Lists the Filters-Packages I want to choose from +weka.filters.Filter= \ + meka.filters.multilabel, \ + meka.filters.supervised.attribute, \ + meka.filters.supervised.instance, \ + meka.filters.unsupervised.attribute, \ + meka.filters.unsupervised.instance + +# Lists the UnsupervisedFilters-Packages I want to choose from +weka.filters.UnsupervisedFilter = \ + meka.filters.unsupervised.attribute, \ + meka.filters.unsupervised.instance + +# The Explorer tabs +meka.gui.explorer.AbstractExplorerTab=\ + meka.gui.explorer + +# Explorer plugins for the Classify result history +meka.gui.explorer.classify.AbstractClassifyResultHistoryPlugin=\ + meka.gui.explorer.classify + +# Explorer plugins for the Classify tab's custom menu +meka.gui.explorer.classify.AbstractClassifyTabMenuItem=\ + meka.gui.explorer.classify + +# the menu items of the GUIChooser +meka.gui.guichooser.AbstractMenuItemDefinition=\ + meka.gui.guichooser + +# the renderers of the model viewer +meka.gui.modelviewer.renderers.AbstractObjectRenderer=\ + meka.gui.modelviewer.renderers + +# the types of experiment +meka.experiment.Experiment=\ + meka.experiment + +# the dataset providers +meka.experiment.datasetproviders.DatasetProvider=\ + meka.experiment.datasetproviders + +# the evaluators +meka.experiment.evaluators.Evaluator=\ + meka.experiment.evaluators + +# the evaluation statistics handlers +meka.experiment.evaluationstatistics.EvaluationStatisticsHandler=\ + meka.experiment.evaluationstatistics + +# the file-based evaluation statistics handlers +meka.experiment.evaluationstatistics.FileBasedEvaluationStatisticsHandler=\ + meka.experiment.evaluationstatistics + +# the experiment file handlers +meka.experiment.filehandlers.ExperimentFileHandler=\ + meka.experiment.filehandlers + +# the statistics exporters +meka.experiment.statisticsexporters.EvaluationStatisticsExporter=\ + meka.experiment.statisticsexporters + +# the file-based statistics exporters +meka.experiment.statisticsexporters.FileBasedEvaluationStatisticsExporter=\ + meka.experiment.statisticsexporters + +# the file-based statistics exporters for a single measurement +meka.experiment.statisticsexporters.FileBasedMeasurementEvaluationStatisticsExporter=\ + meka.experiment.statisticsexporters + +# The Experimenter tabs +meka.gui.experimenter.AbstractExperimenterTab=\ + meka.gui.experimenter + +# The additional Experimenter menu items +meka.gui.experimenter.menu.AbstractExperimenterMenuItem=\ + meka.gui.experimenter.menu diff --git a/bin/main/meka/gui/goe/PropertyText$1.class b/bin/main/meka/gui/goe/PropertyText$1.class new file mode 100644 index 00000000..9bdb4365 Binary files /dev/null and b/bin/main/meka/gui/goe/PropertyText$1.class differ diff --git a/bin/main/meka/gui/goe/PropertyText$2.class b/bin/main/meka/gui/goe/PropertyText$2.class new file mode 100644 index 00000000..31567c62 Binary files /dev/null and b/bin/main/meka/gui/goe/PropertyText$2.class differ diff --git a/bin/main/meka/gui/goe/PropertyText.class b/bin/main/meka/gui/goe/PropertyText.class new file mode 100644 index 00000000..21622323 Binary files /dev/null and b/bin/main/meka/gui/goe/PropertyText.class differ diff --git a/bin/main/meka/gui/goe/PropertyValueSelector$1.class b/bin/main/meka/gui/goe/PropertyValueSelector$1.class new file mode 100644 index 00000000..02347b56 Binary files /dev/null and b/bin/main/meka/gui/goe/PropertyValueSelector$1.class differ diff --git a/bin/main/meka/gui/goe/PropertyValueSelector.class b/bin/main/meka/gui/goe/PropertyValueSelector.class new file mode 100644 index 00000000..3293975e Binary files /dev/null and b/bin/main/meka/gui/goe/PropertyValueSelector.class differ diff --git a/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition$1.class b/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition$1.class new file mode 100644 index 00000000..cf36341d Binary files /dev/null and b/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition$1.class differ diff --git a/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition$2.class b/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition$2.class new file mode 100644 index 00000000..16b040e8 Binary files /dev/null and b/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition$2.class differ diff --git a/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition.class b/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition.class new file mode 100644 index 00000000..149654e6 Binary files /dev/null and b/bin/main/meka/gui/guichooser/AbstractMenuItemDefinition.class differ diff --git a/bin/main/meka/gui/guichooser/DataViewerDefinition.class b/bin/main/meka/gui/guichooser/DataViewerDefinition.class new file mode 100644 index 00000000..ad00eec3 Binary files /dev/null and b/bin/main/meka/gui/guichooser/DataViewerDefinition.class differ diff --git a/bin/main/meka/gui/guichooser/ExperimenterDefinition.class b/bin/main/meka/gui/guichooser/ExperimenterDefinition.class new file mode 100644 index 00000000..ff7bc05e Binary files /dev/null and b/bin/main/meka/gui/guichooser/ExperimenterDefinition.class differ diff --git a/bin/main/meka/gui/guichooser/ExplorerDefinition.class b/bin/main/meka/gui/guichooser/ExplorerDefinition.class new file mode 100644 index 00000000..6146fcfc Binary files /dev/null and b/bin/main/meka/gui/guichooser/ExplorerDefinition.class differ diff --git a/bin/main/meka/gui/guichooser/GUIChooser$1.class b/bin/main/meka/gui/guichooser/GUIChooser$1.class new file mode 100644 index 00000000..59b177a9 Binary files /dev/null and b/bin/main/meka/gui/guichooser/GUIChooser$1.class differ diff --git a/bin/main/meka/gui/guichooser/GUIChooser.class b/bin/main/meka/gui/guichooser/GUIChooser.class new file mode 100644 index 00000000..cbe0889c Binary files /dev/null and b/bin/main/meka/gui/guichooser/GUIChooser.class differ diff --git a/bin/main/meka/gui/guichooser/HomepageDefinition.class b/bin/main/meka/gui/guichooser/HomepageDefinition.class new file mode 100644 index 00000000..91a35a13 Binary files /dev/null and b/bin/main/meka/gui/guichooser/HomepageDefinition.class differ diff --git a/bin/main/meka/gui/guichooser/ModelViewerDefinition.class b/bin/main/meka/gui/guichooser/ModelViewerDefinition.class new file mode 100644 index 00000000..77029d18 Binary files /dev/null and b/bin/main/meka/gui/guichooser/ModelViewerDefinition.class differ diff --git a/bin/main/meka/gui/guichooser/PrecisionRecallCurve.class b/bin/main/meka/gui/guichooser/PrecisionRecallCurve.class new file mode 100644 index 00000000..416464c5 Binary files /dev/null and b/bin/main/meka/gui/guichooser/PrecisionRecallCurve.class differ diff --git a/bin/main/meka/gui/guichooser/ROC.class b/bin/main/meka/gui/guichooser/ROC.class new file mode 100644 index 00000000..81ec09c4 Binary files /dev/null and b/bin/main/meka/gui/guichooser/ROC.class differ diff --git a/bin/main/meka/gui/guichooser/SystemInfo.class b/bin/main/meka/gui/guichooser/SystemInfo.class new file mode 100644 index 00000000..39018440 Binary files /dev/null and b/bin/main/meka/gui/guichooser/SystemInfo.class differ diff --git a/bin/main/meka/gui/images/GUIChooser.png b/bin/main/meka/gui/images/GUIChooser.png new file mode 100644 index 00000000..8496533e Binary files /dev/null and b/bin/main/meka/gui/images/GUIChooser.png differ diff --git a/bin/main/meka/gui/images/MEKA.png b/bin/main/meka/gui/images/MEKA.png new file mode 100644 index 00000000..1674cafa Binary files /dev/null and b/bin/main/meka/gui/images/MEKA.png differ diff --git a/bin/main/meka/gui/images/MEKA_icon.ico b/bin/main/meka/gui/images/MEKA_icon.ico new file mode 100644 index 00000000..0073535c Binary files /dev/null and b/bin/main/meka/gui/images/MEKA_icon.ico differ diff --git a/bin/main/meka/gui/images/MEKA_icon.png b/bin/main/meka/gui/images/MEKA_icon.png new file mode 100644 index 00000000..d9c10fdc Binary files /dev/null and b/bin/main/meka/gui/images/MEKA_icon.png differ diff --git a/bin/main/meka/gui/images/MEKA_icon_animated1.png b/bin/main/meka/gui/images/MEKA_icon_animated1.png new file mode 100644 index 00000000..78185063 Binary files /dev/null and b/bin/main/meka/gui/images/MEKA_icon_animated1.png differ diff --git a/bin/main/meka/gui/images/MEKA_icon_animated2.png b/bin/main/meka/gui/images/MEKA_icon_animated2.png new file mode 100644 index 00000000..1a903ae7 Binary files /dev/null and b/bin/main/meka/gui/images/MEKA_icon_animated2.png differ diff --git a/bin/main/meka/gui/images/MEKA_icon_animated3.png b/bin/main/meka/gui/images/MEKA_icon_animated3.png new file mode 100644 index 00000000..4b175c53 Binary files /dev/null and b/bin/main/meka/gui/images/MEKA_icon_animated3.png differ diff --git a/bin/main/meka/gui/images/MEKA_icon_animated4.png b/bin/main/meka/gui/images/MEKA_icon_animated4.png new file mode 100644 index 00000000..7c466830 Binary files /dev/null and b/bin/main/meka/gui/images/MEKA_icon_animated4.png differ diff --git a/bin/main/meka/gui/images/arrow-head-down.png b/bin/main/meka/gui/images/arrow-head-down.png new file mode 100644 index 00000000..24cf80e0 Binary files /dev/null and b/bin/main/meka/gui/images/arrow-head-down.png differ diff --git a/bin/main/meka/gui/images/arrow-head-left.png b/bin/main/meka/gui/images/arrow-head-left.png new file mode 100644 index 00000000..3f52d731 Binary files /dev/null and b/bin/main/meka/gui/images/arrow-head-left.png differ diff --git a/bin/main/meka/gui/images/arrow-head-right.png b/bin/main/meka/gui/images/arrow-head-right.png new file mode 100644 index 00000000..82e1668c Binary files /dev/null and b/bin/main/meka/gui/images/arrow-head-right.png differ diff --git a/bin/main/meka/gui/images/arrow-head-up.png b/bin/main/meka/gui/images/arrow-head-up.png new file mode 100644 index 00000000..2353d21f Binary files /dev/null and b/bin/main/meka/gui/images/arrow-head-up.png differ diff --git a/bin/main/meka/gui/images/combinestats.gif b/bin/main/meka/gui/images/combinestats.gif new file mode 100644 index 00000000..4adbe8b1 Binary files /dev/null and b/bin/main/meka/gui/images/combinestats.gif differ diff --git a/bin/main/meka/gui/images/empty.gif b/bin/main/meka/gui/images/empty.gif new file mode 100644 index 00000000..bba941ec Binary files /dev/null and b/bin/main/meka/gui/images/empty.gif differ diff --git a/bin/main/meka/gui/images/exit.png b/bin/main/meka/gui/images/exit.png new file mode 100644 index 00000000..60c1e57d Binary files /dev/null and b/bin/main/meka/gui/images/exit.png differ diff --git a/bin/main/meka/gui/images/experimenter.gif b/bin/main/meka/gui/images/experimenter.gif new file mode 100644 index 00000000..6fa2ee67 Binary files /dev/null and b/bin/main/meka/gui/images/experimenter.gif differ diff --git a/bin/main/meka/gui/images/explorer.gif b/bin/main/meka/gui/images/explorer.gif new file mode 100644 index 00000000..2e81b7c1 Binary files /dev/null and b/bin/main/meka/gui/images/explorer.gif differ diff --git a/bin/main/meka/gui/images/homepage.png b/bin/main/meka/gui/images/homepage.png new file mode 100644 index 00000000..2df71476 Binary files /dev/null and b/bin/main/meka/gui/images/homepage.png differ diff --git a/bin/main/meka/gui/images/model.gif b/bin/main/meka/gui/images/model.gif new file mode 100644 index 00000000..5102f578 Binary files /dev/null and b/bin/main/meka/gui/images/model.gif differ diff --git a/bin/main/meka/gui/images/new.gif b/bin/main/meka/gui/images/new.gif new file mode 100644 index 00000000..dcc20962 Binary files /dev/null and b/bin/main/meka/gui/images/new.gif differ diff --git a/bin/main/meka/gui/images/open.gif b/bin/main/meka/gui/images/open.gif new file mode 100644 index 00000000..edecd3fc Binary files /dev/null and b/bin/main/meka/gui/images/open.gif differ diff --git a/bin/main/meka/gui/images/prc.gif b/bin/main/meka/gui/images/prc.gif new file mode 100644 index 00000000..432b75de Binary files /dev/null and b/bin/main/meka/gui/images/prc.gif differ diff --git a/bin/main/meka/gui/images/report.gif b/bin/main/meka/gui/images/report.gif new file mode 100644 index 00000000..442d5f1a Binary files /dev/null and b/bin/main/meka/gui/images/report.gif differ diff --git a/bin/main/meka/gui/images/roc.gif b/bin/main/meka/gui/images/roc.gif new file mode 100644 index 00000000..bc3b02b2 Binary files /dev/null and b/bin/main/meka/gui/images/roc.gif differ diff --git a/bin/main/meka/gui/images/save.gif b/bin/main/meka/gui/images/save.gif new file mode 100644 index 00000000..9bb41860 Binary files /dev/null and b/bin/main/meka/gui/images/save.gif differ diff --git a/bin/main/meka/gui/images/start.gif b/bin/main/meka/gui/images/start.gif new file mode 100644 index 00000000..d9240f14 Binary files /dev/null and b/bin/main/meka/gui/images/start.gif differ diff --git a/bin/main/meka/gui/images/stop.gif b/bin/main/meka/gui/images/stop.gif new file mode 100644 index 00000000..96f6d9ca Binary files /dev/null and b/bin/main/meka/gui/images/stop.gif differ diff --git a/bin/main/meka/gui/images/systeminfo.png b/bin/main/meka/gui/images/systeminfo.png new file mode 100644 index 00000000..37ef3272 Binary files /dev/null and b/bin/main/meka/gui/images/systeminfo.png differ diff --git a/bin/main/meka/gui/images/undo.gif b/bin/main/meka/gui/images/undo.gif new file mode 100644 index 00000000..d103e0d7 Binary files /dev/null and b/bin/main/meka/gui/images/undo.gif differ diff --git a/bin/main/meka/gui/modelviewer/ModelViewer$1.class b/bin/main/meka/gui/modelviewer/ModelViewer$1.class new file mode 100644 index 00000000..ce386e16 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/ModelViewer$1.class differ diff --git a/bin/main/meka/gui/modelviewer/ModelViewer$2.class b/bin/main/meka/gui/modelviewer/ModelViewer$2.class new file mode 100644 index 00000000..ff37dcab Binary files /dev/null and b/bin/main/meka/gui/modelviewer/ModelViewer$2.class differ diff --git a/bin/main/meka/gui/modelviewer/ModelViewer$3.class b/bin/main/meka/gui/modelviewer/ModelViewer$3.class new file mode 100644 index 00000000..862d1ec6 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/ModelViewer$3.class differ diff --git a/bin/main/meka/gui/modelviewer/ModelViewer$4.class b/bin/main/meka/gui/modelviewer/ModelViewer$4.class new file mode 100644 index 00000000..0f2cb657 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/ModelViewer$4.class differ diff --git a/bin/main/meka/gui/modelviewer/ModelViewer.class b/bin/main/meka/gui/modelviewer/ModelViewer.class new file mode 100644 index 00000000..23adfd42 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/ModelViewer.class differ diff --git a/bin/main/meka/gui/modelviewer/renderers/AbstractObjectRenderer.class b/bin/main/meka/gui/modelviewer/renderers/AbstractObjectRenderer.class new file mode 100644 index 00000000..0e25b679 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/renderers/AbstractObjectRenderer.class differ diff --git a/bin/main/meka/gui/modelviewer/renderers/InstancesRenderer.class b/bin/main/meka/gui/modelviewer/renderers/InstancesRenderer.class new file mode 100644 index 00000000..baf058e1 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/renderers/InstancesRenderer.class differ diff --git a/bin/main/meka/gui/modelviewer/renderers/MultiLabelClassifierRenderer.class b/bin/main/meka/gui/modelviewer/renderers/MultiLabelClassifierRenderer.class new file mode 100644 index 00000000..1b8bd2b1 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/renderers/MultiLabelClassifierRenderer.class differ diff --git a/bin/main/meka/gui/modelviewer/renderers/PlainTextRenderer.class b/bin/main/meka/gui/modelviewer/renderers/PlainTextRenderer.class new file mode 100644 index 00000000..279c8cb1 Binary files /dev/null and b/bin/main/meka/gui/modelviewer/renderers/PlainTextRenderer.class differ diff --git a/bin/main/mekaexamples/classifiers/CrossValidate.class b/bin/main/mekaexamples/classifiers/CrossValidate.class new file mode 100644 index 00000000..62ffebb9 Binary files /dev/null and b/bin/main/mekaexamples/classifiers/CrossValidate.class differ diff --git a/bin/main/mekaexamples/classifiers/ExportPredictionsOnTestSet.class b/bin/main/mekaexamples/classifiers/ExportPredictionsOnTestSet.class new file mode 100644 index 00000000..40d6d432 Binary files /dev/null and b/bin/main/mekaexamples/classifiers/ExportPredictionsOnTestSet.class differ diff --git a/bin/main/mekaexamples/classifiers/JustBuild.class b/bin/main/mekaexamples/classifiers/JustBuild.class new file mode 100644 index 00000000..4f384cb0 Binary files /dev/null and b/bin/main/mekaexamples/classifiers/JustBuild.class differ diff --git a/bin/main/mekaexamples/classifiers/TrainAndPredict.class b/bin/main/mekaexamples/classifiers/TrainAndPredict.class new file mode 100644 index 00000000..1c5db32a Binary files /dev/null and b/bin/main/mekaexamples/classifiers/TrainAndPredict.class differ diff --git a/bin/main/mekaexamples/classifiers/TrainTestSet.class b/bin/main/mekaexamples/classifiers/TrainTestSet.class new file mode 100644 index 00000000..45c49b52 Binary files /dev/null and b/bin/main/mekaexamples/classifiers/TrainTestSet.class differ diff --git a/bin/main/mekaexamples/classifiers/TrainTestSplit.class b/bin/main/mekaexamples/classifiers/TrainTestSplit.class new file mode 100644 index 00000000..e3bbb2be Binary files /dev/null and b/bin/main/mekaexamples/classifiers/TrainTestSplit.class differ diff --git a/bin/main/mekaexamples/experiment/ExperimentExample$1.class b/bin/main/mekaexamples/experiment/ExperimentExample$1.class new file mode 100644 index 00000000..cf32fda7 Binary files /dev/null and b/bin/main/mekaexamples/experiment/ExperimentExample$1.class differ diff --git a/bin/main/mekaexamples/experiment/ExperimentExample$2.class b/bin/main/mekaexamples/experiment/ExperimentExample$2.class new file mode 100644 index 00000000..8a9e5c77 Binary files /dev/null and b/bin/main/mekaexamples/experiment/ExperimentExample$2.class differ diff --git a/bin/main/mekaexamples/experiment/ExperimentExample$3.class b/bin/main/mekaexamples/experiment/ExperimentExample$3.class new file mode 100644 index 00000000..00d79e09 Binary files /dev/null and b/bin/main/mekaexamples/experiment/ExperimentExample$3.class differ diff --git a/bin/main/mekaexamples/experiment/ExperimentExample$4.class b/bin/main/mekaexamples/experiment/ExperimentExample$4.class new file mode 100644 index 00000000..e39ea377 Binary files /dev/null and b/bin/main/mekaexamples/experiment/ExperimentExample$4.class differ diff --git a/bin/main/mekaexamples/experiment/ExperimentExample$5.class b/bin/main/mekaexamples/experiment/ExperimentExample$5.class new file mode 100644 index 00000000..57fc35de Binary files /dev/null and b/bin/main/mekaexamples/experiment/ExperimentExample$5.class differ diff --git a/bin/main/mekaexamples/experiment/ExperimentExample.class b/bin/main/mekaexamples/experiment/ExperimentExample.class new file mode 100644 index 00000000..833d88fb Binary files /dev/null and b/bin/main/mekaexamples/experiment/ExperimentExample.class differ diff --git a/bin/main/mekaexamples/filter/PrepareClassAttributes.class b/bin/main/mekaexamples/filter/PrepareClassAttributes.class new file mode 100644 index 00000000..bb25300a Binary files /dev/null and b/bin/main/mekaexamples/filter/PrepareClassAttributes.class differ diff --git a/bin/main/mekaexamples/gui/classify/MacroCurve.class b/bin/main/mekaexamples/gui/classify/MacroCurve.class new file mode 100644 index 00000000..091144ac Binary files /dev/null and b/bin/main/mekaexamples/gui/classify/MacroCurve.class differ diff --git a/bin/main/mekaexamples/gui/classify/MicroCurve.class b/bin/main/mekaexamples/gui/classify/MicroCurve.class new file mode 100644 index 00000000..36cea37c Binary files /dev/null and b/bin/main/mekaexamples/gui/classify/MicroCurve.class differ diff --git a/bin/main/mekaexamples/gui/classify/PrecisionRecall.class b/bin/main/mekaexamples/gui/classify/PrecisionRecall.class new file mode 100644 index 00000000..5a4f61a8 Binary files /dev/null and b/bin/main/mekaexamples/gui/classify/PrecisionRecall.class differ diff --git a/bin/main/mekaexamples/gui/classify/ROC.class b/bin/main/mekaexamples/gui/classify/ROC.class new file mode 100644 index 00000000..cbebd970 Binary files /dev/null and b/bin/main/mekaexamples/gui/classify/ROC.class differ diff --git a/bin/main/rbms/DBM.class b/bin/main/rbms/DBM.class new file mode 100644 index 00000000..32f7d8a9 Binary files /dev/null and b/bin/main/rbms/DBM.class differ diff --git a/bin/main/rbms/RBM.class b/bin/main/rbms/RBM.class new file mode 100644 index 00000000..a1294ff4 Binary files /dev/null and b/bin/main/rbms/RBM.class differ diff --git a/bin/test/FilterTest.arff b/bin/test/FilterTest.arff new file mode 100644 index 00000000..57a60e50 --- /dev/null +++ b/bin/test/FilterTest.arff @@ -0,0 +1,30 @@ +@relation FilterTest +@attribute StringAtt1 string +@attribute NominalAtt1 {r, g, b} +@attribute NumericAtt1 numeric +@attribute StringAtt2 string +@attribute NominalAtt2 {a, b, c, d} +@attribute NumericAtt2 numeric +@attribute DateAtt1 date "yyyy-MM-dd" +@data +humpty ,g , 1.0 ,the ,a ,-2.3, 2001-04-03 +dumpty ,b , 2.0 ,quick ,b ,-3.3, 2001-04-03 +sat ,r , 3.0 ,brown ,c ,-2.4, 2001-04-03 +on ,r , 4.0 ,fox ,d ,-5.3, 2001-04-03 +a ,b , 5.0 ,jumped,a ,-2.6, 2001-04-03 +wall ,r , 6.0 ,over ,b ,-7.3, 2001-04-04 +humpty ,r , 7.0 ,the ,c ,-2.8, 2001-04-04 +dumpty ,g , 8.0 ,lazy ,d ,-9.3, 2001-04-04 +had ,b , 9.0 ,dog ,? ,-2.0, 2001-05-04 +a ,r , 9.4 ,? ,? ,-9.0, 2001-05-04 +great ,r , 1.4 ,the ,a ,-8.3, 2001-05-05 +fall ,b , 2.3 ,quick ,b ,-7.3, 2001-05-05 +all ,r , 3.3 ,brown ,c ,? , 2001-05-05 +the ,r , 4.3 ,fox ,d ,-5.3, 2001-05-05 +kings ,g , 5.3 ,jumped,? ,-5.6, 2001-05-06 +horses ,b , 6.5 ,over ,b ,-4.3, 2001-05-06 +and ,r , 7.5 ,the ,c ,-3.8, 2001-06-06 +all ,r , 8.5 ,lazy ,d ,-2.3, 2001-06-06 +the ,r , 9.4 ,? ,a ,-1.0, 2001-06-07 +{0 wall, 2 4.3, 3 the, 4 d} +{0 humpty, 1 b, 3 lazy, 5 3.4} diff --git a/bin/test/Music-test.arff b/bin/test/Music-test.arff new file mode 100644 index 00000000..26c63cba --- /dev/null +++ b/bin/test/Music-test.arff @@ -0,0 +1,183 @@ +@relation 'Music: -C -6' + +@attribute Mean_Acc1298_Mean_Mem40_Centroid numeric +@attribute Mean_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Mean_Mem40_Flux numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Mean_Acc1298_Std_Mem40_Centroid numeric +@attribute Mean_Acc1298_Std_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Std_Mem40_Flux numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Mean_Mem40_Centroid numeric +@attribute Std_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Std_Acc1298_Mean_Mem40_Flux numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Std_Mem40_Centroid numeric +@attribute Std_Acc1298_Std_Mem40_Rolloff numeric +@attribute Std_Acc1298_Std_Mem40_Flux numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute BH_LowPeakAmp numeric +@attribute BH_LowPeakBPM numeric +@attribute BH_HighPeakAmp numeric +@attribute BH_HighPeakBPM numeric +@attribute BHSUM1 numeric +@attribute BHSUM2 numeric +@attribute BHSUM3 numeric +@attribute amazed-suprised {0,1} +@attribute happy-pleased {0,1} +@attribute relaxing-clam {0,1} +@attribute quiet-still {0,1} +@attribute sad-lonely {0,1} +@attribute angry-aggresive {0,1} + +@data + +0.221018,0.125829,0.175673,0.636171,0.374229,0.5367,0.443909,0.388533,0.400902,0.329176,0.450092,0.335534,0.629748,0.610383,0.365428,0.445289,0.161134,0.188892,0.100932,0.168674,0.24387,0.230896,0.133842,0.198432,0.137921,0.27538,0.274092,0.233685,0.433426,0.580933,0.766817,0.47904,0.129016,0.244254,0.090994,0.138504,0.244921,0.095085,0.153084,0.168173,0.237503,0.104153,0.124729,0.098284,0.168759,0.235155,0.274645,0.127042,0.301243,0.29945,0.886401,0.446515,0.298415,0.174361,0.121881,0.174198,0.167232,0.207009,0.23308,0.157767,0.235918,0.248503,0.322752,0.286505,0.133697,0.333333,0.206725,0.315789,0.290841,0.193127,0.403205,0,1,1,0,0,0 +0.122595,0.023182,0.127259,0.491571,0.803194,0.542151,0.354469,0.673371,0.813474,0.631414,0.62619,0.313824,0.527451,0.204038,0.104277,0.098534,0.052576,0.058,0.108171,0.181941,0.354787,0.477195,0.253254,0.249042,0.185352,0.420025,0.20246,0.18115,0.361989,0.321913,0.40353,0.466227,0.041801,0.075195,0.154691,0.170448,0.285689,0.168927,0.229613,0.38286,0.259028,0.242536,0.130074,0.089637,0.152747,0.211469,0.198357,0.122208,0.346321,0.250686,0.883352,0.484264,0.513263,0.491371,0.263209,0.361918,0.447525,0.510841,0.17097,0.149736,0.211443,0.166376,0.185389,0.396196,0.048298,0.857143,0,0.81203,0.088928,0.204104,0.226557,0,0,0,1,1,0 +0.341664,0.178263,0.154471,0.482945,0.467036,0.368077,0.48037,0.357897,0.147832,0.339479,0.54111,0.436043,0.636197,0.232759,0.269422,0.340261,0.19393,0.196218,0.069697,0.160025,0.161459,0.201256,0.236193,0.29142,0.268902,0.457352,0.498237,0.256247,0.404879,0.353406,0.47926,0.294483,0.181148,0.281632,0.320183,0.469463,0.462508,0.453973,0.260558,0.484514,0.39699,0.41337,0.257235,0.208441,0.545947,0.334593,0.360616,0.19972,0.611116,0.521589,0.913538,0.664781,0.636001,0.44888,0.455563,0.434561,0.342795,0.568119,0.468031,0.261213,0.305209,0.207318,0.210346,0.198259,0.131247,0.603175,0,0.571429,0.205373,0.210217,0.230517,0,0,0,0,0,1 +0.280232,0.349473,0.237179,0.664788,0.280472,0.693597,0.435466,0.510179,0.320371,0.402864,0.499684,0.493887,0.294287,0.37532,0.425394,0.303015,0.281717,0.605125,0.113265,0.339625,0.373754,0.488245,0.6725,0.664899,0.533907,0.786505,0.632661,0.301816,0.503941,0.440329,0.518287,0.328525,0.098425,0.220616,0.191675,0.166607,0.198565,0.225724,0.355926,0.477048,0.245506,0.19648,0.101299,0.074385,0.137076,0.109356,0.116728,0.089111,0.291915,0.435737,0.878387,0.512652,0.258614,0.309618,0.489579,0.737636,0.466232,0.528353,0.30442,0.193474,0.231849,0.198199,0.171677,0.118863,0.09724,0.190476,0.113893,0.180451,0.09607,0.239824,0.168475,0,0,0,0,0,1 +0.147486,0.121335,0.21958,0.7129,0.422258,0.39124,0.559071,0.582783,0.47074,0.616079,0.575171,0.415901,0.57019,0.461074,0.379824,0.354128,0.130325,0.308545,0.16065,0.237027,0.322538,0.372312,0.37045,0.328839,0.13264,0.253458,0.308344,0.259529,0.278119,0.240529,0.354217,0.214371,0.028635,0.156009,0.15745,0.05162,0.160662,0.157259,0.193772,0.174179,0.166335,0.120281,0.17181,0.113061,0.164039,0.096009,0.09416,0.111972,0.313674,0.445188,0.847591,0.425668,0.184539,0.20563,0.188226,0.145186,0.123743,0.359609,0.192143,0.143798,0.175058,0.165137,0.072106,0.111993,0.045739,0.015873,0.107545,0.413534,0.121848,0.0019,0.201389,0,1,1,0,0,0 +0.098353,0.395352,0.172917,0.479537,0.537351,0.508741,0.519785,0.607586,0.159651,0.528995,0.487293,0.410302,0.533254,0.707778,0.301952,0.778103,0.149894,0.779818,0.107181,0.208936,0.235514,0.348319,0.503134,0.325529,0.34548,0.489258,0.422775,0.264696,0.33111,0.296294,0.354195,0.256976,0.034914,0.634517,0.095808,0.176786,0.284849,0.221333,0.409789,0.356079,0.298148,0.254188,0.182657,0.162353,0.194116,0.166752,0.218936,0.112214,0.412258,0.468578,0.884964,0.488498,0.282855,0.328574,0.473372,0.215718,0.385273,0.572115,0.294695,0.143283,0.164806,0.18518,0.118449,0.114623,0.034871,0.333333,0.023065,0.315789,0.075494,0.004212,0.073327,0,0,1,1,1,0 +0.193174,0.375234,0.200343,0.604994,0.400787,0.646079,0.396886,0.518437,0.292752,0.600803,0.534642,0.401633,0.371837,0.577953,0.252297,0.542436,0.252327,0.614073,0.161707,0.374244,0.291705,0.511382,0.621352,0.530875,0.41383,0.699741,0.403596,0.367068,0.338037,0.316364,0.525653,0.241101,0.082395,0.795485,0.259598,0.158377,0.246044,0.223215,0.237011,0.598568,0.267354,0.227476,0.178673,0.110877,0.123913,0.231531,0.257622,0.120365,0.473568,0.633771,0.869457,0.489111,0.260027,0.393622,0.530007,0.420334,0.506269,0.42475,0.270633,0.361531,0.209265,0.187304,0.294255,0.125073,0.042765,0.253968,0.115079,0.75188,0.118891,0.115283,0.262654,0,1,1,0,0,0 +0.153738,0.059205,0.105447,0.544262,0.483538,0.602109,0.461999,0.548696,0.439071,0.502013,0.603348,0.35512,0.39225,0.336947,0.287653,0.237788,0.108719,0.151749,0.10223,0.200406,0.233092,0.190414,0.166084,0.21083,0.152274,0.305261,0.281089,0.20765,0.329628,0.238194,0.27516,0.314238,0.042016,0.162077,0.19056,0.249203,0.206458,0.363932,0.469586,0.286372,0.263743,0.189818,0.181574,0.117875,0.208386,0.153498,0.217561,0.131829,0.348304,0.393891,0.907309,0.522457,0.328872,0.253789,0.208888,0.340878,0.307003,0.583974,0.526891,0.357519,0.479926,0.340888,0.189245,0.603678,0.00985,0.507937,0.036489,0.481203,0.106725,0.02741,0.150848,0,0,1,0,0,0 +0.370853,0.187212,0.069492,0.560177,0.486761,0.315762,0.477004,0.394631,0.317904,0.229073,0.344019,0.48002,0.462748,0.447991,0.285369,0.315612,0.09616,0.088262,0.033512,0.075238,0.070184,0.0669,0.081847,0.163529,0.19259,0.269946,0.350614,0.272084,0.370023,0.427703,0.427654,0.243113,0.078044,0.106181,0.075907,0.522395,0.436287,0.198061,0.46086,0.466538,0.19714,0.245143,0.315734,0.265808,0.286672,0.389424,0.238665,0.1634,0.27662,0.178263,0.937015,0.494855,0.220598,0.072698,0.107524,0.161068,0.234225,0.325929,0.258063,0.303293,0.286998,0.303795,0.187329,0.153542,0.059787,0.142857,0.221758,0.135338,0.304481,0.369567,0.380205,1,1,1,0,0,0 +0.145666,0.077597,0.136872,0.809439,0.511055,0.237689,0.592731,0.578463,0.29529,0.310293,0.558771,0.483098,0.732181,0.418424,0.362,0.427195,0.084481,0.103517,0.125246,0.137867,0.282283,0.247374,0.21905,0.208153,0.148131,0.23532,0.194167,0.131804,0.219162,0.260152,0.239061,0.158103,0.054743,0.076124,0.054773,0.015036,0.15091,0.124489,0.211403,0.188304,0.12438,0.202359,0.125672,0.091497,0.196995,0.171343,0.182447,0.094837,0.30655,0.183713,0.899904,0.522704,0.106941,0.211134,0.144764,0.17744,0.114847,0.260199,0.131352,0.13624,0.119031,0.125141,0.088788,0.046924,0.009192,0.222222,0.026767,0.210526,0.048249,0.079646,0.056438,0,0,0,0,1,0 +0.442128,0.338509,0.146959,0.887943,0.141077,0.52091,0.477504,0.535068,0.605487,0.508555,0.607718,0.436226,0.732544,0.617112,0.332792,0.438546,0.28155,0.301456,0.099722,0.120617,0.165327,0.189417,0.236622,0.305531,0.316008,0.540156,0.301445,0.195759,0.333987,0.226106,0.296809,0.202103,0.182196,0.319431,0.166549,0.100401,0.165655,0.081331,0.216136,0.15366,0.268035,0.167368,0.081205,0.108962,0.162902,0.051464,0.115098,0.084502,0.243073,0.15465,0.928217,0.337468,0.273566,0.191167,0.218869,0.251286,0.263489,0.407629,0.209104,0.121323,0.153268,0.119199,0.095446,0.111231,0.125462,0.761905,0.008966,0.721805,0.021898,0.29792,0.164329,1,1,0,0,0,0 +0.470193,0.458552,0.255298,0.635612,0.219416,0.591525,0.145565,0.666515,0.421307,0.632335,0.5827,0.410319,0.629417,0.467865,0.413649,0.452754,0.743035,0.737013,0.178056,0.387252,0.508154,0.911649,0.512093,0.482326,0.264258,0.292485,0.185839,0.122223,0.186591,0.18333,0.168421,0.10884,0.15037,0.35539,0.024246,0.170555,0.108299,0.226257,0.147316,0.196088,0.052627,0.028389,0.007409,0.005715,0.022086,0.011566,0.030141,0.015315,0.369402,0.149376,0.850335,0.295284,0.088524,0.531234,0.148764,0.277118,0.093966,0.167414,0.096502,0.034683,0.074024,0.033818,0.020839,0.020114,0.141696,0.253968,0.159773,0.240602,0.188446,0.201801,0.209003,0,0,0,0,0,1 +0.563422,0.329891,0.291411,0.551339,0.210407,0.401898,0.489522,0.46944,0.206084,0.327656,0.974602,0.534646,0.444324,0.293733,0.335887,0.536464,0.531344,0.380915,0.244595,0.277795,0.355819,0.609155,0.602659,0.497698,0.687224,0.698461,0.710884,0.477403,0.536283,0.496975,0.558931,0.336593,0.116289,0.120572,0.167606,0.221219,0.206055,0.314065,0.569485,0.467406,0.503392,0.275196,0.242223,0.198391,0.172494,0.196805,0.269264,0.138515,0.363471,0.177313,0.822546,0.469831,0.222142,0.450884,0.411756,0.401754,0.760969,0.470348,0.507168,0.334048,0.338061,0.214685,0.140053,0.188492,0.25002,0.253968,0.347182,0.240602,0.280406,0.398666,0.35504,0,0,1,0,0,0 +0.341875,0.130637,0.1148,0.442004,0.543993,0.27828,0.420637,0.304638,0.391427,0.390675,0.588218,0.198021,0.30714,0.339913,0.381435,0.475436,0.105034,0.071278,0.046241,0.146312,0.212971,0.145632,0.230437,0.248412,0.41363,0.695965,0.639713,0.471843,0.737825,0.828863,0.93228,0.451197,0.117131,0.135559,0.144065,0.377102,0.418875,0.2079,0.443791,0.415392,0.435235,0.60054,0.322752,0.25613,0.430651,0.425959,0.374325,0.258032,0.285764,0.190835,0.927825,0.491804,0.415849,0.160448,0.252669,0.251494,0.72614,0.820787,0.62506,0.520099,0.501851,0.68103,0.381677,0.33286,0.023315,0.253968,0.02308,0.240602,0.108157,0.111843,0.185092,0,0,1,0,0,0 +0.291225,0.093976,0.099065,0.417811,0.71551,0.272893,0.421158,0.417071,0.307482,0.274722,0.4379,0.245137,0.528406,0.161563,0.322374,0.280572,0.062967,0.038813,0.051324,0.107643,0.146527,0.115073,0.135543,0.173674,0.14692,0.374265,0.451829,0.320145,0.486069,0.486433,0.541556,0.273199,0.130288,0.132971,0.075613,0.257345,0.474043,0.213275,0.282992,0.285586,0.230454,0.240013,0.389925,0.384456,0.442391,0.417147,0.296842,0.151459,0.288959,0.211409,0.906438,0.640608,0.467153,0.18345,0.120509,0.179611,0.162892,0.357142,0.351948,0.276782,0.530434,0.360184,0.265581,0.15189,0.012564,0.31746,0.019418,0.300752,0.061747,0.070753,0.111562,0,0,1,0,0,0 +0.256146,0.140532,0.261578,0.776662,0.478951,0.391945,0.479863,0.602591,0.168417,0.469287,0.692587,0.264401,0.610716,0.279744,0.230913,0.036556,0.272063,0.269152,0.172048,0.279758,0.433503,0.533856,0.7867,0.474348,0.628469,0.554936,0.468736,0.389014,0.385425,0.392277,0.543269,0.320593,0.067292,0.08661,0.071504,0.105816,0.196045,0.273587,0.349392,0.398104,0.341837,0.27384,0.179819,0.135077,0.141523,0.176867,0.174678,0.140151,0.376545,0.279808,0.83435,0.509987,0.443764,0.42607,0.505711,0.250728,0.558955,0.430302,0.293155,0.294646,0.291167,0.256491,0.130004,0.144344,0.001761,0.126984,0.004205,0.120301,0.011551,0.028624,0.022775,0,0,1,0,1,0 +0.538445,0.366025,0.130332,0.932269,0.258736,0.323266,0.541559,0.495988,0.098591,0.735268,0.485606,0.327964,0.484994,0.363673,0.410297,0.215185,0.307237,0.278825,0.048541,0.133588,0.165298,0.31689,0.273966,0.240329,0.248464,0.336804,0.338496,0.164812,0.278058,0.274523,0.294226,0.211477,0.170517,0.213106,0.11753,0.215277,0.192034,0.232229,0.332905,0.166618,0.260325,0.152957,0.082749,0.095992,0.189461,0.138815,0.111122,0.079803,0.293513,0.341766,0.917937,0.751106,0.278234,0.411319,0.362039,0.23193,0.237982,0.252636,0.205898,0.066951,0.111955,0.089006,0.08462,0.07735,0.073945,0.555556,0.066767,0.526316,0.221346,0.14368,0.265365,1,0,0,0,0,1 +0.227702,0.089744,0.071695,0.585097,0.606343,0.364547,0.535238,0.549203,0.242482,0.533748,0.603385,0.494939,0.666328,0.346039,0.276401,0.370556,0.144128,0.119924,0.048156,0.189362,0.283685,0.321462,0.321377,0.359038,0.374986,0.517267,0.337889,0.264962,0.42267,0.325079,0.326772,0.263668,0.143015,0.190748,0.122109,0.321557,0.464539,0.351803,0.325927,0.598496,0.488793,0.307189,0.244531,0.196199,0.269049,0.193248,0.179402,0.16085,0.442978,0.29874,0.924253,0.396419,0.594969,0.487373,0.372881,0.439588,0.502161,0.540779,0.17412,0.293534,0.296103,0.217645,0.0909,0.179715,0.012588,0.079365,0.030855,0.503759,0.126894,0.12548,0.1688,0,0,1,1,1,0 +0.19799,0.066772,0.103967,0.574514,0.515192,0.686254,0.464583,0.600516,0.369436,0.356694,0.635398,0.393429,0.937932,0.719886,0.284708,0.29457,0.192921,0.155106,0.093814,0.166826,0.31151,0.205295,0.228893,0.2553,0.303913,0.477749,0.412323,0.339553,0.428062,0.325692,0.460614,0.391683,0.097499,0.120604,0.163379,0.143277,0.154806,0.183946,0.229012,0.256792,0.29693,0.181491,0.248831,0.14517,0.210752,0.150665,0.130726,0.098283,0.645287,0.427131,0.908877,0.484954,0.451122,0.35854,0.232442,0.266158,0.450213,0.58326,0.429197,0.252368,0.332814,0.184855,0.172909,0.323149,0.050359,0.222222,0.128201,0.210526,0.241636,0.230931,0.255996,0,0,1,1,1,0 +0.331157,0.350623,0.260257,0.594814,0.21886,0.776779,0.618898,0.785221,0.351303,0.60244,0.532502,0.358673,0.757159,0.406868,0.363921,0.456488,0.377859,0.621741,0.113408,0.354285,0.402901,0.516341,0.67348,0.688789,0.545746,0.763764,0.840669,0.339318,0.431176,0.443688,0.423335,0.270791,0.296875,0.337306,0.094106,0.202575,0.169087,0.172971,0.359782,0.403089,0.179133,0.214631,0.251112,0.075402,0.082118,0.094571,0.089521,0.084985,0.738235,0.480224,0.867933,0.393614,0.492334,0.320341,0.350964,0.434753,0.371796,0.401023,0.439876,0.138765,0.147948,0.20358,0.124,0.117877,0.035299,0.698413,0.043908,0.661654,0.037336,0.39157,0.298157,0,0,0,0,0,1 +0.260168,0.119318,0.107808,0.40215,0.588583,0.239579,0.522322,0.364985,0.450277,0.356573,0.576083,0.303307,0.605831,0.579716,0.345099,0.316092,0.09499,0.088333,0.043876,0.139636,0.102224,0.101369,0.142055,0.207122,0.219705,0.379376,0.39075,0.273347,0.471525,0.468433,0.505815,0.29419,0.106791,0.159715,0.099977,0.326305,0.329732,0.180619,0.23189,0.448904,0.322597,0.253292,0.204516,0.213063,0.3716,0.295022,0.275036,0.164297,0.336608,0.416489,0.909661,0.659391,0.275231,0.202816,0.222612,0.275904,0.246451,0.302515,0.221934,0.289712,0.454404,0.39867,0.296535,0.223148,0.053659,0.333333,0,0.315789,0.31904,0.178057,0.259206,0,1,1,0,0,0 +0.396769,0.38496,0.249379,0.646972,0.175417,0.624912,0.483857,0.497741,0.463463,0.727042,0.608795,0.430258,0.929383,0.509304,0.516635,0.41135,0.439916,0.613266,0.153708,0.3848,0.417711,0.627887,0.580383,0.568792,0.553307,0.708534,0.591981,0.28863,0.46922,0.391261,0.54595,0.340584,0.296417,0.251168,0.167078,0.080259,0.259634,0.179655,0.279349,0.321883,0.284457,0.203239,0.09958,0.098714,0.081801,0.102104,0.177796,0.093848,0.390573,0.260331,0.85321,0.449803,0.323452,0.435784,0.417111,0.363424,0.423826,0.436738,0.369058,0.145734,0.220288,0.093491,0.167989,0.20284,0.052199,0.015873,0.022179,0.015038,0.32733,0.036531,0.200802,0,0,0,0,0,1 +0.18176,0.472608,0.290755,0.623036,0.293872,0.772405,0.503122,0.704976,0.425843,0.56042,0.454273,0.29025,0.368444,0.366858,0.301929,0.163357,0.271747,0.814033,0.168792,0.302788,0.366488,0.613287,0.588656,0.621505,0.552606,0.711172,0.588627,0.342314,0.503373,0.52322,0.457189,0.335376,0.143006,0.500862,0.123811,0.132068,0.185852,0.326658,0.284099,0.52566,0.22579,0.201312,0.134988,0.069518,0.121268,0.132438,0.118869,0.074396,0.401039,0.334333,0.858873,0.393533,0.21369,0.437626,0.342345,0.399942,0.425802,0.51695,0.268594,0.256284,0.18169,0.211312,0.111028,0.097538,0.189903,0.142857,0.199901,0.135338,0.310744,0.202859,0.306637,0,1,1,0,0,0 +0.271561,0.367226,0.374142,0.794176,0.290052,0.563757,0.340722,0.587574,0.484907,0.577471,0.63341,0.464919,0.62595,0.450829,0.345182,0.388137,0.396988,0.709315,0.263431,0.226269,0.178181,0.229559,0.27744,0.116869,0.136475,0.037913,0.087447,0.01671,0.087483,0.071152,0.060274,0.056813,0.107334,0.125817,0.397675,0.071179,0.162596,0.15073,0.0808,0.104626,0.114129,0.028392,0.017539,0.025428,0.035469,0.026897,0.031493,0.022914,0.219037,0.358703,0.801028,0.388553,0.120915,0.202878,0.093114,0.096759,0.092094,0.101081,0.143452,0.054749,0.057416,0.003477,0.022458,0.012167,0.053909,0.285714,0.11051,0.270677,0.073152,0.159844,0.195858,1,0,0,0,0,1 +0.278628,0.218104,0.121487,0.845143,0.185814,0.547455,0.53696,0.63077,0.391053,0.648148,0.615135,0.451711,0.604451,0.362024,0.39158,0.39046,0.201225,0.310308,0.084638,0.130812,0.155081,0.323788,0.349561,0.379179,0.413762,0.537179,0.350198,0.254745,0.387303,0.342924,0.454961,0.342018,0.10652,0.220154,0.20553,0.061671,0.24937,0.183292,0.272633,0.313247,0.292755,0.204061,0.131262,0.110135,0.166973,0.158292,0.125399,0.10361,0.352693,0.253256,0.913102,0.367045,0.142014,0.349002,0.244248,0.345803,0.421177,0.421896,0.167041,0.173706,0.224615,0.145404,0.142401,0.16808,0.027217,0.52381,0,0.496241,0.114369,0.015262,0.062466,1,0,0,0,0,1 +0.086674,0.375934,0.174148,0.551415,0.517186,0.594533,0.261276,0.674029,0.124604,0.606803,0.598694,0.482165,0.695345,0.396849,0.328693,0.53234,0.132901,0.799274,0.125686,0.250005,0.212541,0.323103,0.33395,0.261181,0.405036,0.656567,0.326992,0.404021,0.328826,0.42716,0.39127,0.247979,0.058926,0.57559,0.125514,0.171608,0.179594,0.210013,0.299016,0.208943,0.231349,0.309879,0.067245,0.230153,0.142659,0.179641,0.159025,0.090297,0.43701,0.55632,0.883875,0.455238,0.193227,0.231573,0.140712,0.134835,0.330835,0.566572,0.129406,0.241257,0.189937,0.160295,0.167199,0.147468,0.023315,0.619048,0,0.586466,0.040314,0.137938,0.083766,0,0,1,0,0,0 +0.534293,0.349494,0.058388,0.913047,0.278973,0.466734,0.380714,0.327105,0.364173,0.119115,0.525284,0.351386,0.613029,0.292268,0.437996,0.571198,0.140332,0.146958,0.030783,0.016233,0.022399,0.073296,0.136776,0.164753,0.201003,0.277516,0.237197,0.1325,0.213974,0.211106,0.300118,0.168775,0.085418,0.148217,0.121756,0.00966,0.09651,0.121586,0.204361,0.234499,0.261923,0.174754,0.144705,0.138966,0.124336,0.118979,0.127987,0.093524,0.266613,0.164406,0.940718,0.436658,0.193504,0.126522,0.163099,0.137523,0.206954,0.268716,0.131374,0.103628,0.125767,0.088939,0.071735,0.058452,0.034318,0.365079,0.281795,0.345865,0.072505,0.263845,0.427645,1,0,0,0,0,1 +0.337653,0.227758,0.205438,0.851343,0.314655,0.470137,0.422247,0.425715,0.373603,0.48527,0.532172,0.388277,0.371685,0.372143,0.345983,0.363944,0.291366,0.343097,0.096949,0.149073,0.271513,0.316334,0.556047,0.443004,0.380635,0.544066,0.474054,0.264596,0.479725,0.397911,0.502165,0.259897,0.091126,0.143735,0.155395,0.088218,0.132597,0.159857,0.336084,0.280277,0.209893,0.218018,0.076815,0.096155,0.134677,0.134291,0.231832,0.043301,0.248214,0.213257,0.890321,0.312412,0.169455,0.264938,0.466514,0.39497,0.304613,0.307694,0.194972,0.151149,0.197236,0.113745,0.159389,0.136157,0.091427,0.52381,0.022562,0.496241,0.249892,0.040713,0.23479,0,0,0,0,0,1 +0.376943,0.184548,0.263047,0.675901,0.329264,0.475308,0.380144,0.685533,0.688897,0.720584,0.626065,0.389743,0.745359,0.568707,0.341839,0.542036,0.421969,0.353452,0.15592,0.444405,0.352089,0.359102,0.496197,0.434433,0.329448,0.585034,0.480953,0.273644,0.499896,0.327352,0.500663,0.345752,0.175215,0.229822,0.095926,0.303574,0.333885,0.260645,0.437876,0.438307,0.283715,0.320737,0.162789,0.126366,0.21477,0.149832,0.169768,0.140768,0.571418,0.331458,0.868063,0.385692,0.439154,0.516944,0.570067,0.596361,0.330784,0.68006,0.302788,0.202092,0.321177,0.148547,0.215439,0.224017,0.030737,0.349206,0.016232,0.330827,0.127408,0.220553,0.215333,0,0,1,0,0,0 +0.073516,0.006444,0.064985,0.569578,0.485708,0.574921,0.449156,0.624553,0.499157,0.806064,0.658378,0.37558,0.562982,0.538298,0.317558,0.174411,0.049808,0.068569,0.055153,0.113223,0.15959,0.132052,0.198355,0.266137,0.285045,0.171058,0.333167,0.157931,0.239635,0.21269,0.285863,0.220774,0.112443,0.131317,0.101385,0.306394,0.248436,0.17712,0.361032,0.353705,0.276932,0.168125,0.330667,0.113338,0.300497,0.247557,0.182578,0.148397,0.446778,0.338134,0.913886,0.598316,0.408406,0.274587,0.430161,0.413175,0.44979,0.21734,0.522866,0.144865,0.213561,0.092858,0.080796,0.159282,0.020117,0.761905,0,0.721805,0.123762,0.234353,0.21986,0,0,0,1,1,0 +0.063036,0.018091,0.120098,0.589058,0.508815,0.548251,0.726329,0.702365,0.34189,0.601022,0.470106,0.416053,0.70873,0.514808,0.318528,0.35766,0.044767,0.147847,0.105674,0.143859,0.227457,0.173568,0.425433,0.234506,0.255481,0.332379,0.297597,0.131831,0.260324,0.278416,0.263283,0.180546,0.028897,0.102632,0.093225,0.126856,0.14844,0.321208,0.507958,0.251585,0.281088,0.253944,0.17535,0.109079,0.144105,0.170373,0.165189,0.139683,0.361451,0.530618,0.908877,0.466773,0.216934,0.180936,0.339378,0.344337,0.447831,0.466302,0.234392,0.088463,0.257705,0.215722,0.03955,0.116846,0.059318,0.190476,0.041141,0.180451,0.102429,0.154028,0.168247,0,0,1,1,0,0 +0.075687,0.435124,0.39897,0.634623,0.330407,0.686147,0.470661,0.690273,0.40962,0.512572,0.604148,0.481688,0.603817,0.444555,0.34737,0.427207,0.10761,0.820968,0.295479,0.262798,0.38041,0.281499,0.23722,0.088916,0.090797,0.276382,0.087223,0.041806,0.111083,0.100262,0.123373,0.109136,0.036018,0.582832,0.032699,0.078772,0.039718,0.097517,0.138148,0.067371,0.093713,0.048277,0.047099,0.01497,0.013704,0.037041,0.048625,0.030206,0.375994,0.736055,0.740788,0.419523,0.018955,0.07384,0.176959,0.09962,0.108837,0.093421,0.026217,0.082565,0.034647,0.026019,0.014659,0.033458,0.479457,0.285714,0.556311,0.270677,0.484615,0.545537,0.578085,1,0,0,0,0,1 +0.244343,0.113568,0.09292,0.391957,0.538775,0.473877,0.489317,0.582846,0.507455,0.505833,0.545104,0.322183,0.786701,0.426235,0.356696,0.508085,0.265598,0.204142,0.090865,0.177178,0.327041,0.393065,0.258948,0.321632,0.216419,0.492008,0.259077,0.17747,0.314481,0.184895,0.303774,0.134185,0.224399,0.271049,0.296583,0.197701,0.370027,0.236228,0.231235,0.251877,0.366455,0.401747,0.204558,0.13909,0.245074,0.177427,0.211492,0.178155,0.89666,0.489692,0.923992,0.636191,0.647622,0.630936,0.330619,0.438138,0.341457,0.631943,0.227101,0.144131,0.42854,0.080179,0.169392,0.113887,0.026563,0.428571,0.063997,0.406015,0.08525,0.069695,0.226155,0,0,0,1,1,0 +0.214442,0.650777,0.465299,0.482571,0.32594,0.459216,0.533368,0.503863,0.532684,0.649365,0.637362,0.486073,0.62899,0.496387,0.471979,0.693362,0.384621,0.855703,0.503823,0.608495,0.597357,0.530897,0.441402,0.389286,0.40229,0.596336,0.509795,0.228127,0.563097,0.424295,0.31449,0.228077,0.209231,0.598415,0.251673,0.263062,0.233851,0.179114,0.24387,0.352615,0.199723,0.179894,0.219194,0.076021,0.147974,0.133943,0.095093,0.080285,0.603992,0.320376,0.765877,0.51985,0.350672,0.359766,0.443449,0.297686,0.430449,0.619841,0.401481,0.30942,0.603319,0.357504,0.121387,0.126805,0.032811,0.301587,0.068366,0.285714,0.071335,0.12525,0.144511,0,1,1,0,0,0 +0.298541,0.241755,0.280612,0.631298,0.34444,0.664489,0.476055,0.714195,0.329396,0.670956,0.505388,0.407833,0.510055,0.540249,0.338143,0.20328,0.347899,0.487808,0.16141,0.352155,0.391093,0.507678,0.626769,0.628277,0.590085,0.70029,0.761487,0.344936,0.700613,0.552716,0.539969,0.29972,0.102056,0.321945,0.158272,0.122457,0.156203,0.219524,0.255059,0.352946,0.298271,0.202995,0.125239,0.079098,0.314542,0.135284,0.129211,0.068294,0.420962,0.365144,0.899425,0.405577,0.263641,0.375823,0.321746,0.377294,0.398859,0.333488,0.397743,0.16765,0.386298,0.15012,0.133265,0.096434,0.008211,0.555556,0,0.526316,0.021007,0.041967,0.023756,0,0,1,0,0,1 +0.286597,0.137196,0.264436,0.343541,0.472775,0.218568,0.81226,0.413801,0.516279,0.484785,0.691701,0.397858,0.447886,0.568994,0.401207,0.530098,0.273754,0.198496,0.212745,0.466368,0.239491,0.721185,0.601152,0.476589,0.655941,0.946479,0.489218,0.342537,0.388413,0.412,0.477184,0.306935,0.080627,0.09185,0.103205,0.294257,0.133959,0.281458,0.245392,0.326734,0.280019,0.235577,0.238891,0.13789,0.102473,0.123427,0.200295,0.153145,0.257634,0.191932,0.831606,0.416279,0.221748,0.574363,0.193011,0.306817,0.568895,0.561449,0.279188,0.20406,0.192518,0.130541,0.159735,0.153878,0.024765,0.333333,0.377946,0.315789,0.0762,0.096021,0.290293,0,0,1,0,0,0 +0.312481,0.262567,0.217005,0.799428,0.306849,0.617013,0.381821,0.491815,0.38268,0.202026,0.604818,0.534693,0.462573,0.517297,0.408152,0.407822,0.323549,0.475529,0.11068,0.219914,0.27492,0.353384,0.448291,0.43052,0.371525,0.52757,0.681835,0.290045,0.438695,0.367678,0.355849,0.229745,0.071821,0.198373,0.102912,0.010385,0.083052,0.079162,0.25704,0.250242,0.174791,0.123787,0.142906,0.075471,0.163695,0.1283,0.107707,0.076943,0.290887,0.26432,0.894547,0.529214,0.13959,0.249354,0.248376,0.258781,0.31416,0.194285,0.202454,0.164972,0.195011,0.093469,0.059264,0.064168,0.047595,0.190476,0,0.180451,0.113591,0,0.048005,0,0,0,0,0,1 +0.374902,0.213839,0.117387,0.801585,0.386146,0.216054,0.392757,0.503887,0.503704,0.47273,0.62249,0.377408,0.597172,0.666389,0.331898,0.528219,0.182343,0.157265,0.049333,0.040584,0.084339,0.152586,0.171144,0.231508,0.306684,0.294418,0.295209,0.192634,0.257155,0.273689,0.254886,0.202977,0.036795,0.081979,0.182517,0.056362,0.044586,0.154759,0.147323,0.225726,0.305088,0.143941,0.096251,0.08315,0.117248,0.147733,0.103106,0.076864,0.347607,0.322682,0.920289,0.427535,0.19551,0.275092,0.191316,0.280792,0.472306,0.254367,0.206151,0.242197,0.146924,0.145993,0.074901,0.171026,0.063187,0.349206,0.061131,0.330827,0.163172,0.182846,0.22929,1,1,0,0,0,0 +0.335822,0.162384,0.079365,0.711839,0.365118,0.561398,0.412588,0.66133,0.460056,0.357483,0.524834,0.296646,0.377379,0.311463,0.26321,0.281663,0.173977,0.17485,0.049388,0.207874,0.246208,0.203339,0.111704,0.143713,0.108809,0.223586,0.29645,0.188633,0.354375,0.28972,0.528569,0.423953,0.143352,0.226333,0.098802,0.163978,0.351232,0.266257,0.202769,0.19346,0.177825,0.143182,0.147131,0.105581,0.167156,0.146451,0.25813,0.213847,0.392721,0.273032,0.922467,0.44135,0.563823,0.270903,0.130288,0.129682,0.147489,0.266465,0.192773,0.10338,0.333424,0.392066,0.532198,0.585163,0.032402,0.968254,0,0.917293,0.172777,0.148325,0.184223,0,1,1,0,0,0 +0.134668,0.023679,0.051057,0.452106,0.601682,0.704347,0.517449,0.667186,0.434881,0.529224,0.600888,0.327304,0.518655,0.516706,0.302514,0.666874,0.074015,0.051263,0.035921,0.136179,0.211175,0.250487,0.324242,0.350462,0.404371,0.501827,0.409995,0.255415,0.49468,0.301821,0.410091,0.253544,0.076416,0.084077,0.144065,0.353927,0.544899,0.368086,0.585693,0.704805,0.652798,0.467445,0.397242,0.190284,0.549447,0.281728,0.311716,0.230306,0.45875,0.293847,0.924166,0.544899,0.614444,0.440837,0.520412,0.572546,0.702428,0.711254,0.448938,0.269286,0.685639,0.334414,0.25094,0.254852,0.016321,0.142857,0,0.593985,0.056573,0.018668,0.030318,0,0,0,1,1,0 +0.497719,0.265469,0.296494,0.101534,0.299624,0.60067,0.495526,0.719816,0.418273,0.803237,0.626049,0.567001,0.816851,0.527192,0.463439,0.673417,0.648993,0.493304,0.196121,0.376464,0.444329,0.527225,0.529732,0.405502,0.570644,0.660605,0.618655,0.3579,0.497173,0.480208,0.433138,0.305494,0.144419,0.169388,0.000881,0.281061,0.206838,0.190463,0.294202,0.260534,0.300921,0.243856,0.178244,0.156483,0.180964,0.105981,0.154652,0.09954,0.313197,0.106197,0.858829,0.581838,0.26878,0.259038,0.292605,0.24349,0.4323,0.476522,0.234236,0.228157,0.401564,0.239693,0.13619,0.258842,0.1756,0.031746,0.096293,0.43609,0.272677,0.070782,0.262366,0,1,1,0,0,0 +0.202942,0.183536,0.034836,0.310933,0.440012,0.624974,0.649808,0.495459,0.24645,0.598749,0.543027,0.29476,0.014565,0.592587,0.542015,0.263759,0.092655,0.217596,0.024886,0.118116,0.168749,0.02523,0.086308,0.060491,0.030693,0.115229,0.124337,0.072717,0.278187,0.23809,0.266435,0.316411,0.341465,0.766056,0.13931,0.340163,0.482588,0.215465,0.586705,0.360166,0.543083,0.306824,0.433855,0.291985,0.71277,0.60842,0.423883,0.448378,0.385395,0.783768,0.937233,0.76757,0.319687,0.15736,0.331732,0.235711,0.539951,0.559856,0.452804,0.211722,0.566006,0.494589,0.401732,0.704047,0.027771,0.079365,0,0.503759,0.078987,0.055304,0.086738,0,0,0,1,1,0 +0.442679,0.331386,0.089249,0.777229,0.169083,0.43807,0.443036,0.449248,0.461741,0.52678,0.67873,0.586617,0.952998,0.473921,0.367985,0.522894,0.252562,0.252068,0.042831,0.091192,0.09642,0.204418,0.19234,0.208833,0.16487,0.335541,0.292417,0.239459,0.353859,0.26434,0.25204,0.205154,0.135632,0.230002,0.088529,0.090799,0.141712,0.292978,0.252208,0.317283,0.2699,0.182212,0.147602,0.152996,0.24247,0.166704,0.119462,0.098616,0.239566,0.194684,0.936754,0.474855,0.304031,0.362414,0.298105,0.257397,0.151355,0.345959,0.176584,0.164238,0.35803,0.148978,0.131521,0.109754,0.15305,0.507937,0.013781,0.481203,0.32444,0.102533,0.229085,1,0,0,0,0,1 +0.131893,0.045767,0.099923,0.581662,0.548573,0.452879,0.55203,0.521448,0.4389,0.700631,0.684924,0.479633,0.567881,0.181167,0.365051,0.519963,0.067259,0.088243,0.087047,0.23102,0.24947,0.293764,0.159421,0.18039,0.159708,0.134988,0.127172,0.097445,0.169212,0.213534,0.204891,0.103904,0.075274,0.135056,0.167195,0.244155,0.35317,0.288476,0.148504,0.257801,0.266024,0.173188,0.065021,0.07962,0.111593,0.16345,0.137789,0.095115,0.339491,0.332479,0.898685,0.466986,0.44317,0.306046,0.168196,0.300815,0.354465,0.324746,0.164912,0.134505,0.252239,0.178286,0.135857,0.122745,0.043201,0.349206,0.101675,0.330827,0.113392,0.015341,0.142418,0,0,1,0,0,0 +0.279217,0.112391,0.119036,0.720594,0.470492,0.367552,0.429151,0.31619,0.399807,0.206742,0.498079,0.255685,0.699577,0.357553,0.391464,0.384455,0.100965,0.082058,0.042324,0.098414,0.111297,0.201263,0.187895,0.182433,0.311718,0.362002,0.362737,0.442219,0.639738,0.532182,0.705717,0.569565,0.065664,0.10186,0.067864,0.036535,0.157051,0.152699,0.163556,0.179289,0.275781,0.173742,0.112222,0.191193,0.353087,0.231959,0.322865,0.20407,0.294247,0.211568,0.913451,0.525443,0.238296,0.215823,0.129435,0.149458,0.244855,0.224167,0.15698,0.43101,0.55563,0.410618,0.281511,0.494086,0.018506,0.492063,0.16434,0.466165,0.039437,0.312022,0.343872,1,0,0,0,0,0 +0.192942,0.095426,0.125926,0.692368,0.376237,0.538477,0.594044,0.585846,0.52909,0.644052,0.562908,0.361271,0.335743,0.405029,0.450862,0.25788,0.151727,0.174504,0.079962,0.10269,0.216099,0.166319,0.41538,0.283954,0.227314,0.312041,0.385711,0.206565,0.335031,0.294509,0.31832,0.218535,0.083958,0.183793,0.047258,0.189489,0.296314,0.227639,0.390359,0.353402,0.20879,0.165417,0.196971,0.091331,0.244567,0.13992,0.157944,0.145172,0.417253,0.291594,0.896724,0.448601,0.359545,0.252589,0.498163,0.337487,0.309717,0.279244,0.241233,0.168836,0.181007,0.181791,0.089875,0.133208,0.00979,0.079365,0.023834,0.075188,0.021207,0.047224,0.029273,0,0,1,1,0,0 +0.255417,0.162533,0.212464,0.670984,0.433347,0.503385,0.446738,0.452915,0.40259,0.652183,0.486323,0.297805,0.675312,0.368208,0.292122,0.387065,0.24253,0.342138,0.21379,0.348961,0.351737,0.60343,0.538781,0.614295,0.439006,0.743204,0.665233,0.35983,0.581273,0.402166,0.345683,0.238179,0.058421,0.157021,0.1207,0.131741,0.185536,0.316393,0.23038,0.243974,0.219073,0.183767,0.097069,0.062663,0.122081,0.116583,0.086588,0.082784,0.274747,0.329422,0.888187,0.370811,0.256372,0.581973,0.357693,0.440278,0.388682,0.496874,0.325344,0.175412,0.254084,0.114536,0.089681,0.120697,0.090233,0.555556,0.009178,0.526316,0.160589,0.014767,0.086383,0,0,0,0,0,1 +0.077377,0.342643,0.30474,0.562651,0.71749,0.464444,0.349663,0.447284,0.235869,0.340047,0.475702,0.265823,0.39989,0.342956,0.317821,0.322126,0.115227,0.788168,0.41056,0.375509,0.679396,0.528124,0.343608,0.406385,0.463492,0.447051,0.389051,0.185304,0.234073,0.17451,0.236608,0.122722,0.074675,0.313127,0.293472,0.145047,0.449338,0.287976,0.320844,0.401054,0.235346,0.097301,0.096177,0.09208,0.138412,0.133446,0.141078,0.071095,0.31887,0.468209,0.743357,0.41177,0.517738,0.382499,0.247271,0.288641,0.399826,0.277113,0.104699,0.094009,0.121014,0.052328,0.055939,0.026079,0.168327,0.238095,0.36067,0.225564,0.358284,0.376697,0.386399,1,0,0,0,0,0 +0.125441,0.040379,0.070622,0.531358,0.557173,0.43673,0.602715,0.426855,0.950117,0.383802,0.783735,0.185537,1,0.379191,0.564556,0.439409,0.076083,0.089713,0.077894,0.169876,0.185255,0.233056,0.366664,0.320014,0.262554,0.524437,0.404146,0.319686,0.322265,0.380811,0.527138,0.224551,0.033885,0.164596,0.21052,0.495665,0.294104,0.344896,0.695746,0.62325,0.576666,0.608506,0.293703,0.364805,0.375788,0.347898,0.369577,0.293374,0.379831,0.337489,0.942025,0.544445,0.55833,0.451578,0.53351,0.565316,0.496747,0.897658,0.369025,0.457183,0.385781,0.330205,0.348889,0.252024,0.012837,0.253968,0.008672,0.75188,0.050345,0.028316,0.050767,0,0,0,1,1,0 +0.237637,0.102492,0.112597,0.323889,0.614334,0.236746,0.517146,0.451086,0.452691,0.329034,0.520702,0.435857,0.744187,0.53102,0.380762,0.366786,0.078145,0.061458,0.037198,0.106763,0.101917,0.117394,0.114529,0.164136,0.215011,0.366539,0.35183,0.234225,0.425403,0.362845,0.450185,0.305382,0.075873,0.087751,0.068745,0.405402,0.276305,0.241427,0.202359,0.287613,0.350368,0.194424,0.169205,0.169323,0.319065,0.288758,0.259823,0.166726,0.310442,0.203765,0.921422,0.651854,0.316805,0.251066,0.173956,0.119525,0.377128,0.352432,0.220261,0.313823,0.359376,0.18813,0.184198,0.170374,0.034234,0.603175,0.006698,0.571429,0.195335,0.138573,0.228772,0,1,1,0,0,0 +0.158365,0.162437,0.127056,0.437522,0.44722,0.553101,0.472589,0.628661,0.409199,0.628173,0.58304,0.456185,0.689186,0.583348,0.381322,0.479901,0.220144,0.473322,0.064966,0.185196,0.257067,0.31076,0.341645,0.242785,0.306579,0.459336,0.406011,0.309055,0.368134,0.463868,0.436599,0.268696,0.125123,0.243363,0.066866,0.222647,0.222528,0.26066,0.342948,0.322202,0.323041,0.246229,0.189369,0.179221,0.21241,0.23806,0.238818,0.111319,0.661097,0.51056,0.902082,0.546727,0.383536,0.366574,0.355328,0.249139,0.3639,0.611347,0.230903,0.266125,0.200807,0.338524,0.194586,0.257347,0.202717,0.460317,0.146208,0.43609,0.40911,0.093623,0.409121,0,0,1,1,0,0 +0.259931,0.127215,0.034882,0.545294,0.416545,0.65104,0.423702,0.503421,0.479278,0.449136,0.490231,0.298565,0.373505,0.312305,0.39431,0.363872,0.126628,0.195728,0.046802,0.211784,0.22594,0.310741,0.185748,0.161939,0.154403,0.371317,0.282535,0.155296,0.304639,0.310183,0.420885,0.307152,0.132862,0.260143,0.10479,0.197325,0.326192,0.279634,0.185152,0.30629,0.229575,0.233904,0.123409,0.142199,0.152038,0.211445,0.230325,0.155573,0.321202,0.363056,0.936493,0.563622,0.34144,0.369173,0.361425,0.218033,0.351268,0.56109,0.247174,0.230397,0.404234,0.347754,0.413194,0.542545,0.08724,0.968254,0,0.917293,0.238567,0.268322,0.275728,0,1,1,0,0,0 +0.342032,0.22127,0.254586,0.702312,0.328273,0.500299,0.384136,0.454566,0.261737,0.590559,0.415451,0.56678,0.672742,0.45085,0.491245,0.382852,0.383215,0.432808,0.151662,0.270958,0.302585,0.522734,0.475511,0.535784,0.442069,0.502178,0.610538,0.256851,0.442504,0.348445,0.448317,0.295222,0.268765,0.29668,0.057004,0.154733,0.243914,0.382189,0.399242,0.563526,0.259624,0.259939,0.291108,0.099942,0.278413,0.156362,0.145565,0.087659,0.76732,0.43782,0.877559,0.455723,0.433139,0.582271,0.42251,0.581368,0.479641,0.427733,0.488496,0.146469,0.269242,0.266992,0.143948,0.167731,0.212283,0.555556,0.552475,0.526316,0.565439,0.113193,0.690796,1,0,0,0,1,1 +0.407044,0.260188,0.095597,0.922445,0.288647,0.401213,0.512807,0.472319,0.284304,0.658208,0.467837,0.45913,0.522873,0.450144,0.342185,0.315048,0.176652,0.176113,0.060852,0.087079,0.072333,0.255854,0.311893,0.227731,0.314434,0.373448,0.413743,0.200778,0.261262,0.257439,0.30969,0.185643,0.114221,0.187878,0.215921,0.06378,0.129338,0.184599,0.300769,0.207825,0.397943,0.184209,0.18272,0.121201,0.09512,0.06555,0.114465,0.092094,0.269753,0.218197,0.927781,0.430752,0.146261,0.425782,0.357038,0.346089,0.272173,0.416988,0.29509,0.24328,0.170617,0.078789,0.07186,0.08254,0.04958,0.253968,0.051107,0.240602,0.119381,0.158424,0.156817,1,1,0,0,0,1 +0.428716,0.218094,0.097585,0.606379,0.500672,0.222337,0.562604,0.348324,0.446765,0.17674,0.70276,0.391428,0.746878,0.334633,0.453319,0.333171,0.249156,0.207331,0.076442,0.180039,0.211416,0.37497,0.283961,0.31109,0.346572,0.422963,0.359312,0.237588,0.276822,0.259651,0.388754,0.203035,0.176272,0.221855,0.103734,0.200746,0.223767,0.257571,0.332976,0.360465,0.406527,0.231651,0.220204,0.107919,0.104573,0.126618,0.17889,0.10392,0.615798,0.418524,0.91981,0.448883,0.355736,0.665619,0.371085,0.346236,0.548195,0.348961,0.29342,0.185675,0.233575,0.177245,0.260285,0.164529,0.044923,0.253968,0.024019,0.240602,0.168629,0.178847,0.191396,0,0,0,0,1,0 +0.251918,0.154155,0.076767,0.796864,0.347721,0.49322,0.53786,0.550606,0.344742,0.571282,0.612945,0.409112,0.422188,0.353197,0.420987,0.269359,0.111939,0.165316,0.052963,0.108502,0.105402,0.17284,0.20576,0.165768,0.22934,0.329078,0.290228,0.175417,0.225985,0.196057,0.321696,0.161688,0.059824,0.175271,0.072796,0.150861,0.28886,0.185496,0.218703,0.279542,0.184035,0.20213,0.131463,0.120238,0.10991,0.145673,0.129501,0.08277,0.292081,0.267353,0.932529,0.425041,0.284215,0.246407,0.229311,0.150378,0.341358,0.328061,0.24064,0.137333,0.111579,0.127912,0.09543,0.11868,0.071203,0.253968,0.222523,0.240602,0.141956,0.479524,0.330199,0,1,0,0,0,0 +0.711189,0.408093,0.055813,0.988119,0.21944,0.258998,0.343164,0.39356,0.392756,0.463592,0.622137,0.377511,0.532209,0.281658,0.184799,0.209175,0.169778,0.117338,0.031025,0.017266,0.068981,0.027754,0.008685,0.073271,0.127694,0.205339,0.195392,0.117687,0.244901,0.197791,0.336404,0.177046,0.139262,0.134922,0.104145,0.027447,0.101375,0.111457,0.087992,0.154555,0.161647,0.123939,0.090092,0.078246,0.168546,0.167582,0.210696,0.099873,0.243863,0.168466,0.943636,0.391155,0.179273,0.047338,0.128136,0.075449,0.105882,0.189907,0.088581,0.076776,0.154457,0.082565,0.062307,0.125227,0.052557,0.666667,0.018294,0.631579,0.103548,0.199134,0.249283,1,1,0,0,0,1 +0.104627,0.098959,0.230006,0.436086,0.513851,0.766351,0.608182,0.70448,0.550851,0.576225,0.552997,0.31468,0.743379,0.616432,0.534664,0.533167,0.124176,0.344671,0.247852,0.576996,0.374121,0.391468,0.481118,0.529851,0.494991,0.561032,0.480823,0.282238,0.383459,0.309879,0.359145,0.292942,0.050616,0.293324,0.133439,0.349742,0.330877,0.411285,0.218017,0.239401,0.257268,0.287188,0.327117,0.182445,0.146327,0.127951,0.144234,0.068125,0.384936,0.673763,0.816055,0.32964,0.26649,0.350019,0.294787,0.251121,0.338692,0.451635,0.324065,0.192492,0.226391,0.161323,0.198073,0.154275,0.168861,0.571429,0.321701,0.541353,0.364566,0.0551,0.428989,0,1,1,0,0,0 +0.309782,0.15039,0.11463,0.62198,0.497058,0.332888,0.480682,0.422122,0.430311,0.295443,0.458382,0.259659,0.449852,0.414847,0.325234,0.06966,0.084573,0.082657,0.026383,0.108643,0.104152,0.095434,0.081113,0.151847,0.204387,0.345656,0.367019,0.253219,0.375039,0.385044,0.398869,0.269785,0.069088,0.134145,0.158272,0.366447,0.283822,0.251511,0.257149,0.247644,0.292345,0.281327,0.285177,0.146708,0.367617,0.238148,0.190004,0.139761,0.330236,0.272188,0.918242,0.622165,0.344467,0.206847,0.127527,0.106394,0.170265,0.252313,0.14857,0.179743,0.200581,0.15586,0.099598,0.133109,0.024692,0.380952,0,0.932331,0.235044,0.117735,0.179242,1,1,0,0,0,0 +0.211472,0.2408,0.230356,0.697833,0.292508,0.510475,0.380328,0.602973,0.423519,0.511389,0.597949,0.338659,0.755104,0.439784,0.440448,0.521484,0.25525,0.535803,0.127028,0.247775,0.31151,0.39947,0.408759,0.40878,0.38773,0.623536,0.516247,0.257018,0.452233,0.323296,0.389514,0.269565,0.091351,0.232521,0.094869,0.148057,0.109467,0.130171,0.212168,0.25367,0.144897,0.155633,0.128642,0.050087,0.120289,0.076114,0.09155,0.054465,0.27471,0.331435,0.893763,0.336364,0.175055,0.274228,0.239344,0.289847,0.318259,0.392479,0.17286,0.120203,0.214746,0.137633,0.107778,0.148052,0.063356,0.15873,0.002463,0.616541,0.163075,0.027203,0.117771,0,0,0,0,0,1 +0.560037,0.370393,0.072813,0.69522,0.199424,0.501049,0.437355,0.480378,0.473331,0.362984,0.483044,0.276928,0.365161,0.534618,0.423489,0.524255,0.231439,0.20388,0.043898,0.151201,0.079318,0.311313,0.093506,0.118623,0.12207,0.327996,0.367882,0.253068,0.449088,0.496185,0.799153,0.521432,0.087926,0.133378,0.12252,0.13463,0.106747,0.265444,0.126455,0.125416,0.105721,0.181369,0.190879,0.151708,0.22728,0.216051,0.458697,0.285473,0.235747,0.177072,0.928522,0.428305,0.098065,0.387594,0.111799,0.127699,0.164531,0.355544,0.334909,0.268951,0.415971,0.537382,0.499276,0.549587,0.042224,0.793651,0,0.75188,0.172635,0.244794,0.28308,0,1,1,0,0,0 +0.327983,0.230685,0.132794,0.903136,0.415985,0.325262,0.731657,0.336866,0.558643,0.349657,0.517238,0.342541,0.158832,0.438234,0.386312,0.308592,0.093317,0.122037,0.101328,0.059937,0.136554,0.224283,0.261886,0.235881,0.228107,0.272311,0.160781,0.125143,0.272953,0.228214,0.297135,0.189824,0.057878,0.078739,0.063109,0.015345,0.101484,0.13575,0.17455,0.153941,0.139157,0.125966,0.082971,0.093277,0.123332,0.084218,0.138895,0.080707,0.267292,0.159026,0.909095,0.390292,0.11903,0.167903,0.118337,0.16561,0.218219,0.291361,0.150635,0.097828,0.142712,0.190028,0.111757,0.162765,0.054646,0.333333,0.166742,0.315789,0.169167,0.248466,0.373473,0,1,0,0,0,0 +0.199713,0.078753,0.078721,0.598285,0.457559,0.613711,0.553324,0.585496,0.572175,0.533125,0.460109,0.314804,0.402613,0.347463,0.403677,0.449506,0.095287,0.110144,0.046703,0.268909,0.266422,0.325072,0.164785,0.175931,0.188888,0.274197,0.297934,0.214865,0.313397,0.299739,0.430726,0.317321,0.110366,0.198373,0.119408,0.382687,0.406032,0.374537,0.255046,0.253103,0.30055,0.266542,0.265779,0.23665,0.192629,0.175783,0.285886,0.161292,0.345789,0.258583,0.918416,0.415217,0.310754,0.391311,0.153741,0.108474,0.294703,0.41522,0.348082,0.243607,0.168522,0.216366,0.206526,0.246101,0.024832,0.698413,0.008367,0.661654,0.064588,0.204568,0.158458,0,0,1,1,1,0 +0.442323,0.307089,0.07967,0.768823,0.22123,0.488646,0.563461,0.666878,0.183229,0.183266,0.680276,0.489994,0.522195,0.436917,0.585434,0.662963,0.281717,0.267131,0.060753,0.096559,0.102471,0.112954,0.193286,0.127676,0.253519,0.231472,0.247291,0.110621,0.241506,0.240158,0.276325,0.169609,0.077174,0.132292,0.097804,0.252124,0.1458,0.120252,0.192084,0.158657,0.293159,0.170206,0.089896,0.070314,0.107575,0.107052,0.195502,0.112775,0.474743,0.279157,0.93279,0.505902,0.482381,0.428258,0.51529,0.117993,0.304876,0.319724,0.285812,0.103649,0.245592,0.132962,0.075675,0.102284,0.166697,0.15873,0.125848,0.150376,0.303176,0.154492,0.241391,0,0,0,0,1,1 +0.570322,0.35505,0.159554,0.852073,0.167745,0.303956,0.500972,0.550382,0.445189,0.338221,0.44644,0.324511,0.735309,0.57342,0.453923,0.621569,0.318428,0.246408,0.063481,0.170451,0.135198,0.280529,0.390018,0.321003,0.413513,0.446874,0.349033,0.211721,0.317715,0.288097,0.370655,0.302738,0.161206,0.13707,0.104673,0.159994,0.135073,0.186378,0.324418,0.479564,0.310322,0.26881,0.113438,0.105325,0.217588,0.149986,0.232382,0.136778,0.363324,0.246415,0.93022,0.338758,0.111123,0.245749,0.311368,0.266924,0.388876,0.422517,0.194361,0.147853,0.220622,0.130522,0.098156,0.18186,0.51811,0.269841,0.61105,0.255639,0.462213,0.603174,0.563731,0,0,0,0,1,1 +1,0.952271,0.219829,0.607213,0.067102,0.626075,0.329288,0.587414,0.407198,0.815181,0.663207,0.604971,0.915999,0.290793,0.404246,0.618058,0.764889,0.654799,0.104805,0.251093,0.228168,0.27819,0.429878,0.348998,0.211708,0.656957,0.385819,0.152638,0.407504,0.368839,0.202253,0.126684,1,0.149692,0.039216,0.271967,0.514389,0.761603,0.386315,0.108727,0.053751,0.183252,0.118984,0.005844,0.108265,0.09102,0.074264,0.005973,0.467913,0.490367,0.900296,0.419917,0.165255,0.340635,0.046177,0.122459,0.047479,0.137182,0.0357,0.032567,0.119296,0.027012,0.055148,0.009503,0.517779,0.222222,0.592723,0.210526,0.608343,0.662842,0.740452,1,1,0,0,0,0 +0.309879,0.148825,0.239563,0.658477,0.469257,0.256401,0.650115,0.396624,0.702864,0.478201,0.576451,0.390927,0.58077,0.474084,0.450186,0.489319,0.284708,0.209626,0.14901,0.363883,0.416221,0.643928,0.456495,0.450441,0.529708,0.543838,0.580224,0.287688,0.452801,0.46902,0.543664,0.249975,0.131954,0.284031,0.14653,0.109957,0.283185,0.371325,0.326428,0.280164,0.243271,0.214166,0.132632,0.101789,0.133146,0.144735,0.148904,0.096339,0.371807,0.244878,0.868412,0.370184,0.29592,0.489717,0.401743,0.34724,0.495608,0.423778,0.258305,0.137383,0.162017,0.297478,0.198267,0.118761,0.023691,0.253968,0.045908,0.240602,0.131646,0.238296,0.191027,0,0,1,0,1,0 +0.141833,0.045985,0.154844,0.635119,0.533301,0.548895,0.567569,0.586112,0.334411,0.592021,0.494034,0.254978,0.508777,0.4272,0.331435,0.580829,0.113419,0.105511,0.119536,0.289733,0.258616,0.479802,0.472956,0.413501,0.48887,0.579122,0.509064,0.300029,0.451109,0.412423,0.448582,0.237979,0.079859,0.116505,0.139486,0.21462,0.282321,0.451026,0.505543,0.401435,0.541887,0.269207,0.214096,0.156437,0.153209,0.148451,0.185096,0.087685,0.325536,0.243905,0.89189,0.4194,0.263531,0.556675,0.44408,0.460991,0.698713,0.504912,0.4989,0.316604,0.273561,0.201064,0.178029,0.161383,0.145527,0.555556,0.045022,0.526316,0.454472,0.00234,0.305129,0,1,1,0,0,0 +0.339213,0.142276,0.111976,0.507768,0.539968,0.331043,0.448442,0.328677,0.155441,0.244194,0.519682,0.233226,0.288585,0.289691,0.24159,0.200729,0.080177,0.074524,0.026493,0.072782,0.119454,0.111389,0.11006,0.145055,0.188619,0.372453,0.491386,0.322566,0.521497,0.473209,0.489978,0.309412,0.067105,0.113857,0.084596,0.465591,0.399202,0.188173,0.21368,0.26037,0.26792,0.267567,0.269715,0.23632,0.358744,0.242294,0.284512,0.193169,0.311875,0.205249,0.938453,0.486146,0.329825,0.185789,0.146814,0.10636,0.115896,0.462241,0.377505,0.289076,0.324928,0.275982,0.191678,0.238725,0.034041,0.238095,0.066152,0.225564,0.189642,0.188189,0.230126,1,1,1,0,0,0 +0.422372,0.136234,0.035232,0.14816,0.677763,0.240192,0.291678,0.592142,0.387728,0.344623,0.441921,0.30426,0.502883,0.457384,0.304114,0.301096,0.070634,0.020244,0.014413,0.025417,0.028566,0.038189,0.06319,0.145948,0.243171,0.294888,0.408708,0.289409,0.47223,0.442633,0.458179,0.18051,0.246119,0.124514,0.218915,0.287787,0.620113,0.451975,0.343234,0.542746,0.885319,0.552237,0.627279,0.433969,0.821482,0.713223,0.75245,0.297874,0.29601,0.211615,0.921901,0.761078,0.35262,0.171578,0.182935,0.248399,0.675351,0.462389,0.699673,0.444194,0.820857,0.597541,0.35341,0.19674,0.024054,0.507937,0,0.481203,0.144279,0.187642,0.219309,0,0,0,1,1,0 +0.364492,0.195719,0.146925,0.6147,0.36814,0.34539,0.195087,0.590983,0.426821,0.421996,0.521662,0.399982,0.625548,0.551498,0.432761,0.471244,0.339501,0.34587,0.114046,0.276286,0.180955,0.316672,0.243049,0.42507,0.409213,0.411578,0.432973,0.302813,0.485492,0.27472,0.369307,0.239877,0.208922,0.196109,0.075203,0.19138,0.153401,0.254233,0.381245,0.527805,0.373113,0.266874,0.198964,0.125729,0.205404,0.113671,0.182004,0.117436,0.390298,0.246146,0.893675,0.570288,0.284774,0.318686,0.206006,0.529288,0.374168,0.314936,0.271762,0.215937,0.325381,0.115967,0.101022,0.195991,0.029803,0.349206,0.079467,0.330827,0.063611,0.083126,0.114458,0,0,1,0,0,0 +0.165471,0.049576,0.129586,0.564841,0.655588,0.406044,0.52904,0.553607,0.640757,0.590217,0.633966,0.351019,0.91188,0.323635,0.364442,0.888329,0.107189,0.101184,0.088412,0.20791,0.34448,0.419849,0.460065,0.287675,0.416315,0.674227,0.528402,0.344311,0.493619,0.412638,0.448594,0.334447,0.07766,0.107688,0.133674,0.239793,0.300316,0.262577,0.327312,0.361251,0.388486,0.321127,0.226937,0.192354,0.275769,0.243421,0.234665,0.139675,0.397477,0.289377,0.904608,0.53809,0.586812,0.663433,0.486182,0.341723,0.505747,0.777228,0.405951,0.279124,0.438072,0.296226,0.162079,0.392692,0.04415,0.968254,0,0.917293,0.085735,0.195064,0.168611,0,0,0,1,1,0 +0.135532,0.045646,0.096512,0.644444,0.593396,0.458787,0.606483,0.434463,0.320588,0.616176,0.563299,0.293135,0.603675,0.515693,0.252431,0.622378,0.076857,0.078508,0.067299,0.114915,0.23137,0.185519,0.371293,0.34608,0.447189,0.513151,0.376288,0.232736,0.354894,0.34137,0.382785,0.192365,0.033632,0.071354,0.102736,0.102138,0.244525,0.124291,0.367394,0.359287,0.496507,0.279287,0.260108,0.173607,0.205557,0.166536,0.196571,0.131139,0.345679,0.26354,0.89642,0.504724,0.372211,0.143994,0.3828,0.295381,0.779931,0.654851,0.341306,0.203299,0.309087,0.274025,0.117781,0.137772,0.226337,0.888889,0,0.842105,0.092761,0.310559,0.202063,0,0,1,1,1,0 +0.610358,0.459855,0.206454,0.747435,0.273254,0.654344,0.320919,0.484743,0.279642,0.57352,0.567413,0.220246,0.197535,0.712982,0.452559,0.331858,0.588416,0.619327,0.124905,0.272972,0.264041,0.537702,0.542887,0.743795,0.474012,0.859308,0.642667,0.361108,0.662292,0.628768,0.801954,0.403657,0.383912,0.27574,0.179112,0.059192,0.097046,0.288332,0.222581,0.510275,0.231176,0.264148,0.111228,0.121891,0.244588,0.126528,0.181082,0.120631,0.535429,0.169105,0.881784,0.3933,0.302748,0.407232,0.294406,0.424192,0.320175,0.471352,0.28564,0.177868,0.393103,0.212529,0.175592,0.180568,0.122426,0.619048,0.003808,0.586466,0.228276,0.416029,0.354953,0,0,1,0,1,1 +0.61248,0.495189,0.201315,0.834118,0.262959,0.584881,0.320094,0.540673,0.405576,0.568566,0.572371,0.380759,0.633323,0.290976,0.447562,0.397445,0.543748,0.538121,0.106411,0.164598,0.257465,0.309945,0.489082,0.259079,0.235316,0.472666,0.349859,0.203326,0.34905,0.261935,0.301951,0.1413,0.281351,0.377198,0.095985,0.079838,0.234594,0.179507,0.1984,0.174193,0.123921,0.116411,0.053415,0.101679,0.079463,0.0673,0.073799,0.050255,0.403206,0.2236,0.899077,0.365663,0.166154,0.322861,0.335496,0.151071,0.158806,0.274484,0.110872,0.104095,0.174755,0.062025,0.082691,0.04783,0.10397,0.301587,0.125707,0.285714,0.243959,0.091085,0.250971,1,0,0,0,0,1 +0.120976,0.003173,0.064612,0.256114,0.838082,0.695995,0.515316,1,0.853415,0.675312,0.421978,0.224703,0.470484,0.506829,0.401574,0.269217,0.011042,0,0.119976,0.210775,0.136111,0.291109,0.049645,0.248938,0.112926,0.19181,0.254501,0.098153,0.496299,0.27708,0.395493,0.147803,0.06936,0.125286,0.289186,0.39715,0.366091,0.444694,0.326509,0.42295,0.364646,0.392313,0.298761,0.217767,0.443055,0.371482,0.418743,0.228728,0.363067,0.259087,0.923251,0.640329,0.478558,0.408364,0.187,0.482571,0.707873,0.640976,0.450467,0.352649,0.677741,0.481784,0.347333,0.380998,0.007549,0.142857,0.009946,0.135338,0.05023,0.055025,0.061573,0,0,1,1,1,0 +0.514629,0.316732,0.230515,0.11441,0.324365,0.456042,0.469707,0.613943,0.392946,0.532202,0.673769,0.431509,0.958695,0.551628,0.527559,0.587173,0.430732,0.427451,0.136897,0.33118,0.353618,0.403254,0.409542,0.380071,0.375698,0.534901,0.386955,0.352616,0.445241,0.401903,0.514722,0.326271,0.220581,0.345514,0,0.239649,0.241675,0.148823,0.198436,0.239063,0.249514,0.254154,0.191765,0.106895,0.139091,0.122239,0.207094,0.128817,0.507648,0.37825,0.865581,0.608247,0.307949,0.294656,0.272438,0.205228,0.361415,0.328309,0.173825,0.187775,0.183765,0.179591,0.165085,0.183175,0.389481,0.253968,0.55033,0.240602,0.407188,0.607804,0.527031,0,0,1,1,0,0 +0.142923,0.047398,0.13189,0.529057,0.619697,0.624852,0.504268,0.796049,0.47187,0.684702,0.532664,0.279298,0.616948,0.500848,0.213425,0.473691,0.136598,0.158295,0.099931,0.140653,0.299573,0.272968,0.35293,0.303365,0.320858,0.670503,0.278529,0.256816,0.412425,0.29104,0.407209,0.27003,0.085165,0.163352,0.210638,0.142685,0.278826,0.250203,0.304168,0.330879,0.524034,0.363453,0.176626,0.140237,0.212894,0.140143,0.218905,0.127986,0.525367,0.454868,0.895766,0.71059,0.504017,0.450615,0.402069,0.332481,0.446602,0.639921,0.251689,0.233959,0.379429,0.228089,0.167256,0.234542,0.007485,0.555556,0,0.526316,0.059319,0.115171,0.088455,0,0,1,1,1,0 +0.114675,0.023556,0.078269,0.427894,0.70098,0.718364,0.610962,0.472947,0.495295,0.475219,0.582164,0.437995,0.552003,0.404174,0.438705,0.325055,0.063054,0.066733,0.067409,0.142066,0.2324,0.272775,0.41705,0.324723,0.285096,0.47154,0.338745,0.282751,0.347608,0.367925,0.348582,0.229055,0.051234,0.091004,0.199366,0.33696,0.385274,0.259054,0.628812,0.436774,0.352216,0.347088,0.161482,0.188453,0.252475,0.182384,0.266382,0.175272,0.3952,0.338034,0.916674,0.555785,0.470261,0.563208,0.705726,0.493945,0.564491,0.749114,0.342826,0.261115,0.258315,0.258086,0.166912,0.157654,0.032607,0.412698,0.154275,0.390977,0.160874,0.053901,0.246898,0,0,1,1,1,0 +0.449865,0.268992,0.065414,0.872556,0.281334,0.405805,0.545739,0.456479,0.33685,0.655375,0.593103,0.39461,0.662881,0.680184,0.338602,0.579996,0.189248,0.146762,0.038859,0.11692,0.120471,0.25444,0.422219,0.336524,0.322195,0.491177,0.409368,0.264865,0.459752,0.3859,0.44015,0.2883,0.07708,0.083324,0.046084,0.012131,0.101355,0.130774,0.18219,0.233972,0.180605,0.181111,0.126799,0.109188,0.113464,0.112167,0.1367,0.066864,0.278236,0.176779,0.948166,0.505236,0.296969,0.28054,0.233038,0.227818,0.260766,0.290564,0.163369,0.162165,0.24395,0.130969,0.117854,0.105284,0.040328,0.015873,0.245257,0.015038,0.123893,0.27219,0.21601,1,0,0,0,0,1 +0.23585,0.157011,0.231961,0.48222,0.413316,0.590572,0.594021,0.347809,0.418501,0.648248,0.463754,0.445974,0.785666,0.533932,0.203889,0.566683,0.253807,0.370908,0.207244,0.339888,0.306124,0.522998,0.63168,0.569782,0.360042,0.558974,0.46,0.280296,0.349975,0.222965,0.410603,0.23556,0.09966,0.14293,0.109076,0.23081,0.165081,0.349171,0.629218,0.3615,0.319121,0.26567,0.188772,0.219451,0.145195,0.101009,0.222128,0.085895,0.352931,0.308508,0.846894,0.444652,0.273847,0.466313,0.459009,0.491296,0.355919,0.54343,0.227776,0.258709,0.219559,0.106457,0.132851,0.103985,0.228845,0.349206,0.028019,0.330827,0.25485,0.059724,0.208108,0,0,1,1,0,0 +0.27771,0.143388,0.082426,0.570862,0.507544,0.314299,0.532558,0.451664,0.420468,0.424654,0.559058,0.335306,0.510319,0.328701,0.296939,0.253013,0.085422,0.074489,0.041466,0.069153,0.08465,0.058673,0.059517,0.149142,0.162374,0.233419,0.28829,0.188359,0.338754,0.336389,0.390699,0.258074,0.048221,0.065753,0.12751,0.089905,0.185465,0.085849,0.148488,0.160821,0.206022,0.141676,0.230258,0.168704,0.303058,0.217072,0.244567,0.067839,0.302785,0.200585,0.917066,0.551269,0.3179,0.204591,0.092917,0.10673,0.147662,0.173159,0.155563,0.254386,0.298926,0.178989,0.166415,0.095197,0.02787,0.492063,0.064301,0.466165,0.129893,0.098826,0.193627,1,1,0,0,0,0 +0.186231,0.062455,0.111716,0.6241,0.585783,0.372591,0.478296,0.41172,0.52738,0.531952,0.376029,0.386859,0.468029,0.522949,0.39632,0.317486,0.097851,0.08039,0.077289,0.18831,0.172304,0.381378,0.220346,0.221344,0.245507,0.292063,0.293982,0.160894,0.387334,0.378287,0.482404,0.344214,0.080804,0.091065,0.039803,0.17199,0.206189,0.334227,0.208282,0.24093,0.254317,0.207075,0.185846,0.135287,0.151105,0.248557,0.359968,0.204459,0.331246,0.257527,0.902082,0.476602,0.418772,0.375091,0.248859,0.143035,0.273947,0.370768,0.231399,0.157883,0.31715,0.479918,0.316946,0.429461,0.019768,0.650794,0.024549,0.616541,0.116231,0.137141,0.171264,0,0,1,0,0,0 +0.134625,0.217488,0.130964,0.494635,0.387225,0.492904,0.640151,0.639404,0.610109,0.507586,0.614567,0.304196,0.604671,0.418879,0.246948,0.210869,0.140518,0.458505,0.122496,0.183094,0.131121,0.249093,0.235078,0.237275,0.180799,0.250381,0.301238,0.145183,0.239146,0.249154,0.318656,0.211725,0.106903,0.606498,0.102736,0.201256,0.275327,0.430842,0.217702,0.355159,0.190095,0.217312,0.163833,0.114405,0.141149,0.172313,0.216125,0.198243,0.409559,0.747583,0.888666,0.461309,0.15075,0.256024,0.218044,0.278828,0.205867,0.215241,0.2436,0.149926,0.138025,0.151759,0.160568,0.203931,0.213752,0.603175,0.054268,0.571429,0.521972,0.110931,0.417438,0,0,1,1,0,0 +0.342134,0.209824,0.083036,0.851231,0.351253,0.429197,0.417851,0.377439,0.272789,0.27297,0.485788,0.346716,0.790035,0.298644,0.360151,0.383256,0.151002,0.151049,0.041202,0.074516,0.033732,0.029573,0.042614,0.135173,0.052736,0.165891,0.127559,0.073217,0.235339,0.18351,0.198504,0.155562,0.015244,0.057675,0.070271,0.052241,0.119479,0.108827,0.245704,0.255318,0.270006,0.209374,0.266726,0.155229,0.14295,0.108154,0.12784,0.093814,0.282037,0.199113,0.931222,0.450449,0.134173,0.108034,0.151706,0.11122,0.152257,0.154137,0.12784,0.087184,0.156667,0.077875,0.081376,0.118464,0.418254,0.253968,0.606084,0.240602,0.597883,1,0.841726,0,0,0,0,1,1 +0.875898,0.51578,0.122504,0.616153,0.291413,0.406682,0.305207,0.474387,0.264788,0.370269,0.410532,0.429461,0.960381,0.52952,0.420545,0.580166,0.433723,0.416103,0.071238,0.133289,0.149812,0.101498,0.099177,0.13629,0.14829,0.33111,0.260745,0.283317,0.424062,0.434871,0.470121,0.338054,0.260127,0.265661,0.092286,0.195885,0.298469,0.118598,0.123113,0.169535,0.153045,0.137183,0.121192,0.131046,0.244203,0.209523,0.22567,0.124862,0.302455,0.176081,0.907396,0.477735,0.155471,0.093169,0.051353,0.102468,0.131246,0.244754,0.133179,0.238595,0.365682,0.267982,0.247357,0.331198,0.075038,0.126984,0.215206,0.120301,0.280836,0.373895,0.370673,1,1,1,0,0,0 +0.184163,0.067275,0.087046,0.541691,0.54438,0.484829,0.421426,0.593958,0.430124,0.263406,0.629193,0.454326,0.948986,0.493723,0.331683,0.222297,0.083564,0.081422,0.047946,0.069485,0.127502,0.113559,0.169997,0.250845,0.211118,0.360889,0.307513,0.17291,0.294646,0.308081,0.303909,0.258645,0.183525,0.215542,0.113185,0.26319,0.242054,0.15207,0.209655,0.429553,0.35159,0.197209,0.201604,0.098152,0.179074,0.225494,0.178702,0.193983,0.390647,0.311998,0.929959,0.491108,0.404673,0.186866,0.288293,0.278203,0.342031,0.329405,0.256464,0.145143,0.143572,0.203309,0.083877,0.147789,0.015967,0.111111,0.04826,0.105263,0.074391,0.117374,0.11818,0,0,1,1,1,0 +0.559346,0.446076,0.307643,0.635071,0.177972,0.658219,0.529085,0.672274,0.359632,0.335105,0.536489,0.457141,0.303169,0.422345,0.382114,0.312628,0.555316,0.549975,0.172357,0.402668,0.350937,0.446172,0.703379,0.659352,0.566195,0.944409,0.59183,0.344774,0.606445,0.470225,0.582866,0.324261,0.204963,0.162447,0.086357,0.109775,0.151049,0.150907,0.260218,0.373961,0.174315,0.183261,0.103572,0.066581,0.125039,0.083689,0.084516,0.05377,0.439636,0.198333,0.861051,0.397523,0.355011,0.326773,0.382588,0.648506,0.371783,0.64081,0.355665,0.210876,0.312117,0.162187,0.152321,0.145806,0.423587,0.793651,0,0.75188,0.024266,0.452056,0.258791,1,1,0,0,0,0 +0.237621,0.092345,0.106418,0.367348,0.742304,0.33316,0.431726,0.471343,0.37369,0.302135,0.44453,0.369822,0.540099,0.364083,0.335377,0.344071,0.066212,0.041964,0.042798,0.157162,0.1457,0.146432,0.065773,0.121788,0.088694,0.22676,0.234602,0.165693,0.262979,0.222469,0.269364,0.195523,0.114923,0.181579,0.149935,0.78871,0.707725,0.638144,0.204024,0.347459,0.234719,0.153905,0.13362,0.100976,0.133368,0.14185,0.138735,0.154032,0.326674,0.278001,0.9307,0.624403,0.504955,0.354199,0.20578,0.147287,0.150164,0.221939,0.213514,0.239292,0.215981,0.209818,0.117073,0.090866,0.079942,0.968254,0,0.917293,0.121421,0.24546,0.198887,0,0,1,0,0,0 +0.452155,0.303877,0.098748,0.892268,0.2936,0.320887,0.366174,0.454332,0.266214,0.583882,0.57229,0.327312,0.687198,0.459157,0.264883,0.437985,0.2134,0.213907,0.056066,0.133644,0.085673,0.182833,0.1826,0.156807,0.203755,0.367443,0.313053,0.144967,0.277188,0.255421,0.294487,0.185813,0.164173,0.197962,0.120758,0.164479,0.223545,0.175638,0.32013,0.188078,0.27548,0.156054,0.167297,0.08663,0.154485,0.15422,0.114551,0.066219,0.422137,0.381307,0.917719,0.660112,0.426832,0.209953,0.173323,0.169234,0.213865,0.452298,0.215474,0.103506,0.154369,0.117903,0.082287,0.076153,0.04021,0.190476,0.063551,0.180451,0.245019,0.108386,0.195417,1,0,0,0,0,1 +0.227854,0.180877,0.241573,0.629711,0.431332,0.394687,0.379525,0.57996,0.109095,0.606716,0.509101,0.346991,0.672845,0.376202,0.349386,0.360155,0.170032,0.414389,0.136721,0.256476,0.395366,0.48733,0.505873,0.610522,0.630768,0.77805,0.612803,0.344277,0.467201,0.387126,0.478397,0.38815,0.090415,0.156448,0.082658,0.191225,0.18326,0.200003,0.251082,0.497482,0.293211,0.174043,0.147179,0.094208,0.109844,0.103736,0.150091,0.073322,0.257873,0.279198,0.887926,0.395386,0.230381,0.358807,0.266637,0.456572,0.430535,0.491235,0.313165,0.159114,0.232746,0.149842,0.102671,0.17393,0.366393,0.190476,0.174599,0.661654,0.33541,0.045692,0.382602,1,0,0,0,1,1 +0.275437,0.127297,0.131687,0.367866,0.55011,0.235495,0.443867,0.400626,0.501952,0.569125,0.564377,0.254991,0.401128,0.514881,0.431262,0.510394,0.11745,0.079212,0.041092,0.230108,0.165399,0.11624,0.121104,0.158067,0.204785,0.350703,0.289896,0.208146,0.374999,0.394625,0.341379,0.280442,0.044159,0.073194,0.125749,0.696141,0.438966,0.245526,0.260471,0.300109,0.352081,0.317851,0.24942,0.210574,0.207861,0.221915,0.350921,0.183937,0.315088,0.232547,0.928957,0.706828,0.21615,0.16662,0.158293,0.105316,0.201509,0.270534,0.156305,0.117916,0.296725,0.238693,0.104532,0.18532,0.05127,0.047619,0.10858,0.045113,0.24382,0.193564,0.289116,1,1,0,0,0,0 +0.435584,0.223579,0.300492,0.681405,0.387588,0.333257,0.487669,0.647089,0.320352,0.56129,0.60076,0.408897,0.541873,0.687406,0.347071,0.599168,0.744942,0.482015,0.246488,0.330573,0.603285,0.577228,0.820853,0.459204,0.553262,0.617202,0.543548,0.36575,0.40123,0.333645,0.394116,0.286341,0.165127,0.184273,0.017083,0.100495,0.256954,0.222809,0.483913,0.312589,0.311889,0.205195,0.153839,0.1654,0.142171,0.091112,0.20459,0.125789,0.462386,0.171194,0.801681,0.561914,0.343855,0.472145,0.453975,0.295255,0.43428,0.458434,0.259927,0.251824,0.200205,0.119328,0.124952,0.130035,0.002922,0.222222,0.014785,0.706767,0.015841,0.019638,0.025154,0,1,1,0,0,0 +0.159299,0.028234,0.160943,0.286619,0.675222,0.679153,0.50093,0.45794,0.334531,0.384899,0.568516,0.420623,0.131009,0.14229,0.333421,0.462146,0.050718,0.028563,0.173897,0.20876,0.274496,0.188611,0.283668,0.258066,0.190377,0.341124,0.352433,0.250048,0.420046,0.392176,0.468848,0.271442,0.05581,0.076845,0.302747,0.359337,0.339217,0.342199,0.5206,0.578339,0.382633,0.303361,0.290919,0.304234,0.41868,0.490543,0.512283,0.251866,0.40014,0.281803,0.918329,0.677843,0.4127,0.513086,0.650204,0.477858,0.549559,0.423562,0.499489,0.376147,0.883776,0.500954,0.440123,0.464782,0.033836,0.761905,0,0.721805,0.164977,0.218946,0.209952,0,0,1,1,1,0 +0.333722,0.151316,0.110666,0.51842,0.534862,0.222954,0.477172,0.364886,0.465741,0.385903,0.540994,0.304975,0.495628,0.376329,0.304198,0.4076,0.095027,0.069577,0.022114,0.088916,0.085495,0.082441,0.079732,0.174133,0.177497,0.32598,0.338131,0.2299,0.435644,0.353298,0.400449,0.260334,0.049512,0.067537,0.102207,0.389243,0.320901,0.192028,0.19329,0.334015,0.209474,0.240032,0.307388,0.157416,0.319778,0.262411,0.196393,0.144883,0.318062,0.207784,0.928696,0.647265,0.457257,0.193662,0.102738,0.105322,0.150255,0.275285,0.160812,0.135265,0.254007,0.264256,0.11334,0.128833,0.033495,0.190476,0.085886,0.180451,0.244621,0.141457,0.209378,0,1,1,0,0,0 +0.280566,0.224618,0.105695,0.773245,0.278271,0.587531,0.514434,0.449249,0.416739,0.723004,0.418839,0.34645,0.574097,0.558397,0.366626,0.208756,0.225661,0.330297,0.049883,0.149177,0.099945,0.21248,0.223728,0.203967,0.212423,0.356112,0.272143,0.189868,0.244543,0.25585,0.254122,0.217333,0.184264,0.289003,0.143243,0.326286,0.145848,0.264945,0.332237,0.236861,0.149088,0.151228,0.171578,0.114162,0.07034,0.075048,0.120358,0.125694,0.619177,0.540245,0.92042,0.52277,0.287531,0.318313,0.163205,0.203258,0.351734,0.297921,0.172733,0.200241,0.165711,0.115309,0.125783,0.143439,0.009202,0.333333,0.131474,0.315789,0.065737,0.014572,0.101322,1,0,0,0,0,1 +0.091469,0.014038,0.01255,0.448891,0.671297,0.679459,0.461327,0.453914,0.421805,0.387414,0.599077,0.522197,0.520524,0.717433,0.436501,0.425494,0.038277,0.025814,0.052281,0.103791,0.101897,0.13218,0.169578,0.218846,0.216355,0.501167,0.507805,0.280959,0.44571,0.46134,0.431942,0.244984,0.02128,0.119112,0.182517,0.118037,0.301239,0.198255,0.518821,0.658524,0.373024,0.372837,0.341382,0.261145,0.356821,0.315808,0.266522,0.187602,0.365252,0.318,0.928783,0.677065,0.372413,0.225554,0.230585,0.236648,0.340051,0.784142,0.412623,0.281982,0.483068,0.382121,0.221122,0.193904,0.054434,0.555556,0.320396,0.526316,0.145807,0.001478,0.327572,0,0,1,1,1,0 +0.456928,0.25184,0.13433,0.881598,0.242527,0.469451,0.41006,0.58886,0.519185,0.434953,0.619576,0.581887,0.597501,0.046285,0.407416,0.320864,0.281073,0.25167,0.049465,0.135849,0.119918,0.381437,0.324046,0.276293,0.347278,0.477432,0.448799,0.277486,0.468203,0.448168,0.608284,0.460876,0.103291,0.134829,0.098274,0.02561,0.12672,0.134163,0.254672,0.271449,0.225785,0.145899,0.079671,0.080019,0.170735,0.146269,0.182184,0.105799,0.278695,0.184845,0.922293,0.461366,0.273972,0.28388,0.32679,0.209762,0.514569,0.352414,0.294605,0.15876,0.223038,0.221636,0.217792,0.352805,0.020484,0.206349,0.002236,0.195489,0.15716,0.029046,0.086884,1,0,0,0,1,1 +0.134808,0.041087,0.048516,0.405211,0.853718,0.382912,0.285435,0.798884,0.797246,0.26014,0.502335,0.406529,0.764853,0.427172,0.542662,0.61122,0.039101,0.038749,0.050213,0.179873,0.11767,0.38985,0.056912,0.330432,0.28095,0.273886,0.323309,0.123224,0.401836,0.13964,0.391802,0.155027,0.051056,0.07958,0.238523,0.378565,0.343378,0.345126,0.186645,0.977995,0.401698,0.465187,0.320713,0.181259,0.43703,0.236763,0.311344,0.26044,0.336938,0.221506,0.937799,0.624948,0.560884,0.530655,0.163927,0.824464,0.529165,0.486406,0.376208,0.226567,0.324771,0.141902,0.261306,0.172973,0.019139,0.571429,0,0.541353,0.102674,0.137468,0.128768,0,0,1,1,1,0 +0.237972,0.30284,0.28243,0.656205,0.260425,0.618034,0.604051,0.518965,0.475901,0.658213,0.631986,0.513223,0.584601,0.426403,0.411009,0.33125,0.28521,0.585902,0.245332,0.371337,0.338308,0.545407,0.419273,0.376879,0.342988,0.378048,0.466523,0.24924,0.342141,0.326271,0.384217,0.195866,0.059693,0.337583,0.185922,0.173529,0.208705,0.324364,0.260902,0.263298,0.283564,0.179398,0.149353,0.09956,0.157697,0.149961,0.167071,0.073311,0.325224,0.424907,0.857218,0.472395,0.509669,0.463308,0.329696,0.352887,0.328622,0.403444,0.285528,0.15346,0.214239,0.164731,0.10827,0.068455,0.09559,0.507937,0.15695,0.481203,0.304784,0.102068,0.359101,0,1,1,0,0,0 +0.340115,0.155225,0.108587,0.574244,0.573636,0.198662,0.512713,0.437441,0.38829,0.305639,0.497176,0.277949,0.581723,0.418013,0.316509,0.23469,0.081273,0.057166,0.032126,0.099072,0.083239,0.060692,0.068112,0.145098,0.222595,0.306462,0.292738,0.242661,0.387068,0.393662,0.393684,0.239699,0.046443,0.072607,0.107315,0.317136,0.244426,0.144297,0.140506,0.252652,0.208696,0.283005,0.333748,0.23356,0.381763,0.316415,0.275767,0.124532,0.292705,0.214859,0.923425,0.504737,0.261283,0.177387,0.142609,0.077298,0.167279,0.205421,0.167268,0.282384,0.259853,0.24084,0.09369,0.128566,0.033192,0.666667,0.004016,0.631579,0.048647,0.131727,0.121288,0,1,0,0,0,0 diff --git a/bin/test/Music-train.arff b/bin/test/Music-train.arff new file mode 100644 index 00000000..2fd00fce --- /dev/null +++ b/bin/test/Music-train.arff @@ -0,0 +1,573 @@ +@relation 'Music: -C -6' + +@attribute Mean_Acc1298_Mean_Mem40_Centroid numeric +@attribute Mean_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Mean_Mem40_Flux numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Mean_Acc1298_Std_Mem40_Centroid numeric +@attribute Mean_Acc1298_Std_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Std_Mem40_Flux numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Mean_Mem40_Centroid numeric +@attribute Std_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Std_Acc1298_Mean_Mem40_Flux numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Std_Mem40_Centroid numeric +@attribute Std_Acc1298_Std_Mem40_Rolloff numeric +@attribute Std_Acc1298_Std_Mem40_Flux numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute BH_LowPeakAmp numeric +@attribute BH_LowPeakBPM numeric +@attribute BH_HighPeakAmp numeric +@attribute BH_HighPeakBPM numeric +@attribute BHSUM1 numeric +@attribute BHSUM2 numeric +@attribute BHSUM3 numeric +@attribute amazed-suprised {0,1} +@attribute happy-pleased {0,1} +@attribute relaxing-clam {0,1} +@attribute quiet-still {0,1} +@attribute sad-lonely {0,1} +@attribute angry-aggresive {0,1} + +@data + +0.132498,0.077848,0.229227,0.602629,0.512861,0.467404,0.529733,0.573498,0.592831,0.520031,0.598853,0.537699,0.780658,0.462982,0.407108,0.684364,0.135824,0.245631,0.157515,0.301285,0.350107,0.459476,0.583274,0.430053,0.416198,0.581916,0.342758,0.309345,0.388929,0.323521,0.455207,0.26139,0.027559,0.149077,0.195433,0.571354,0.326404,0.246745,0.524645,0.354798,0.240244,0.239788,0.128689,0.173252,0.204863,0.131632,0.245653,0.144607,0.258203,0.470051,0.259909,0.61364,0.458314,0.434716,0.448941,0.370609,0.285647,0.663082,0.29708,0.273671,0.286411,0.197026,0.196244,0.164323,0.030017,0.253968,0.008473,0.240602,0.136735,0.058442,0.107594,0,1,1,0,0,0 +0.384281,0.355249,0.16719,0.853089,0.260577,0.332757,0.15393,0.519381,0.268043,0.251955,0.459922,0.430814,0.654323,0.641021,0.356511,0.647367,0.367659,0.539078,0.100569,0.133502,0.337194,0.319752,0.349012,0.171182,0.191357,0.390569,0.289253,0.208641,0.341328,0.265669,0.273736,0.181791,0.028513,0.252827,0.25819,0.011351,0.236247,0.069285,0.192754,0.154258,0.128671,0.116726,0.059704,0.073697,0.080341,0.062701,0.075672,0.041256,0.207782,0.300735,0.888274,0.444,0.294673,0.210429,0.132036,0.167474,0.205996,0.155514,0.086631,0.071462,0.067492,0.093526,0.085649,0.025101,0.182955,0.285714,0.156764,0.270677,0.191377,0.153728,0.197951,1,0,0,0,0,1 +0.541782,0.356491,0.152246,0.791142,0.228276,0.471278,0.378166,0.559905,0.279949,0.55583,0.521424,0.477018,0.541562,0.383692,0.301562,0.209283,0.46956,0.435643,0.117424,0.233075,0.214409,0.270485,0.448359,0.446847,0.272785,0.62605,0.457692,0.257535,0.486894,0.433737,0.42917,0.250437,0.173474,0.240775,0.16608,0.134165,0.149816,0.312213,0.351309,0.550984,0.24148,0.351404,0.324881,0.102732,0.214608,0.182897,0.131488,0.092507,0.539964,0.291858,0.894329,0.316151,0.345686,0.218272,0.254165,0.392987,0.24341,0.529933,0.27259,0.153845,0.314687,0.198082,0.108067,0.140574,0.099303,0.142857,0,0.593985,0.105114,0.025555,0.122965,0,1,0,0,0,1 +0.174288,0.243935,0.254326,0.438987,0.480346,0.472862,0.473128,0.777076,0.376471,0.650178,0.518224,0.374862,0.717025,0.54805,0.385528,0.545977,0.266415,0.581436,0.213768,0.371697,0.267091,0.518605,0.521327,0.375596,0.516414,0.768118,0.668286,0.48251,0.515023,0.425579,0.448576,0.305121,0.095215,0.406613,0.200305,0.234013,0.173066,0.391382,0.352153,0.333506,0.491522,0.243034,0.189499,0.161029,0.185126,0.252305,0.203846,0.112363,0.440058,0.608967,0.854473,0.47891,0.378549,0.407442,0.393774,0.28408,0.622807,0.461229,0.444935,0.355792,0.298915,0.235793,0.220195,0.235834,0.024988,0.222222,0.117169,0.210526,0.057288,0.134575,0.091509,0,0,1,0,0,0 +0.347436,0.155448,0.100047,0.126026,0.45695,0.539992,0.301537,0.598898,0.36199,0.484839,0.646532,0.520983,0.887006,0.55065,0.373552,0.373699,0.178554,0.150008,0.045284,0.227232,0.18327,0.309233,0.188338,0.302628,0.275626,0.39999,0.478468,0.478095,0.644428,0.705417,0.737404,0.418726,0.340997,0.548333,0.273571,0.535455,0.514268,0.43888,0.367572,0.526058,0.485215,0.456886,0.424624,0.335312,0.485055,0.385908,0.523032,0.340229,0.503828,0.422766,0.918634,0.686384,0.474845,0.366783,0.218394,0.370754,0.481513,0.54268,0.695774,0.783841,0.827826,0.715683,0.573359,0.412368,0.016398,0.761905,0.081703,0.721805,0.108737,0.172882,0.189934,0,0,0,1,0,0 +0.228026,0.109648,0.291862,0.684646,0.544746,0.571375,0.697535,0.484926,0.392855,0.156092,0.47165,0.115674,0.456398,0.268197,0.373789,0.350682,0.335532,0.363227,0.233747,0.275718,0.353079,0.446552,0.443244,0.40885,0.506339,0.567963,0.520552,0.314016,0.400658,0.317602,0.429856,0.266929,0.066131,0.14416,0.129917,0.221325,0.214393,0.334304,0.34572,0.351928,0.381297,0.445787,0.347102,0.249739,0.361601,0.248958,0.233641,0.172891,0.520372,0.348735,0.818843,0.601903,0.359844,0.5236,0.457277,0.314221,0.409973,0.339989,0.347784,0.240174,0.445214,0.141451,0.177711,0.104971,0.1351,0.190476,0.030557,0.180451,0.224878,0.136787,0.179813,0,1,1,0,0,0 +0.290836,0.165289,0.08124,0.710225,0.332875,0.553721,0.535008,0.493221,0.429454,0.573115,0.376511,0.421671,0.33932,0.667374,0.531376,0.359131,0.184783,0.227313,0.050323,0.157977,0.121726,0.335899,0.161888,0.223291,0.173682,0.250552,0.280799,0.14616,0.240121,0.25059,0.392957,0.250815,0.086999,0.159678,0.13837,0.13039,0.088702,0.244132,0.184728,0.223147,0.14272,0.155659,0.105153,0.072708,0.112107,0.136645,0.18976,0.082971,0.281376,0.211844,0.919767,0.403809,0.197824,0.234787,0.216919,0.177096,0.214987,0.282145,0.113921,0.121426,0.121325,0.129027,0.141215,0.213387,0.103267,0.126984,0.203222,0.120301,0.420933,0.237673,0.337537,1,1,0,0,0,0 +0.187613,0.081515,0.304717,0.717048,0.374497,0.513272,0.450436,0.775525,0.580572,0.68887,0.650924,0.261941,0.565849,0.67063,0.481361,0.651704,0.188326,0.247096,0.201391,0.307273,0.326252,0.454876,0.625292,0.682752,0.589456,1,0.595022,0.429585,0.453096,0.334753,0.578032,0.262885,0.101682,0.110955,0.212575,0.095188,0.146704,0.128869,0.254222,0.360815,0.224237,0.20875,0.130517,0.113968,0.122499,0.064759,0.136119,0.069751,0.493197,0.310749,0.843018,0.38899,0.288377,0.317931,0.376866,0.591947,0.28368,0.42341,0.41867,0.194071,0.294834,0.136965,0.110777,0.104363,0.021772,0.015873,0.033895,0.015038,0.132063,0.048698,0.085231,0,0,0,0,0,1 +0.384173,0.39966,0.297172,0.534706,0.196999,0.586783,0.458346,0.654032,0.50683,0.684306,0.670198,0.533105,0.837555,0.640836,0.446854,0.581114,0.497501,0.683232,0.227333,0.356448,0.315684,0.457349,0.36233,0.380779,0.478171,0.4235,0.259095,0.240067,0.376902,0.32364,0.378493,0.248244,0.073159,0.160427,0.196431,0.111981,0.076993,0.157529,0.241754,0.143545,0.177264,0.052576,0.041879,0.04831,0.087681,0.080024,0.115514,0.062976,0.205835,0.086486,0.839359,0.436338,0.125652,0.20377,0.262428,0.221062,0.324308,0.173767,0.161386,0.0943,0.206844,0.069663,0.099462,0.187613,0.487483,0.222222,0.655785,0.210526,0.630079,0.669823,0.678337,1,1,0,0,0,0 +0.159915,0.028334,0.030533,0.372589,0.929686,0.574935,0.323464,0.613698,0.246038,0.23502,0.490703,0.382993,0.363976,0.326837,0.397673,0.512111,0.019922,0.004052,0.029837,0.120147,0.101768,0.134431,0.05249,0.146403,0.02953,0.246712,0.170197,0.119387,0.153447,0.232032,0.228103,0.130665,0.039883,0.091494,0.151755,0.33258,0.367183,0.44326,0.245016,0.433106,0.23823,0.325614,0.257048,0.247743,0.170624,0.232715,0.234859,0.143339,0.356016,0.26977,0.949255,0.612597,0.636548,0.35951,0.262303,0.266203,0.383492,0.561914,0.377058,0.336158,0.427401,0.465477,0.186844,0.135857,0.014226,0.761905,0,0.721805,0.047226,0.076644,0.061252,0,0,1,1,1,0 +0.327076,0.320403,0.195328,0.645573,0.310363,0.521021,0.524004,0.46213,0.257523,0.618649,0.461708,0.494466,0.546751,0.415389,0.453843,0.380831,0.34461,0.474984,0.129746,0.304593,0.176417,0.513664,0.560061,0.49544,0.362039,0.499642,0.439594,0.224951,0.381015,0.253052,0.298783,0.182509,0.177021,0.590147,0.207937,0.215773,0.238673,0.29366,0.668734,0.367411,0.440071,0.220401,0.235775,0.154782,0.202196,0.166708,0.236267,0.081749,0.497071,0.565624,0.89655,0.57434,0.586017,0.582015,0.464527,0.550782,0.396111,0.699786,0.358416,0.190878,0.29552,0.223903,0.123214,0.090412,0.048491,0.460317,0.230324,0.43609,0.16363,0,0.234917,0,1,1,0,0,0 +0.358559,0.205397,0.165055,0.599622,0.342423,0.409525,0.536237,0.511132,0.224877,0.527332,0.829975,0.563493,0.221654,0.273335,0.389333,0.422619,0.260891,0.255638,0.113408,0.233339,0.209443,0.464667,0.521765,0.375699,0.403645,0.432632,0.508297,0.375466,0.415389,0.280459,0.343659,0.260406,0.10928,0.119574,0.146589,0.182269,0.205488,0.388645,0.566144,0.31619,0.316983,0.174037,0.175634,0.13535,0.180161,0.16372,0.255521,0.092723,0.355649,0.292521,0.899599,0.523575,0.236644,0.572918,0.392491,0.289061,0.426562,0.411998,0.383268,0.236672,0.257509,0.118168,0.111609,0.087698,0.201462,0.285714,0.302842,0.270677,0.318752,0.321139,0.384624,0,0,1,0,0,0 +0.553228,0.466543,0.263013,0.604399,0.223839,0.643928,0.373406,0.573937,0.377607,0.549677,0.70413,0.52666,0.815017,0.562355,0.379723,0.453283,0.46546,0.589481,0.148152,0.230786,0.147453,0.417158,0.30475,0.347393,0.397362,0.327574,0.190395,0.175117,0.27828,0.166923,0.292213,0.180362,0.32609,0.256765,0.100329,0.128852,0.204245,0.11529,0.10091,0.256227,0.175242,0.099481,0.050009,0.024596,0.041263,0.020148,0.047026,0.023183,0.319458,0.118922,0.892194,0.420592,0.207561,0.126471,0.099577,0.091672,0.085631,0.132975,0.062767,0.063357,0.062874,0.01585,0.029182,0.046207,0.738147,0.253968,0.776078,0.240602,0.687162,0.787161,0.784246,1,0,0,0,0,0 +0.117628,0.038582,0.195802,0.570704,0.620466,0.512225,0.603206,0.773365,0.788284,0.531317,0.703141,0.205166,0.643069,0.536043,0.385671,0.317748,0.084821,0.097482,0.169771,0.29652,0.481354,0.476942,0.244901,0.392883,0.293353,0.514005,0.446779,0.311777,0.437502,0.298906,0.318858,0.313859,0.138093,0.20525,0.125338,0.263223,0.359982,0.262294,0.295828,0.642855,0.274976,0.226622,0.195689,0.149072,0.164013,0.143921,0.167687,0.117939,0.386405,0.298634,0.860702,0.455254,0.468468,0.62923,0.283605,0.470348,0.378681,0.43747,0.468714,0.301151,0.490773,0.177551,0.149214,0.335712,0.009171,0.761905,0.008085,0.721805,0.03585,0.061871,0.084122,0,0,1,0,1,0 +0.249353,0.115706,0.150393,0.604571,0.395248,0.342006,0.535494,0.489089,0.48719,0.57279,0.727425,0.532485,0.915896,0.683977,0.257999,0.392154,0.277395,0.22137,0.116115,0.206359,0.240545,0.431501,0.382445,0.394254,0.440166,0.55674,0.246582,0.165223,0.265505,0.256709,0.343923,0.259366,0.081609,0.099545,0.217741,0.120503,0.239854,0.343137,0.42001,0.366155,0.333809,0.182768,0.108222,0.10847,0.231771,0.126894,0.188178,0.141665,0.365344,0.244309,0.868107,0.500489,0.365985,0.500167,0.52399,0.59914,0.731101,0.670149,0.186887,0.233151,0.221957,0.231367,0.156876,0.242367,0.044253,0.047619,0.031735,0.045113,0.107542,0.094288,0.094925,0,0,0,0,1,0 +0.384383,0.6853,0.299679,0.552499,0.163358,0.749326,0.461542,0.657374,0.554971,0.573232,0.644338,0.500912,0.623331,0.576542,0.369785,0.459514,0.634106,0.848715,0.245773,0.409571,0.251823,0.615362,0.251697,0.256762,0.180062,0.463228,0.04522,0.171744,0.25568,0.24378,0.189286,0.13202,0.003519,0.286161,0.090877,0.101011,0.08273,0.202548,0.024966,0.068944,0.014406,0.076583,0.029648,0.042062,0.007941,0.011431,0.000087,0.022052,0.111125,0.064797,0.816143,0.365401,0.076284,0.129262,0.089776,0.095162,0.056185,0.127174,0.049418,0.064191,0.045606,0.016988,0.005034,0.056004,0.746956,0.222222,0.744889,0.210526,0.716097,0.730463,0.76204,1,0,0,0,0,1 +0.14233,0.054325,0.071333,0.673542,0.683725,0.234087,0.535558,0.477317,0.769043,0.661053,0.756426,0.586382,0.330765,0.501008,0.161117,0.55977,0.064138,0.075766,0.053062,0.100417,0.216566,0.212005,0.191241,0.219164,0.248946,0.46885,0.366482,0.269587,0.326915,0.323336,0.309118,0.187933,0.058823,0.169508,0.154573,0.130005,0.39051,0.205531,0.23852,0.302459,0.18927,0.200601,0.187426,0.131788,0.213348,0.172615,0.195649,0.073225,0.361249,0.267441,0.921552,0.470244,0.467522,0.385227,0.271518,0.208823,0.304117,0.391226,0.278092,0.167323,0.218401,0.210969,0.122772,0.129662,0.15574,0.603175,0.125139,0.571429,0.287524,0.098576,0.33216,0,0,1,1,1,0 +0.343322,0.321394,0.264888,0.638989,0.269008,0.420806,0.589358,0.503802,0.378073,0.495191,0.611729,0.312107,0.31771,0.56359,0.331502,0.515478,0.365733,0.521209,0.272518,0.378237,0.347093,0.348959,0.477525,0.377835,0.503714,0.793041,0.577284,0.347814,0.3679,0.409246,0.452897,0.304848,0.061902,0.182425,0.101033,0.175804,0.180139,0.245513,0.181878,0.254632,0.171551,0.213636,0.154826,0.134169,0.179759,0.099586,0.12375,0.099241,0.237363,0.316234,0.805732,0.32059,0.422558,0.29767,0.172676,0.22829,0.316607,0.731869,0.407785,0.265206,0.19253,0.117197,0.148701,0.101827,0.373145,0.571429,0.574941,0.541353,0.832075,0.05716,0.779167,0,1,1,0,0,0 +0.333808,0.232241,0.270107,0.698658,0.4227,0.563822,0.497937,0.489561,0.405969,0.633509,0.492972,0.330648,0.332819,0.288698,0.315895,0.441538,0.48994,0.546325,0.156382,0.305565,0.488431,0.436444,0.595957,0.611622,0.516052,0.787191,0.764307,0.451302,0.739639,0.67305,0.668701,0.364095,0.210831,0.237304,0.236175,0.170425,0.258969,0.201132,0.24955,0.331269,0.237121,0.259958,0.154432,0.144593,0.320087,0.326246,0.153723,0.101049,0.809644,0.3201,0.880957,0.386031,0.441101,0.398645,0.386771,0.495904,0.347307,0.368715,0.249262,0.161169,0.379548,0.311112,0.13616,0.111599,0.056409,0.619048,0.038984,0.586466,0.103687,0.186766,0.209432,0,0,0,0,1,1 +0.109421,0.00917,0.126389,0.544659,0.55658,0.649295,0.505859,0.63709,0.319702,0.685271,0.876265,0.320135,0.938331,0.75222,0.224493,0.397749,0.05122,0.048587,0.095167,0.144614,0.251143,0.169841,0.155595,0.180451,0.158418,0.462889,0.322631,0.157781,0.311984,0.254028,0.265772,0.21253,0.039724,0.077445,0.113068,0.192919,0.28369,0.116422,0.30265,0.423248,0.175549,0.45419,0.128146,0.122872,0.290679,0.185257,0.14581,0.082702,0.382678,0.311494,0.904565,0.526194,0.373797,0.264751,0.273798,0.257134,0.289504,0.488146,0.333146,0.112745,0.209042,0.167287,0.142365,0.10672,0.044138,0.079365,0.042809,0.075188,0.151317,0.102147,0.159241,0,0,1,1,1,0 +0.435395,0.277948,0.145852,0.865846,0.278029,0.387783,0.386372,0.413149,0.30205,0.53703,0.502229,0.425465,0.780849,0.361563,0.358969,0.325757,0.262254,0.287113,0.062689,0.167285,0.208067,0.263508,0.433361,0.47271,0.428704,0.506044,0.455145,0.29032,0.51595,0.320521,0.401486,0.273051,0.093522,0.152802,0.164084,0.03886,0.131867,0.235041,0.332022,0.436807,0.205412,0.240631,0.142991,0.094316,0.234231,0.078242,0.114678,0.071436,0.305889,0.274857,0.911099,0.42808,0.280643,0.287131,0.282974,0.344584,0.467306,0.408066,0.235041,0.162252,0.279994,0.069944,0.131247,0.113164,0.16247,0.603175,0.236405,0.571429,0.317625,0.108762,0.397799,1,0,0,0,0,1 +0.258295,0.209386,0.108531,0.896316,0.31688,0.333391,0.559384,0.453597,0.399569,0.502147,0.599836,0.343797,0.541334,0.498683,0.294023,0.353176,0.189669,0.283843,0.082515,0.0474,0.164338,0.209698,0.180898,0.200324,0.151086,0.22539,0.216169,0.092724,0.221326,0.173057,0.13802,0.118098,0.110197,0.171606,0.152929,0.068471,0.139343,0.101209,0.328672,0.200461,0.150395,0.112494,0.150554,0.042402,0.115874,0.104339,0.084545,0.044888,0.374066,0.386282,0.917937,0.395219,0.274326,0.182763,0.247285,0.237495,0.15173,0.314047,0.23198,0.05382,0.212333,0.096187,0.028966,0.057898,0.105677,0.238095,0.120017,0.225564,0.445062,0.174787,0.316912,0,1,0,0,0,0 +0.426395,0.247879,0.106373,0.694336,0.289445,0.35377,0.594185,0.413239,0.471301,0.613994,0.553266,0.356541,0.39218,0.391925,0.41231,0.512836,0.224794,0.191674,0.062447,0.345905,0.164313,0.532194,0.085998,0.243317,0.161671,0.309374,0.209889,0.134326,0.275342,0.268747,0.331101,0.315344,0.099726,0.132518,0.105025,0.282775,0.203108,0.359486,0.153893,0.247418,0.216217,0.172111,0.135206,0.077812,0.106334,0.222,0.11353,0.147762,0.249445,0.234852,0.924384,0.345509,0.17318,0.565386,0.148455,0.231369,0.205776,0.447777,0.114961,0.119847,0.144151,0.113846,0.155612,0.285477,0.008161,0.190476,0.110042,0.180451,0.059028,0.172763,0.14144,0,1,0,0,0,0 +0.586418,0.370351,0.307146,0.608651,0.272404,0.504299,0.510486,0.592811,0.249621,0.741155,0.51208,0.36036,0.454799,0.402908,0.438048,0.381799,0.636998,0.515211,0.201633,0.33969,0.462949,0.793939,0.776998,0.650766,1,0.881909,0.724453,0.351451,0.541992,0.446055,0.502643,0.268172,0.432067,0.432049,0.227369,0.196673,0.223935,0.276515,0.327673,0.490697,0.362286,0.217051,0.118015,0.07111,0.144791,0.09124,0.094615,0.050236,0.87918,0.315337,0.842582,0.399503,0.425068,0.507614,0.442486,0.538432,0.469623,0.591786,0.425305,0.193361,0.223805,0.220104,0.125043,0.099492,0.003417,0.603175,0.076703,0.571429,0.01103,0.04572,0.125298,0,0,0,0,0,1 +0.335353,0.397436,0.182293,0.746418,0.168898,0.507405,0.394693,0.66221,0.286285,0.37999,0.520619,0.524056,0.317059,0.535404,0.369843,0.314996,0.312904,0.611468,0.113331,0.228242,0.266259,0.295414,0.607142,0.543551,0.362855,0.5624,0.761123,0.372502,0.59112,0.410031,0.493144,0.284941,0.118554,0.31358,0.194963,0.081861,0.15347,0.059748,0.178275,0.336002,0.176408,0.131916,0.123028,0.12321,0.125803,0.090032,0.095179,0.064886,0.329704,0.285164,0.889363,0.382202,0.235974,0.222258,0.434051,0.455478,0.291087,0.443583,0.504775,0.249103,0.272794,0.147027,0.124594,0.106623,0.016491,0.603175,0.029582,0.571429,0.088305,0.055227,0.087683,0,0,0,0,0,1 +0.209523,0.369172,0.146157,0.671685,0.165431,0.785254,0.582518,0.606215,0.352574,0.567666,0.496936,0.490126,0.77117,0.568337,0.385803,0.399195,0.204445,0.687207,0.074747,0.240378,0.319121,0.407808,0.521253,0.301092,0.397037,0.496863,0.42971,0.401365,0.442624,0.409263,0.366047,0.235776,0.110132,0.606789,0.17923,0.187124,0.174604,0.259955,0.436818,0.236992,0.206905,0.218242,0.116872,0.13801,0.165989,0.135802,0.110251,0.058699,0.352289,0.460606,0.90561,0.375798,0.41262,0.521683,0.541144,0.347382,0.494892,0.434012,0.319074,0.16218,0.233134,0.189341,0.066334,0.062666,0.139772,0.603175,0.228023,0.571429,0.398224,0.03063,0.40255,0,0,1,0,0,1 +0.157356,0.18745,0.237992,0.524434,0.406135,0.701042,0.555691,0.455339,0.359828,0.552239,0.508529,0.391467,0.465395,0.383996,0.497874,0.583634,0.240437,0.520945,0.186021,0.375168,0.449364,0.444067,0.57186,0.34665,0.420914,0.683201,0.467768,0.256508,0.408268,0.376951,0.391009,0.174973,0.116888,0.39365,0.106552,0.226034,0.337447,0.224143,0.509562,0.489866,0.281296,0.287772,0.195349,0.141115,0.275499,0.216394,0.205028,0.082693,0.431703,0.561482,0.834655,0.443643,0.278299,0.282535,0.47703,0.355181,0.454005,0.558438,0.367123,0.155852,0.209733,0.190271,0.152312,0.086514,0.171832,0.460317,0,0.43609,0.365938,0.021411,0.414699,0,0,1,0,0,0 +0.264045,0.49386,1,0.452319,0.541582,0.479538,0.273659,0.586523,0.373237,0.452139,0.540434,0.360687,0.55252,0.445387,0.366726,0.438867,0.393706,0.812281,1,1,1,1,0.61161,0.368425,0.351238,0.535042,0.188854,0.071261,0.111877,0.050603,0.141292,0.09713,0.14308,0.44711,0.911765,0.49941,0.339636,0.343044,0.342678,0.1351,0.171485,0.105713,0.067051,0.07693,0.085371,0.065666,0.050571,0.032035,0.509062,0.213023,0.562288,0.576666,0.421369,0.612185,0.504428,0.232142,0.349767,0.35153,0.143288,0.070884,0.049035,0.064872,0.030273,0.067367,0.4068,0.238095,0.909178,0.225564,0.7035,0.902491,0.84102,1,1,0,0,0,1 +0.423468,0.612905,0.637798,0.337486,0.391792,0.793695,0.344661,0.727968,0.436903,0.765439,0.610371,0.539078,0.717198,0.56456,0.36522,0.495104,0.875236,0.87894,0.527169,0.702428,0.621143,0.654118,0.471386,0.325714,0.22631,0.239012,0.226922,0.111447,0.186241,0.275463,0.243378,0.172746,0.212478,0.464773,0.213103,0.276803,0.195227,0.108793,0.055859,0.096795,0.109895,0.105566,0.055344,0.029926,0.035036,0.038304,0.069975,0.039248,0.701456,0.097972,0.667306,0.429663,0.441823,0.477033,0.078483,0.205312,0.153249,0.233581,0.138654,0.066914,0.123676,0.15417,0.094435,0.063075,0.60083,0.190476,0.636244,0.180451,0.75976,0.660748,0.75144,0,1,0,0,0,0 +0.292132,0.185862,0.206251,0.565084,0.520908,0.422447,0.35897,0.562239,0.33507,0.415641,0.483134,0.391966,0.472041,0.507566,0.287079,0.478684,0.341929,0.415663,0.132364,0.331097,0.358511,0.516959,0.602405,0.692298,0.811682,0.835086,0.551928,0.364603,0.467342,0.448647,0.426088,0.252482,0.129998,0.236398,0.226723,0.200011,0.182816,0.321352,0.316968,0.48277,0.434657,0.225367,0.170463,0.125487,0.117812,0.164512,0.178971,0.099458,0.644626,0.445746,0.911795,0.486101,0.345528,0.427294,0.40137,0.391256,0.729518,0.391157,0.253791,0.183776,0.211056,0.203324,0.134217,0.09413,0.013567,0.15873,0.150644,0.150376,0.030252,0.262276,0.146998,0,0,1,0,0,0 +0.359941,0.214892,0.118663,0.546547,0.267956,0.52001,0.486406,0.406802,0.508934,0.365571,0.566564,0.417162,0.489094,0.840136,0.372568,0.430846,0.220639,0.241002,0.05457,0.210574,0.120516,0.375663,0.113765,0.235579,0.153887,0.505592,0.585101,0.353608,0.963172,0.965629,0.953699,0.601434,0.150351,0.237272,0.082247,0.197897,0.121655,0.304157,0.123799,0.253951,0.181692,0.255781,0.287643,0.198688,0.387168,0.536222,0.43027,0.146751,0.266319,0.285159,0.920986,0.534758,0.167207,0.463927,0.136278,0.206313,0.199166,0.490001,0.417499,0.61154,1,0.966009,0.442314,0.505488,0.074064,0.666667,0.121875,0.631579,0.078045,0.313019,0.358943,0,0,0,0,0,1 +0.296386,0.127809,0.00933,0.635878,0.463869,0.688768,0.316953,0.43862,0.439304,0.320924,0.627858,0.112591,0.430589,0.499594,0.301377,0.40352,0.077353,0.121476,0.022312,0.013143,0.070013,0.084515,0.036213,0.132054,0.124366,0.183795,0.276371,0.186046,0.249116,0.187498,0.220669,0.161983,0.049559,0.176468,0.109311,0.052961,0.219432,0.245807,0.160495,0.358002,0.21756,0.241314,0.241068,0.15982,0.145318,0.110177,0.100711,0.090463,0.320027,0.254283,0.946685,0.553989,0.2188,0.225973,0.111221,0.168712,0.21796,0.292369,0.21537,0.136771,0.21307,0.146119,0.082192,0.091633,0.017973,0.460317,0.006925,0.43609,0.160205,0.167206,0.194902,0,0,1,1,0,0 +0.330817,0.215968,0.181999,0.815926,0.273732,0.341277,0.328512,0.597198,0.468064,0.456928,0.538266,0.484097,0.649992,0.277187,0.360347,0.42767,0.275116,0.326071,0.087069,0.22009,0.186306,0.265877,0.402698,0.397083,0.270724,0.447992,0.43088,0.241821,0.364409,0.220785,0.305492,0.201335,0.114184,0.129861,0.095867,0.04283,0.095517,0.118756,0.127238,0.22188,0.17562,0.114265,0.09615,0.048932,0.169831,0.055646,0.07095,0.040481,0.3071,0.295009,0.900427,0.360721,0.08012,0.104159,0.204762,0.178329,0.192393,0.309812,0.148406,0.132006,0.32685,0.069464,0.068758,0.060017,0.185348,0.031746,0.014181,0.030075,0.26364,0.013906,0.138939,1,0,0,0,0,1 +0.110112,0.751686,0.255761,0.703326,0.209037,0.474362,0.477505,0.712747,0.290577,0.333275,0.576703,0.481274,0.655274,0.607984,0.394403,0.490404,0.198017,0.955337,0.12188,0.257419,0.472443,0.393992,0.218248,0.362385,0.344267,0.468818,0.300503,0.185227,0.242411,0.314132,0.364976,0.238256,0.073449,0.230663,0.064812,0.103347,0.140618,0.145839,0.090937,0.198187,0.162737,0.101858,0.060584,0.06614,0.088502,0.119543,0.103325,0.068439,0.377738,0.056654,0.857043,0.31751,0.184501,0.218058,0.104802,0.251449,0.203658,0.281578,0.149084,0.139224,0.168005,0.149751,0.139445,0.148201,0.228597,0.238095,0.350874,0.225564,0.325321,0.366281,0.382769,0,0,0,0,0,1 +0.539585,0.391481,0.156628,0.661082,0.22432,0.409774,0.426308,0.432827,0.352456,0.600798,0.647691,0.412573,0.49331,0.58612,0.429377,0.357311,0.307919,0.281624,0.061303,0.116626,0.110498,0.157984,0.185085,0.243457,0.275946,0.496365,0.453853,0.275644,0.366075,0.396934,0.435503,0.261262,0.12415,0.235742,0.114007,0.097856,0.168775,0.10064,0.10506,0.141916,0.140507,0.121,0.065382,0.069132,0.106779,0.102221,0.088325,0.071148,0.268247,0.251924,0.920071,0.467128,0.115706,0.063272,0.080913,0.139123,0.185585,0.24747,0.19205,0.127065,0.15219,0.108976,0.067633,0.075641,0.329766,0.222222,0.399635,0.210526,0.43052,0.497344,0.486597,1,1,0,0,0,0 +0.118692,0.036016,0.09371,0.481277,0.673437,0.472212,0.435879,0.460907,0.496591,0.610694,0.547937,0.321811,0.588539,0.303168,0.404749,0.265991,0.057214,0.045481,0.080336,0.206316,0.165513,0.331556,0.199165,0.2139,0.229059,0.328951,0.230803,0.192843,0.323522,0.309999,0.451937,0.484112,0.066637,0.142796,0.238288,0.215529,0.286862,0.262546,0.30531,0.278258,0.225053,0.187843,0.117189,0.102697,0.277454,0.227235,0.297776,0.277657,0.346303,0.280935,0.903911,0.528079,0.398085,0.413889,0.221236,0.233936,0.3264,0.353795,0.201809,0.199625,0.447784,0.356902,0.255948,0.542931,0.028995,0.603175,0.077432,0.571429,0.093501,0.10925,0.18667,0,1,1,0,0,0 +0.170082,0.074065,0.089802,0.659648,0.652486,0.158975,0.592447,0.557976,0.597321,0.586326,0.651926,0.551885,0.426038,0.769152,0.230949,0.563733,0.087701,0.087466,0.052226,0.140706,0.275673,0.207146,0.25985,0.194512,0.29201,0.354317,0.386964,0.189237,0.263595,0.338581,0.516011,0.249606,0.035101,0.085126,0.18557,0.156394,0.259701,0.20067,0.357335,0.247987,0.284557,0.224086,0.120515,0.114605,0.134801,0.260579,0.286521,0.159923,0.351664,0.242162,0.915803,0.498793,0.505022,0.325959,0.320247,0.276315,0.257129,0.436484,0.32654,0.279256,0.176175,0.274769,0.187332,0.200547,0.113849,0.079365,0.161966,0.075188,0.211452,0.235633,0.251959,0,0,1,1,1,0 +0.316747,0.176816,0.184857,0.617934,0.368813,0.376534,0.597428,0.556337,0.190523,0.583532,0.846497,0.502437,0.337375,0.220881,0.436231,0.311536,0.214725,0.221995,0.098797,0.204725,0.248309,0.518933,0.542228,0.422153,0.341443,0.421096,0.434701,0.202358,0.40367,0.380256,0.395389,0.26161,0.107156,0.097622,0.086533,0.118392,0.217696,0.25191,0.357384,0.440406,0.244719,0.162487,0.24146,0.134456,0.162677,0.203758,0.142375,0.139177,0.322561,0.290216,0.888536,0.46194,0.343161,0.478648,0.562102,0.308976,0.284439,0.410221,0.323133,0.217186,0.404115,0.186217,0.147114,0.118568,0.036489,0.238095,0.293034,0.225564,0.241952,0.315747,0.284027,0,1,1,0,0,0 +0.344953,0.223918,0.071943,0.904198,0.316104,0.382937,0.37386,0.433376,0.368827,0.493451,0.500149,0.42713,0.602955,0.482589,0.37751,0.277373,0.209734,0.222647,0.058618,0.038976,0.085422,0.176302,0.173647,0.195933,0.123953,0.349056,0.245481,0.145986,0.216643,0.210137,0.277973,0.168227,0.06848,0.127634,0.096806,0.047015,0.092584,0.084438,0.194103,0.193843,0.130463,0.196828,0.088056,0.066717,0.098727,0.098126,0.151654,0.054636,0.366336,0.286848,0.926387,0.422388,0.202964,0.293538,0.212782,0.223986,0.151437,0.329244,0.145595,0.118088,0.148623,0.082982,0.093836,0.111468,0.20249,0.206349,0.069564,0.195489,0.439277,0.142096,0.303311,1,1,0,0,0,0 +0.172932,0.188209,0.230334,0.660254,0.217397,0.507961,0.42898,0.535061,0.434825,0.499319,0.64877,0.492404,0.8548,0.907039,0.394145,0.343501,0.174702,0.463259,0.170167,0.278571,0.19351,0.521816,0.493672,0.343126,0.443777,0.532734,0.402416,0.319698,0.440402,0.504558,0.404469,0.284251,0.041034,0.106269,0.015675,0.137271,0.070931,0.15992,0.236326,0.176153,0.249487,0.143254,0.091991,0.082953,0.053243,0.136288,0.067325,0.068425,0.265842,0.231866,0.851294,0.337766,0.070511,0.339807,0.230317,0.244651,0.326711,0.345398,0.245646,0.15792,0.110858,0.268757,0.080201,0.116225,0.029061,0.063492,0.041504,0.06015,0.134897,0.060186,0.091316,1,0,0,0,0,1 +0.493426,0.509501,0.28365,0.697662,0.163366,0.5246,0.345586,0.5979,0.490198,0.586609,0.755277,0.492304,0.794749,0.679799,0.359163,0.388856,0.450846,0.610647,0.187583,0.296447,0.237039,0.324491,0.257334,0.283826,0.325517,0.574065,0.486639,0.282651,0.343907,0.442332,0.390669,0.271596,0.072158,0.14318,0.123576,0.064792,0.056286,0.05,0.080374,0.092515,0.121746,0.09092,0.091456,0.067482,0.049009,0.075954,0.048342,0.075701,0.158646,0.134844,0.830081,0.382157,0.141095,0.235674,0.084689,0.076196,0.088504,0.261967,0.040878,0.125263,0.150434,0.035397,0.072432,0.07614,0.433999,0.253968,0.421792,0.240602,0.401453,0.476539,0.470355,0,1,0,0,0,0 +0.368104,0.241934,0.071458,0.930157,0.30143,0.478897,0.434335,0.525599,0.232159,0.47789,0.545723,0.375126,0.656745,0.480799,0.395268,0.474804,0.152934,0.192811,0.040267,0.025833,0.03304,0.170476,0.12396,0.114395,0.133907,0.281112,0.220752,0.131157,0.270448,0.139039,0.255061,0.170417,0.110244,0.214035,0.209287,0.013322,0.146599,0.120879,0.18747,0.152583,0.23849,0.131587,0.104889,0.076441,0.063562,0.072588,0.107601,0.052957,0.285948,0.240913,0.938148,0.417219,0.186102,0.230649,0.189811,0.150297,0.222831,0.282034,0.128146,0.082425,0.174061,0.091739,0.066808,0.113433,0.155095,0.349206,0.235202,0.330827,0.224774,0.06007,0.310604,1,0,0,0,1,0 +0.160163,0.050479,0.083013,0.604228,0.51788,0.573379,0.509228,0.470097,0.577409,0.266848,0.42988,0.606959,0.577904,0.558896,0.422447,0.532978,0.149052,0.12836,0.052776,0.109289,0.23354,0.277872,0.259305,0.294711,0.440422,0.586914,0.374815,0.402329,0.422078,0.388679,0.381701,0.275346,0.072251,0.099901,0.154221,0.184408,0.315693,0.181259,0.331531,0.200935,0.394482,0.309692,0.185337,0.210932,0.198682,0.167513,0.230524,0.162328,0.50818,0.305709,0.925778,0.44331,0.373932,0.465477,0.274596,0.39995,0.677625,0.528648,0.228119,0.397759,0.302563,0.246272,0.17216,0.173067,0.114018,0.555556,0.033488,0.526316,0.266955,0.043732,0.25719,0,0,1,1,1,0 +0.423339,0.280225,0.238343,0.781942,0.334916,0.314602,0.437822,0.428081,0.055855,0.371965,0.357867,0.412801,0.468755,0.414717,0.343752,0.509061,0.356537,0.41624,0.122694,0.296042,0.281568,0.503169,0.732165,0.691159,0.778231,0.929568,0.772057,0.473832,0.767213,0.455875,0.607284,0.423688,0.212599,0.139691,0.116532,0.07556,0.102489,0.219284,0.364966,0.448447,0.345564,0.214913,0.159707,0.125149,0.194484,0.12179,0.180683,0.168526,0.479315,0.403183,0.869849,0.361787,0.210525,0.388665,0.306037,0.617049,0.587305,0.701379,0.459409,0.282111,0.459697,0.180388,0.123236,0.277889,0.072501,0.015873,0.086267,0.015038,0.219761,0.216046,0.269727,0,1,1,0,0,0 +0.874635,0.723146,0.215288,0.611714,0.148808,0.74156,0.317833,0.600779,0.363422,0.613953,0.579817,0.45537,0.676178,0.63928,0.482016,0.652464,0.947368,0.716514,0.14417,0.283759,0.20902,0.292459,0.271908,0.276911,0.398996,0.445891,0.313427,0.105492,0.256499,0.317326,0.31419,0.231896,0.042101,0.157418,0.206352,0.138025,0.056797,0.226461,0.093841,0.120957,0.155356,0.121133,0.095677,0.071162,0.090638,0.102288,0.101197,0.091203,0.22574,0.056601,0.855519,0.408677,0.21203,0.299322,0.115941,0.199663,0.33751,0.268025,0.196784,0.064437,0.103631,0.154164,0.093861,0.053291,1,0.222222,0.886738,0.210526,0.930881,0.915883,0.972903,1,1,0,0,0,0 +0.278763,0.332503,0.148563,0.608981,0.316405,0.495376,0.588419,0.591003,0.19809,0.625633,0.44686,0.630141,0.510338,0.512311,0.312149,0.432738,0.358092,0.584819,0.158604,0.352344,0.204469,0.458665,0.68935,0.56383,0.496544,0.45396,0.552935,0.262882,0.364023,0.225163,0.314203,0.199615,0.13798,0.51151,0.107197,0.235578,0.172195,0.205556,0.317297,0.38779,0.257776,0.196115,0.177737,0.11914,0.16907,0.08828,0.139493,0.100196,0.485503,0.455472,0.912275,0.447766,0.298463,0.36049,0.523788,0.471918,0.410905,0.401064,0.398898,0.20575,0.212356,0.086002,0.131846,0.12399,0.008523,0.761905,0,0.721805,0.013063,0.037884,0.067325,0,1,1,0,0,0 +0.117941,0.014353,0.063935,0.367335,0.74217,0.787146,0.487278,0.605435,0.486061,0.465351,0.499416,0.477125,0.444001,0.413391,0.352232,0.552892,0.045882,0.022031,0.05688,0.117395,0.159174,0.219238,0.263024,0.20056,0.236713,0.250415,0.479664,0.207193,0.391049,0.238589,0.187373,0.20098,0.070857,0.098154,0.147763,0.354794,0.271941,0.493759,0.509701,0.648191,0.376804,0.228784,0.267384,0.290425,0.282519,0.164713,0.268933,0.202918,0.381998,0.28297,0.923992,0.578435,0.465288,0.405732,0.808066,0.4794,0.482423,0.485614,0.619755,0.341411,0.370894,0.24618,0.112217,0.174956,0.054413,0.079365,0,0.503759,0.183141,0.032262,0.105944,0,0,1,1,1,0 +0.299318,0.181396,0.301667,0.516206,0.468955,0.429373,0.706009,0.286153,0.6098,0.199722,0.694013,0.31932,0.447531,0.629953,0.390483,0.277522,0.222156,0.261809,0.20797,0.434428,0.497342,0.45581,0.603875,0.596014,0.523924,0.701024,0.526394,0.289555,0.472554,0.387296,0.485665,0.302268,0.146412,0.209659,0.236703,0.390243,0.363742,0.411429,0.72232,0.677784,0.396444,0.481505,0.352356,0.198684,0.34911,0.226063,0.278695,0.214349,0.298856,0.442759,0.849029,0.480135,0.509181,0.461753,0.488657,0.659877,0.4849,0.60893,0.535152,0.221256,0.48034,0.237177,0.259445,0.348411,0.041759,0,0.055661,0.390977,0.140254,0.050109,0.149005,0,1,1,0,0,0 +0.667757,0.435007,0.295082,0.720255,0.283913,0.388505,0.532303,0.435993,0.242038,0.536455,0.447299,0.407861,0.338133,0.539407,0.296164,0.422085,0.725528,0.570247,0.1489,0.368176,0.562062,0.863521,0.7623,0.796129,0.745618,0.907994,1,0.329583,0.790078,0.526173,0.601832,0.386042,0.259107,0.256843,0.236703,0.103897,0.156981,0.215124,0.303652,0.307329,0.339585,0.203844,0.135722,0.057392,0.149925,0.078503,0.098507,0.086987,0.767265,0.257498,0.885225,0.466194,0.45978,0.645987,0.540643,0.486596,0.506955,0.655836,0.35288,0.129891,0.341705,0.191759,0.135345,0.191042,0.007354,0.111111,0.118419,0.105263,0.066576,0.141669,0.136522,0,0,0,0,0,1 +0.272808,0.17184,0.280499,0.643874,0.375934,0.637921,0.456124,0.425601,0.285193,0.574207,0.484022,0.536322,0.626906,0.724237,0.324695,0.557348,0.374781,0.417516,0.181246,0.306421,0.400252,0.597954,0.615699,0.794463,0.553292,0.54041,0.570863,0.344947,0.584766,0.406165,0.425014,0.304422,0.110132,0.192324,0.115768,0.167841,0.159695,0.251465,0.268142,0.356277,0.269134,0.144039,0.111774,0.104167,0.126591,0.075313,0.095479,0.077139,0.533079,0.333611,0.853472,0.344113,0.294331,0.591211,0.289629,0.606481,0.350461,0.31715,0.217126,0.188287,0.403904,0.125673,0.143349,0.131293,0.094447,0.174603,0.045891,0.639098,0.191508,0,0.214377,1,0,0,0,0,1 +0.493054,0.312197,0.245775,0.761396,0.346291,0.455156,0.345357,0.547407,0.205845,0.524079,0.407377,0.489704,0.501344,0.606926,0.276967,0.460883,0.530638,0.51647,0.128448,0.193226,0.21601,0.421007,0.645715,0.505844,0.566451,0.629825,0.598951,0.33369,0.43929,0.410757,0.508233,0.337935,0.241056,0.214257,0.181813,0.074838,0.092436,0.207547,0.281092,0.245793,0.226545,0.171131,0.170435,0.098623,0.131644,0.145066,0.176389,0.112396,0.61791,0.297924,0.867105,0.393728,0.223303,0.361104,0.311411,0.275109,0.289664,0.469653,0.385546,0.160186,0.181514,0.108128,0.122713,0.116491,0.086943,0.730159,0.009254,0.691729,0.057435,0.123532,0.095876,0,0,0,0,0,1 +0.179849,0.104307,0.22359,0.634467,0.522176,0.574362,0.425199,0.371282,0.254512,0.377253,0.540986,0.572946,0.360534,0.623702,0.2164,0.474375,0.162954,0.282262,0.094518,0.222938,0.535526,0.599938,0.601387,0.601154,0.504344,0.671489,0.516608,0.367112,0.830821,0.582031,0.508209,0.312591,0.091921,0.162608,0.087179,0.133178,0.218636,0.207997,0.218513,0.330407,0.265731,0.193754,0.105518,0.111683,0.193573,0.183724,0.136447,0.071893,0.362828,0.362897,0.888797,0.387373,0.440802,0.380544,0.260296,0.494595,0.330249,0.345835,0.2362,0.179598,0.329255,0.25465,0.135873,0.083751,0.026128,0.793651,0,0.75188,0.077093,0.084336,0.143125,0,0,1,0,1,1 +0.444704,0.416118,0.169777,0.701364,0.21538,0.620812,0.437392,0.411858,0.459691,0.535054,0.503899,0.423133,0.515785,0.52489,0.312843,0.327892,0.48324,0.581758,0.081029,0.281891,0.307935,0.348388,0.608862,0.62669,0.388456,0.527738,0.593,0.264011,0.528629,0.448034,0.468298,0.326833,0.148676,0.22881,0.128625,0.101919,0.145025,0.247687,0.23849,0.363344,0.159768,0.195853,0.113227,0.107423,0.146927,0.116813,0.118458,0.07995,0.483006,0.363648,0.897204,0.390106,0.320419,0.357904,0.393835,0.397881,0.349322,0.359112,0.311156,0.152477,0.191548,0.21124,0.144187,0.133861,0.193978,0.190476,0.019602,0.661654,0.268294,0.146156,0.233829,0,0,0,0,0,1 +0.302325,0.319594,0.277223,0.699399,0.332222,0.505165,0.504993,0.588205,0.324822,0.942151,0.454141,0.479402,0.51176,0.397405,0.45497,0.459085,0.339012,0.554112,0.182621,0.3721,0.426628,0.758434,0.769272,0.649798,0.552086,0.907751,0.742137,0.303806,0.472983,0.409488,0.528253,0.295398,0.112742,0.315082,0.147118,0.080884,0.165221,0.224176,0.300298,0.376927,0.202652,0.177778,0.169328,0.062193,0.168261,0.125536,0.130755,0.072764,0.403316,0.378731,0.872942,0.346297,0.266067,0.559388,0.450407,0.371965,0.445117,0.503361,0.407364,0.195553,0.202802,0.214723,0.183555,0.129287,0.036938,0.079365,0.021766,0.503759,0.117861,0.01679,0.102009,1,0,0,0,0,1 +0.160023,0.320485,0.171053,0.573631,0.347578,0.743537,0.302987,0.583054,0.515414,0.574646,0.794292,0.808352,0.823379,0.429445,0.155748,0.787797,0.237446,0.771116,0.156415,0.340984,0.463934,0.397672,0.115182,0.056225,0.127262,0.055966,0.111559,0.015396,0.137567,0.079716,0.12366,0.169861,0.042896,0.185877,0.185687,0.287851,0.205001,0.086747,0.172408,0.018803,0.06053,0.045934,0.063341,0.041978,0.044627,0.018072,0.048059,0.04193,0.27897,0.189451,0.877907,0.465878,0.320443,0.062776,0.193113,0.139464,0.092275,0.233738,0.163507,0.079808,0.085235,0.016023,0.026454,0.064249,0.182883,0.269841,0.309826,0.255639,0.2056,0.345366,0.341303,1,0,0,0,0,1 +0.19798,0.064349,0.027946,0.598329,0.648549,0.416836,0.574779,0.465594,0.377395,0.402631,0.427536,0.518039,0.360346,0.085039,0.289206,0,0.054514,0.043862,0.026339,0.108903,0.103025,0.091364,0.054841,0.157359,0.088115,0.186174,0.174264,0.193614,0.244358,0.282162,0.367484,0.295298,0.080973,0.181085,0.172537,0.206978,0.379973,0.205316,0.242453,0.522884,0.335223,0.304909,0.401505,0.332153,0.441369,0.387058,0.522945,0.359068,0.331209,0.281533,0.934184,0.502476,0.351058,0.290066,0.194587,0.292866,0.25873,0.416878,0.340758,0.32753,0.282878,0.470209,0.31214,0.564352,0.055304,0.206349,0.048217,0.684211,0.146175,0.204845,0.325039,0,0,1,1,1,0 +0.161351,0.072922,0.124955,0.491473,0.463483,0.682536,0.50761,0.508539,0.591953,0.657679,0.611786,0.589574,0.623828,0.595303,0.322814,0.472427,0.188697,0.23868,0.100591,0.313397,0.351421,0.421701,0.613819,0.534793,0.358052,0.650591,0.431217,0.238416,0.402398,0.391417,0.356601,0.217124,0.08889,0.157298,0.081191,0.298561,0.320725,0.346238,0.54324,0.572874,0.336983,0.209439,0.231631,0.116344,0.174982,0.141699,0.231439,0.10021,0.504673,0.369444,0.906046,0.535965,0.522109,0.494209,0.672119,0.783165,0.383738,0.717593,0.540445,0.272503,0.446449,0.256917,0.175822,0.204758,0.044995,0.031746,0.013933,0.030075,0.278192,0.052941,0.17254,0,0,1,1,1,0 +0.423279,0.237114,0.113964,0.490469,0.422583,0.222128,0.663362,0.198977,0.572577,0.347994,0.359709,0.534891,0.902612,0.590638,0.425819,0.337134,0.182182,0.139365,0.061171,0.269786,0.195374,0.249291,0.509652,0.46092,0.304358,0.622384,0.528502,0.39676,0.69419,0.358547,0.535515,0.35852,0.16232,0.191058,0.079782,0.268641,0.183964,0.220401,0.439811,0.390765,0.33811,0.374187,0.214414,0.245557,0.473022,0.179383,0.291715,0.197192,0.259966,0.186013,0.920943,0.556572,0.225042,0.269714,0.412267,0.397668,0.324442,0.555464,0.317128,0.371507,0.429434,0.201931,0.275503,0.264864,0.018758,0.603175,0.025928,0.571429,0.087807,0.126876,0.23551,0,0,1,0,1,0 +0.506827,0.447265,0.255377,0.833072,0.35518,0.292793,0.159685,0.508146,0.288777,0.25376,0.586428,0.440751,0.263811,0.289507,0.32909,0.58543,0.512927,0.605173,0.192479,0.230657,0.352454,0.380276,0.259553,0.278828,0.219217,0.214502,0.243953,0.105833,0.226437,0.295614,0.355444,0.182212,0.026277,0.176662,0.150816,0.009993,0.041075,0.105974,0.110719,0.077712,0.120078,0.058457,0.077176,0.030713,0.107674,0.135625,0.121708,0.04984,0.171499,0.105581,0.84084,0.494461,0.129115,0.192703,0.177232,0.113097,0.237896,0.252741,0.111797,0.075487,0.091702,0.094863,0.080554,0.034316,0.944773,0.238095,0.178029,0.225564,0.912597,0.174581,0.565016,1,1,0,0,0,0 +0.586563,0.675694,0.5897,0.580018,0.162998,0.627965,0.395868,0.71086,0.463505,0.587874,0.664172,0.534237,0.692882,0.542311,0.410388,0.559318,0.621739,0.691149,0.502327,0.568539,0.618805,0.666566,0.574461,0.476219,0.413286,0.567652,0.292733,0.210413,0.281343,0.217881,0.341401,0.17528,0.645275,0.551776,0.781085,0.384071,0.309374,0.32668,0.325847,0.381262,0.205828,0.286049,0.07754,0.071373,0.116871,0.137309,0.132061,0.065699,0.935679,0.250129,0.868717,0.377787,0.530607,0.390701,0.378122,0.532044,0.216437,0.547458,0.262342,0.214474,0.262672,0.272868,0.199458,0.167089,0.523918,0.206349,0.481633,0.195489,0.553489,0.472305,0.53266,0,1,0,0,1,0 +0.295225,0.285249,0.158944,0.715708,0.252571,0.392148,0.511627,0.485889,0.339794,0.46463,0.52006,0.455185,0.630206,0.621877,0.522585,0.539967,0.257163,0.4873,0.069191,0.306647,0.234807,0.334652,0.382704,0.479396,0.35843,0.536132,0.37526,0.209371,0.374352,0.340901,0.368298,0.310762,0.06776,0.193724,0.22185,0.1889,0.106847,0.218974,0.268083,0.310245,0.263444,0.21196,0.097381,0.051678,0.099754,0.090635,0.166267,0.08671,0.275078,0.424714,0.885617,0.371732,0.152234,0.256505,0.382708,0.429864,0.484503,0.368701,0.258059,0.099529,0.225854,0.119955,0.074149,0.110774,0.087991,0.047619,0,0.045113,0.283736,0.074864,0.1816,0,0,0,0,1,1 +0.349175,0.182281,0.241799,0.726286,0.38199,0.374609,0.220183,0.614642,0.308429,0.630595,0.430361,0.371188,0.518744,0.612952,0.453357,0.284677,0.35089,0.317655,0.179882,0.240192,0.254421,0.487077,0.447623,0.378394,0.728133,0.601957,0.517649,0.485101,0.65213,0.512089,0.42083,0.269244,0.109514,0.175599,0.090642,0.199526,0.255327,0.394128,0.369934,0.404426,0.533776,0.317004,0.214075,0.243374,0.311918,0.158258,0.173708,0.104887,0.406015,0.27447,0.857827,0.452259,0.267996,0.487959,0.416745,0.323496,0.811524,0.570352,0.315395,0.479051,0.646002,0.280436,0.156336,0.089671,0.395786,0.253968,0.699359,0.240602,0.530459,0.685814,0.633952,0,1,1,0,0,0 +0.200182,0.067277,0.075705,0.619578,0.695019,0.340665,0.383789,0.439091,0.344342,0.520178,0.477992,0.418367,0.510719,0.323126,0.366535,0.203102,0.055053,0.033707,0.036713,0.057818,0.0812,0.151383,0.129365,0.19335,0.178463,0.248702,0.284299,0.143653,0.216321,0.237643,0.367687,0.314813,0.035316,0.048696,0.165493,0.123768,0.158538,0.153098,0.171779,0.296449,0.311059,0.167702,0.124811,0.085371,0.122659,0.134536,0.13469,0.081204,0.314519,0.219189,0.916587,0.469746,0.361378,0.132748,0.129233,0.184203,0.217403,0.174895,0.140302,0.103813,0.077277,0.137126,0.10478,0.099865,0.040006,0.31746,0.041753,0.300752,0.166946,0.123304,0.237637,0,0,1,1,0,0 +0.103504,0.105964,0.054988,0.428026,0.901748,0.455099,0.426353,0.689093,0.453196,0.499788,0.598178,0.497325,0.554597,0.352265,0.374734,0.386645,0.024251,0.138493,0.104287,0.153351,0.133582,0.189914,0.08048,0.09409,0.034516,0.116795,0.16942,0.099045,0.146277,0.175992,0.196119,0.093907,0.035793,0.748398,0.123929,0.324395,0.618983,0.457654,0.224767,0.491117,0.280298,0.180097,0.245103,0.174106,0.165352,0.174179,0.307527,0.175425,0.357742,0.769166,0.892151,0.617953,0.449267,0.435899,0.183874,0.305703,0.342307,0.305664,0.29799,0.233584,0.240663,0.222068,0.202984,0.153649,0.003291,0.460317,0.005073,0.43609,0.040368,0.010258,0.01723,0,0,1,1,1,0 +0.105463,0.017894,0.067809,0.616156,0.658469,0.281609,0.628506,0.491539,0.69776,0.922573,0.646541,0.397263,0.690229,0.764681,0.279088,0.666279,0.047139,0.061861,0.064262,0.094538,0.195462,0.153492,0.156968,0.207919,0.228664,0.502471,0.333333,0.216908,0.302276,0.256527,0.45065,0.180053,0.01282,0.105488,0.08483,0.08278,0.170406,0.228616,0.266647,0.263249,0.302349,0.309988,0.205696,0.178961,0.210037,0.123225,0.244714,0.12519,0.361892,0.279057,0.906961,0.565965,0.444079,0.429789,0.219604,0.19248,0.319273,0.431163,0.267367,0.233529,0.173551,0.165468,0.197814,0.09986,0.13062,0.619048,0.075155,0.586466,0.076952,0.251648,0.283975,0,0,1,1,1,0 +0.39813,0.210883,0.208443,0.623466,0.183391,0.376843,0.60961,0.55248,0.606293,0.439084,0.745042,0.459537,0.747927,0.637114,0.505933,0.600799,0.434367,0.341204,0.132441,0.366113,0.310742,0.577802,0.544424,0.588837,0.575221,0.894619,0.436293,0.374391,0.493848,0.429075,0.527766,0.292733,0.133208,0.182388,0.158213,0.216191,0.302593,0.267283,0.301924,0.474066,0.239655,0.284998,0.109444,0.183463,0.169612,0.202464,0.178071,0.052572,0.32605,0.235163,0.865755,0.431443,0.39625,0.573038,0.569975,0.675583,0.424107,0.636027,0.28236,0.253474,0.302486,0.215492,0.168545,0.121929,0.075615,0,0,0,0.12289,0,0.052942,1,0,0,0,0,1 +0.31294,0.16076,0.23274,0.550519,0.377164,0.357935,0.544787,0.453707,0.156598,0.419224,0.879101,0.538698,0.379195,0.351397,0.383874,0.500439,0.257838,0.201386,0.171267,0.211185,0.196559,0.438764,0.508107,0.446008,0.531159,0.485614,0.402225,0.273696,0.355323,0.352918,0.464863,0.236589,0.12109,0.149257,0.170894,0.216913,0.214159,0.278028,0.500209,0.532544,0.450134,0.181461,0.281674,0.180628,0.277022,0.204879,0.207343,0.145482,0.42065,0.27183,0.872506,0.470744,0.247439,0.468812,0.421471,0.470169,0.492786,0.454949,0.252896,0.201535,0.179711,0.179143,0.175408,0.110636,0.190912,0.285714,0.251443,0.270677,0.302097,0.309466,0.32598,0,0,1,0,0,0 +0.098455,0.088577,0.079218,0.345908,0.470274,0.835865,0.463357,0.751774,0.319159,0.289604,0.419864,0.389036,0.644697,0.486027,0.376693,0.54918,0.074826,0.301923,0.048739,0.255599,0.20822,0.374756,0.127159,0.224293,0.123837,0.262349,0.286246,0.082767,0.178193,0.224902,0.267816,0.205795,0.068359,0.340051,0.118293,0.213459,0.190731,0.21393,0.170722,0.294354,0.189529,0.177995,0.136974,0.056729,0.062661,0.085737,0.127241,0.109454,0.328896,0.765769,0.918808,0.541826,0.276636,0.34292,0.109863,0.264467,0.178781,0.2149,0.210807,0.069362,0.169102,0.229801,0.123426,0.148866,0.050942,0.380952,0.2922,0.360902,0.236153,0,0.342518,0,0,1,1,1,0 +0.278504,0.360188,0.29315,0.515101,0.337337,0.500074,0.570533,0.401525,0.281365,0.597712,0.514458,0.596788,0.567203,0.530883,0.423707,0.367813,0.365201,0.650212,0.219544,0.394345,0.325816,0.66936,0.706367,0.498167,0.564152,0.636381,0.560606,0.2994,0.290377,0.262581,0.350127,0.202868,0.25266,0.500377,0.057004,0.16327,0.232208,0.267594,0.375547,0.37464,0.298783,0.238138,0.312402,0.169474,0.155492,0.165976,0.166505,0.078101,0.668735,0.446913,0.850902,0.44142,0.312688,0.588557,0.496832,0.571916,0.593086,0.463995,0.52477,0.261155,0.195153,0.147109,0.160846,0.121754,0.081844,0.603175,0.111081,0.571429,0.216894,0.006707,0.203102,0,1,1,0,0,0 +0.467127,0.565615,0.305,0.62641,0.20087,0.576582,0.449134,0.60225,0.394404,0.738788,0.715651,0.354967,0.768395,0.604159,0.343029,0.453394,0.515615,0.668823,0.180014,0.338151,0.366292,0.561419,0.548179,0.368596,0.371091,0.452278,0.360744,0.157877,0.26858,0.202024,0.24648,0.150038,0.096366,0.329977,0.109663,0.083369,0.193144,0.162923,0.12577,0.130946,0.169456,0.053586,0.041401,0.0313,0.06021,0.015715,0.048231,0.020224,0.253888,0.213621,0.84341,0.382044,0.171542,0.296098,0.138963,0.109444,0.137204,0.166139,0.09907,0.044827,0.055133,0.006346,0.046753,0.031738,0.60458,0.222222,0.476671,0.210526,0.614064,0.605432,0.68401,1,0,0,0,0,1 +0.405975,0.283414,0.091655,0.900335,0.288788,0.393966,0.516363,0.416062,0.224773,0.465864,0.571196,0.416093,0.485985,0.471162,0.367733,0.449321,0.254934,0.258471,0.056077,0.062231,0.203477,0.269476,0.336889,0.270784,0.180351,0.378764,0.332777,0.138476,0.329496,0.289556,0.313964,0.214198,0.178715,0.241186,0.118175,0.053701,0.159565,0.173078,0.290683,0.237469,0.23301,0.186946,0.189794,0.092667,0.206685,0.141559,0.155155,0.094596,0.357907,0.253866,0.933487,0.403947,0.220491,0.185219,0.293692,0.223108,0.271833,0.357542,0.259036,0.168817,0.201237,0.156803,0.098211,0.092888,0.049507,0.190476,0.138705,0.180451,0.197293,0.136944,0.165253,0,0,0,0,1,0 +0.454665,0.299948,0.257071,0.685788,0.252015,0.711839,0.645936,0.699213,0.459508,0.587958,0.51666,0.312208,0.318508,0.171451,0.320218,0.640145,0.324478,0.360194,0.140462,0.17389,0.196694,0.265171,0.272931,0.291242,0.262438,0.338507,0.269957,0.15863,0.314633,0.237859,0.235893,0.247241,0.553166,0.791737,0.158683,0.126532,0.245387,0.270921,0.272801,0.342146,0.181922,0.156242,0.17055,0.135105,0.179384,0.163557,0.115084,0.108297,0.36841,0.208576,0.892586,0.376757,0.282946,0.159466,0.101399,0.146932,0.238306,0.204022,0.142449,0.120401,0.145839,0.037809,0.025663,0.062911,0.043344,0.253968,0.020741,0.240602,0.13289,0.270149,0.304563,1,0,0,0,0,1 +0.379999,0.254396,0.224031,0.558464,0.369265,0.475829,0.388473,0.518911,0.413194,0.638607,0.550006,0.442232,0.565736,0.496693,0.474059,0.52451,0.444058,0.455041,0.118469,0.3184,0.2522,0.385061,0.663616,0.476514,0.523713,0.725692,0.55298,0.275192,0.538224,0.333167,0.427611,0.287771,0.250873,0.310816,0.233181,0.217612,0.199895,0.227531,0.360587,0.352633,0.27218,0.458363,0.106564,0.125399,0.294196,0.086183,0.221112,0.107828,0.841813,0.433056,0.884354,0.5069,0.38361,0.386805,0.608476,0.495224,0.50648,0.608727,0.34434,0.168646,0.321426,0.174323,0.158352,0.118878,0.108656,0.253968,0.070443,0.240602,0.370239,0.081477,0.227578,0,0,0,0,0,1 +0.42126,0.179333,0.127813,0.578627,0.489081,0.250223,0.421523,0.298004,0.369808,0.251247,0.547645,0.331164,0.623171,0.526606,0.311989,0.159011,0.112057,0.08344,0.043975,0.10964,0.169816,0.139163,0.202954,0.24782,0.317626,0.567116,0.49034,0.371214,0.528638,0.559484,0.670019,0.412315,0.104901,0.143152,0.166432,0.317729,0.311769,0.24173,0.279342,0.453484,0.666982,0.534405,0.260816,0.463663,0.502039,0.407511,0.503313,0.20636,0.329061,0.227191,0.912492,0.510154,0.330596,0.199474,0.267441,0.34761,0.562756,0.777803,0.382992,0.324377,0.374584,0.512579,0.314946,0.32419,0.02291,0.238095,0.094768,0.225564,0.16473,0.149437,0.178167,1,1,1,0,0,0 +0.202337,0.119967,0.041219,0.036929,0.687196,0.336041,0.531636,0.775231,0.586269,0.44209,0.637227,0.6685,0.785528,0.311889,0.410348,0.431617,0.055722,0.082914,0.03272,0.122081,0.097571,0.061567,0.056697,0.1432,0.126218,0.236462,0.25315,0.165385,0.212135,0.271884,0.254372,0.213117,0.144793,0.35142,0.121111,0.799297,0.402052,0.29635,0.182165,0.450496,0.2392,0.669915,0.219629,0.339978,0.200902,0.302435,0.149195,0.154133,0.331301,0.583822,0.914496,0.776605,0.476277,0.179884,0.167947,0.376169,0.216113,0.315378,0.365427,0.231215,0.113101,0.227153,0.121323,0.134448,0.036519,0.507937,0,0.481203,0.125832,0.104653,0.18937,1,0,1,0,0,0 +0.354704,0.19526,0.22298,0.742495,0.420143,0.622157,0.56797,0.506714,0.182286,0.528922,0.48699,0.31267,0.323678,0.382476,0.306627,0.2164,0.377741,0.357088,0.109777,0.291584,0.421679,0.677572,0.756746,0.623513,0.771762,0.811651,0.648373,0.3845,0.611362,0.526061,0.552809,0.403116,0.161759,0.198179,0.084067,0.137187,0.187354,0.189256,0.412107,0.427511,0.338799,0.227972,0.230348,0.150683,0.192317,0.148425,0.163226,0.148815,0.562531,0.299168,0.88431,0.622299,0.409224,0.488881,0.380064,0.539316,0.730135,0.463236,0.429349,0.193334,0.252515,0.188263,0.142185,0.128963,0.040477,0.301587,0,0.819549,0.155308,0.037865,0.136601,0,0,1,0,1,1 +0.357328,0.158664,0.15333,0.468973,0.51816,0.288617,0.489237,0.391294,0.41997,0.528878,0.649743,0.319473,0.521899,0.507292,0.253605,0.065762,0.108626,0.084552,0.057914,0.183853,0.163219,0.128892,0.174575,0.222901,0.288913,0.412952,0.508625,0.374812,0.568289,0.617871,0.619387,0.402072,0.171088,0.166278,0.177058,0.597514,0.468211,0.190815,0.27086,0.358398,0.358089,0.337163,0.429545,0.407035,0.390515,0.557236,0.3994,0.205103,0.332587,0.221136,0.898902,0.606506,0.527872,0.267344,0.195924,0.213035,0.315412,0.345591,0.43219,0.333776,0.43994,0.448181,0.286149,0.291248,0.030818,0.349206,0.105713,0.330827,0.169064,0.17888,0.300047,0,1,1,0,0,0 +0.300387,0.192768,0.210702,0.655416,0.385253,0.280672,0.422183,0.433987,0.496422,0.425357,0.573059,0.474418,0.521257,0.385006,0.473128,0.323245,0.206544,0.294284,0.152333,0.313283,0.268384,0.408904,0.655395,0.488174,0.529956,0.600216,0.590474,0.419051,0.483885,0.354301,0.475161,0.313984,0.088553,0.084211,0.073441,0.161081,0.234872,0.256826,0.458294,0.411732,0.339629,0.168926,0.279949,0.157635,0.15817,0.164881,0.152235,0.106223,0.219423,0.227437,0.891977,0.479766,0.282554,0.358756,0.486798,0.407576,0.395278,0.46644,0.538835,0.316477,0.287899,0.226469,0.132728,0.217911,0.073458,0.507937,0.210459,0.481203,0.179326,0.000815,0.241422,0,1,1,0,0,0 +0.621432,0.538188,0.372086,0.506429,0.236319,0.486783,0.513891,0.746344,0.320317,0.738579,0.581289,0.544778,0.561092,0.408828,0.345715,0.320123,0.722271,0.672938,0.259481,0.55455,0.583243,0.789833,0.888747,0.631602,0.994596,0.955979,0.724295,0.423569,0.734808,0.497544,0.512497,0.423589,0.529407,0.377706,0.189856,0.19813,0.197272,0.200564,0.398051,0.330536,0.252717,0.229141,0.098248,0.10519,0.185718,0.097306,0.13935,0.06547,0.988506,0.416166,0.831388,0.330976,0.400142,0.314196,0.424126,0.419049,0.563645,0.549281,0.344221,0.285709,0.308581,0.16404,0.132632,0.175898,0.585123,0.650794,0,0.616541,0,0.575951,0.296366,0,0,0,0,0,1 +0.462246,0.341461,0.339497,0.700296,0.329791,0.719058,0.316819,0.487716,0.435857,0.653049,0.476883,0.365438,0.687013,0.727224,0.23914,0.08955,0.476328,0.527805,0.196121,0.294117,0.415117,0.420732,0.609242,0.652336,0.619304,0.765136,0.765084,0.405041,0.917822,0.60537,0.593421,0.389427,0.130185,0.192837,0.113949,0.052142,0.132424,0.192629,0.305461,0.595397,0.528937,0.322398,0.265327,0.233785,0.304637,0.242142,0.240766,0.088827,0.427572,0.225026,0.822458,0.407565,0.254765,0.28897,0.268154,0.516212,0.605835,0.460639,0.473537,0.218261,0.501824,0.336415,0.19304,0.15051,0.088471,0.365079,0.014021,0.345865,0.221428,0.308521,0.359373,0,0,0,0,0,1 +0.327329,0.407434,0.208917,0.772767,0.237606,0.475576,0.412958,0.407041,0.450619,0.508927,0.483122,0.272342,0.491114,0.407633,0.44084,0.516996,0.353782,0.641001,0.12155,0.252772,0.326008,0.384788,0.510856,0.629968,0.539408,0.770738,0.746822,0.343124,0.525333,0.578607,0.505697,0.314897,0.197271,0.332375,0.214923,0.105627,0.123577,0.228616,0.193989,0.3493,0.198137,0.220203,0.166362,0.066551,0.101557,0.097794,0.077342,0.081151,0.570922,0.331135,0.891236,0.354838,0.269879,0.343153,0.366628,0.490897,0.474006,0.508065,0.372853,0.205143,0.249884,0.186523,0.113984,0.127351,0.172407,0.031746,0.162317,0.030075,0.260088,0.160571,0.300609,0,0,0,0,0,1 +0.029982,0.377035,0.225127,0.461397,0.578228,0.624158,0.3771,0.542151,0.427653,0.548281,0.810753,0.780616,0.878598,0.386216,0.289287,0.664284,0.044098,0.9085,0.250899,0.438811,0.301322,0.319257,0.01554,0,0.061543,0.011528,0.000031,0.002339,0.024317,0.095149,0.043032,0.034175,0.031358,0.142685,0.064812,0.152581,0.11808,0.008279,0,0,0,0,0.029169,0.041242,0.007164,0,0.007788,0.003797,0.359193,0.055035,0.813398,0.369932,0.11334,0.075883,0.065083,0.056376,0.069374,0.16282,0.090866,0.088798,0.061558,0.018952,0,0.042308,0.187854,0.238095,0.374615,0.225564,0.296765,0.403632,0.403385,1,0,0,0,0,0 +0.388843,0.191942,0.04585,0.639894,0.445185,0.296336,0.609102,0.181539,0.434909,0.107908,0.48696,0.333843,0.459381,0.142606,0.426253,0.226568,0.130796,0.105363,0.04908,0.174334,0.233537,0.120669,0.185291,0.236737,0.271206,0.301436,0.329461,0.228748,0.379256,0.492922,0.465071,0.406523,0.158137,0.217376,0.24909,0.241959,0.39985,0.189993,0.34605,0.532207,0.645886,0.37656,0.296369,0.275266,0.457879,0.51769,0.344438,0.274334,0.306403,0.253391,0.913886,0.507939,0.407197,0.270113,0.388428,0.340682,0.470658,0.59046,0.526906,0.233772,0.404498,0.526661,0.432805,0.416261,0.017211,0.31746,0.015031,0.300752,0.123743,0.127063,0.153055,0,0,1,0,1,0 +0.628921,0.782809,0.372797,0.67596,0.177876,0.780483,0.421277,0.528635,0.174896,0.169033,0.488352,0.276679,0.64228,0.378581,0.39917,0.707733,0.835584,0.749151,0.349565,0.346512,0.475211,0.277105,0.335283,0.30452,0.380632,0.437759,0.442281,0.281183,0.40315,0.361873,0.345156,0.226183,0.177835,0.219072,0.193084,0.146423,0.237283,0.323859,0.426418,0.461866,0.32904,0.258024,0.1983,0.10448,0.098233,0.161364,0.154622,0.107104,0.113292,0.172232,0.859134,0.317323,0.148521,0.439508,0.231927,0.254559,0.248596,0.214693,0.163224,0.121019,0.153015,0.174481,0.100714,0.171133,0.573627,0.222222,0.848078,0.210526,0.744068,0.853447,0.836483,1,0,0,0,0,0 +0.173046,0.819296,0.374413,0.507085,0.328789,0.341546,0.506144,0.628753,0.429328,0.686399,0.492039,0.498991,0.649137,0.592975,0.450154,0.506996,0.322366,0.862744,0.329761,0.506537,0.550506,0.784323,0.539055,0.49898,0.485751,0.515177,0.655951,0.259584,0.402708,0.426493,0.441362,0.3501,0.184451,0.635756,0.26453,0.326433,0.303315,0.565155,0.399739,0.385627,0.273258,0.189529,0.271284,0.111448,0.193564,0.121591,0.138852,0.115281,0.701548,0.180545,0.853341,0.449645,0.509648,0.565461,0.457037,0.451909,0.458384,0.606527,0.570136,0.244447,0.356254,0.246741,0.176538,0.346634,0.041703,0.650794,0,0.616541,0.039677,0.189205,0.136688,0,0,1,0,0,0 +0.120819,0.289518,0.06538,0,0.446412,0.862041,0.447155,0.632987,0.491822,0.660764,0.728848,0.548188,0.734549,0.653049,0.397859,0.37359,0.124807,0.594087,0.062183,0.254877,0.329985,0.296942,0.211336,0.215178,0.188349,0.192677,0.170168,0.092366,0.167173,0.133405,0.13954,0.090322,0.207799,0.695062,0.173594,0.619593,0.68141,0.271537,0.334709,0.632421,0.418995,0.29675,0.117845,0.091254,0.157828,0.232483,0.117083,0.07965,0.505408,0.842833,0.908659,0.795318,0.581249,0.580169,0.312948,0.317265,0.422674,0.382351,0.222039,0.193237,0.236398,0.230614,0.092669,0.078738,0.011019,0,0.009967,0,0.0458,0.08037,0.06724,0,0,1,1,0,0 +0.242572,0.130768,0.264798,0.759194,0.413565,0.429807,0.510282,0.643657,0.352619,0.461234,0.556523,0.317538,0.57322,0.485122,0.393919,0.543487,0.268942,0.277977,0.203778,0.25873,0.332798,0.509539,0.412833,0.464861,0.521336,0.570181,0.556513,0.336743,0.513865,0.537802,0.517105,0.318619,0.075798,0.099596,0.077727,0.176005,0.258138,0.32542,0.293449,0.505835,0.343455,0.317789,0.185656,0.175129,0.251692,0.257334,0.254082,0.114844,0.363122,0.239164,0.837355,0.589076,0.222326,0.382605,0.247305,0.387152,0.607604,0.615458,0.315491,0.2833,0.33828,0.260842,0.339281,0.221267,0.155201,0.349206,0.28135,0.330827,0.26206,0.008314,0.325431,0,0,1,0,1,0 +0.203795,0.077787,0.127304,0.506713,0.630331,0.325644,0.449338,0.36634,0.389057,0.341726,0.533829,0.315848,0.797214,0.786539,0.446543,0.198339,0.11597,0.093868,0.093979,0.224672,0.269651,0.146889,0.188512,0.313587,0.265748,0.571753,0.300051,0.305634,0.58974,0.647529,0.787472,0.463636,0.100222,0.102858,0.204121,0.261802,0.532472,0.189329,0.348124,0.538041,0.359505,0.391329,0.208395,0.233148,0.462643,0.453066,0.404896,0.232299,0.317236,0.278793,0.888623,0.465976,0.318554,0.161829,0.198041,0.442455,0.491622,0.881172,0.364029,0.484832,0.780237,0.709139,0.558872,0.60914,0.063129,0.555556,0.019252,0.526316,0.190266,0.031241,0.183395,0,0,1,1,0,0 +0.251632,0.292495,0.260799,0.685179,0.20022,0.495619,0.436554,0.465397,0.488621,0.502625,0.603295,0.412639,0.651059,0.459853,0.493458,0.458026,0.275921,0.549235,0.138327,0.273416,0.314867,0.439121,0.49848,0.504506,0.454904,0.706171,0.558389,0.322637,0.412826,0.363007,0.517065,0.265399,0.16116,0.252591,0.018903,0.062374,0.209302,0.179425,0.223822,0.303355,0.172074,0.122983,0.072608,0.104314,0.075527,0.082405,0.133718,0.056082,0.434201,0.345139,0.854691,0.516396,0.418266,0.32422,0.196675,0.282496,0.236671,0.393643,0.297155,0.178175,0.150365,0.106857,0.144264,0.074561,0.110364,0.063492,0.152497,0.06015,0.27632,0.194962,0.249689,0,0,0,0,0,1 +0.358683,0.49969,0.270434,0.523219,0.19947,0.541424,0.328727,0.491158,0.434697,0.394286,0.560969,0.333243,0.904218,0.726603,0.453856,0.362015,0.402406,0.681223,0.143784,0.403423,0.401717,0.526376,0.39863,0.5014,0.292194,0.578861,0.347666,0.203293,0.550669,0.358684,0.44169,0.31072,0.095646,0.353097,0.091112,0.223241,0.065377,0.49851,0.136837,0.37177,0.135205,0.130516,0.210878,0.066807,0.233391,0.083424,0.108792,0.095528,0.236775,0.437966,0.858481,0.445183,0.294991,0.546537,0.178563,0.473969,0.331237,0.380767,0.342767,0.101383,0.31176,0.134043,0.129657,0.242717,0.563746,0.222222,0.450565,0.210526,0.505309,0.441839,0.498375,0,1,0,0,0,1 +0.410823,0.299318,0.068724,0.558505,0.545393,0.477878,0.187376,0.475913,0.362602,0.575015,0.754813,0.438745,0.819279,0.609585,0.336631,0.332239,0.170689,0.225783,0.034854,0.082738,0.114134,0.085196,0.039964,0.139621,0.14376,0.232872,0.205484,0.172366,0.22772,0.185841,0.231474,0.133603,0.279404,0.718141,0.259598,0.312025,0.691312,0.496603,0.506475,0.905925,0.674031,0.235387,0.239111,0.425824,0.505028,0.145168,0.245643,0.133589,0.426158,0.582262,0.925124,0.710079,0.705469,0.327215,0.100605,0.279056,0.168358,0.211756,0.170996,0.27956,0.299682,0.1086,0.082866,0.063,0.163911,0.190476,0.18894,0.180451,0.26574,0.424287,0.381505,0,0,0,0,1,0 +0.855705,1,0.252225,0.59975,0.119965,0.713902,0.291881,0.690423,0.492025,0.663562,0.622975,0.592936,0.650283,0.637115,0.397089,0.296862,0.946279,0.603927,0.145149,0.233462,0.288609,0.481548,0.213699,0.203536,0.188746,0.432654,0.253132,0.125573,0.253458,0.355033,0.362729,0.283217,0.08204,0.126756,0.100211,0.068157,0.045407,0.080246,0.032485,0.096585,0.09988,0.062126,0.010717,0.027001,0.017948,0.041773,0.028145,0.023067,0.040488,0.086644,0.878866,0.455614,0.124197,0.256205,0.038502,0.087434,0.063412,0.186132,0.050734,0.067973,0.024272,0.054563,0.047072,0.051156,0.361027,0.253968,0.380507,0.240602,0.370525,0.386347,0.433592,1,0,0,0,0,1 +0.184163,0.439341,0.210555,0.574922,0.296217,0.535851,0.549626,0.498101,0.384526,0.655552,0.500171,0.585363,0.738803,0.417773,0.435152,0.365792,0.236344,0.726136,0.197804,0.280593,0.27632,0.306622,0.423238,0.393202,0.310474,0.466265,0.46198,0.204164,0.25549,0.256494,0.343956,0.209281,0.104545,0.603166,0.181695,0.254213,0.200316,0.261168,0.557911,0.483113,0.339991,0.238559,0.305708,0.196643,0.138044,0.110145,0.255345,0.118427,0.333303,0.442454,0.916195,0.462711,0.243263,0.318088,0.484502,0.518378,0.407876,0.434882,0.516652,0.183742,0.19897,0.188449,0.222935,0.146351,0.123697,0.333333,0.175212,0.315789,0.269826,0.268022,0.37501,0,0,1,0,1,0 +0.237524,0.151348,0.248328,0.547831,0.427854,0.512417,0.40569,0.508453,0.399414,0.320786,0.709181,0.347394,0.607814,0.290079,0.494243,0.353804,0.194698,0.324847,0.172357,0.258091,0.25413,0.622319,0.461394,0.564565,0.728811,0.584945,0.413171,0.364669,0.386055,0.323839,0.392881,0.252585,0.050616,0.143157,0.097511,0.19254,0.145606,0.397323,0.274997,0.358261,0.327175,0.204817,0.120791,0.118235,0.142399,0.148642,0.103346,0.076617,0.348708,0.425013,0.839664,0.440845,0.197191,0.374501,0.394075,0.503488,0.570418,0.542026,0.200489,0.221911,0.199142,0.158249,0.128903,0.16418,0.180012,0.380952,0.488118,0.360902,0.303289,0,0.409657,0,1,1,0,0,0 +0.297229,0.203388,0.080765,0.903695,0.28881,0.317405,0.503949,0.521011,0.304484,0.41664,0.512668,0.374262,0.64949,0.533184,0.394163,0.518613,0.151324,0.170668,0.0526,0.049708,0.084273,0.206889,0.18934,0.177267,0.224273,0.324695,0.242099,0.169319,0.307783,0.273003,0.266327,0.177529,0.109439,0.204353,0.127686,0.026722,0.160654,0.207968,0.188969,0.199603,0.224897,0.180635,0.115235,0.138788,0.20925,0.165569,0.136119,0.085181,0.261288,0.191287,0.926344,0.429466,0.209344,0.27518,0.241925,0.187919,0.22592,0.256977,0.137175,0.086532,0.175331,0.071813,0.063086,0.06963,0.069699,0.269841,0.151661,0.255639,0.138312,0.256845,0.268196,1,0,0,0,0,1 +0.313669,0.20741,0.253795,0.772172,0.436376,0.483187,0.253386,0.307609,0,0.486279,0.660633,0.597411,0.338244,0.193909,0.267927,0.272107,0.278918,0.409034,0.162081,0.264572,0.379814,0.402037,0.644413,0.460613,0.586117,0.695913,0.742059,0.369257,0.531603,0.584723,0.607241,0.359663,0.095627,0.136659,0.097452,0.109493,0.125449,0.114033,0.219992,0.21967,0.203865,0.139955,0.219497,0.06555,0.237327,0.216192,0.109399,0.106294,0.270873,0.22949,0.861312,0.294586,0.237361,0.262603,0.39747,0.342803,0.441045,0.367532,0.323301,0.157635,0.286441,0.197609,0.201383,0.141333,0.242477,0.666667,0,0.631579,0.041012,0.338835,0.233464,0,0,0,0,0,1 +0.156854,0.049831,0.127609,0.375524,0.662973,0.883879,0.31052,0.526823,0.429913,0.392458,0.58864,0.395925,0.772512,0.521428,0.454574,0.66619,0.171475,0.14356,0.144852,0.217553,0.393608,0.416923,0.408139,0.320837,0.361166,0.511494,0.364825,0.260558,0.315571,0.263688,0.233888,0.15072,0.092483,0.112785,0.169778,0.727092,0.304665,0.776709,0.37373,0.503159,0.43606,0.366497,0.122085,0.130938,0.301648,0.221339,0.215244,0.107996,0.534878,0.373604,0.888753,0.570641,0.497702,0.527441,0.537716,0.405882,0.521636,0.730138,0.359113,0.342148,0.308147,0.217888,0.15632,0.102607,0.052411,0.507937,0.055427,0.481203,0.177315,0.062678,0.230172,0,0,1,1,1,0 +0.566856,0.569638,0.261239,0.55411,0.129359,0.746495,0.484784,0.646344,0.645783,0.576665,0.514038,0.39719,0.583585,0.496744,0.432596,0.475963,0.654362,0.665944,0.140363,0.259254,0.377982,0.498937,0.359725,0.258082,0.206978,0.234402,0.297889,0.129095,0.23443,0.282716,0.232578,0.170642,0.376641,0.643487,0.16197,0.251671,0.51038,0.085401,0.431333,0.191224,0.163217,0.102815,0.079969,0.070838,0.089738,0.100572,0.089155,0.063944,0.695654,0.148983,0.861573,0.441816,0.440647,0.666396,0.191114,0.126629,0.243777,0.171101,0.146203,0.093351,0.098096,0.062911,0.030968,0.054577,0.946497,0.222222,0.993061,0.210526,0.879063,0.973829,0.972154,1,0,0,0,0,1 +0.152809,0.120921,0.272355,0.615879,0.311456,0.459036,0.55508,0.49409,0.582033,0.520061,0.688376,0.515993,0.787142,0.558234,0.461056,0.36377,0.191323,0.349753,0.156789,0.334863,0.235677,0.555506,0.527769,0.431933,0.482776,0.751369,0.409592,0.275023,0.391732,0.344623,0.444817,0.343499,0.073795,0.163209,0.130269,0.095367,0.133233,0.192695,0.314094,0.22337,0.251634,0.263385,0.111554,0.085016,0.109235,0.100215,0.10458,0.080342,0.27965,0.332508,0.856826,0.414483,0.122807,0.354851,0.274073,0.309618,0.34182,0.461058,0.203371,0.140061,0.135402,0.169566,0.132903,0.234336,0.063822,0.190476,0.006241,0.661654,0.105669,0.003141,0.05122,0,0,0,0,0,1 +0.538051,0.362847,0.25113,0.847416,0.353424,0.576989,0.248102,0.553122,0.307755,0.268048,0.423899,0.275702,0.340052,0.510099,0.280694,0.580485,0.617094,0.576273,0.163753,0.230541,0.432581,0.460695,0.631817,0.508163,0.54206,0.857895,0.569767,0.30817,0.51387,0.479412,0.516022,0.321784,0.179679,0.239605,0.180521,0.033497,0.16708,0.097222,0.35007,0.391242,0.200585,0.145192,0.107151,0.079245,0.104747,0.120366,0.104745,0.056315,0.472944,0.134492,0.860571,0.372758,0.203495,0.214794,0.287575,0.301011,0.502951,0.47759,0.193131,0.188797,0.215152,0.233007,0.120647,0.105024,0.650738,0.190476,0.779921,0.180451,0.602554,0.764816,0.71423,1,1,0,0,0,0 +0.20624,0.10595,0.195317,0.543468,0.474265,0.422844,0.527217,0.557981,0.465852,0.419681,0.576557,0.455743,0.565358,0.307639,0.491647,0.391941,0.1404,0.213511,0.138614,0.240839,0.215476,0.394367,0.481066,0.487418,0.498845,0.657871,0.635352,0.291178,0.458059,0.448871,0.580723,0.340989,0.053826,0.097775,0.132911,0.194807,0.268551,0.206246,0.39645,0.551033,0.340652,0.315059,0.302672,0.201039,0.282885,0.308791,0.380563,0.21998,0.338536,0.376566,0.864274,0.431085,0.360903,0.448771,0.395504,0.575341,0.571048,0.668519,0.539543,0.244864,0.306874,0.255294,0.247584,0.275288,0.050723,0.460317,0.048561,0.43609,0.082947,0,0.073623,0,0,1,0,0,0 +0.96342,0.756032,0.285085,0.49857,0.053782,0.571094,0.325526,0.51472,0.115386,0.115225,0.202464,0.080465,0.131605,0.308593,0.428584,0.72319,0.942241,0.586483,0.201787,0.431901,0.412092,0.404832,0.134451,0.282487,0.235044,0.532716,0.573692,0.340954,0.35326,0.119824,0.039012,0.127279,0.616715,0.890524,0.334742,0.106721,0.25384,0.223433,0.046527,0.085101,0.369846,0.431464,0.432709,0.307082,0.380771,0.179095,0.028927,0.084204,1,0.306102,0.879432,0.4626,0.408014,0.279421,0.190776,0.405347,0.230618,0.390508,0.229822,0.14205,0.131535,0.036829,0.037387,0.086334,0.765224,0.126984,1,0.120301,0.803946,0.980633,0.935893,0,0,0,0,0,1 +0.631734,0.43718,0.258675,0.855608,0.23659,0.426523,0.319701,0.448699,0.243494,0.349686,0.404639,0.434906,0.497666,0.328655,0.320411,0.341282,0.492826,0.496348,0.110724,0.280091,0.255097,0.382911,0.763604,0.499159,0.606374,0.870862,0.774743,0.424091,0.691869,0.441969,0.636224,0.413503,0.305719,0.197846,0.127979,0.059638,0.120621,0.135905,0.33056,0.293485,0.201847,0.190966,0.137983,0.123128,0.182772,0.102709,0.145896,0.087276,0.397073,0.266708,0.869022,0.352287,0.145201,0.237772,0.385405,0.302532,0.3136,0.45152,0.298952,0.293616,0.284727,0.197959,0.149305,0.161356,0.092431,0.238095,0.157924,0.225564,0.183768,0.176616,0.189465,0,0,0,0,0,1 +0.27858,0.247356,0.323875,0.653695,0.395472,0.787098,0.49227,0.591228,0.125611,0.435357,0.390518,0.326634,0.346733,0.33696,0.322027,0.283812,0.358017,0.562821,0.231624,0.378965,0.566638,0.769563,0.740732,0.59689,0.666973,0.690794,0.703667,0.396659,0.6024,0.504518,0.721155,0.404329,0.164968,0.270199,0.167958,0.193975,0.297882,0.288962,0.493027,0.424683,0.382822,0.246179,0.193023,0.151337,0.205694,0.187686,0.2533,0.144632,0.468335,0.268885,0.849987,0.320851,0.281222,0.51531,0.534544,0.447626,0.576601,0.556735,0.481813,0.34162,0.407122,0.231717,0.359457,0.298786,0.251043,0.698413,0.006142,0.661654,0.128512,0.270027,0.231184,0,0,1,0,0,0 +0.230073,0.394974,0.16022,0.620093,0.298469,0.6839,0.258451,0.522759,0.476795,0.537958,0.756361,0.813153,0.880823,0.48596,0.162723,0.656024,0.333055,0.750824,0.159022,0.295456,0.429419,0.371866,0.116166,0.040472,0.103892,0.066604,0.076967,0.002278,0.098087,0.099718,0.078548,0.149257,0.043645,0.138549,0.238288,0.071573,0,0.018958,0.07361,0.004141,0.07453,0.001402,0.017917,0.046303,0,0.00436,0,0.027043,0.24871,0.04285,0.886837,0.380762,0.154043,0.103915,0.385813,0.085679,0.13468,0.151624,0.068291,0.104108,0.0826,0.009923,0.003824,0.013894,0.264312,0.253968,0.303817,0.240602,0.266686,0.393468,0.378819,1,0,0,0,0,1 +0.308248,0.46557,0.220992,0.636464,0.230276,0.46309,0.584969,0.531111,0.552011,0.803538,0.522735,0.607335,0.687137,0.647014,0.405327,0.622788,0.456413,0.762449,0.152025,0.299499,0.354895,0.385475,0.502941,0.372046,0.477754,0.595654,0.553061,0.314924,0.492589,0.324525,0.467117,0.311099,0.195961,0.368431,0.114947,0.136565,0.199286,0.221196,0.389901,0.336266,0.31007,0.228021,0.209887,0.158356,0.210375,0.189541,0.21671,0.135761,0.590441,0.340751,0.859047,0.411987,0.257507,0.368052,0.408157,0.385156,0.44328,0.472438,0.448364,0.302596,0.330214,0.180577,0.23029,0.165857,0.130698,0.015873,0.001162,0.413534,0.431558,0.029441,0.251722,0,1,1,0,0,0 +0.429812,0.480625,0.381292,0.687593,0.315538,0.427629,0.28722,0.514143,0.325054,0.39832,0.612869,0.416709,0.536974,0.474104,0.445478,0.41911,0.419189,0.652831,0.346836,0.384266,0.335777,0.381266,0.352129,0.358109,0.257484,0.288011,0.284287,0.124392,0.314404,0.186667,0.197812,0.120576,0.371813,0.318622,0.254374,0.160309,0.138624,0.445595,0.452418,0.518648,0.275242,0.156526,0.075108,0.04093,0.052736,0.054067,0.057482,0.032617,0.36797,0.637912,0.865494,0.421639,0.172447,0.27157,0.312468,0.415921,0.26782,0.424616,0.241833,0.137196,0.226291,0.125979,0.052784,0.053259,0.260183,0.190476,0.220196,0.180451,0.354198,0.260055,0.363961,1,0,0,0,0,1 +0.695315,0.590469,0.172962,0.724971,0.292447,0.533255,0.229245,0.692499,0.199437,0.171181,0.587099,0.613184,0.786866,0.452009,0.264015,0.329934,0.67398,0.65786,0.128525,0.178716,0.346661,0.437016,0.385832,0.340954,0.262838,0.455972,0.221463,0.115486,0.240339,0.171492,0.472489,0.139989,0.18534,0.266622,0.190854,0.060251,0.081262,0.134602,0.050138,0.200385,0.10539,0.106772,0.016892,0.029654,0.028792,0.018505,0.06034,0.022332,0.181157,0.024962,0.882568,0.402283,0.078998,0.180429,0.120769,0.161862,0.087477,0.176506,0.03053,0.04484,0.076295,0.000158,0.046434,0.079435,0.840667,0.206349,0.922963,0.195489,0.74888,0.931533,0.880554,1,1,0,0,0,0 +0.257679,0.140958,0.132308,0.490937,0.438703,0.399481,0.332367,0.596995,0.532713,0.722235,0.606904,0.39531,0.68509,0.485715,0.334673,0.313129,0.175352,0.190426,0.077696,0.206351,0.206605,0.426209,0.222212,0.224899,0.150342,0.289686,0.203422,0.101555,0.212893,0.181581,0.253657,0.135467,0.151315,0.247665,0.259011,0.273977,0.24625,0.469871,0.353425,0.330026,0.261744,0.207705,0.089534,0.084069,0.171399,0.090239,0.16229,0.126966,0.442629,0.368734,0.910184,0.518826,0.338208,0.428153,0.211636,0.311585,0.228646,0.290178,0.129384,0.167185,0.201908,0.099207,0.09049,0.158139,0.019122,0.730159,0.025539,0.691729,0.048302,0.13878,0.159604,0,0,0,0,0,1 +0.49544,0.461376,0.289807,0.606175,0.301593,0.484343,0.179201,0.693006,0.407904,0.599212,0.617291,0.519341,0.622755,0.524658,0.454007,0.49411,0.542541,0.684737,0.207563,0.296793,0.306303,0.437911,0.3044,0.470999,0.366115,0.559662,0.256733,0.285186,0.432402,0.401083,0.701584,0.255584,0.270655,0.252263,0.099389,0.123154,0.279777,0.417128,0.375386,0.410105,0.298814,0.337448,0.132023,0.066358,0.080607,0.08761,0.070768,0.039713,0.239254,0.300893,0.840927,0.434152,0.168781,0.180485,0.233205,0.215301,0.143335,0.235211,0.038306,0.117612,0.164652,0.086131,0.213601,0.114375,0.431289,0.222222,0.186094,0.210526,0.615625,0.325493,0.594488,1,0,0,0,0,0 +0.177219,0.09428,0.057744,0.598074,0.609917,0.407134,0.42669,0.599855,0.418419,0.440296,0.53286,0.350279,0.570186,0.332508,0.26465,0.096553,0.079105,0.122766,0.033974,0.127026,0.147268,0.204354,0.035533,0.107253,0.100411,0.179618,0.156367,0.11198,0.218241,0.185805,0.366396,0.443275,0.090265,0.42509,0.200775,0.193447,0.328734,0.408249,0.134496,0.428682,0.259417,0.167107,0.185687,0.144967,0.227512,0.281317,0.398224,0.387884,0.365803,0.558132,0.919549,0.516221,0.436064,0.329498,0.154238,0.187313,0.237171,0.356888,0.280172,0.230666,0.311714,0.302436,0.390409,0.694808,0.00751,0.015873,0.01189,0.413534,0.044079,0.01214,0.050393,0,0,1,1,1,0 +0.877259,0.705711,0.306355,0.683565,0.158814,0.510663,0.241675,0.554878,0.281893,0.366488,0.576012,0.363746,0.599663,0.514624,0.300308,0.520673,0.572414,0.551865,0.164523,0.320023,0.283009,0.459318,0.463825,0.314977,0.343165,0.469667,0.349715,0.185223,0.338752,0.375406,0.402835,0.164342,0.988434,0.46133,0.087942,0.070578,0.215001,0.116648,0.220518,0.17699,0.16376,0.126871,0.076554,0.048035,0.043201,0.074951,0.034378,0.022188,0.337985,0.416958,0.846546,0.3825,0.240419,0.18681,0.304299,0.1418,0.081295,0.149483,0.13225,0.048036,0.103221,0.097564,0.084966,0.108246,0.265093,0.253968,0.38331,0.240602,0.249708,0.653846,0.655585,1,0,0,0,0,1 +0.206208,0.142908,0.273947,0.670927,0.387806,0.54667,0.441161,0.720557,0.384043,0.465161,0.613113,0.405488,0.374985,0.286676,0.365159,0.40314,0.216087,0.326531,0.265928,0.287304,0.292196,0.26686,0.310687,0.324018,0.22112,0.323864,0.340149,0.17959,0.278167,0.290274,0.31931,0.187385,0.154319,0.337704,0.171128,0.120523,0.24703,0.111062,0.301744,0.431665,0.224101,0.144904,0.104852,0.121378,0.194281,0.107463,0.088692,0.069641,0.387452,0.42753,0.835874,0.379098,0.276303,0.159899,0.152573,0.252514,0.145824,0.228531,0.127908,0.098546,0.121333,0.061082,0.093018,0.10434,0.109959,0.492063,0.037601,0.466165,0.172294,0.049735,0.125653,0,0,0,0,0,1 +0.120932,0.06291,0.183818,0.625957,0.268901,0.472298,0.589909,0.571309,0.596383,0.663851,0.632739,0.535165,0.912057,0.578253,0.412635,0.503799,0.154966,0.23616,0.088764,0.287729,0.281161,0.456463,0.401851,0.414115,0.375382,0.569737,0.336767,0.244263,0.33227,0.321064,0.409002,0.314962,0.025547,0.05682,0.148644,0.142975,0.143145,0.19452,0.216294,0.373998,0.315219,0.167928,0.088839,0.056654,0.126072,0.09444,0.092491,0.076647,0.306641,0.240173,0.893806,0.386915,0.17443,0.370804,0.414943,0.332332,0.358658,0.447759,0.171331,0.165252,0.135981,0.107481,0.106497,0.118203,0.127281,0.047619,0,0.458647,0.412223,0,0.214009,0,0,0,0,1,1 +0.158716,0.046523,0.029934,0.423074,0.589958,0.699931,0.610484,0.565427,0.575399,0.337755,0.29571,0.440217,0.308979,0.282428,0.369783,0.236054,0.045584,0.062968,0.025029,0.167399,0.116972,0.241959,0.07434,0.167686,0.218322,0.203309,0.152445,0.088025,0.155939,0.201949,0.30694,0.211139,0.07359,0.206798,0.14882,0.306354,0.399107,0.572036,0.270997,0.511799,0.442912,0.291349,0.256873,0.117726,0.227038,0.394677,0.592074,0.376896,0.362223,0.477513,0.935926,0.621448,0.380449,0.510218,0.262118,0.398958,0.436743,0.401479,0.258704,0.144747,0.34009,0.456771,0.309889,0.404209,0.005898,0.206349,0.00993,0.195489,0.033544,0.066733,0.048859,0,1,1,1,0,0 +0.250196,0.128578,0.1753,0.491949,0.414191,0.352799,0.651919,0.464551,0.144889,0.462923,0.905461,0.636334,0.539231,0.269452,0.397296,0.425025,0.208817,0.212052,0.131517,0.253579,0.198214,0.396814,0.339083,0.279387,0.481244,0.414298,0.382282,0.214078,0.345613,0.372431,0.373393,0.289107,0.09908,0.105164,0.149583,0.243991,0.135002,0.288843,0.47852,0.43675,0.494338,0.276046,0.212058,0.155869,0.215996,0.197884,0.240647,0.163703,0.297093,0.318821,0.874466,0.574664,0.242423,0.475406,0.400116,0.259274,0.499379,0.303188,0.210308,0.136826,0.243728,0.287406,0.197582,0.276903,0.20791,0.222222,0.156207,0.210526,0.314374,0.185853,0.253414,0,1,1,0,0,0 +0.348062,0.257388,0.070531,0.919973,0.258415,0.402822,0.387503,0.450099,0.431023,0.414253,0.492118,0.332872,0.716967,0.582715,0.400994,0.295201,0.150928,0.185566,0.037693,0.042545,0.041127,0.155215,0.172649,0.202467,0.157135,0.38254,0.280557,0.133822,0.240742,0.198527,0.236738,0.152705,0.078718,0.154119,0.166725,0.072357,0.088439,0.151896,0.190357,0.247476,0.204749,0.129724,0.116333,0.111575,0.104746,0.099915,0.094998,0.081653,0.279723,0.241153,0.945988,0.519028,0.227785,0.255135,0.193424,0.336281,0.193463,0.385339,0.323129,0.098726,0.164276,0.042169,0.056064,0.045228,0.045486,0.492063,0.026067,0.466165,0.095549,0.053263,0.082582,1,1,0,0,0,1 +0.132444,0.194498,0.170613,0.637398,0.423326,0.542017,0.382789,0.632432,0.44251,0.386603,0.45175,0.409211,0.557088,0.682249,0.240067,0.420037,0.12381,0.486065,0.150903,0.267396,0.215492,0.48473,0.411962,0.31703,0.351461,0.666069,0.503925,0.285576,0.437878,0.348292,0.435507,0.246535,0.090405,0.439102,0.111424,0.164594,0.126088,0.368,0.132986,0.160135,0.25315,0.325178,0.145346,0.120387,0.096603,0.167228,0.175728,0.095961,0.368355,0.778981,0.879476,0.371492,0.264463,0.371254,0.211093,0.203646,0.383496,0.881946,0.331766,0.162418,0.23397,0.173292,0.138488,0.125694,0.020151,0.619048,0.007771,0.586466,0.071881,0.08558,0.08453,0,0,1,0,1,0 +0.153733,0.193166,0.172533,0.504494,0.500435,0.3223,0.518497,0.544443,0.556717,0.421141,0.542566,0.491075,0.598121,0.4083,0.482491,0.170847,0.1377,0.473084,0.127689,0.327487,0.263234,0.376557,0.559402,0.397279,0.406618,0.610832,0.486099,0.261833,0.393226,0.361738,0.564765,0.261831,0.053199,0.333355,0.058471,0.239829,0.259305,0.232644,0.534792,0.393647,0.430266,0.278367,0.2625,0.193511,0.204458,0.196395,0.187249,0.096528,0.304236,0.519806,0.879214,0.466147,0.259951,0.43504,0.532265,0.382591,0.482674,0.544305,0.357823,0.237977,0.229839,0.25838,0.225686,0.112585,0.441481,0.428571,0.00104,0.406015,0.650154,0.061649,0.37117,0,0,1,0,1,0 +0.295787,0.429948,0.283831,0.702695,0.374323,0.635495,0.34721,0.477032,0.24455,0.534247,0.545106,0.209147,0.537715,0.440567,0.315423,0.135365,0.403131,0.756159,0.218037,0.341133,0.51084,0.470479,0.62674,0.643207,0.63899,0.960285,0.721292,0.522814,0.62776,0.54545,0.608842,0.411225,0.212768,0.348934,0.157919,0.11163,0.239666,0.188134,0.32491,0.465291,0.407302,0.191795,0.164279,0.098558,0.161792,0.172863,0.150219,0.128522,0.592883,0.231338,0.827424,0.340805,0.302561,0.26234,0.37695,0.455677,0.433728,0.593269,0.345268,0.285783,0.276641,0.223758,0.183539,0.174489,0.056803,0.111111,0,0.548872,0.130961,0.029142,0.079737,0,0,1,0,0,1 +0.087446,0.001502,0.090446,0.587341,0.554651,0.512363,0.617963,0.609653,0.680552,0.52791,0.987345,0.510291,0.988217,0.414103,0.652753,0.476555,0.035224,0.034565,0.085914,0.117508,0.144648,0.141649,0.219888,0.274654,0.311015,0.621601,0.275419,0.241869,0.276331,0.382561,0.335082,0.19968,0.044711,0.099004,0.138312,0.216618,0.202026,0.209833,0.401661,0.567211,0.574748,0.603094,0.166852,0.212129,0.307103,0.205734,0.159582,0.128309,0.372175,0.310596,0.902039,0.509468,0.338342,0.291439,0.453285,0.42607,0.683031,0.825271,0.315011,0.319123,0.249815,0.206445,0.184785,0.257036,0.07222,0.507937,0.070132,0.481203,0.138761,0.004887,0.133746,0,0,1,1,1,0 +0.40699,0.365091,0.313494,0.582824,0.307204,0.276919,0.621972,0.579157,0.221787,0.415923,0.561557,0.408055,0.535686,0.35457,0.382367,0.260317,0.452425,0.575443,0.197903,0.32977,0.411881,0.489634,0.734865,0.616069,0.740256,0.581567,0.582089,0.337886,0.526053,0.286592,0.449888,0.247266,0.125226,0.250664,0.134554,0.141405,0.163318,0.135765,0.202713,0.281206,0.345166,0.153595,0.100409,0.070044,0.148227,0.060968,0.118223,0.04915,0.336755,0.338369,0.853472,0.386486,0.295989,0.344396,0.378283,0.419846,0.44586,0.339597,0.280895,0.156386,0.289456,0.086736,0.0724,0.090485,0.040044,0.111111,0,0.548872,0.088858,0.018911,0.044929,0,0,0,0,0,1 +0.382029,0.299489,0.230684,0.703786,0.303487,0.542917,0.367391,0.618022,0.322357,0.465053,0.580048,0.308515,0.494224,0.516334,0.308822,0.243135,0.361392,0.479667,0.152256,0.267589,0.202153,0.377024,0.475719,0.30685,0.445778,0.591711,0.541238,0.365113,0.58361,0.493073,0.453983,0.331469,0.24027,0.314587,0.11025,0.098505,0.111598,0.289937,0.435752,0.452518,0.395776,0.266237,0.182244,0.251246,0.283092,0.207134,0.196627,0.134859,0.426434,0.362979,0.865189,0.450004,0.161345,0.444368,0.528167,0.247185,0.595575,0.594765,0.358311,0.326825,0.481625,0.307345,0.16047,0.208088,0.189751,0.206349,0.009186,0.684211,0.208419,0.06686,0.259201,0,1,1,0,0,0 +0.111862,0.052936,0.107243,0.583333,0.407245,0.652717,0.325723,0.552012,0.46954,0.681095,0.794054,0.729039,0.761738,0.514935,0.270651,0.619241,0.106446,0.280211,0.083978,0.114092,0.181607,0.12946,0.001973,0.0321,0.014763,0.077036,0.084631,0.044266,0.128836,0.117339,0.095267,0.096784,0.026501,0.082344,0.098509,0.121295,0.160858,0.159095,0.177651,0.086166,0.053853,0.127588,0.048849,0.068452,0.069999,0.029565,0.083218,0.036421,0.322892,0.383354,0.899251,0.474325,0.129666,0.137251,0.060409,0.052418,0.038889,0.129029,0.072164,0.086574,0.122537,0.002024,0.025296,0.030066,0.160171,0.269841,0.245789,0.255639,0.188733,0.268857,0.245565,1,0,0,0,0,1 +0.186706,0.056378,0.016571,0.099318,0.328705,0.916075,0.48372,0.623549,0.164737,0.556278,0.422823,0.270265,0.525066,1,1,0.942741,0.088425,0.078746,0.027659,0.147418,0.118047,0.19899,0.033816,0.098974,0.099914,0.019724,0.18527,0.262223,0.210451,0.132666,0.465059,0.247926,0.256497,0.386774,0.116473,0.442988,0.453853,0.47286,0.374097,0.793148,0.739844,0.232301,0.9172,1,0.600114,0.524013,1,0.58126,0.41885,0.384128,0.939193,0.727819,0.376718,0.563063,0.260109,0.510099,0.9731,0.681091,0.735026,1,0.750381,0.624944,0.598024,0.663578,0.005611,0.444444,0,0.421053,0.023168,0,0,0,0,0,1,1,0 +0.355832,0.384855,0.233101,0.663487,0.251364,0.171875,0.521,0.450678,0.392579,0.538383,0.479384,0.43504,0.61203,0.501515,0.496617,0.663984,0.383692,0.570122,0.186549,0.236163,0.262375,0.249717,0.403602,0.304487,0.327125,0.352664,0.384178,0.238492,0.327335,0.306963,0.396049,0.19428,0.171678,0.444181,0.093167,0.083994,0.194208,0.227839,0.257353,0.262645,0.288785,0.17946,0.149247,0.148616,0.16586,0.158028,0.245944,0.118717,0.249077,0.478018,0.862662,0.546091,0.139516,0.305334,0.326635,0.242118,0.316512,0.328093,0.242578,0.183452,0.162178,0.162905,0.277808,0.165064,0.018048,0.365079,0.019435,0.345865,0.12822,0.14979,0.163451,0,1,1,0,0,0 +0.261113,0.176974,0.32418,0.709467,0.356549,0.571736,0.260361,0.436509,0.325629,0.398747,0.596906,0.428843,0.451637,0.311017,0.326228,0.326258,0.22786,0.353474,0.194492,0.222079,0.244189,0.350513,0.317457,0.27359,0.283567,0.413414,0.351584,0.230555,0.458424,0.443727,0.544064,0.266414,0.1307,0.220177,0.040566,0.106392,0.174056,0.263328,0.253316,0.236224,0.254636,0.201169,0.241609,0.224959,0.335263,0.185016,0.106439,0.083267,0.214686,0.173699,0.851468,0.387673,0.129618,0.377151,0.158057,0.129409,0.22519,0.145202,0.194223,0.114733,0.22389,0.125453,0.122123,0.093363,0.093411,0.206349,0.176416,0.195489,0.147564,0.231301,0.245566,1,0,0,0,0,1 +0.173964,0.046916,0.123509,0.430457,0.767904,0.239495,0.546357,0.597397,0.432836,0.558058,0.420304,0.306606,0.697957,0.568945,0.243665,0.209393,0.04398,0.036381,0.159033,0.235533,0.149366,0.152058,0.102781,0.213663,0.19021,0.23713,0.436521,0.27213,0.425482,0.363469,0.668345,0.34485,0.05144,0.086388,0.205354,0.48925,0.459171,0.15489,0.283764,0.662581,0.331329,0.280784,0.314903,0.227449,0.470433,0.300967,0.451944,0.270601,0.336865,0.223688,0.862619,0.512125,0.533854,0.253943,0.216982,0.354465,0.345737,0.503849,0.639318,0.421544,0.611381,0.362233,0.6945,0.438312,0.04725,0.412698,0,0.390977,0.227682,0.038958,0.169247,0,0,1,1,0,0 +0.278661,0.187795,0.262843,0.717042,0.370331,0.4705,0.399577,0.611066,0.384851,0.491356,0.531222,0.282393,0.477946,0.552497,0.445893,0.319862,0.322019,0.378124,0.13792,0.324506,0.403402,0.484066,0.468324,0.632793,0.442327,0.597899,0.498562,0.31293,0.458497,0.357652,0.38896,0.288658,0.090162,0.17595,0.100857,0.059084,0.19605,0.10735,0.167963,0.378964,0.173215,0.148952,0.062099,0.075011,0.088428,0.086028,0.075146,0.055082,0.519601,0.372689,0.875163,0.553449,0.387845,0.307398,0.198674,0.465879,0.35572,0.364024,0.238545,0.156666,0.168239,0.127054,0.120271,0.131348,0.117019,0.238095,0.001487,0.225564,0.210563,0.025633,0.114009,0,0,0,0,0,1 +0.285987,0.188528,0.162773,0.667944,0.30301,0.473911,0.381973,0.572657,0.369915,0.592364,0.673533,0.608325,0.782241,0.423343,0.379004,0.273363,0.205083,0.288097,0.097829,0.157709,0.151156,0.290975,0.141904,0.194599,0.193326,0.25939,0.332326,0.22154,0.35673,0.36872,0.296367,0.208626,0.099436,0.154461,0.17741,0.134929,0.094832,0.316998,0.285696,0.272307,0.23125,0.220822,0.213691,0.200773,0.281286,0.265586,0.187767,0.121154,0.274876,0.264144,0.88932,0.436817,0.167345,0.359829,0.083142,0.178599,0.212808,0.300725,0.258946,0.189893,0.218808,0.228395,0.108424,0.076638,0.696318,0.222222,0.711693,0.210526,0.67811,0.710297,0.750711,1,0,0,0,0,0 +0.11772,0.047707,0.1175,0.467064,0.606531,0.582614,0.476953,0.687312,0.346191,0.352172,0.435686,0.403543,0.494681,0.516905,0.403119,0.378432,0.072857,0.135432,0.100008,0.257656,0.366671,0.350416,0.110855,0.176256,0.253253,0.358058,0.332075,0.126408,0.376843,0.389643,0.41635,0.165414,0.059721,0.258396,0.097217,0.198481,0.511576,0.169163,0.154036,0.306842,0.292218,0.307419,0.174387,0.129684,0.202422,0.199097,0.205561,0.155924,0.339344,0.560567,0.907614,0.482372,0.413714,0.2822,0.147913,0.239496,0.433335,0.467126,0.292801,0.183037,0.663626,0.508185,0.254768,0.083122,0.076032,0.793651,0,0.75188,0.087395,0.239456,0.19601,0,1,1,0,0,0 +0.139171,0.154099,0.112349,0.606269,0.521211,0.50878,0.268672,0.492224,0.318918,0.523454,0.625502,0.478658,0.593345,0.50136,0.386968,0.415412,0.096556,0.400074,0.076001,0.139072,0.141179,0.200958,0.122629,0.302328,0.37091,0.49515,0.491667,0.441156,0.720795,0.52388,0.794985,0.335713,0.041745,0.365321,0.10526,0.1085,0.206824,0.192444,0.296631,0.413664,0.357328,0.316208,0.221659,0.167076,0.238465,0.166209,0.250064,0.112823,0.329024,0.750387,0.903781,0.546473,0.264049,0.215071,0.250914,0.44438,0.704689,0.696311,0.498572,0.727444,0.729216,0.433374,0.377745,0.232144,0.022076,0.190476,0.025382,0.180451,0.071817,0.035933,0.046989,1,1,0,0,0,0 +0.61782,0.339156,0.196028,0.598284,0.239566,0.304144,0.401365,0.506736,0.121841,0.462149,1,0.74482,0.292704,0.274277,0.412889,0.243754,0.411603,0.337428,0.120471,0.20275,0.250397,0.59416,0.433204,0.516357,0.562709,0.627309,0.584793,0.376584,0.452287,0.524275,0.426291,0.275081,0.134855,0.111602,0.090349,0.178554,0.192463,0.444779,0.485061,0.469117,0.443999,0.24327,0.234841,0.192628,0.1771,0.265219,0.124417,0.162859,0.439268,0.243412,0.889886,0.499943,0.27948,0.446616,0.307287,0.452743,0.471241,0.485241,0.307153,0.194182,0.272085,0.321353,0.161489,0.185291,0.089999,0.238095,0.372498,0.225564,0.280771,0.400934,0.361893,0,1,1,0,0,0 +0.109032,0.057261,0.220608,0.473897,0.305948,0.672558,0.530144,0.712272,0.673544,0.793953,0.74454,0.562886,0.919653,0.533228,0.419769,0.439787,0.171512,0.277438,0.144874,0.292929,0.312657,0.206489,0.200228,0.260494,0.31408,0.364109,0.272231,0.192901,0.373267,0.34485,0.283647,0.170153,0.109233,0.156947,0.168369,0.206782,0.357278,0.137013,0.206985,0.31595,0.266219,0.102193,0.088022,0.118345,0.193038,0.215631,0.157975,0.083414,0.367217,0.380608,0.862227,0.527902,0.28661,0.313088,0.314065,0.378427,0.435682,0.424662,0.305483,0.197777,0.352468,0.317542,0.078937,0.102305,0.013743,0.253968,0.004689,0.75188,0.043062,0.011839,0.019301,0,0,0,0,1,1 +0.768183,0.812458,0.250407,0.623143,0.217415,0.523148,0.230661,0.677101,0.323429,0.495282,0.489991,0.686489,0.571206,0.756766,0.413325,0.378108,0.822183,0.684024,0.117666,0.277789,0.405276,0.418863,0.25764,0.345221,0.263409,0.320791,0.241499,0.160499,0.392493,0.357989,0.227324,0.183431,0.096685,0.291346,0.08982,0.133679,0.154075,0.352822,0.254441,0.303562,0.087985,0.052731,0.051285,0.034721,0.03183,0.059088,0.046678,0.045787,0.208773,0.008583,0.879432,0.395942,0.129895,0.214283,0.144699,0.069241,0.139663,0.159183,0.06753,0.028402,0.103785,0.020597,0.041448,0.056294,0.973682,0.222222,0.960516,0.210526,0.92359,0.966259,1,1,0,0,0,0,0 +0.244165,0.117017,0.127429,0.565189,0.437677,0.518322,0.642833,0.739074,0.558104,0.74057,0.566799,0.571037,0.840189,0.332771,0.163402,0.26808,0.197361,0.23791,0.100745,0.122717,0.290448,0.259561,0.150202,0.171761,0.251004,0.426861,0.289324,0.232507,0.261559,0.191681,0.282471,0.143068,0.120079,0.258701,0.114007,0.206009,0.392514,0.404935,0.27303,0.304379,0.22006,0.134889,0.115924,0.1052,0.131562,0.108974,0.164162,0.058278,0.450175,0.41078,0.907178,0.445289,0.458749,0.31195,0.300344,0.162691,0.390058,0.434832,0.260989,0.096494,0.130254,0.101776,0.071036,0.049758,0.039502,0.507937,0.241883,0.481203,0.111483,0.468965,0.4684,0,0,0,0,0,1 +0.889602,0.766633,0.160446,0.723774,0.133871,0.427436,0.305231,0.628532,0.44478,0.416948,0.517556,0.569538,0.510473,0.504841,0.257773,0.350712,0.761718,0.601262,0.085947,0.202113,0.200284,0.399749,0.198198,0.21179,0.167074,0.334988,0.167479,0.181386,0.189599,0.20373,0.328559,0.179694,0.077744,0.154003,0.011976,0.086531,0.045514,0.1208,0.123253,0.161158,0.125177,0.098554,0.075482,0.06043,0.040355,0.070277,0.071315,0.037341,0.115349,0.057422,0.922075,0.354112,0.035237,0.109847,0.116057,0.114272,0.131043,0.171175,0.046648,0.070216,0.036995,0.041913,0.050433,0.058934,0.743214,0.253968,0.794003,0.240602,0.669143,0.798711,0.773235,1,0,0,0,0,0 +0.277834,0.215109,0.18175,0.584111,0.349644,0.545356,0.50769,0.515249,0.254929,0.558955,0.367239,0.507562,0.470141,0.422245,0.305575,0.43725,0.316557,0.478459,0.162653,0.296726,0.239842,0.31248,0.502,0.399342,0.389948,0.455869,0.48026,0.219425,0.356323,0.267333,0.311277,0.213169,0.222088,0.285685,0.117823,0.221435,0.173259,0.207349,0.412173,0.360063,0.357162,0.203177,0.193792,0.161408,0.328382,0.224018,0.131325,0.093155,0.437487,0.254277,0.858742,0.374195,0.179707,0.403488,0.632086,0.573325,0.416919,0.348188,0.32458,0.17794,0.218719,0.116358,0.112891,0.07746,0.172951,0.142857,0.008157,0.135338,0.311388,0.04438,0.247212,0,1,1,0,0,0 +0.192543,0.06946,0.064996,0.369251,0.464419,0.614952,0.427388,0.655203,0.512752,0.548622,0.465315,0.465272,0.808243,0.410669,0.399695,0.502772,0.127383,0.142125,0.063261,0.198454,0.198103,0.263973,0.150148,0.20231,0.100945,0.316244,0.265451,0.230418,0.408644,0.43238,0.56139,0.402323,0.050036,0.119773,0.145532,0.29014,0.383904,0.411428,0.209858,0.281425,0.149105,0.190556,0.110777,0.218625,0.341862,0.267856,0.309521,0.201495,0.360001,0.374478,0.92177,0.581065,0.407158,0.417308,0.203767,0.249222,0.228141,0.347824,0.276653,0.229353,0.451063,0.309201,0.233271,0.328425,0.065107,0.444444,0.127395,0.421053,0.225309,0.098463,0.2443,0,0,1,1,1,0 +0.417086,0.322471,0.276365,0.734529,0.17413,0.767152,0.472332,0.827637,0.444256,0.760202,0.669456,0.46132,0.679223,0.732379,0.218647,0.241553,0.452573,0.542602,0.203404,0.244864,0.410458,0.602968,0.212939,0.312129,0.226383,0.770847,0.247666,0.115389,0.202511,0.333326,0.973268,0.268432,0.083546,0.137339,0.155513,0.012561,0.066075,0.247158,0.095065,0.18347,0.174174,0.164431,0.106923,0.047968,0.035412,0.033807,0.081019,0.018785,0.224987,0.102713,0.846023,0.498985,0.062252,0.218712,0.018863,0.152046,0.068766,0.188351,0.072104,0.064675,0.048034,0.025959,0.091412,0.047655,0.074935,0.253968,0.063284,0.240602,0.104269,0.070066,0.129771,1,0,0,0,0,1 +0.177414,0.202468,0.155883,0.563627,0.462262,0.213058,0.55755,0.593736,0.483131,0.836,0.540393,0.477015,0.499617,0.524942,0.432298,0.617289,0.181681,0.446484,0.142464,0.323176,0.367999,0.380489,0.583549,0.561281,0.464757,0.619284,0.472428,0.365676,0.50611,0.373702,0.499278,0.2936,0.097255,0.292109,0.122578,0.233237,0.4112,0.296603,0.532712,0.507242,0.282727,0.253857,0.217422,0.161028,0.29047,0.269317,0.277042,0.121824,0.290391,0.627364,0.870633,0.371197,0.280752,0.32018,0.4427,0.405132,0.423585,0.427162,0.548415,0.210961,0.347328,0.203381,0.18896,0.148939,0.332896,0.365079,0.048737,0.345865,0.541517,0.020198,0.3609,0,0,1,0,1,0 +0.41457,0.299236,0.189601,0.650312,0.333612,0.403536,0.40987,0.395865,0.260284,0.251511,0.341608,0.496998,0.68314,0.371761,0.363637,0.297016,0.323561,0.408087,0.123057,0.273084,0.405808,0.484304,0.482026,0.479581,0.557403,0.711589,0.704861,0.404122,0.563757,0.518525,0.405722,0.30394,0.155133,0.28673,0.067101,0.436145,0.397117,0.370759,0.632333,0.402724,0.373114,0.405172,0.420622,0.209368,0.306033,0.341016,0.198977,0.103525,0.40708,0.405084,0.86876,0.553654,0.592647,0.51431,0.6235,0.416699,0.865143,0.843644,0.459883,0.264218,0.394303,0.413518,0.152088,0.230626,0.069457,0.761905,0.118563,0.721805,0.184166,0.114981,0.25408,0,0,0,0,0,1 +0.321401,0.182252,0.190606,0.707852,0.467847,0.006722,0.711978,0.346019,0.668475,0.445811,0.453526,0.60676,0.623216,0.798083,0.283501,0.490184,0.187211,0.128699,0.092658,0.208564,0.250772,0.28774,0.357382,0.343817,0.512199,0.564878,0.449278,0.356349,0.467855,0.437888,0.473552,0.255727,0.146636,0.201742,0.06399,0.221497,0.356051,0.248403,0.405029,0.488777,0.464634,0.214083,0.258045,0.218303,0.308227,0.3041,0.162874,0.10527,0.300141,0.224163,0.896855,0.440381,0.301225,0.316524,0.318369,0.375403,0.522598,0.508319,0.23075,0.227954,0.278482,0.171001,0.161534,0.125814,0.014027,0.222222,0.127767,0.210526,0.04282,0.194518,0.11486,0,0,1,0,0,0 +0.327653,0.35062,0.240286,0.805318,0.154951,0.257865,0.188295,0.60295,0.668214,0.646934,0.648126,0.542587,0.8535,0.547772,0.46092,0.562972,0.329395,0.563794,0.13923,0.208712,0.099032,0.251345,0.15808,0.22257,0.183969,0.231752,0.154531,0.091001,0.174666,0.106533,0.113327,0.068421,0.036224,0.157659,0.064518,0.003608,0.10523,0.074337,0.208592,0.136877,0.123139,0.027671,0,0.009073,0.027752,0.015264,0.009854,0.009288,0.224913,0.097662,0.859831,0.380296,0.179314,0,0.30871,0.059331,0.123515,0.146864,0.074091,0.008372,0.017003,0.0444,0.007542,0.028941,0.438474,0.253968,0.553869,0.240602,0.428679,0.553543,0.51557,1,0,0,0,0,1 +0.171021,0.64431,0.373938,0.641196,0.286978,0.330515,0.52364,0.563232,0.373818,0.672727,0.326341,0.355637,0.73838,0.457105,0.471217,0.549835,0.248772,0.885551,0.344647,0.380907,0.54674,0.706329,0.652969,0.57853,0.595041,0.675694,0.756554,0.461735,0.782642,0.580691,0.703951,0.468398,0.087345,0.377979,0.139133,0.151221,0.215643,0.216443,0.336197,0.49668,0.310659,0.257306,0.216118,0.132229,0.157612,0.146768,0.156648,0.094729,0.373588,0.165967,0.766704,0.321104,0.326632,0.428023,0.465323,0.338654,0.522939,0.420597,0.389743,0.24361,0.421766,0.341487,0.233661,0.260854,0.216273,0.571429,0.089874,0.541353,0.256502,0.066335,0.272182,1,0,0,0,0,1 +0.515936,0.58442,0.237145,0.810956,0.212205,0.354888,0.322359,0.514662,0.333143,0.425845,0.508776,0.468496,0.699374,0.555302,0.46892,0.30275,0.421121,0.558457,0.141793,0.213573,0.239616,0.290653,0.18376,0.287841,0.308843,0.424813,0.378786,0.188538,0.364551,0.329045,0.3017,0.197948,0.360761,0.423953,0.500117,0.22668,0.198083,0.301845,0.168882,0.275756,0.41396,0.36155,0.188349,0.106339,0.234651,0.209608,0.146164,0.077715,0.545436,0.839572,0.953001,0.50122,0.450124,0.330765,0.208345,0.323428,0.56802,0.604962,0.531428,0.160902,0.348314,0.30226,0.130133,0.200855,0.433182,0.190476,0.328048,0.180451,0.507231,0.450035,0.513244,1,1,0,0,0,0 +0.303432,0.198995,0.08586,0.852213,0.352705,0.36768,0.529555,0.452526,0.272796,0.617689,0.562485,0.51807,0.556714,0.636713,0.271586,0.330259,0.120002,0.128937,0.049421,0.052579,0.05886,0.117515,0.210692,0.167186,0.140396,0.312427,0.220977,0.128551,0.233408,0.191275,0.214476,0.155288,0.036121,0.193415,0.195785,0.184583,0.253135,0.284587,1,0.36763,0.37915,0.488314,0.186265,0.113456,0.216028,0.191718,0.177744,0.134199,0.327445,0.294833,0.935839,0.428211,0.202054,0.176791,0.42218,0.155781,0.250283,0.423042,0.123643,0.13424,0.139843,0.180653,0.064063,0.090897,0.023206,0.301587,0.04405,0.285714,0.099365,0.127966,0.139928,0,1,0,0,0,0 +0.381468,0.199851,0.050075,0.825516,0.331401,0.479448,0.453903,0.577188,0.31625,0.194954,0.400297,0.282678,0.507462,0.286395,0.387289,0.38234,0.172163,0.161347,0.046142,0.112549,0.102873,0.090018,0.02827,0.126567,0.065082,0.115042,0.317337,0.139901,0.329181,0.314977,0.429699,0.254025,0.088319,0.162932,0.137783,0.116709,0.180151,0.161734,0.182896,0.29873,0.406294,0.15439,0.229856,0.144387,0.25017,0.245703,0.386047,0.225871,0.282055,0.199307,0.931876,0.341486,0.215921,0.24722,0.089475,0.195944,0.211915,0.196532,0.543364,0.171604,0.263385,0.396073,0.466128,0.323023,0.057812,0.650794,0.032472,0.616541,0.117363,0.24943,0.250217,1,0,0,0,0,0 +0.354617,0.570988,0.277178,0.632552,0.133238,0.35035,0.417538,0.857355,0.570713,0.651609,0.724823,0.428346,0.630619,0.649337,0.359732,0.500606,0.412061,0.755428,0.174172,0.295679,0.299624,0.422239,0.392376,0.353836,0.293429,0.316168,0.211117,0.111092,0.255365,0.217742,0.195074,0.132524,0.149659,0.141142,0.031232,0.113303,0.135057,0.292182,0.28167,0.242369,0.134517,0.091228,0.06292,0.043178,0.007529,0.066368,0.030599,0.020898,0.405795,0.047754,0.848332,0.345205,0.050271,0.25398,0.058465,0.164894,0.189028,0.199372,0.117328,0.04245,0.038575,0.043234,0.021381,0.022677,0.281494,0.253968,0.366258,0.240602,0.28944,0.384926,0.359214,1,0,0,0,0,1 +0,0.877945,0.901952,0.259437,0.691311,0.829686,0.449818,0.618629,0.547988,0.631282,0.56852,0.409549,0.690857,0.514054,0.33319,0.289906,0.010466,0.994183,0.933009,0.399481,0.601706,0.245673,0.291806,0.299171,0.348783,0.4109,0.408948,0.064089,0.528827,0.383766,0.323016,0.423655,0.041595,0.372715,1,0.226096,0.294677,0.115866,0.117952,0.160215,0.098865,0.060775,0.027226,0.022686,0.031616,0.031829,0.035916,0.03314,0.381998,0.060191,0.72001,0.495173,0.534196,0.169648,0.136323,0.202026,0.20666,0.273715,0.210669,0.097659,0.327003,0.15359,0.09917,0.232859,0.197969,0.190476,0.4127,0.180451,0.299918,0.520948,0.430029,0,0,0,0,0,1 +0.619688,0.316086,0.066702,0.804038,0.307666,0.314008,0.367759,0.433272,0.307104,0.376045,0.46962,0.351082,0.56767,0.426063,0.407462,0.488817,0.169159,0.149355,0.02493,0.056269,0.09124,0.177689,0.476501,0.306046,0.273579,0.411528,0.317621,0.244102,0.354832,0.252072,0.280508,0.244934,0.032041,0.150362,0.249501,0.034526,0.071492,0.269732,0.300965,0.264765,0.194166,0.168237,0.113886,0.117012,0.151609,0.14477,0.137217,0.109322,0.274049,0.254605,0.958925,0.547329,0.36611,0.349137,0.495973,0.332093,0.349896,0.406446,0.198707,0.180937,0.241469,0.10501,0.078397,0.158604,0.04695,0.507937,0.068526,0.481203,0.233406,0.083901,0.339899,0,1,0,0,0,0 +0.392968,0.39736,0.16571,0.64773,0.257435,0.483412,0.346548,0.590712,0.402133,0.436843,0.454893,0.334015,0.79211,0.516608,0.431253,0.20371,0.465795,0.629453,0.095057,0.172031,0.232142,0.232645,0.142834,0.189542,0.2006,0.327238,0.324564,0.166797,0.298024,0.320213,0.463939,0.291983,0.129998,0.282487,0.052248,0.143136,0.062529,0.113128,0.080394,0.153345,0.202038,0.121884,0.093347,0.047876,0.110766,0.208727,0.280242,0.151758,0.337618,0.163121,0.9023,0.397445,0.116981,0.13879,0.097998,0.132435,0.163159,0.278259,0.138144,0.110289,0.154829,0.10867,0.11111,0.157417,0.316742,0.222222,0.408044,0.210526,0.402253,0.400142,0.433574,1,0,0,0,0,0 +0.165309,0.036699,0.050221,0.480234,0.84865,0.507658,0.536921,0.392445,0.408175,0.456315,0.392244,0.475342,0.550006,0.528942,0.550942,0.33025,0.025706,0.01624,0.058596,0.123022,0.1189,0.141975,0.056713,0.175052,0.057247,0.18236,0.157275,0.091575,0.230831,0.255077,0.354433,0.243372,0.052544,0.109564,0.141071,0.291289,0.318037,0.440733,0.34815,0.664309,0.302923,0.240291,0.196926,0.181771,0.285332,0.278532,0.550485,0.280492,0.35822,0.2653,0.918765,0.608306,0.677868,0.318204,0.195484,0.258052,0.156856,0.313058,0.178906,0.092802,0.297185,0.374792,0.455347,0.425192,0.00637,0.365079,0,0.345865,0.07213,0.01287,0.032836,0,0,0,1,1,0 +0.409927,0.177913,0.119668,0.6177,0.572229,0.078231,0.362937,0.2258,0.626072,0.558967,0.736731,0.476288,0.154517,0.393099,0.564387,0.407506,0.137892,0.101591,0.138096,0.203497,0.368981,0.26332,0.112973,0.092962,0.181376,0.19324,0.169885,0.130898,0.20928,0.171636,0.3412,0.058575,0.01734,0.010916,0.063931,0.074092,0.192091,0.20909,0.083702,0.120225,0.188077,0.116219,0.088286,0.045507,0.100136,0.033849,0.129519,0.039553,0.262408,0.18843,0.872985,0.484295,0.364878,0.325012,0.09838,0.040769,0.187945,0.1865,0.163757,0.057705,0.185883,0.022151,0.100038,0.015092,0.291971,0.190476,0.419126,0.180451,0.314244,0.425717,0.39529,1,0,0,0,0,1 +0.56927,0.611425,0.192097,0.671812,0.221561,0.543654,0.244572,0.573246,0.411348,0.544886,0.643244,0.585091,0.328313,0.673969,0.373044,0.529244,0.829881,0.793983,0.145468,0.27036,0.346058,0.356096,0.252373,0.247435,0.188825,0.247594,0.069789,0.095919,0.208853,0.271704,0.333195,0.178333,0.026099,0.122716,0.096395,0.055668,0.114581,0.12767,0.043278,0.091935,0.041633,0.047117,0.059699,0.046828,0.077393,0.054386,0.008879,0.010013,0.081526,0.025561,0.891846,0.376174,0.343216,0.121802,0.002758,0.072779,0.049071,0.07496,0.017788,0.039468,0.056338,0.012792,0.029328,0.051874,0.563567,0.222222,0.36436,0.210526,0.616979,0.400202,0.560287,1,0,0,0,0,1 +0.280102,0.344806,0.222212,0.5004,0.305443,0.575639,0.592639,0.481278,0.313636,0.633678,0.53506,0.476912,0.568737,0.549362,0.433903,0.550868,0.338882,0.600428,0.239633,0.324609,0.256329,0.411802,0.489241,0.393807,0.466566,0.579019,0.522674,0.229185,0.324167,0.297154,0.302866,0.178657,0.301414,0.626083,0.116532,0.197361,0.14538,0.233663,0.431737,0.31282,0.468176,0.264678,0.256351,0.137363,0.189092,0.210328,0.243911,0.188775,0.647693,0.462935,0.8641,0.44199,0.235637,0.605971,0.413291,0.569341,0.552777,0.521738,0.494595,0.168218,0.278233,0.20544,0.136365,0.154231,0.013253,0.761905,0.013748,0.721805,0.017544,0.040456,0.035927,0,1,1,1,0,0 +0.275248,0.403857,0.134048,0.514392,0.183625,0.394698,0.668564,0.546492,0.537003,0.385729,0.564611,0.187274,0.397107,0.548451,0.623401,0.776604,0.240257,0.57727,0.125906,0.21045,0.20703,0.416707,0.339906,0.2209,0.234273,0.468973,0.319815,0.189769,0.422159,0.39516,0.442,0.248057,0.299234,0.638233,0.188505,0.531654,0.19175,0.31712,0.406338,0.526044,0.273767,0.211698,0.133983,0.143152,0.300554,0.259401,0.338382,0.170628,0.345311,0.719752,0.876731,0.520927,0.156136,0.435983,0.248401,0.221665,0.371705,0.244202,0.080026,0.117816,0.211708,0.10599,0.134869,0.130899,0.018256,0.253968,0.051696,0.240602,0.096564,0.202864,0.239445,0,0,1,0,1,0 +0.21157,0.073783,0.062477,0.538135,0.498287,0.672279,0.440346,0.540418,0.532812,0.194522,0.333676,0.392815,0.421221,0.429817,0.432058,0.433676,0.084412,0.107806,0.088841,0.2213,0.269331,0.276457,0.046397,0.180192,0.130481,0.35747,0.303578,0.159263,0.181602,0.32472,0.451149,0.305727,0.093868,0.163985,0.081543,0.174137,0.322782,0.310723,0.138762,0.434499,0.251663,0.203609,0.204644,0.221281,0.271596,0.245228,0.304085,0.18705,0.322745,0.375757,0.912449,0.657512,0.501956,0.446511,0.151537,0.336564,0.281851,0.495981,0.379492,0.265536,0.41637,0.516892,0.310616,0.506115,0.059806,0.761905,0,0.721805,0.030459,0.342685,0.195405,0,0,0,1,1,0 +0.34985,0.377123,0.185828,0.660065,0.25471,0.548,0.229295,0.531414,0.388633,0.586376,0.685282,0.443725,0.732309,0.412934,0.408882,0.615393,0.360463,0.621752,0.137645,0.245674,0.147416,0.263247,0.162281,0.297541,0.250009,0.534023,0.255114,0.263635,0.490959,0.512611,0.344115,0.168123,0.068836,0.144257,0.060409,0.063031,0.109036,0.093612,0.086024,0.073631,0.103044,0.070613,0.051533,0.069788,0.101171,0.117579,0.051242,0.025328,0.269569,0.078132,0.891193,0.394161,0.065221,0.10148,0.062864,0.086634,0.206509,0.182021,0.09677,0.124709,0.173804,0.338121,0.062332,0.068239,0.75246,0.253968,0.710509,0.240602,0.691252,0.706972,0.738219,0,0,0,0,0,1 +0.124814,0.092139,0.064578,0.506833,0.535197,0.589194,0.508874,0.648214,0.517916,0.447698,0.570816,0.459852,0.873264,0.524177,0.270965,0.510095,0.118293,0.262192,0.044613,0.135254,0.177371,0.108502,0.132735,0.097865,0.087275,0.289002,0.245628,0.089295,0.166444,0.178637,0.292802,0.168237,0.16903,0.39487,0.233063,0.333115,0.368035,0.211012,0.335507,0.351183,0.475908,0.496306,0.382724,0.22347,0.262459,0.192787,0.454712,0.126513,0.722425,0.781809,0.924906,0.576972,0.526077,0.356,0.34201,0.286438,0.384048,0.659137,0.470525,0.207293,0.278686,0.17704,0.180991,0.199211,0.013967,0.031746,0.010028,0.030075,0.098539,0.03832,0.063768,0,0,1,1,1,0 +0.026154,0.499981,0.463955,0.462526,0.672975,0.649663,0.482278,0.638402,0.547203,0.737568,0.625839,0.420754,0.777526,0.542194,0.452009,0.412705,0.05213,0.983975,0.453742,0.455804,0.527973,0.490643,0.310827,0.263955,0.067978,0.037164,0.030001,0.025812,0.14388,0.238478,0.101265,0.061966,0.021523,0.152127,0.347012,0.148391,0.183169,0.166882,0.194684,0.125719,0.139966,0.06235,0.017586,0.00937,0.017838,0.043442,0.046352,0.011359,0.364885,0,0.688344,0.356812,0.323657,0.274982,0.179536,0.085857,0.163185,0.138591,0.03034,0.024483,0.076229,0.055093,0.053734,0.008978,0.38394,0.238095,0.406513,0.225564,0.385171,0.39864,0.418769,0,0,0,0,0,1 +0.404765,0.270542,0.177537,0.700948,0.271548,0.599532,0.557358,0.468924,0.327371,0.552125,0.455585,0.420639,0.568957,0.370797,0.392346,0.325745,0.328757,0.353393,0.080523,0.214042,0.305989,0.412007,0.607452,0.428584,0.533237,0.639983,0.62303,0.330681,0.452761,0.366667,0.53555,0.332622,0.15357,0.224262,0.162499,0.084989,0.16561,0.397835,0.347891,0.296207,0.295048,0.203742,0.107685,0.07849,0.131842,0.092126,0.102965,0.124503,0.296157,0.28622,0.886924,0.41463,0.354335,0.435307,0.387832,0.285132,0.411893,0.327448,0.398287,0.136348,0.203001,0.164768,0.192655,0.165409,0.159479,0.650794,0.005181,0.616541,0.046821,0.237305,0.168695,0,0,0,0,0,1 +0.153565,0.056607,0.194413,0.694914,0.454345,0.551063,0.521109,0.503723,0.632194,0.575997,0.545525,0.360228,0.856125,0.455828,0.35001,0.449991,0.119067,0.135399,0.117534,0.333353,0.262455,0.32453,0.573699,0.404314,0.603182,0.794893,0.48875,0.279778,0.407983,0.332684,0.48889,0.265248,0.048951,0.081845,0.100387,0.126107,0.169782,0.255894,0.379043,0.265724,0.284992,0.327056,0.130719,0.113523,0.13393,0.158648,0.146898,0.101162,0.321331,0.244568,0.881218,0.337075,0.186133,0.281439,0.296444,0.412081,0.503335,0.702015,0.313225,0.195476,0.244871,0.15888,0.161347,0.150189,0.07893,0.285714,0,0.270677,0.180309,0.151972,0.164225,0,1,0,0,0,0 +0.264574,0.128282,0.238365,0.598004,0.563406,0.33051,0.468607,0.614129,0.367713,0.740597,0.532729,0.263067,0.459347,0.592338,0.262929,0.589772,0.28513,0.283244,0.175514,0.239654,0.389879,0.408555,0.536955,0.452312,0.498024,0.650569,0.374693,0.356423,0.46126,0.332586,0.546594,0.340712,0.117917,0.157446,0.189562,0.133637,0.354787,0.252748,0.46833,0.400191,0.459293,0.291611,0.155494,0.188475,0.209802,0.131944,0.316396,0.164258,0.500432,0.324078,0.858655,0.443133,0.317452,0.430429,0.260551,0.386921,0.518405,0.426329,0.196899,0.21899,0.23555,0.136681,0.198438,0.186395,0.069761,0.365079,0,0.345865,0.333718,0.138605,0.239878,0,0,1,0,0,0 +0.339764,0.246647,0.142384,0.650361,0.265428,0.562666,0.367106,0.539536,0.634844,0.626407,0.702406,0.529535,0.652548,0.503436,0.310698,0.301007,0.400988,0.453939,0.143795,0.229469,0.229772,0.254665,0.19276,0.161563,0.159929,0.291502,0.245129,0.317862,0.391478,0.174856,0.407243,0.238469,0.06237,0.062398,0.081014,0.102487,0.035986,0.04924,0.079275,0.120434,0.193937,0.133026,0.05917,0.062677,0.071123,0.049091,0.080828,0.034462,0.197701,0.116828,0.888056,0.435824,0.248821,0.198743,0.137557,0.110768,0.352502,0.307759,0.256028,0.30558,0.383195,0.130058,0.137561,0.194295,0.476953,0.269841,0.578804,0.255639,0.474095,0.572281,0.555729,1,0,0,0,0,1 +0.236098,0.228706,0.146089,0.814389,0.307968,0.387944,0.259593,0.741403,0.478116,0.613966,0.621558,0.568621,0.760806,0.675999,0.350555,0.631359,0.190704,0.479973,0.106576,0.169437,0.253131,0.341743,0.173131,0.208275,0.555624,0.329974,0.364363,0.19476,0.532574,0.397255,0.438447,0.162948,0.0185,0.04937,0.124457,0.029661,0.156698,0.088165,0.079362,0.177402,0.14323,0.033392,0.046371,0.025152,0.055988,0.02109,0.016171,0.027193,0.263198,0.153154,0.879127,0.387901,0.156658,0.148237,0.013091,0.119677,0.181624,0.080392,0.079903,0,0.079505,0,0.042327,0.010134,0.267674,0.253968,0.011406,0.240602,0.257916,0.011185,0.17029,0,0,0,0,0,1 +0.389243,0.234629,0.269169,0.753977,0.333702,0.501065,0.309499,0.731402,0.377789,0.349491,0.571522,0.230662,0.848985,0.600005,0.417616,0.408844,0.353094,0.338167,0.189729,0.251917,0.380391,0.526835,0.698679,0.552599,0.422041,0.590446,0.569321,0.345487,0.534316,0.486925,0.656187,0.309623,0.058205,0.094045,0.113949,0.135675,0.212121,0.336199,0.400016,0.473886,0.26997,0.250495,0.199311,0.174813,0.232917,0.19609,0.222285,0.091384,0.329135,0.161496,0.851729,0.349708,0.248171,0.48159,0.407337,0.400836,0.28088,0.353997,0.254809,0.280862,0.214738,0.155992,0.148615,0.091187,0.034867,0.190476,0.370504,0.180451,0.115707,0.483488,0.306188,0,0,1,0,1,0 +0.501849,0.294975,0.231802,0.64198,0.173722,0.444706,0.465647,0.567687,0.632964,0.676804,0.710546,0.55853,0.722982,0.594382,0.462067,0.48194,0.561918,0.413623,0.15318,0.347115,0.29324,0.678322,0.590736,0.43917,0.42768,0.586166,0.38117,0.30906,0.354198,0.351604,0.38087,0.231455,0.189626,0.166074,0.087648,0.140777,0.117029,0.164572,0.245323,0.266326,0.180449,0.158771,0.072685,0.062976,0.041706,0.057822,0.0924,0.046935,0.459191,0.175946,0.873029,0.353565,0.24592,0.37113,0.248889,0.383126,0.323661,0.397266,0.174134,0.17008,0.167046,0.157569,0.12338,0.116327,0.130291,0.142857,0,0.593985,0.124117,0.054702,0.142971,0,0,0,0,0,1 +0.258381,0.078984,0.071107,0.337528,0.588065,0.274566,0.308305,0.540561,0.348827,0.439535,0.436728,0.145011,0.151049,0.240039,0.169757,0.08118,0.062676,0.064121,0.051819,0.181436,0.145422,0.164407,0.090763,0.120927,0.128795,0.232564,0.188252,0.182868,0.35358,0.362987,0.42304,0.416546,0.201173,0.156425,0.242515,0.662951,0.498241,0.661667,0.325051,0.334258,0.390011,0.363163,0.350566,0.446391,0.660324,0.556986,0.981195,1,0.354566,0.306765,0.89581,0.705032,0.575739,0.57584,0.185697,0.227506,0.429318,0.580678,0.323562,0.486375,0.871138,0.852478,0.63688,0.958028,0.030335,0.968254,0,0.917293,0.070226,0.082915,0.084853,0,0,1,1,1,0 +0.404036,0.25087,0.290767,0.750261,0.284383,0.168594,0.179384,0.532868,0.634696,0.617134,0.619775,0.370761,0.491773,0.377278,0.452166,0.534364,0.289582,0.312685,0.158186,0.231871,0.266071,0.256225,0.166036,0.193031,0.250873,0.203053,0.148559,0.139849,0.22497,0.233491,0.256163,0.158045,0,0.094272,0.089586,0.016974,0.175781,0.147026,0.218741,0.202694,0.323382,0.132095,0.112286,0.158982,0.222293,0.087586,0.233924,0.077763,0.209655,0.271225,0.85321,0.410876,0.299042,0.181583,0.036837,0.097965,0.286652,0.126263,0.046935,0.092192,0.10533,0.028261,0.081335,0.048218,0.337471,0.253968,0.345849,0.240602,0.371024,0.432799,0.464744,0,0,0,0,0,1 +0.648898,0.638648,0.203326,0.734093,0.209218,0.468238,0.304663,0.633332,0.443948,0.558377,0.459448,0.350193,0.655722,0.450087,0.422235,0.358095,0.645259,0.671195,0.124058,0.170239,0.205483,0.196115,0.131455,0.118588,0.084448,0.290887,0.301214,0.206815,0.25498,0.241184,0.236975,0.178454,0.042737,0.145786,0.1588,0.072591,0.067034,0.08052,0.095659,0.060076,0.055012,0.060108,0.072587,0.088183,0.090035,0.061762,0.018366,0.046942,0.172968,0.211984,0.899686,0.374863,0.106267,0.157709,0.052403,0.07746,0.078607,0.251738,0.177146,0.114055,0.10273,0.091048,0.041988,0.062084,0.649524,0.222222,0.71795,0.210526,0.649831,0.750622,0.736061,1,0,0,0,0,0 +0.335137,0.311009,0.139289,0.58732,0.34214,0.430176,0.402904,0.441013,0.34138,0.605223,0.596649,0.46047,0.723073,0.764856,0.372032,0.493522,0.358308,0.55196,0.092174,0.230166,0.22409,0.443336,0.562074,0.48813,0.365314,0.62195,0.38793,0.284012,0.359562,0.452764,0.406243,0.256663,0.189916,0.33854,0.108489,0.179344,0.182908,0.300173,0.397968,0.430602,0.330123,0.225401,0.100542,0.159209,0.151344,0.176454,0.18552,0.111655,0.634564,0.473049,0.908703,0.489556,0.249316,0.40329,0.374829,0.266127,0.348481,0.528782,0.236118,0.211394,0.216614,0.274854,0.141743,0.129047,0.652646,0.222222,0.788412,0.210526,0.654147,0.773143,0.749666,0,0,1,0,1,0 +0.354207,0.210357,0.174013,0.563477,0.346101,0.294801,0.762124,0.493109,0.514574,0.621827,0.464183,0.478551,0.755534,0.775147,0.505663,0.67949,0.273946,0.264409,0.134213,0.384199,0.423336,0.40493,0.550632,0.479135,0.509656,0.893407,0.543391,0.417695,0.502715,0.374798,0.504627,0.445142,0.250489,0.247961,0.122402,0.315692,0.553229,0.232719,0.47859,0.605375,0.513974,0.628153,0.251666,0.165663,0.263309,0.161015,0.259321,0.237023,0.316024,0.373768,0.890496,0.499796,0.486623,0.379286,0.45494,0.594986,0.359275,0.553995,0.280936,0.240269,0.308861,0.159908,0.247951,0.271074,0.282529,0.365079,0.035649,0.345865,0.532329,0.074079,0.375315,0,0,1,1,1,0 +0.525655,0.36686,0.20023,0.726467,0.21593,0.591826,0.429285,0.49297,0.470069,0.570077,0.517208,0.440309,0.519494,0.524128,0.37606,0.429787,0.434707,0.430035,0.097499,0.26038,0.261734,0.383973,0.493793,0.511212,0.48392,0.568597,0.531906,0.256996,0.423833,0.345989,0.410776,0.248369,0.187427,0.233071,0.102677,0.092596,0.174662,0.228351,0.248952,0.217739,0.231192,0.194411,0.115443,0.123344,0.111587,0.096761,0.099888,0.076234,0.288463,0.210389,0.913886,0.480094,0.307016,0.289412,0.398559,0.401649,0.501998,0.365566,0.243499,0.166002,0.175542,0.09242,0.102557,0.064635,0.155476,0.111111,0.007276,0.548872,0.197409,0.056439,0.216653,0,0,0,0,0,1 +0.215932,0.302825,0.172217,0.551859,0.360503,0.682797,0.241034,0.451365,0.371751,0.498554,0.78864,0.877493,0.99392,0.458106,0.165481,0.456824,0.278819,0.632746,0.199894,0.335099,0.405051,0.370319,0.103638,0.074329,0.119123,0.110173,0.126284,0.070475,0.132657,0.201345,0.299816,0.327252,0.074872,0.371015,0.081954,0.24734,0.333221,0.009308,0.058749,0.324223,0.389459,0.072007,0.03661,0.078101,0.128652,0.049373,0.024381,0.201919,0.2941,0.404075,0.861617,0.424379,0.20972,0.033963,0.109102,0.135504,0.168863,0.11724,0.131859,0.17678,0.102987,0.161657,0.295077,0.415987,0.282274,0.253968,0.444347,0.240602,0.262328,0.545049,0.491194,0,0,0,0,0,1 +0.171415,0.085113,0.120064,0.845833,0.488677,0.378642,0.446743,0.491288,0.507957,0.357586,0.499698,0.286013,0.46301,0.404552,0.346302,0.337527,0.082041,0.081099,0.106081,0.133446,0.177191,0.119771,0.101923,0.14635,0.143025,0.245613,0.215181,0.14318,0.147713,0.201319,0.272351,0.148313,0.053526,0.148781,0.144887,0.109646,0.295083,0.178388,0.270368,0.282865,0.156373,0.205887,0.084812,0.135462,0.082315,0.129488,0.142092,0.136949,0.337875,0.26347,0.928783,0.543955,0.465203,0.204933,0.160393,0.223336,0.264399,0.429749,0.180449,0.227103,0.118249,0.142059,0.159983,0.148287,0.23408,0.111111,0,0.105263,0.271004,0.169293,0.365077,1,0,0,0,0,1 +0.283822,0.279081,0.283775,0.791627,0.338972,0.495008,0.391792,0.526482,0.182439,0.666535,0.524257,0.369857,0.636789,0.423259,0.495849,0.341305,0.322242,0.552233,0.192116,0.25845,0.361577,0.532473,0.520242,0.475238,0.703043,0.719548,0.671737,0.41233,0.571874,0.453066,0.544263,0.284979,0.069744,0.163824,0.193671,0.154471,0.117191,0.265157,0.225083,0.293242,0.302158,0.162874,0.139862,0.141194,0.153881,0.094398,0.209428,0.086376,0.376214,0.271114,0.907788,0.339314,0.400623,0.490811,0.371442,0.392507,0.535796,0.585986,0.298229,0.272094,0.311128,0.184448,0.115219,0.088327,0.083966,0,0.03043,0,0.135579,0.062912,0.093128,0,0,0,0,0,1 +0.532306,0.361773,0.162367,0.768207,0.221334,0.393933,0.299544,0.360969,0.374266,0.546031,0.639944,0.660311,0.843142,0.412625,0.441805,0.888125,0.414433,0.373927,0.102109,0.103634,0.168464,0.120645,0.055366,0.355184,0.241666,0.338362,0.176176,0.129476,0.248733,0.242835,0.329881,0.331271,0.096816,0.162548,0.203299,0.05015,0.214627,0.160434,0.219672,0.301222,0.206889,0.061718,0.055919,0.046994,0.068779,0.079783,0.036977,0.054065,0.303171,0.223031,0.905741,0.41718,0.250567,0.150818,0.109704,0.145695,0.130237,0.167994,0.082792,0.047109,0.172596,0.052287,0.11218,0.092194,0.499746,0.253968,0.58204,0.240602,0.454627,0.623222,0.566312,0,1,0,0,0,0 +0.901178,0.711695,0.238399,0.702332,0,0.40354,0.032214,0.575575,0.562515,0.659285,0.505736,0.629865,0.491911,0.604465,0.404169,0.383176,0.829992,0.557563,0.149318,0.318989,0.224694,0.310341,0.450648,0.329876,0.235472,0.227234,0.200463,0.138752,0.164363,0.200557,0.219221,0.22024,0.101644,0.12628,0.079018,0.045974,0.121749,0.022118,0.090938,0.090991,0.049558,0.039007,0.010902,0.018795,0.006693,0.000491,0.00777,0.00616,0.010778,0.088873,0.85064,0.337399,0.202152,0.037442,0.063613,0.079107,0.136087,0.077893,0.032807,0.030557,0.043922,0.028355,0.031029,0.025761,0.832583,0.222222,0.756578,0.210526,0.830513,0.769749,0.841194,1,0,0,0,0,0 +0.259823,0.360991,0.285424,0.581134,0.346716,0.435223,0.450239,0.505717,0.353243,0.624278,0.453857,0.544088,0.81913,0.46508,0.31048,0.302397,0.367926,0.687942,0.230304,0.397046,0.247581,0.381593,0.668808,0.536885,0.49611,0.663402,0.5507,0.331104,0.542653,0.411747,0.608388,0.373777,0.193659,0.38792,0.20964,0.215629,0.21421,0.25718,0.467064,0.404173,0.317745,0.170984,0.197741,0.143093,0.268776,0.190012,0.244804,0.151883,0.793449,0.395111,0.865711,0.368198,0.195661,0.397856,0.564007,0.498458,0.544334,0.474372,0.353547,0.152345,0.323118,0.261737,0.244637,0.277174,0.198356,0.111111,0,0.105263,0.249881,0.030012,0.219744,0,1,1,0,0,0 +0.335898,0.510993,0.517384,0.664977,0.221419,0.442093,0.552853,0.87894,0.489783,0.382496,0.809999,0.165677,0.338789,0.424896,0.661428,0.05967,0.449031,0.750496,0.436513,0.443222,0.328752,0.344109,0.382341,0.575966,0.30999,0.477165,0.924964,0.87266,0.947628,0.455425,0.836242,1,0.024901,0.305784,0.501879,0.103782,0.034665,0.081618,0.024214,0.18955,0.07151,0.031825,0.071353,0.065683,0.148582,0.051887,0.092471,0.072788,0.258956,0.092505,0.768142,0.491417,0.226162,0.117299,0.130809,0.09254,0.338528,0.232693,0.277551,0.301217,0.156889,0.109171,0.104359,0.323284,0.668119,0.126984,0.585795,0.120301,0.679256,0.57445,0.663446,1,0,0,0,0,1 +0.391915,0.197689,0.11689,0.684527,0.393206,0.393345,0.335035,0.483967,0.454324,0.386292,0.44822,0.297967,0.843149,0.562791,0.27249,0.615338,0.136957,0.164358,0.052083,0.206903,0.111435,0.349117,0.422855,0.240373,0.269889,0.5178,0.356508,0.277548,0.378247,0.375088,0.398993,0.306835,0.115204,0.172586,0.189269,0.119473,0.17944,0.328689,0.42543,0.275223,0.298112,0.273598,0.206158,0.229611,0.240155,0.211561,0.277588,0.116334,0.32291,0.314586,0.928914,0.472893,0.262338,0.441813,0.283355,0.30789,0.332699,0.433708,0.223403,0.26429,0.38486,0.224366,0.158049,0.203871,0.087841,0.174603,0.278095,0.165414,0.457716,0.476948,0.488095,0,0,1,0,0,0 +0.30245,0.257204,0.227758,0.703201,0.408121,0.417156,0.536995,0.407636,0.504469,0.244451,0.533097,0.239156,0.07186,0.407324,0.40553,0.45177,0.259387,0.41094,0.156646,0.244604,0.255749,0.341797,0.479489,0.478709,0.485695,0.641666,0.722905,0.644547,1,0.447021,0.752835,0.619313,0.189963,0.203369,0.057297,0.128666,0.143586,0.10284,0.322008,0.60209,0.43267,0.290641,0.231548,0.474202,0.588195,0.198481,0.481515,0.285414,0.275702,0.419093,0.876252,0.384756,0.215572,0.190297,0.233075,0.466005,0.422579,0.375772,0.430457,0.652165,0.956569,0.26738,0.408882,0.647143,0.526311,0.111111,0.001525,0.105263,0.543773,0.017235,0.285552,0,1,1,0,0,0 +0.545373,0.357981,0.158639,0.744633,0.271442,0.442322,0.372192,0.349821,0.311415,0.545161,0.418513,0.324738,0.534837,0.390787,0.385038,0.43535,0.514958,0.511747,0.0974,0.231406,0.335256,0.493984,0.631796,0.517829,0.426997,0.664382,0.503843,0.301565,0.486254,0.393981,0.429255,0.367268,0.290231,0.25762,0.162381,0.099368,0.207648,0.224106,0.299706,0.300811,0.190297,0.142082,0.084652,0.109503,0.146508,0.121093,0.153548,0.092378,0.63965,0.330725,0.900383,0.409786,0.315048,0.36612,0.316693,0.480418,0.270198,0.332858,0.198879,0.124434,0.327878,0.162603,0.096762,0.20946,0.081118,0.142857,0,0.135338,0.241894,0.040405,0.137604,0,0,0,0,0,1 +0.42166,0.347384,0.187511,0.703543,0.384056,0.352206,0.09023,0.510551,0.392044,0.702814,0.655036,0.422448,0.409919,0.341813,0.337406,0.417503,0.398276,0.523623,0.098225,0.191507,0.359646,0.347729,0.248891,0.20924,0.340275,0.368217,0.425296,0.202034,0.317684,0.364017,0.284311,0.261205,0.093203,0.242956,0.077433,0.117452,0.310461,0.64216,0.259065,0.233853,0.222241,0.135881,0.116971,0.089287,0.078671,0.129364,0.114544,0.081085,0.30385,0.406058,0.904129,0.399903,0.288901,0.357806,0.134218,0.142026,0.375799,0.259421,0.168629,0.121724,0.072083,0.171246,0.063038,0.122367,0.259202,0.253968,0.138137,0.240602,0.310798,0.197788,0.349368,1,0,0,0,0,0 +0.134528,0.409209,0.375734,0.56077,0.420273,0.375891,0.524273,0.473936,0.592031,0.318087,0.522554,0.345389,0.54747,0.50598,0.436758,0.437939,0.190889,0.786793,0.365023,0.398816,0.305643,0.283548,0.273871,0.305328,0.240954,0.394171,0.339812,0.181746,0.32813,0.341491,0.328259,0.18517,0.113631,0.43027,0.144065,0.146275,0.21337,0.115597,0.216346,0.204751,0.148344,0.11182,0.040965,0.035386,0.054583,0.077209,0.087172,0.059435,0.353042,0.560813,0.819627,0.374785,0.24796,0.209821,0.260795,0.216003,0.184765,0.254495,0.149871,0.112536,0.090954,0.169831,0.054299,0.041442,0.364974,0.206349,0.297941,0.195489,0.438118,0.342482,0.415007,0,1,0,0,0,0 +0.118929,0.025102,0.049363,0.429771,0.509186,0.777947,0.397948,0.659989,0.450749,0.652075,0.553525,0.222035,0.373149,0.413223,0.568996,0.444682,0.053944,0.056499,0.042324,0.199581,0.159213,0.445329,0.072323,0.098859,0.129185,0.206657,0.224796,0.178188,0.235574,0.218912,0.294823,0.129386,0.040407,0.139816,0.220031,0.260522,0.254057,0.395626,0.165191,0.233567,0.229366,0.16185,0.164799,0.164494,0.23192,0.168453,0.173697,0.10865,0.349479,0.334509,0.931832,0.602391,0.324603,0.699205,0.159237,0.149426,0.396508,0.345877,0.268795,0.274162,0.17428,0.231229,0.205144,0.101196,0.033625,0.698413,0.081353,0.661654,0.102029,0.219612,0.273056,0,0,0,1,1,0 +0.214372,0.070095,0.042766,0.227063,0.493987,0.688322,0.419444,0.594784,0.275556,0.493248,0.451281,0.185114,0.571282,0.053116,0.164258,0.128523,0.086388,0.122902,0.039431,0.272255,0.192412,0.329137,0.153723,0.110955,0.185617,0.251238,0.233137,0.208835,0.443302,0.519378,0.725046,0.726063,0.087009,0.14757,0.079899,0.601442,0.380042,0.412194,0.247876,0.297501,0.363729,0.193601,0.162064,0.212705,0.440071,0.400087,0.527003,0.431983,0.356218,0.431595,0.942286,0.801988,0.377366,0.59489,0.170657,0.128454,0.362075,0.328466,0.265511,0.331423,0.768109,0.597537,0.525073,0.900422,0.012279,0.428571,0.006914,0.406015,0.121886,0.016057,0.230144,0,0,1,1,0,0 +0.309031,0.162026,0.102126,0.178007,0.675938,0.038725,0.757229,0.568748,0.19189,0.976841,0.254665,0.205474,0.599772,0.46033,0.468776,0.446184,0.118193,0.082674,0.042666,0.188983,0.148628,0.397483,0.411294,0.328517,0.510279,0.654925,0.553611,0.41511,0.493962,0.411417,0.51713,0.369519,0.083883,0.107715,0.106023,0.343769,0.218013,0.343614,0.463524,0.757635,0.878074,0.601015,0.36287,0.260476,0.345659,0.363268,0.302549,0.17269,0.273021,0.18711,0.915716,0.708065,0.348892,0.578279,0.511451,0.396152,0.798629,0.84206,0.53063,0.440478,0.567448,0.283245,0.211781,0.336479,0.014921,0.507937,0.017457,0.481203,0.084176,0.011586,0.108396,0,1,1,0,0,0 +0.332081,0.321798,0.237473,0.578144,0.248963,0.488994,0.383485,0.482254,0.673913,0.549208,0.51397,0.482846,0.375296,0.663173,0.200913,0.312782,0.339712,0.513726,0.113133,0.239495,0.29982,0.366315,0.707683,0.58307,0.469078,0.705409,0.498217,0.301432,0.530485,0.522475,0.546304,0.350056,0.102196,0.272121,0.06487,0.110043,0.231579,0.344703,0.491745,0.418569,0.298313,0.27037,0.217226,0.106112,0.199158,0.192268,0.153461,0.169243,0.363398,0.437427,0.880477,0.554396,0.295517,0.266828,0.386609,0.399328,0.346544,0.521361,0.206763,0.129912,0.229605,0.22058,0.168276,0.101313,0.01301,0.031746,0.027062,0.030075,0.089555,0.126799,0.167974,0,0,1,0,0,0 +0.336897,0.331564,0.19282,0.663882,0.34937,0.586182,0.385497,0.543635,0.36633,0.485313,0.495113,0.350275,0.519907,0.494342,0.381748,0.354619,0.363529,0.596451,0.162059,0.231975,0.334251,0.340063,0.470837,0.475018,0.361179,0.552264,0.406566,0.23799,0.34085,0.361474,0.463545,0.311602,0.153206,0.257462,0.057297,0.12283,0.248772,0.294515,0.372405,0.51592,0.278201,0.295185,0.235546,0.152158,0.181628,0.145994,0.245708,0.149348,0.403977,0.292345,0.858002,0.413425,0.375216,0.331496,0.451838,0.465019,0.449984,0.48931,0.229315,0.262832,0.227399,0.30842,0.226208,0.30772,0.253528,0.761905,0,0.721805,0.011364,0.291111,0.156528,0,1,0,0,0,0 +0.279152,0.126524,0.071932,0.401023,0.603717,0.254884,0.492304,0.358367,0.38524,0.322497,0.596247,0.380064,0.345924,0.369435,0.309325,0.464746,0.07978,0.072469,0.036416,0.116442,0.137851,0.12001,0.07634,0.144185,0.162024,0.285382,0.30661,0.277486,0.458213,0.342948,0.368901,0.2934,0.091753,0.128854,0.11524,0.593889,0.500211,0.280453,0.319947,0.293054,0.312281,0.274018,0.323302,0.239358,0.392945,0.236273,0.186139,0.136636,0.329612,0.252963,0.928609,0.521232,0.354959,0.358975,0.136645,0.179462,0.278244,0.344187,0.381766,0.412781,0.546544,0.28003,0.213364,0.293333,0.028722,0.238095,0.056982,0.225564,0.134252,0.076674,0.141274,0,1,1,0,0,0 +0.227195,0.254846,0.251017,0.671161,0.300578,0.834903,0.370548,0.570613,0.460792,0.687961,0.673007,0.474528,0.598539,0.217563,0.287193,0.457338,0.297063,0.55946,0.235035,0.353575,0.508746,0.408269,0.337654,0.432231,0.392571,0.707745,0.749987,0.338751,0.572836,0.67047,0.530176,0.19441,0.058477,0.361827,0.100622,0.094377,0.305704,0.180909,0.170463,0.251095,0.215929,0.096928,0.095369,0.178185,0.231376,0.160334,0.143627,0.111288,0.32324,0.390564,0.842277,0.576277,0.660362,0.167915,0.159705,0.488201,0.508659,0.718974,0.393266,0.209566,0.341751,0.49294,0.234378,0.048907,0.176387,0.174603,0.168875,0.165414,0.293689,0.181489,0.291376,1,0,0,0,0,1 +0.458121,0.318947,0.153443,0.738289,0.264764,0.503626,0.363323,0.781302,0.445198,0.439034,0.311065,0.32426,0.724358,0.38822,0.335163,0.35391,0.511788,0.539153,0.142915,0.280732,0.353013,0.560687,0.665976,0.559607,0.650922,0.722728,0.644965,0.390277,0.660889,0.512595,0.502845,0.3181,0.296361,0.31492,0.151697,0.156492,0.351344,0.262255,0.438938,0.387888,0.432975,0.319187,0.20775,0.169157,0.366697,0.231161,0.217764,0.136722,0.629074,0.235891,0.888492,0.380192,0.398296,0.53099,0.530424,0.566884,0.747815,0.624817,0.384599,0.255714,0.564019,0.22622,0.155068,0.168266,0.114906,0.619048,0,0.586466,0.01324,0.306197,0.157527,0,0,1,0,0,0 +0.368612,0.105238,0.038609,0.123724,0.65661,0.283951,0.206953,0.38486,0.407187,0.357201,0.414012,0.56527,0.904534,0.306755,0.266678,0.508968,0.052867,0.028429,0.030035,0.092156,0.123844,0.206021,0.157283,0.262927,0.412869,0.461382,0.533005,0.356545,0.675833,0.673513,0.710058,0.367212,0.147965,0.095104,0.085535,0.525942,0.757269,1,0.455284,0.64602,1,0.657136,0.816807,0.580678,0.760081,0.743758,0.678503,0.313022,0.317622,0.23125,0.941023,0.740941,0.388921,0.469156,0.240698,0.358218,0.793909,0.577391,0.701324,0.615959,0.931162,0.749772,0.578878,0.446077,0.010124,0.650794,0.003272,0.616541,0.029474,0.056178,0.045328,0,0,1,1,0,0 +0.225035,0.386063,0.287988,0.536352,0.252194,0.537485,0.502472,0.656241,0.395605,0.737753,0.600059,0.471873,0.850346,0.469651,0.536924,0.421935,0.365746,0.738419,0.220556,0.473385,0.224135,0.538512,0.566164,0.494314,0.418022,0.664203,0.369121,0.240535,0.424128,0.307519,0.524594,0.268693,0.118797,0.298736,0.112364,0.104678,0.108541,0.233927,0.360584,0.208332,0.260118,0.136387,0.121271,0.107116,0.23602,0.085348,0.148477,0.079027,0.627825,0.294029,0.840709,0.444555,0.174861,0.306576,0.396982,0.253809,0.567972,0.486323,0.200903,0.25114,0.595517,0.114057,0.282864,0.145318,0.396233,0.333333,0.255872,0.315789,0.510902,0.080349,0.450711,0,1,1,0,0,0 +0.459001,0.522351,0.224822,0.584284,0.236172,0.631589,0.387665,0.547316,0.29461,0.469949,0.607133,0.478372,0.796662,0.548162,0.489322,0.551842,0.44121,0.680543,0.10882,0.275451,0.398472,0.263077,0.379937,0.291389,0.282503,0.321646,0.193388,0.203328,0.293818,0.269363,0.355967,0.190654,0.248767,0.24681,0.263473,0.300147,0.361634,0.293985,0.265403,0.248081,0.165341,0.164855,0.07041,0.032245,0.067062,0.086202,0.155364,0.050922,0.298489,0.181836,0.904696,0.417986,0.432944,0.301845,0.2905,0.269646,0.386322,0.380859,0.148078,0.075168,0.062667,0.069089,0.09061,0.093433,0.911611,0.253968,0.956802,0.240602,0.81193,0.947544,0.926262,1,0,0,0,0,1 +0.065763,0.080136,0.240206,0.592453,0.583098,0.410205,0.372318,0.543842,0.554809,0.227823,0.579721,0.461868,0.540389,0.524546,0.476288,0.681067,0.064955,0.332511,0.183358,0.169719,0.304881,0.364769,0.326971,0.300909,0.404895,0.441496,0.389443,0.252597,0.358571,0.318383,0.322017,0.258747,0.072373,0.230681,0.425208,0.072825,0.812321,0.368008,0.836817,0.375062,0.570092,0.181982,0.187035,0.075267,0.123023,0.101924,0.123007,0.094072,0.346505,0.634979,0.908267,0.486782,0.455277,0.137887,0.270008,0.242071,0.232766,0.269443,0.175368,0.140737,0.164691,0.158199,0.059763,0.164036,0.364842,0.222222,0,0.706767,0.381846,0.019569,0.241963,1,0,0,0,0,1 +0.157404,0.33748,0.217784,0.582293,0.25917,0.4163,0.579347,0.398914,0.588378,0.488919,0.660293,0.538566,0.804806,0.633802,0.467942,0.436195,0.191106,0.603351,0.117094,0.357024,0.211556,0.600388,0.576027,0.471353,0.361168,0.64171,0.495546,0.271247,0.407145,0.324282,0.424327,0.274255,0.138261,0.71016,0.101092,0.118899,0.099431,0.213628,0.362901,0.301081,0.15599,0.1793,0.122449,0.066391,0.085372,0.083759,0.13529,0.054138,0.352656,0.726363,0.859308,0.414431,0.138294,0.404829,0.453399,0.418606,0.385951,0.370929,0.320136,0.182778,0.238507,0.272622,0.197725,0.146489,0.042207,0.142857,0.004286,0.593985,0.054897,0.130569,0.172362,0,1,0,0,0,0 +0.129679,0.025885,0.030747,0.506903,0.539999,0.758982,0.377622,0.624356,0.427967,0.62128,0.530739,0.207393,0.343663,0.390281,0.548506,0.439246,0.056273,0.048048,0.028242,0.196966,0.157367,0.435712,0.075909,0.102056,0.136197,0.192706,0.238416,0.191708,0.239476,0.226104,0.288273,0.130535,0.026043,0.08483,0.186685,0.241393,0.276895,0.402722,0.172423,0.229418,0.245429,0.174678,0.174245,0.167605,0.248741,0.180779,0.156271,0.110234,0.357173,0.289183,0.923382,0.575871,0.316412,0.685559,0.201143,0.144557,0.38602,0.341729,0.281566,0.288273,0.173877,0.219612,0.209435,0.102665,0.107377,0.650794,0.072047,0.616541,0.131765,0.205951,0.278996,0,0,0,0,1,0 +0.187338,0.039516,0.021417,0.504936,0.836352,0.231349,0.632887,0.514197,0.340717,0.266589,0.286618,0.269344,0.399665,0.300128,0.308037,0.348081,0.023718,0.020189,0.044943,0.145679,0.075879,0.09204,0.074901,0.140913,0.134516,0.32411,0.192509,0.161374,0.236437,0.303734,0.358846,0.337184,0.020746,0.03754,0.066455,0.12668,0.166695,0.079284,0.132294,0.215009,0.13221,0.204739,0.15036,0.184879,0.200608,0.220019,0.254478,0.142241,0.339362,0.230752,0.930787,0.55192,0.382453,0.171512,0.164157,0.181423,0.205953,0.320999,0.125861,0.13343,0.20653,0.236298,0.19132,0.305534,0.028261,0.730159,0.063784,0.691729,0.116944,0.154691,0.287438,1,1,1,0,0,0 +0.724482,0.498989,0.214972,0.794591,0.233332,0.408606,0.26926,0.626812,0.396853,0.432957,0.525212,0.402303,0.524288,0.5855,0.314897,0.457737,0.826877,0.644884,0.146073,0.268486,0.443985,0.486836,0.425965,0.413111,0.388294,0.614044,0.332842,0.311561,0.410212,0.345465,0.27178,0.233952,0.086344,0.126617,0.073911,0.053347,0.228367,0.110158,0.195887,0.274989,0.159431,0.15707,0.091328,0.10845,0.143994,0.127424,0.071231,0.06378,0.298213,0.038497,0.850858,0.384894,0.443246,0.268747,0.213983,0.294746,0.25766,0.414755,0.204522,0.195365,0.377308,0.179893,0.078183,0.075597,0.801164,0.222222,0.588893,0.210526,0.764116,0.598351,0.711497,1,0,0,0,0,0 +0.101619,0.780315,0.265792,0.557254,0.39141,0.569983,0.541564,0.544119,0.419447,0.478161,0.55941,0.445068,0.41555,0.474506,0.312646,0.425577,0.195874,0.928557,0.245728,0.411033,0.232221,0.496535,0.391525,0.361343,0.400833,0.841186,0.594158,0.302828,0.542291,0.433672,0.437044,0.345314,0.127247,0.566047,0.171657,0.276138,0.142891,0.287673,0.264066,0.246549,0.188799,0.326002,0.150724,0.086318,0.195444,0.127696,0.156537,0.118262,0.434403,0.102202,0.832346,0.324756,0.184461,0.376053,0.233008,0.193537,0.261293,0.879331,0.367932,0.215504,0.3309,0.26598,0.194919,0.14347,0.15985,0.31746,0.101419,0.300752,0.238275,0.091672,0.274721,0,0,1,0,1,0 +0.510796,0.375288,0.199575,0.704191,0.179452,0.545742,0.390197,0.566404,0.312902,0.536761,0.645253,0.499432,0.560381,0.650236,0.426637,0.555629,0.456846,0.488671,0.105652,0.281078,0.280007,0.407923,0.474534,0.476454,0.409188,0.650282,0.452071,0.304383,0.40413,0.467324,0.468439,0.308684,0.289661,0.285533,0.180169,0.035967,0.113424,0.106549,0.169589,0.245332,0.138677,0.112762,0.084167,0.092844,0.117051,0.100537,0.090226,0.080547,0.515433,0.170073,0.896376,0.457479,0.190671,0.240109,0.200302,0.302029,0.299621,0.327697,0.253765,0.158686,0.085423,0.13014,0.066671,0.077645,0.072779,0.047619,0.216267,0.045113,0.081759,0.258745,0.173924,0,0,0,0,0,1 +0.385755,0.327673,0.350511,0.554375,0.52801,0.24759,0.614393,0.488457,0.301218,0.653538,0.557745,0.669041,0.545448,0.730263,0.352422,0.613181,0.604405,0.667678,0.202557,0.25424,0.349045,0.431229,0.49142,0.390455,0.368681,0.665024,0.451266,0.294943,0.438105,0.347208,0.444765,0.287995,0.183422,0.313354,0.148174,0.28142,0.374342,0.329513,0.307368,0.557478,0.237741,0.410469,0.198625,0.177425,0.315619,0.147411,0.220855,0.189375,0.494794,0.28923,0.849421,0.509405,0.315172,0.383061,0.272369,0.294796,0.336151,0.687403,0.296018,0.268507,0.275076,0.149543,0.199354,0.238198,0.109073,0.380952,0.086269,0.360902,0.249435,0.057346,0.220441,0,0,1,0,1,0 +0.470998,0.367117,0.232458,0.723703,0.232673,0.593943,0.482096,0.575122,0.578921,0.538323,0.519167,0.351272,0.544803,0.669467,0.353494,0.290443,0.545265,0.568031,0.185493,0.324799,0.320985,0.701511,0.513036,0.586794,0.547088,0.62762,0.563423,0.398846,0.575813,0.586659,0.441749,0.340345,0.229069,0.252846,0.258953,0.231651,0.20059,0.324029,0.325459,0.39686,0.264196,0.259159,0.286684,0.252398,0.317694,0.241894,0.174673,0.105632,0.509594,0.251144,0.89189,0.564674,0.30257,0.470518,0.460098,0.625496,0.546444,0.529886,0.306355,0.375032,0.292015,0.293279,0.114255,0.255074,0.052436,0,0,0,0.138201,0.054533,0.096714,0,0,0,0,0,1 +0.164488,0.331801,0.254304,0.759577,0.23585,0.462648,0.472373,0.467797,0.451239,0.569845,0.767587,0.599849,0.632206,0.410276,0.269279,0.293599,0.152972,0.689031,0.189641,0.210015,0.207186,0.300297,0.35627,0.315068,0.344245,0.403186,0.438672,0.352888,0.362828,0.284852,0.396562,0.227083,0.02667,0.305493,0.144124,0.079358,0.054629,0.122963,0.248312,0.181415,0.221321,0.106097,0.177307,0.203361,0.161262,0.149369,0.157956,0.094096,0.296139,0.329276,0.858045,0.365255,0.114975,0.136772,0.298137,0.211204,0.361627,0.252557,0.252028,0.257182,0.197742,0.04614,0.072179,0.062024,0.321334,0.222222,0.397994,0.210526,0.371033,0.415885,0.429611,1,1,0,0,0,0 +0.010275,0.159246,0.115907,0.004678,0.607067,0.87328,0.484411,0.725762,0.472291,0.694531,0.668388,0.567496,0.898026,0.725365,0.508742,0.531246,0,0.304652,0.101713,0.282041,0.164294,0.295391,0.140793,0.145666,0.075583,0,0,0,0,0,0,0,0.035316,1,0.265704,0.348081,0.232951,0.206848,0.278328,0.309158,0.222637,0.13848,0.118118,0.098484,0.140975,0.145309,0.152673,0.113281,0.38075,1,0.89851,0.658975,0.360629,0.26571,0.237985,0.305459,0.436079,0.31918,0.224055,0.155501,0.22427,0.15522,0.124391,0.131163,0.432784,0.142857,0,0.593985,0.586663,0,0.299158,0,0,0,1,0,0 +0.199972,0.15696,0.157012,0.628549,0.325996,0.330492,0.479064,0.722688,0.475707,0.529306,0.622561,0.454213,0.795155,0.575051,0.429049,0.40184,0.1965,0.354518,0.091767,0.304588,0.236257,0.455069,0.713112,0.736277,0.584069,0.813943,0.434732,0.346292,0.600776,0.403782,0.524407,0.303664,0.095571,0.19677,0.08301,0.07136,0.189412,0.182543,0.293683,0.429547,0.297587,0.241844,0.115739,0.071588,0.115625,0.130963,0.135741,0.073557,0.306054,0.480922,0.906873,0.570212,0.391063,0.404316,0.406663,0.415425,0.378082,0.465924,0.182384,0.20434,0.36142,0.140581,0.105807,0.100076,0.055435,0.349206,0.005022,0.330827,0.114303,0.030297,0.108691,0,0,0,0,0,1 +0.173435,0.08246,0.084211,0.539015,0.699723,0.287917,0.546291,0.364617,0.413385,0.219992,0.521735,0.36429,0.72087,0.385473,0.298502,0.425876,0.067674,0.132643,0.104596,0.177636,0.13601,0.163764,0.202342,0.269752,0.248041,0.466727,0.334379,0.245487,0.392022,0.329072,0.304011,0.26824,0.049372,0.13299,0.202477,0.308614,0.373855,0.310787,0.617105,0.443079,0.47457,0.575269,0.331384,0.288572,0.338244,0.252801,0.227444,0.170539,0.340647,0.507521,0.930743,0.640571,0.613659,0.347065,0.191328,0.315705,0.428822,0.486383,0.412083,0.326175,0.512165,0.28833,0.190785,0.228664,0.107262,0.142857,0.02871,0.135338,0.174759,0.129022,0.156394,0,0,1,1,1,0 +0.444002,0.285349,0.134986,0.833206,0.338321,0.372697,0.606749,0.187238,0.469728,0.113689,0.48835,0.399827,0.512986,0.645573,0.417864,0.474979,0.208297,0.161585,0.063536,0.268677,0.219556,0.177873,0.365388,0.405139,0.283769,0.476746,0.432606,0.232654,0.426675,0.321349,0.517036,0.199119,0.158203,0.1906,0.117236,0.158116,0.282296,0.123913,0.266497,0.389584,0.247306,0.20142,0.129503,0.074518,0.169332,0.087053,0.253615,0.055305,0.266741,0.21026,0.914191,0.56072,0.50877,0.326704,0.379938,0.552665,0.393919,0.589604,0.417857,0.238138,0.242589,0.244472,0.216692,0.06044,0.110493,0.206349,0.268613,0.195489,0.235324,0.360026,0.316826,0,1,0,0,0,0 +0.169553,0.441408,0.278974,0.694768,0.309089,0.42653,0.443845,0.57146,0.524179,0.60243,0.648545,0.494918,0.727606,0.501062,0.378757,0.500545,0.201225,0.820134,0.281408,0.351606,0.498314,0.460948,0.50183,0.293315,0.290412,0.339334,0.35026,0.136107,0.238869,0.167259,0.281286,0.13768,0.077155,0.163107,0.06487,0.12312,0.164508,0.096758,0.214557,0.153978,0.04667,0.086566,0.013713,0.018735,0.032491,0.01429,0.049643,0.031901,0.270505,0.117614,0.83252,0.299964,0.125573,0.210736,0.113285,0.097549,0.078771,0.140129,0.099398,0.022145,0.063902,0.044161,0.05085,0.01857,0.483744,0.253968,0.469663,0.240602,0.453408,0.460567,0.501162,1,0,0,0,0,1 +0.468336,0.363911,0.256416,0.666463,0.190517,0.160931,0.182624,0.939344,0.663357,0.6376,0.840384,0.574646,0.592155,0.772431,0.571305,0.514445,0.39448,0.458208,0.128734,0.168442,0.292436,0.42437,0.302134,0.544314,0.366246,0.465531,0.415699,0.138875,0.293541,0.180835,0.378778,0.273971,0.189196,0.113085,0.219913,0.320562,0.462799,0.134701,0.290574,0.359379,0.215212,0.131859,0.115268,0.068461,0.069652,0.080722,0.071024,0.035358,0.293292,0.315665,0.880521,0.416955,0.075441,0.156673,0.173303,0.25067,0.238487,0.186975,0.12976,0.082916,0.048417,0.020418,0.053146,0.057945,0.341035,0.253968,0.30389,0.240602,0.45729,0.373224,0.472132,1,0,0,0,0,1 +0.40361,0.674746,0.313551,0.625004,0.103109,0.442419,0.236738,0.654679,0.465977,0.696986,0.658671,0.503298,0.794876,0.681134,0.438103,0.456503,0.701513,0.852945,0.203316,0.273235,0.148964,0.207158,0.13172,0.151874,0.079635,0.184301,0.106471,0.084794,0.130869,0.143678,0.228626,0.114239,0.037281,0.15569,0.105436,0.027894,0.115578,0.057828,0.04789,0.013755,0.033701,0.039976,0.002435,0.006821,0.013351,0.015853,0.024911,0.01521,0.139806,0.072218,0.808128,0.490084,0.26213,0.161866,0,0.097394,0.040831,0.160757,0.049313,0.053822,0.023374,0.00243,0.0216,0.036967,0.596312,0.222222,0.722101,0.210526,0.647661,0.761041,0.740349,0,0,0,0,0,1 +0.642311,0.566676,0.2656,0.777638,0.028214,0.477852,0.420957,0.678627,0.537101,0.532758,0.571326,0.411792,0.582386,0.565125,0.353436,0.448377,0.666233,0.631518,0.269251,0.363356,0.548736,0.446796,0.312739,0.314376,0.241319,0.461354,0.326658,0.2135,0.251379,0.237906,0.320652,0.202737,0.283335,0.174915,0.07532,0.129976,0.186778,0.238964,0.144126,0.191413,0.138122,0.153548,0.095253,0.085095,0.090402,0.050694,0.104029,0.046469,0.16252,0.249378,0.807257,0.288194,0.188828,0.372667,0.353653,0.335277,0.242728,0.467724,0.212511,0.107386,0.179301,0.182008,0.101573,0.064231,0.362165,0.190476,0.391375,0.180451,0.407922,0.433203,0.434589,1,0,0,0,0,0 +0.30414,0.180312,0.286678,0.487888,0.349069,0.479508,0.577206,0.676009,0.503158,0.500892,0.611548,0.43479,0.773772,0.562852,0.268279,0.585911,0.310978,0.350125,0.195725,0.277107,0.297778,0.394461,0.469514,0.49405,0.55673,0.625083,0.511733,0.285235,0.378197,0.403412,0.451257,0.311468,0.143511,0.191141,0.250969,0.217316,0.212808,0.215745,0.499192,0.45105,0.378881,0.360119,0.155735,0.144666,0.268747,0.199752,0.186735,0.108187,0.330034,0.274223,0.890278,0.536905,0.369211,0.298875,0.46924,0.338917,0.539584,0.549447,0.255808,0.252788,0.265714,0.231777,0.118802,0.200466,0.021065,0.238095,0.040026,0.225564,0.201484,0.193634,0.210003,0,0,1,1,1,0 +0.791859,0.43227,0.132557,0.772325,0.199151,0.343514,0.66512,0.256607,0.66149,0.042189,0.375418,0.380787,0.66499,0.564824,0.314123,0.44506,0.166168,0.037191,0.031466,0.016156,0.023734,0.064876,0.120476,0.101093,0.093391,0.145947,0.185153,0.146398,0.230211,0.224125,0.252402,0.166554,0.119358,0.017095,0.146765,0.057749,0.115829,0.173261,0.377859,0.184234,0.474777,0.370267,0.17493,0.15049,0.166792,0.171886,0.168353,0.144331,0.233562,0.196907,0.937843,0.540108,0.168101,0.17188,0.29935,0.134455,0.269999,0.209072,0.168338,0.159381,0.135337,0.14373,0.084987,0.077687,0.143203,0.730159,0.094972,0.691729,0.066161,0.371024,0.387144,1,0,0,0,0,1 +0.206089,0.117783,0.107243,0.394547,0.39075,0.579137,0.337191,0.69917,0.472766,0.413393,0.480207,0.318874,0.93081,0.70977,0.616001,0.431629,0.19323,0.255854,0.116115,0.20269,0.335166,0.342896,0.115127,0.108906,0.117254,0.328252,0.252082,0.142809,0.300085,0.279624,0.488136,0.350301,0.121922,0.192647,0.142362,0.308359,0.271448,0.527239,0.252285,0.267277,0.39697,0.307101,0.406966,0.28267,0.432635,0.599863,0.618337,0.320702,0.335726,0.493447,0.876078,0.503448,0.449703,0.537993,0.21093,0.190599,0.39624,0.782154,0.415408,0.464684,0.819948,0.652388,0.567314,0.741354,0.035757,0.650794,0,0.616541,0.107955,0.087516,0.100223,0,0,0,1,1,0 +0.457737,0.546433,0.254281,0.642332,0.202579,0.757686,0.239345,0.514464,0.365782,0.417009,0.478139,0.490421,0.713251,0.709519,0.477775,0.299638,0.567293,0.748841,0.16888,0.205912,0.298417,0.347488,0.259742,0.210395,0.31961,0.41853,0.264847,0.252459,0.32553,0.204485,0.29827,0.301826,0.07679,0.187508,0.090407,0.056813,0.044932,0.063662,0.11755,0.227258,0.148821,0.071775,0.061657,0.074761,0.123384,0.074465,0.048515,0.047143,0.205358,0.056449,0.836048,0.488794,0.155011,0.062574,0.066738,0.136786,0.198191,0.222468,0.109493,0.103818,0.160525,0.043281,0.073618,0.11361,0.506501,0.222222,0.500186,0.210526,0.540205,0.601882,0.599233,0,0,0,0,0,1 +0.418938,0.316848,0.205619,0.58914,0.202341,0.349677,0.59921,0.372491,0.638712,0.234676,0.761822,0.368768,0.976532,0.45136,0.458461,0.551243,0.453954,0.515255,0.101295,0.331294,0.234525,0.509314,0.455678,0.359667,0.390407,0.75901,0.431921,0.272114,0.481238,0.354629,0.425611,0.374213,0.194492,0.190443,0.164142,0.122132,0.158437,0.160603,0.212922,0.136399,0.226306,0.171344,0.109627,0.080035,0.139438,0.065273,0.085583,0.062941,0.247058,0.267981,0.877036,0.424738,0.227172,0.347117,0.335044,0.290437,0.254696,0.486396,0.223589,0.193828,0.286917,0.201222,0.128826,0.161737,0.020517,0.761905,0,0.721805,0.064589,0.077663,0.063282,1,0,0,0,0,1 +0.85253,0.680556,0.291908,0.731929,0.159844,0.460593,0,0.419282,0.386467,0.470405,0.604432,0.376392,0.478642,0.448617,0.322051,0.467775,0.725194,0.561371,0.181279,0.239683,0.287039,0.4311,0.530783,0.278623,0.252519,0.523942,0.305682,0.144594,0.315549,0.233074,0.285643,0.14086,0.212693,0.444236,0.203241,0.057703,0.385619,0.110813,0.351466,0.056469,0.062284,0.058333,0.025742,0.035691,0.069062,0.147706,0.120315,0.062559,0.444722,0.120876,0.838488,0.381071,0.065807,0.155701,0.300865,0.095862,0.116055,0.219398,0.076175,0.066909,0.068934,0.035766,0.040505,0.083085,0.644183,0.253968,0.731845,0.240602,0.618681,0.798859,0.740891,0,0,0,0,0,1 +0.353062,0.325588,0.190482,0.658773,0.289665,0.476801,0.520307,0.424091,0.258131,0.583172,0.505674,0.529388,0.571296,0.487421,0.529431,0.438243,0.362767,0.555081,0.158714,0.274228,0.209031,0.333316,0.651164,0.4536,0.424583,0.534366,0.452046,0.227372,0.331552,0.328247,0.454091,0.290726,0.085418,0.153181,0.06082,0.133948,0.19887,0.142037,0.483521,0.375258,0.332167,0.155872,0.145805,0.145266,0.219375,0.145005,0.176108,0.112183,0.379813,0.238015,0.8597,0.366523,0.164881,0.202045,0.343561,0.404749,0.455403,0.461063,0.225323,0.089598,0.241442,0.190094,0.168381,0.24775,0.608348,0.142857,0.035517,0.135338,0.75851,0.082921,0.434478,0,1,1,0,0,0 +0.362047,0.436623,0.156911,0.636274,0.313491,0.578041,0.426268,0.614025,0.216863,0.574991,0.402399,0.334096,0.606002,0.502105,0.372721,0.619014,0.481691,0.712075,0.111252,0.295723,0.293984,0.334533,0.681868,0.399167,0.493427,0.620204,0.514858,0.375727,0.38666,0.301601,0.512815,0.31446,0.289773,0.433676,0.111835,0.193186,0.181649,0.352387,0.514073,0.343606,0.449246,0.303917,0.201128,0.201098,0.181556,0.163116,0.224707,0.159082,0.914783,0.383319,0.905349,0.386472,0.346334,0.477737,0.586789,0.354533,0.496134,0.42672,0.559482,0.384316,0.287895,0.141788,0.161304,0.21531,0.0048,0.730159,0.004121,0.691729,0.017071,0.026072,0.0545,0,0,1,0,0,0 +0.311418,0.129561,0.058241,0.147706,0.570495,0.350484,0.488013,0.449855,0.337032,0.328708,0.68975,0.829087,0.63551,0.090261,0.187392,0.422734,0.090896,0.057386,0.031917,0.106743,0.053447,0.103447,0.085696,0.183158,0.180155,0.297501,0.396314,0.364391,0.390749,0.40383,0.437225,0.334816,0.148021,0.133674,0.116766,0.588315,0.502253,0.39626,0.350738,0.500319,0.31906,0.363989,0.618895,0.592546,0.493308,0.498117,0.598198,0.263808,0.295422,0.2654,0.928914,0.793856,0.245031,0.247462,0.126571,0.159819,0.189062,0.252111,0.384722,0.478309,0.253466,0.447339,0.352519,0.416752,0.041028,0.253968,0.04423,0.75188,0.108642,0.354872,0.279562,0,1,1,1,0,0 +0.403173,0.357861,0.197113,0.717097,0.115863,0.444356,0.487878,0.745148,0.573093,0.623948,0.550034,0.438582,0.889361,0.816757,0.496676,0.391193,0.364823,0.499829,0.082427,0.182168,0.128147,0.279794,0.141528,0.147348,0.321735,0.217944,0.183137,0.130811,0.192085,0.19379,0.286513,0.151241,0.116607,0.122814,0.066162,0.019988,0.112796,0.131461,0.079011,0.163066,0.105563,0.024896,0.061043,0.104251,0.004699,0.16959,0.123934,0.039392,0.156277,0.223055,0.89851,0.601183,0.019696,0.0312,0.045338,0.11727,0.057005,0.122165,0.235209,0.388304,0.027252,0.283116,0.094154,0.106485,0.316922,0.253968,0.357434,0.240602,0.318125,0.402916,0.452403,0,0,0,0,0,1 +0.167252,0.205777,0.152551,0.685956,0.297312,0.353101,0.509155,0.564216,0.553984,0.508404,0.564495,0.433127,0.715143,0.583168,0.481209,0.317234,0.172423,0.460282,0.074098,0.204789,0.212991,0.383246,0.411866,0.471541,0.358136,0.441589,0.271374,0.271899,0.352182,0.313097,0.320035,0.25264,0.114455,0.344044,0.172831,0.082244,0.128231,0.185936,0.176523,0.29123,0.136871,0.155598,0.0625,0.048607,0.067925,0.083286,0.05482,0.073383,0.318173,0.626578,0.919897,0.433611,0.209815,0.396632,0.457761,0.510419,0.341725,0.449637,0.134703,0.149305,0.169704,0.079133,0.040954,0.096439,0.078256,0.095238,0.002197,0.090226,0.282798,0.003513,0.139704,0,0,0,0,0,1 +0.087986,0.495913,0.239337,0.565241,0.345712,0.592015,0.48687,0.554004,0.41798,0.451423,0.544838,0.48208,0.545875,0.284501,0.22238,0.601899,0.124448,0.833971,0.191874,0.133865,0.192884,0.283094,0.366876,0.359301,0.244038,0.408973,0.227589,0.290166,0.737268,0.41801,0.42011,0.254532,0.098247,0.685792,0.147587,0.160722,0.331924,0.200469,0.302824,0.362433,0.244886,0.25976,0.105545,0.141599,0.346267,0.182833,0.150121,0.099034,0.349167,0.657419,0.841275,0.465774,0.306569,0.199032,0.203738,0.239934,0.279836,0.473005,0.185306,0.292182,0.667213,0.274343,0.137568,0.098281,0.277902,0.253968,0.334574,0.240602,0.259681,0.36914,0.362549,1,0,0,0,0,1 +0.234748,0.345327,0.283809,0.528194,0.266313,0.579372,0.484155,0.651875,0.370097,0.779882,0.602328,0.46063,0.853308,0.4528,0.530215,0.398977,0.395557,0.692152,0.220567,0.453249,0.238826,0.572764,0.598216,0.474718,0.476521,0.550761,0.380412,0.250126,0.425383,0.30128,0.525105,0.301065,0.140133,0.373801,0.102736,0.257948,0.139977,0.430997,0.480594,0.232202,0.300224,0.211152,0.137166,0.101212,0.158198,0.095025,0.154887,0.100066,0.730688,0.378708,0.818712,0.369331,0.129316,0.475561,0.469299,0.245721,0.717489,0.521945,0.245106,0.248948,0.269829,0.146687,0.218662,0.195054,0.393317,0.333333,0.21295,0.315789,0.536923,0.084671,0.434118,0,1,1,0,0,0 +0.559886,0.393855,0.214158,0.707744,0.115406,0.407516,0.202822,0.540167,0.446962,0.490249,0.703974,0.641283,0.905732,0.683232,0.542202,0.6184,0.425363,0.371302,0.075561,0.178341,0.206762,0.283919,0.371091,0.301881,0.340609,0.385268,0.300877,0.207519,0.3165,0.229299,0.269016,0.250157,0.001029,0.107447,0.131267,0.038753,0.016048,0.113281,0.190966,0.142501,0.197545,0.126373,0.022862,0.066753,0.108445,0.078387,0.056336,0.069342,0.148198,0.109295,0.907004,0.441332,0,0.103538,0.11265,0.134895,0.228957,0.242742,0.054495,0.063557,0.106577,0.073156,0.107174,0.152329,0.413792,0.253968,0.107935,0.240602,0.42849,0.233917,0.351872,1,0,0,0,0,0 +0.207504,0.123797,0.061709,0.867544,0.323967,0.505404,0.400666,0.482434,0.378741,0.561769,0.556305,0.39242,0.851509,0.30377,0.289376,0.340921,0.102415,0.15134,0.037583,0.041113,0.027668,0.055814,0.09686,0.150301,0.131355,0.389404,0.21066,0.156927,0.316648,0.189278,0.286749,0.209766,0.117646,0.196395,0.030703,0.088018,0.207969,0.226719,0.292054,0.355716,0.300648,0.283258,0.138202,0.166508,0.278816,0.181095,0.265136,0.13593,0.342539,0.33584,0.943767,0.41306,0.179036,0.174377,0.230718,0.254538,0.402703,0.480702,0.285282,0.176558,0.391545,0.146195,0.114565,0.21478,0,0.428571,0,0.406015,0.00913,0.023025,0.026697,0,0,1,1,1,0 +0.604834,0.357915,0.302605,0.543466,0.197374,0.618441,0.41341,0.654219,0.444787,0.612056,0.632892,0.38433,0.555469,0.383102,0.438286,0.248181,0.409132,0.328829,0.223406,0.281883,0.237262,0.246308,0.141365,0.158715,0.192857,0.259518,0.37484,0.22288,0.459413,0.413851,0.564297,0.431582,0.617211,0.628385,0.155982,0.169313,0.287471,0.16268,0.177772,0.187917,0.497323,0.174872,0.141218,0.138159,0.462036,0.191486,0.169626,0.251207,0.502268,0.252493,0.874074,0.433596,0.19304,0.223955,0.078365,0.120152,0.388315,0.350061,0.514161,0.468233,0.764247,0.469336,0.37034,0.683964,0.072214,0.111111,0.015044,0.548872,0.31264,0.182404,0.382994,1,0,0,0,0,0 +0.172641,0.088194,0.286791,0.636297,0.529286,0.141585,0.225805,0.509501,0.542287,0.545141,0.656501,0.559824,0.788681,0.526107,0.433824,0.535559,0.167964,0.208229,0.225672,0.362428,0.363992,0.448995,0.270789,0.352371,0.298018,0.356197,0.464935,0.383254,0.433263,0.29095,0.271851,0.170152,0.055089,0.069436,0.193554,0.073958,0.16818,0.139132,0.097553,0.190281,0.191489,0.106062,0.092648,0.093594,0.059595,0.112416,0.049934,0.052385,0.3098,0.33293,0.813834,0.394787,0.214504,0.307619,0.15802,0.359613,0.243466,0.293538,0.200802,0.180174,0.131762,0.229539,0.101404,0.091182,0.07027,0.365079,0.183046,0.345865,0.194186,0.038099,0.243514,0,1,1,0,0,0 +0.386008,0.164725,0.148766,0.804366,0.539132,0.314199,0.247627,0.326369,0.156292,0.402659,0.647164,0.458973,0.615069,0.45095,0.460502,0.251553,0.193688,0.203138,0.079214,0.145258,0.263529,0.322488,0.361204,0.396607,0.329559,0.54068,0.378742,0.184658,0.288649,0.219242,0.274716,0.210776,0.059908,0.119842,0.193789,0.2422,0.205992,0.324417,0.331571,0.413277,0.351033,0.311554,0.227697,0.130453,0.144,0.104023,0.138034,0.096572,0.440517,0.367995,0.91136,0.46973,0.382316,0.46116,0.168342,0.38523,0.367857,0.452519,0.247741,0.101164,0.09881,0.070571,0.03727,0.088771,0.175481,0.507937,0.31956,0.481203,0.650697,0.007208,0.71056,1,1,0,0,0,0 +0.37197,0.103832,0.071333,0.348005,0.510915,0.169321,0.233842,0.030944,0.187046,0.482768,0.74187,0.315494,0.121537,0.07887,0.321002,0.415951,0.053604,0.046197,0.03338,0.092869,0.106283,0.123317,0.177735,0.234503,0.385759,0.646311,0.569556,0.414911,0.685215,0.661798,0.763573,0.377206,0.106482,0.091185,0.098744,0.350158,0.348233,0.357322,0.722701,0.808262,0.837251,1,1,0.609234,1,1,0.788239,0.419242,0.306972,0.20515,0.932311,0.531313,0.27807,0.155856,0.238569,0.267727,0.701578,1,0.665986,0.504154,0.89615,0.550606,0.517012,0.370375,0.012532,0.730159,0.010634,0.691729,0.082645,0.144749,0.137438,0,0,1,1,0,0 +0.248765,0.08271,0.046189,0.431568,0.680751,0.256178,0.296571,0.532105,0.351107,0.109636,0.44081,0.249954,0.564235,0.29056,0.272793,0.069241,0.073228,0.039869,0.049663,0.118555,0.140693,0.243633,0.100394,0.174585,0.143106,0.28651,0.289251,0.219922,0.374821,0.326565,0.459318,0.469427,0.119443,0.074733,0.102853,0.276676,0.280142,0.551725,0.300636,0.425218,0.294609,0.31321,0.311899,0.364047,0.662088,0.612284,0.827729,0.653755,0.307596,0.217681,0.909443,0.596007,0.302835,0.604967,0.191839,0.260268,0.319204,0.448394,0.404117,0.536906,0.865933,0.552998,0.341933,0.720569,0.028889,0.285714,0.003617,0.270677,0.135492,0.067324,0.145247,0,0,1,1,1,0 +0.18257,0.23897,0.286452,0.642492,0.320498,0.486431,0.586537,0.405481,0.421538,0.596676,0.579411,0.474683,0.686303,0.47563,0.336279,0.401612,0.258984,0.569501,0.221062,0.428085,0.30987,0.438911,0.653148,0.467649,0.447757,0.485136,0.538481,0.299202,0.516996,0.422355,0.441487,0.241796,0.043074,0.228052,0.128449,0.17587,0.099565,0.173669,0.440017,0.249967,0.31034,0.158122,0.159906,0.077645,0.168998,0.11009,0.171113,0.072974,0.295771,0.465933,0.870546,0.482616,0.232366,0.268689,0.471695,0.339916,0.220747,0.370441,0.369912,0.18988,0.218992,0.216917,0.167946,0.150416,0.108543,0,0.029671,0,0.274155,0.062785,0.166629,0,1,1,0,0,0 +0.18466,0.162261,0.327444,0.680086,0.290577,0.590962,0.600358,0.416221,0.401568,0.621924,0.463116,0.371687,0.533265,0.694305,0.40524,0.78654,0.232102,0.428659,0.208927,0.376388,0.393933,0.854523,1,0.849914,0.612306,0.643216,0.727257,0.392181,0.507257,0.543259,0.608331,0.387056,0.049241,0.183252,0.084243,0.119925,0.147569,0.289502,0.322218,0.300906,0.308186,0.163664,0.142848,0.089012,0.074798,0.193933,0.185777,0.094277,0.347662,0.342159,0.82786,0.332625,0.169266,0.519014,0.52594,0.483093,0.487993,0.476025,0.31787,0.160062,0.216579,0.245222,0.22311,0.165262,0.151879,0.190476,0.094994,0.661654,0.213568,0.014934,0.173169,0,0,0,0,0,1 +0.176782,0.07819,0.126197,0.798266,0.346585,0.52536,0.556727,0.634933,0.414042,0.546713,0.665609,0.516086,0.821582,0.509293,0.408737,0.495932,0.146283,0.17229,0.068025,0.142272,0.180619,0.352698,0.400759,0.306969,0.352278,0.423596,0.376261,0.271482,0.337143,0.307773,0.423838,0.296614,0.051861,0.10393,0.176882,0.071106,0.198994,0.291815,0.234656,0.274522,0.376233,0.243113,0.188101,0.1571,0.130628,0.154403,0.177224,0.144717,0.339766,0.246439,0.898815,0.389529,0.167318,0.300872,0.274087,0.243917,0.305579,0.289515,0.218445,0.193736,0.121336,0.183421,0.151806,0.23563,0.015503,0.460317,0.004648,0.43609,0.096454,0.045028,0.076709,0,1,0,0,0,0 +0.416865,0.198074,0.16972,0.85368,0.500185,0.25512,0.612427,0.07516,0.556369,0.162374,0.612655,0.270617,0.665675,0.380007,0.462181,0.171325,0.182709,0.126204,0.099447,0.194349,0.277587,0.18197,0.055264,0.174708,0.213124,0.396778,0.309363,0.344179,0.53614,0.530493,0.578172,0.364532,0.136539,0.135314,0.153516,0.094156,0.24308,0.173359,0.091473,0.185653,0.191494,0.252381,0.207634,0.199413,0.283899,0.250424,0.220099,0.122035,0.302914,0.178474,0.888928,0.313584,0.275269,0.17987,0.127635,0.194082,0.225976,0.679241,0.430274,0.387076,0.922459,0.565018,0.338976,0.353139,0.085127,0.730159,0.227979,0.691729,0.279302,0.399868,0.585214,0,1,0,0,0,0 +0.309857,0.134612,0.1406,0.759494,0.463111,0.348627,0.382232,0.416062,0.510885,0.30001,0.472288,0.21834,0.842057,0.534396,0.277919,0.555606,0.098656,0.096762,0.056616,0.195344,0.114418,0.335366,0.404091,0.237838,0.258025,0.500019,0.319864,0.250896,0.366362,0.383746,0.405139,0.289658,0.104274,0.097234,0.11389,0.151356,0.16658,0.308544,0.405908,0.277883,0.299209,0.26708,0.167979,0.233198,0.228342,0.216826,0.283761,0.108607,0.28503,0.212776,0.911273,0.36159,0.319374,0.447068,0.262157,0.297993,0.349827,0.415326,0.178007,0.217062,0.384377,0.262932,0.146221,0.18317,0.244209,0.142857,0.36904,0.135338,0.531832,0.401111,0.48331,0,1,1,0,0,0 +0.38819,0.325392,0.249367,0.724675,0.279445,0.535602,0.496983,0.501619,0.494703,0.805559,0.508543,0.502551,0.486396,0.505972,0.263848,0.444546,0.463132,0.563118,0.16921,0.359805,0.308087,0.646556,0.831016,0.642538,0.441008,0.641926,0.541524,0.341299,0.45136,0.392369,0.541277,0.266914,0.26942,0.304975,0.032582,0.135095,0.122632,0.260804,0.465426,0.232052,0.227145,0.214072,0.126937,0.108015,0.109008,0.087543,0.173138,0.092615,0.669029,0.334162,0.85957,0.327873,0.203543,0.446807,0.637684,0.354631,0.332923,0.400774,0.384725,0.194085,0.225275,0.091707,0.144173,0.117159,0.190899,0.650794,0.215646,0.616541,0.128114,0.29703,0.393145,0,0,0,0,0,1 +0.491067,0.237379,0.206195,0.882494,0.426895,0.28947,0.568974,0.151036,0.602717,0.158678,0.588053,0.111283,0.597073,0.491167,0.46516,0.147527,0.20338,0.13381,0.121109,0.185773,0.269524,0.289091,0.080112,0.171418,0.181512,0.311063,0.285535,0.273656,0.459593,0.423675,0.544088,0.307975,0.18024,0.149881,0.171539,0.074848,0.24998,0.248512,0.153527,0.166571,0.197124,0.22422,0.190182,0.194649,0.220291,0.195611,0.228254,0.115974,0.282294,0.175089,0.858437,0.362957,0.303699,0.371719,0.253209,0.174419,0.26103,0.372605,0.212101,0.316028,0.472796,0.333635,0.197144,0.232445,0.117886,0.793651,0,0.75188,0.2022,0.358655,0.300836,1,1,0,0,0,0 +0.292817,0.14619,0.061348,0.337387,0.540275,0.239832,0.642218,0.445821,0.241687,0.419387,0.673013,0.195564,0.527369,0.425631,0.485422,0.713785,0.062565,0.064202,0.035481,0.071746,0.043268,0.068609,0.0806,0.150485,0.183905,0.350939,0.310278,0.163124,0.311839,0.346626,0.383107,0.239945,0.055192,0.078328,0.196489,0.315,0.191212,0.095485,0.215188,0.451755,0.261317,0.274238,0.189688,0.110972,0.207773,0.217631,0.280942,0.165858,0.307541,0.196367,0.932311,0.634759,0.331612,0.127882,0.119556,0.183285,0.176365,0.291536,0.199535,0.130612,0.211501,0.248387,0.176123,0.131713,0.004361,0.365079,0.002314,0.345865,0.019215,0.022403,0.016809,0,0,1,1,1,0 +0.277926,0.091324,0.076123,0.450026,0.73753,0.410349,0.22806,0.439182,0.48285,0.455773,0.409199,0.259889,0.321311,0.454577,0.310314,0.284672,0.047151,0.0151,0.036482,0.036718,0.044956,0.089857,0.084902,0.146806,0.167037,0.338338,0.354313,0.197143,0.353122,0.39888,0.341,0.250309,0.04007,0.059205,0.095515,0.126911,0.319365,0.298964,0.2116,0.361617,0.403805,0.352137,0.392772,0.234908,0.488799,0.497525,0.372821,0.266576,0.300949,0.215493,0.922467,0.648622,0.467429,0.159869,0.179483,0.123839,0.166089,0.345444,0.245173,0.168442,0.267474,0.29594,0.13724,0.226193,0.044864,0.253968,0.022971,0.240602,0.202241,0.220336,0.237737,0,0,1,1,0,0 +0.580171,0.375469,0.203732,0.690785,0.226853,0.547071,0.549145,0.44298,0.428682,0.548182,0.512773,0.343647,0.535108,0.606431,0.379321,0.433042,0.596027,0.495637,0.113716,0.240808,0.300026,0.504012,0.749535,0.540656,0.526517,0.549377,0.613931,0.35428,0.541364,0.532923,0.580827,0.34915,0.238492,0.254172,0.135259,0.111741,0.369458,0.350736,0.546217,0.351687,0.331984,0.36787,0.178317,0.145588,0.306042,0.25222,0.328328,0.171535,0.549678,0.36288,0.890017,0.470152,0.297599,0.462556,0.578089,0.438749,0.375558,0.607544,0.342185,0.269873,0.320559,0.302903,0.205319,0.228755,0.048919,0.190476,0.067854,0.661654,0.064429,0.013041,0.100018,1,0,0,0,0,1 +0.288784,0.429829,0.22542,0.728605,0.301173,0.406398,0.298201,0.61856,0.267136,0.477571,0.474558,0.42759,0.427264,0.518466,0.367666,0.460668,0.343694,0.721781,0.177626,0.159036,0.267605,0.460441,0.343753,0.331653,0.187736,0.264945,0.15654,0.147679,0.159696,0.145094,0.146521,0.088088,0.094252,0.29856,0.10755,0.068412,0.051528,0.130563,0.15358,0.199201,0.058463,0.071991,0.021042,0.037445,0.035926,0.03548,0.028578,0.017414,0.305503,0.114329,0.848767,0.38772,0.107809,0.182021,0.322672,0.196815,0.105261,0.142702,0.124299,0.072011,0.073291,0.008527,0.029066,0.01773,0.554192,0.253968,0.622799,0.240602,0.51999,0.635976,0.616327,1,0,0,0,0,1 +0.107072,0.079844,0.238614,0.668238,0.340467,0.476025,0.473997,0.706506,0.563319,0.655193,0.762374,0.361922,0.649881,0.592136,0.514959,0.348231,0.064249,0.230176,0.129702,0.172753,0.171808,0.395181,0.2905,0.343656,0.345066,0.595726,0.392953,0.275663,0.456117,0.459674,0.409022,0.321528,0.132515,0.284793,0.166725,0.175438,0.224995,0.306917,0.201502,0.338476,0.232022,0.30485,0.318289,0.10719,0.194299,0.413019,0.35769,0.196036,0.36729,0.524106,0.875338,0.43934,0.19224,0.40147,0.189225,0.131297,0.254148,0.303717,0.299705,0.208066,0.453253,0.313246,0.158942,0.109164,0.016178,0.968254,0,0.917293,0.025175,0.077012,0.0957,1,1,0,0,0,0 +0.454692,0.216426,0.12265,0.877897,0.536374,0.113314,0.624114,0,0.634601,0,0.527346,0.236526,0.618754,0.546833,0.344633,0.211761,0.157944,0.111497,0.065055,0.133949,0.224017,0.146646,0.093103,0.201384,0.186499,0.245633,0.270413,0.186189,0.314278,0.317281,0.371986,0.243082,0.140554,0.157502,0.181108,0.157366,0.317841,0.192409,0.151198,0.283621,0.222336,0.120096,0.117822,0.129423,0.156519,0.149053,0.228528,0.098032,0.25207,0.156562,0.905,0.361013,0.275672,0.278855,0.158765,0.316539,0.285626,0.336389,0.183305,0.198812,0.342054,0.291766,0.212512,0.214598,0.054109,0.206349,0.074307,0.195489,0.264522,0.262878,0.32697,0,1,0,0,0,0 +0.285248,0.170371,0.235598,0.526789,0.458271,0.205476,1,0.234694,0.423155,0.81036,0.444984,0.505401,0.908257,0.396406,0.482519,0.524551,0.224268,0.252568,0.172235,0.369314,0.259388,0.32845,0.733881,0.493481,0.414295,0.877853,0.695625,0.307518,0.474548,0.383003,0.504923,0.331361,0.195615,0.182263,0.212575,0.422759,0.278992,0.294164,0.586483,0.74389,0.286181,0.624307,0.259831,0.248322,0.237654,0.172678,0.243988,0.18226,0.275812,0.363718,0.862183,0.475605,0.405736,0.329978,0.592902,0.536589,0.553342,0.844242,0.354438,0.258162,0.319911,0.200314,0.242801,0.219456,0.024868,0.190476,0.031636,0.661654,0.087692,0.042833,0.11967,0,1,1,0,0,0 +0.357765,0.16676,0.100601,0.557507,0.465698,0.295859,0.440311,0.557535,0.354944,0.400277,0.617901,0.246284,0.285348,0.493596,0.356461,0.139849,0.13279,0.063579,0.035987,0.156739,0.07857,0.122952,0.133289,0.211159,0.241488,0.440736,0.484203,0.42597,0.687102,0.651808,0.553791,0.330569,0.131917,0.084031,0.113479,0.415161,0.272628,0.198814,0.246848,0.471066,0.492228,0.265234,0.463214,0.296315,0.513496,0.305252,0.35933,0.139388,0.279925,0.192847,0.924297,0.517948,0.264461,0.180503,0.549654,0.227361,0.407993,0.4662,0.433968,0.444353,0.498575,0.464759,0.195481,0.202632,0.163874,0.301587,0.284219,0.285714,0.463508,0.186374,0.441703,1,1,1,0,0,0 +0.283093,0.105539,0.034904,0.587717,0.574277,0.348986,0.474018,0.418648,0.441409,0.257709,0.36733,0.264856,0.317852,0.383051,0.345139,0.442589,0.049746,0.042077,0.017471,0.043138,0.024722,0.072963,0.066898,0.155386,0.156297,0.28899,0.288334,0.181155,0.310313,0.291276,0.373528,0.228848,0.081927,0.079428,0.129506,0.246568,0.208466,0.317965,0.19244,0.31638,0.22987,0.20342,0.282288,0.131912,0.274198,0.178805,0.279631,0.115647,0.294431,0.202797,0.93266,0.717262,0.279665,0.205611,0.140982,0.143859,0.248281,0.285864,0.252539,0.210681,0.458623,0.113918,0.177927,0.085854,0.034212,0.460317,0,0.43609,0.215084,0.127111,0.194394,0,0,1,0,0,0 +0.084466,0.009323,0.165654,0.410759,0.622447,0.647303,0.534767,0.577739,0.673093,0.842411,0.476524,0.136832,0.519041,0.520078,0.405619,0.489202,0.039491,0.045785,0.102516,0.167325,0.312146,0.215315,0.232195,0.201491,0.181679,0.257699,0.244735,0.22905,0.361185,0.304228,0.244099,0.183789,0.044824,0.083222,0.115181,0.194866,0.289244,0.30622,0.264098,0.271841,0.181229,0.140743,0.089857,0.119183,0.17803,0.130245,0.133533,0.079349,0.362424,0.312961,0.870241,0.578308,0.35447,0.309628,0.311828,0.263211,0.333476,0.335629,0.209081,0.133562,0.217189,0.122499,0.094268,0.102391,0.025131,0.492063,0.002541,0.466165,0.098187,0.067221,0.077388,0,0,0,1,0,0 +0.299372,0.169051,0.122978,0.566838,0.573469,0.366362,0.330717,0.437003,0.464881,0.32359,0.462304,0.417914,0.792964,0.67601,0.403208,0.215386,0.099411,0.131356,0.053932,0.234101,0.252606,0.132454,0.197893,0.212519,0.162856,0.357636,0.257723,0.208551,0.287327,0.274094,0.382076,0.301941,0.149163,0.535051,0.139603,0.573692,0.518678,0.394659,0.57982,0.565903,0.415002,0.42516,0.244394,0.150187,0.321386,0.222394,0.240904,0.280332,0.360515,0.519213,0.906176,0.671499,0.671729,0.35357,0.392322,0.321356,0.318898,0.504378,0.326674,0.20612,0.213794,0.219136,0.238815,0.367109,0.006243,0.126984,0,0.120301,0.050405,0.007712,0.028209,0,0,1,1,1,0 +0.420801,0.241246,0.089339,0.68213,0.281738,0.679614,0.375593,0.648048,0.476672,0.386424,0.519502,0.242351,0.441892,0.470515,0.338536,0.655584,0.281055,0.293505,0.056572,0.2351,0.2479,0.318121,0.131718,0.21867,0.173234,0.409895,0.311534,0.255799,0.495195,0.413997,0.483506,0.385178,0.187511,0.214049,0.151755,0.228721,0.203592,0.264918,0.285489,0.291112,0.149363,0.213894,0.253908,0.144122,0.182324,0.145386,0.269044,0.199272,0.424102,0.208048,0.904696,0.42044,0.39033,0.316,0.148154,0.227771,0.410551,0.495663,0.436622,0.304323,0.887788,0.590328,0.45345,0.553824,0.025626,0.698413,0.072919,0.661654,0.098913,0.106016,0.220918,1,1,1,0,0,0 +0.249046,0.136535,0.143152,0.468931,0.308187,0.55998,0.491262,0.449032,0.457242,0.389079,0.643533,0.354843,0.764941,0.456349,0.406469,0.362942,0.185972,0.236462,0.107786,0.249812,0.236953,0.262342,0.186343,0.207937,0.203661,0.333265,0.26257,0.257918,0.320943,0.31685,0.35414,0.240364,0.18374,0.235973,0.150875,0.537592,0.565876,0.339614,0.40322,0.465127,0.444477,0.332234,0.242447,0.231086,0.296539,0.155854,0.319991,0.27107,0.336534,0.322007,0.884877,0.46978,0.381303,0.38027,0.262735,0.282053,0.361238,0.483786,0.347434,0.393367,0.293119,0.352946,0.190224,0.276457,0.141617,0.650794,0.213491,0.616541,0.241703,0.357145,0.570108,0,1,0,1,0,0 +0.272867,0.137902,0.19264,0.563673,0.416937,0.461741,0.468348,0.744625,0.541652,0.466432,0.548072,0.345168,0.597546,0.439058,0.248127,0.350109,0.25603,0.285694,0.142871,0.312343,0.261403,0.445915,0.614271,0.578848,0.6123,0.616229,0.538031,0.368402,0.484138,0.427914,0.544068,0.297055,0.103095,0.174448,0.138429,0.172925,0.253646,0.397215,0.369435,0.542024,0.439239,0.30303,0.151411,0.141622,0.194063,0.190751,0.218918,0.173273,0.435743,0.429407,0.864753,0.551067,0.273793,0.493885,0.478886,0.661844,0.665057,0.685764,0.380569,0.25536,0.282391,0.251041,0.173772,0.225859,0.10495,0.253968,0.180888,0.240602,0.135666,0.244904,0.235277,0,0,1,0,1,0 +0.416978,0.242323,0.145129,0.754244,0.341582,0.39053,0.554964,0.394064,0.32315,0.617053,0.553571,0.405255,0.356143,0.69665,0.291734,0.501793,0.320942,0.287404,0.075033,0.206284,0.205115,0.393968,0.722746,0.655281,0.414061,0.592938,0.640008,0.351752,0.563689,0.481161,0.43321,0.272259,0.138149,0.149206,0.154867,0.110822,0.205819,0.265511,0.410164,0.281768,0.162896,0.198195,0.123159,0.122499,0.126734,0.173887,0.142002,0.083635,0.308955,0.233245,0.914801,0.41027,0.232054,0.566224,0.506995,0.511591,0.406776,0.554976,0.362043,0.243071,0.37346,0.172876,0.116857,0.13033,0.015044,0.619048,0,0.586466,0.019138,0.029235,0.013404,1,0,0,0,0,1 +0.355049,0.17156,0.158605,0.78139,0.531521,0.332613,0.614002,0.049812,0.650713,0.314018,0.664792,0.336721,0.403374,0.422821,0.352804,0.220469,0.135805,0.108977,0.084154,0.20236,0.245753,0.188619,0.143403,0.20419,0.216221,0.354327,0.332873,0.198919,0.40049,0.348106,0.524885,0.322566,0.237285,0.294632,0.25361,0.275726,0.494057,0.395692,0.275912,0.293026,0.387274,0.240364,0.222152,0.11058,0.25812,0.153742,0.2375,0.190974,0.290465,0.201817,0.89777,0.335541,0.370989,0.317017,0.183837,0.219604,0.331435,0.560597,0.311555,0.219333,0.429748,0.388614,0.363416,0.255069,0.074899,0.730159,0.074441,0.691729,0.143868,0.292192,0.363583,1,1,0,0,0,0 +0.280777,0.558355,0.222122,0.726285,0.202043,0.50743,0.364898,0.63303,0.385348,0.692826,0.645108,0.461949,0.893224,0.323889,0.391781,0.506098,0.321128,0.754215,0.220358,0.370082,0.559059,0.480505,0.694119,0.484968,0.504374,0.654449,0.366217,0.210906,0.309659,0.223968,0.317472,0.223089,0.145626,0.296033,0.26318,0.175823,0.383842,0.198517,0.196145,0.46456,0.340124,0.356485,0.170306,0.140456,0.306738,0.221981,0.15609,0.051884,0.383485,0.238689,0.862488,0.407552,0.603614,0.284022,0.246155,0.633327,0.341034,0.465749,0.223776,0.228825,0.430815,0.235711,0.092895,0.061898,0.533815,0.253968,0.574546,0.240602,0.548248,0.63327,0.641099,1,0,0,0,0,1 +0.393395,0.192603,0.088661,0.613954,0.456699,0.313151,0.449155,0.287112,0.261102,0.346384,0.507649,0.169097,0.267984,0.548387,0.349121,0.42564,0.102681,0.083,0.030013,0.095191,0.082223,0.075123,0.072652,0.17891,0.185137,0.382653,0.341797,0.250457,0.375944,0.366359,0.410399,0.299157,0.044889,0.105562,0.097276,0.438947,0.296389,0.082397,0.120022,0.437306,0.341077,0.499548,0.182196,0.182505,0.307639,0.293354,0.238011,0.204314,0.310736,0.224281,0.933966,0.46867,0.308918,0.116066,0.095119,0.131919,0.23243,0.380947,0.192594,0.256398,0.246432,0.226292,0.190019,0.227865,0.125451,0.333333,0.176376,0.315789,0.394272,0.064362,0.418352,1,1,0,0,0,0 +0.379713,0.422435,0.262425,0.696436,0.282527,0.518994,0.482166,0.63438,0.254986,0.571832,0.426744,0.296156,0.558985,0.476379,0.398715,0.375397,0.397502,0.642229,0.151464,0.368768,0.401976,0.55692,0.684821,0.559661,0.603366,0.790147,0.560798,0.37462,0.536622,0.501076,0.572093,0.362397,0.283859,0.352113,0.182224,0.164703,0.279958,0.19982,0.449637,0.311335,0.238042,0.178405,0.154644,0.127149,0.198987,0.118101,0.147503,0.106587,0.479407,0.329117,0.87586,0.404568,0.3746,0.481892,0.471043,0.459467,0.356583,0.553655,0.356641,0.274566,0.242213,0.238394,0.166916,0.131958,0.029484,0.126984,0.001416,0.571429,0.053487,0.135148,0.108781,0,0,0,0,0,1 +0.325008,0.233515,0.072553,0.852536,0.269744,0.477294,0.421507,0.477744,0.396498,0.397835,0.54808,0.26778,0.510994,0.587764,0.27263,0.171388,0.210118,0.220098,0.029683,0.031776,0.052527,0.094998,0.047682,0.096042,0.125759,0.244116,0.149685,0.083323,0.197097,0.186505,0.199215,0.165559,0.099894,0.150024,0.16696,0.017985,0.063877,0.085123,0.061558,0.086454,0.167027,0.067603,0.043845,0.04882,0.050199,0.063737,0.118948,0.086331,0.422725,0.21815,0.932311,0.437201,0.130746,0.336569,0.176959,0.181316,0.204145,0.224508,0.119561,0.078881,0.047654,0.05781,0.065528,0.072231,0.03349,0.111111,0.041672,0.105263,0.157937,0.107383,0.139114,1,0,0,0,0,1 +0.275318,0.124162,0.132071,0.529654,0.527786,0.388682,0.443861,0.440191,0.403246,0.397089,0.485528,0.353448,0.438282,0.403164,0.384881,0.335612,0.093757,0.091595,0.031796,0.183121,0.159602,0.061544,0.094535,0.148726,0.164556,0.31417,0.31638,0.218793,0.3985,0.361896,0.441584,0.264691,0.036187,0.063623,0.116414,0.393106,0.196981,0.080483,0.202787,0.15875,0.156986,0.110603,0.154912,0.161437,0.259482,0.217724,0.214493,0.110267,0.308331,0.224427,0.926257,0.67115,0.296054,0.072707,0.109499,0.141727,0.133054,0.286527,0.180561,0.133731,0.365992,0.235377,0.150934,0.120447,0.042432,0,0.175407,0,0.109897,0.308926,0.254244,1,1,0,0,0,0 +0.418787,0.357459,0.329737,0.734794,0.296019,0.599719,0.450898,0.550722,0.298084,0.537894,0.540683,0.452826,0.467211,0.338903,0.449367,0.338813,0.494622,0.588825,0.192237,0.301598,0.412802,0.45264,0.573213,0.607776,0.49788,0.72095,0.678618,0.418056,0.62696,0.468543,0.777493,0.454153,0.153337,0.233986,0.076201,0.060392,0.16855,0.17132,0.319054,0.424637,0.269996,0.320573,0.22898,0.178082,0.168181,0.205049,0.290258,0.16741,0.417106,0.152227,0.833827,0.369111,0.215208,0.241959,0.338122,0.52933,0.375502,0.453246,0.252184,0.236405,0.342169,0.204431,0.171761,0.185124,0.153519,0.190476,0.179835,0.180451,0.167371,0.39156,0.362599,1,0,0,0,0,1 +0.424586,0.282986,0.05544,0.957781,0.234883,0.222271,0.474022,0.481186,0.335771,0.59613,0.684562,0.476146,0.776274,0.440569,0.277743,0.370652,0.164577,0.115972,0.02185,0.018208,0.017898,0.06728,0.038247,0.075877,0.0489,0.148376,0.159007,0.10415,0.175893,0.18404,0.182465,0.135622,0.164042,0.204261,0.223964,0.039401,0.125242,0.092078,0.201536,0.238679,0.183372,0.169181,0.10585,0.103246,0.084433,0.103245,0.16784,0.096052,0.301078,0.221529,0.948732,0.40492,0.202149,0.259438,0.161601,0.228447,0.108246,0.190943,0.111387,0.086434,0.181989,0.132835,0.071496,0.072294,0.008467,0,0.011079,0.390977,0.054482,0.009126,0.032811,1,0,0,0,0,1 +0.318836,0.122377,0.102758,0.200802,0.631744,0.205538,0.49801,0.319691,0.335277,0.507637,0.622041,0.261869,0.373344,0.281264,0.32275,0.444958,0.079756,0.061838,0.040586,0.153128,0.134661,0.095306,0.124827,0.181843,0.217322,0.334205,0.440978,0.327619,0.512883,0.499021,0.499477,0.334647,0.082086,0.097886,0.12158,0.408687,0.403181,0.389687,0.576115,0.449622,0.468172,0.319481,0.227631,0.224097,0.389938,0.369962,0.317172,0.233859,0.283689,0.205337,0.938671,0.65449,0.36551,0.159738,0.175892,0.1821,0.298642,0.334151,0.298676,0.250672,0.525846,0.309378,0.28532,0.220768,0.016687,0.111111,0.01783,0.105263,0.105514,0.120273,0.123198,0,1,1,1,0,0 +0.523176,0.367208,0.083296,0.868497,0.243358,0.421502,0.537994,0.439111,0.406641,0.555447,0.527101,0.400981,0.62917,0.57387,0.368266,0.423933,0.253442,0.239013,0.036802,0.042688,0.101339,0.171222,0.222663,0.21249,0.164036,0.241787,0.243752,0.138246,0.261887,0.229901,0.319116,0.206458,0.136942,0.183067,0.099155,0.076464,0.238716,0.113234,0.08299,0.198559,0.095834,0.135459,0.108056,0.056037,0.076326,0.080063,0.076073,0.076522,0.270175,0.225219,0.935665,0.66869,0.338889,0.218297,0.277487,0.317792,0.130603,0.17187,0.164059,0.086337,0.076252,0.077771,0.096102,0.125686,0.076108,0.253968,0.088286,0.240602,0.137038,0.204344,0.177483,1,0,0,0,0,1 +0.308016,0.140638,0.225624,0.657536,0.473682,0.249265,0.654774,0.396093,0.712463,0.470117,0.571888,0.388266,0.573171,0.488708,0.452094,0.486788,0.284411,0.209912,0.151211,0.36247,0.422969,0.629572,0.461308,0.444262,0.545872,0.541891,0.58124,0.297402,0.468361,0.487834,0.539883,0.246145,0.108531,0.13903,0.104438,0.133349,0.251789,0.354738,0.309201,0.283063,0.244616,0.209304,0.136622,0.10772,0.144361,0.143693,0.144781,0.098445,0.341437,0.202357,0.860223,0.342202,0.306656,0.442951,0.395475,0.321073,0.468044,0.403467,0.284451,0.160836,0.178879,0.31108,0.189637,0.119301,0.019539,0.269841,0.135291,0.255639,0.141573,0.292725,0.225545,0,0,1,0,1,0 +0.458844,0.27107,0.200242,0.617037,0.236976,0.422272,0.486604,0.538609,0.59493,0.674198,0.586465,0.391611,0.714998,0.403813,0.488025,0.489811,0.362197,0.299196,0.129867,0.306152,0.339776,0.502439,0.613301,0.435438,0.525435,0.639376,0.512165,0.288644,0.365113,0.403492,0.49314,0.343512,0.176544,0.162493,0.178584,0.226671,0.151672,0.26706,0.444482,0.364016,0.350794,0.230933,0.267949,0.163259,0.159641,0.228969,0.246078,0.152698,0.348414,0.292527,0.887098,0.451022,0.253956,0.386577,0.363857,0.45257,0.434785,0.484932,0.327826,0.23467,0.187137,0.222692,0.160778,0.344471,0.059149,0.428571,0.001694,0.406015,0.171885,0.077038,0.130334,0,0,1,1,0,0 +0.424305,0.268834,0.099144,0.917028,0.34568,0.299195,0.514989,0.446644,0.340986,0.569641,0.489689,0.441858,0.550409,0.518113,0.270289,0.407837,0.203987,0.194275,0.057837,0.048568,0.135691,0.225379,0.241403,0.249536,0.148478,0.323014,0.286412,0.1391,0.3312,0.22788,0.225267,0.165021,0.113042,0.151078,0.123694,0.217141,0.194937,0.215977,0.261146,0.474822,0.152732,0.158624,0.23108,0.147443,0.146806,0.110516,0.12351,0.076842,0.317273,0.250892,0.924601,0.443644,0.344291,0.566338,0.358058,0.392245,0.290669,0.367601,0.194402,0.103139,0.244249,0.106463,0.088977,0.106907,0.159425,0.301587,0,0.285714,0.202584,0.132997,0.204248,0,0,0,0,1,1 +0.318485,0.155951,0.107875,0.401937,0.488515,0.377561,0.468848,0.450814,0.362459,0.373817,0.417319,0.298658,0.563741,0.677317,0.537362,0.42897,0.126306,0.120627,0.034711,0.165581,0.162454,0.102482,0.130073,0.195774,0.210411,0.369787,0.408875,0.269315,0.523107,0.465858,0.447902,0.335729,0.145504,0.16191,0.080427,0.871953,0.425633,0.205071,0.320578,0.412052,0.255159,0.263051,0.230968,0.138578,0.565238,0.57117,0.242282,0.18903,0.276106,0.259234,0.937233,0.80008,0.297259,0.325957,0.152479,0.238688,0.185266,0.275888,0.21635,0.19699,0.573082,0.460314,0.206697,0.198506,0.039364,0.412698,0.073599,0.390977,0.222848,0.107135,0.292149,0,1,1,0,0,0 +0.270076,0.118518,0.132625,0.351789,0.611908,0.307534,0.558827,0.391385,0.182481,0.575138,0.526053,0.083775,0.791027,0.405706,0.489413,0.268928,0.091466,0.09292,0.057804,0.139611,0.163171,0.226721,0.229063,0.524094,0.265111,0.533565,0.568956,0.479566,0.687521,0.588455,0.710716,0.384427,0.06397,0.097636,0.089175,0.439004,0.193939,0.366625,0.49192,1,0.518105,0.484549,0.382031,0.322926,0.380526,0.471329,0.259128,0.177977,0.316704,0.225659,0.911752,0.664495,0.375192,0.560199,0.241748,0.643153,0.330111,0.562517,0.521374,0.493249,0.720961,0.56243,0.340921,0.353541,0.020575,0.285714,0.015616,0.270677,0.136995,0.126928,0.140332,0,0,1,1,0,0 +0.611735,0.550262,0.279268,0.627866,0.135059,0.679312,0.472955,0.530152,0.154313,0.568695,0.471355,0.491705,0.795957,0.419103,0.499638,0.400401,0.626204,0.606608,0.149197,0.373068,0.298132,0.592786,0.599744,0.613104,0.692052,0.791491,0.817798,0.457126,0.553895,0.478525,0.578225,0.352003,0.264058,0.266733,0.213162,0.055643,0.180952,0.251437,0.277672,0.406185,0.398114,0.185931,0.145845,0.104491,0.153167,0.111014,0.135999,0.095535,0.500578,0.185978,0.880608,0.519773,0.264871,0.395552,0.353346,0.397094,0.549826,0.476738,0.518676,0.258215,0.28595,0.132438,0.091676,0.119124,0.186226,0.063492,0,0.06015,0.332112,0.048446,0.189775,0,0,0,0,0,1 +0.212633,0.094003,0.071322,0.746963,0.507365,0.431835,0.440611,0.438081,0.320346,0.408881,0.463683,0.360833,0.813329,0.487432,0.441273,0.376531,0.115976,0.100748,0.062293,0.06976,0.151752,0.158008,0.196407,0.211079,0.200583,0.381828,0.413878,0.159604,0.338277,0.255739,0.285711,0.2197,0.196579,0.172138,0.176647,0.054223,0.216749,0.26786,0.256888,0.389165,0.294831,0.184117,0.222013,0.08032,0.209973,0.156704,0.173895,0.126739,0.513597,0.307493,0.912928,0.53562,0.388232,0.271224,0.25099,0.266098,0.273839,0.352188,0.362829,0.144493,0.337168,0.08585,0.130475,0.158656,0.009288,0.111111,0.024339,0.548872,0.050022,0.041603,0.071036,0,0,1,1,1,0 +0.276387,0.14544,0.16623,0.697513,0.424247,0.356851,0.591906,0.458179,0.490967,0.511869,0.409831,0.288363,0.265031,0.481748,0.387657,0.266569,0.157796,0.173824,0.090645,0.287928,0.260735,0.362963,0.147292,0.19427,0.145061,0.427489,0.311895,0.179039,0.459708,0.524824,0.778673,0.718543,0.067357,0.126261,0.282494,0.132636,0.36869,0.173468,0.150146,0.173603,0.121612,0.147729,0.105134,0.087526,0.237497,0.211496,0.417497,0.231011,0.295349,0.325691,0.886183,0.439072,0.292411,0.243007,0.175725,0.228772,0.221355,0.462633,0.257433,0.114337,0.501594,0.358396,0.371035,0.800758,0.071898,0.047619,0.036006,0.045113,0.214216,0.127178,0.200457,1,0,0,0,0,0 +0.243031,0.118712,0.10757,0.290173,0.658117,0.25237,0.512336,0.492922,0.474691,0.369074,0.478331,0.293318,0.506316,0.481186,0.286961,0.326912,0.091063,0.093179,0.031807,0.228539,0.149112,0.143319,0.128028,0.220173,0.225122,0.380746,0.34416,0.25885,0.462062,0.435486,0.490663,0.344061,0.073505,0.170215,0.070741,0.477365,0.312048,0.244602,0.202639,0.316826,0.210625,0.221337,0.209275,0.198887,0.389759,0.340967,0.334794,0.208596,0.333395,0.441422,0.931788,0.785676,0.344459,0.180938,0.120584,0.156743,0.172245,0.268569,0.220887,0.226424,0.400977,0.251098,0.19919,0.279011,0.046473,0.603175,0.012509,0.571429,0.235184,0.113806,0.293892,0,1,1,0,0,0 +0.080865,0.003932,0.145073,0.239554,0.696746,0.518547,0.590133,0.73586,0.558834,1,0.528958,0.442412,0.630832,0.412174,0.430231,0.423773,0.038165,0.036275,0.115884,0.28848,0.266289,0.487841,0.094251,0.117499,0.102264,0.358948,0.279949,0.118531,0.30579,0.25898,0.346301,0.243819,0.044702,0.066543,0.110778,0.246833,0.192711,0.341848,0.144574,0.235995,0.263929,0.291213,0.158862,0.090984,0.216614,0.282563,0.424046,0.276006,0.349406,0.260214,0.875599,0.646225,0.325749,0.590496,0.170775,0.210268,0.265184,0.591464,0.261787,0.101679,0.343251,0.24996,0.22257,0.40416,0.009306,0.365079,0.022871,0.345865,0.125705,0.020006,0.084096,0,0,1,1,1,0 +0.332561,0.250999,0.07008,0.969646,0.285419,0.194595,0.453925,0.539416,0.29828,0.489016,0.61283,0.552866,0.786017,0.527278,0.395104,0.436398,0.140091,0.123129,0.043106,0.021757,0.058578,0.089292,0.068752,0.132228,0.125245,0.187857,0.114338,0.10021,0.210257,0.175539,0.225238,0.149754,0.067498,0.167706,0.098568,0.057858,0.342369,0.410932,0.21798,0.108736,0.336329,0.084056,0.04716,0.074506,0.056935,0.07817,0.096648,0.078486,0.303593,0.228475,0.915585,0.579623,0.331026,0.237603,0.151592,0.158521,0.262509,0.202015,0.060042,0.079296,0.153257,0.075035,0.078404,0.117986,0.008029,0.333333,0.045553,0.315789,0.04526,0.021333,0.056873,1,0,0,0,0,1 +0.301327,0.221873,0.094806,0.898171,0.271664,0.404096,0.449352,0.494402,0.428144,0.442408,0.484406,0.262294,0.392816,0.696724,0.302671,0.274559,0.180226,0.198325,0.044525,0.02792,0.066427,0.122327,0.128121,0.172287,0.120823,0.316115,0.309817,0.15633,0.215744,0.197914,0.231599,0.160887,0.059768,0.100377,0.052072,0.082009,0.082622,0.139507,0.230034,0.306234,0.137293,0.125254,0.150764,0.093982,0.073232,0.139513,0.093606,0.104606,0.298728,0.171112,0.9334,0.323608,0.141327,0.185805,0.216125,0.207716,0.081308,0.228462,0.244733,0.122945,0.129848,0.033418,0.07383,0.142998,0.084171,0.079365,0.031535,0.075188,0.158149,0.034258,0.091384,1,0,0,0,0,1 +0.201403,0.162531,0.281323,0.557584,0.41159,0.6524,0.512297,0.571254,0.520915,0.404719,0.580576,0.478765,0.597379,0.502429,0.234978,0.457772,0.227079,0.415227,0.283201,0.416427,0.455344,0.785535,0.468345,0.471073,0.447747,0.577871,0.471487,0.28556,0.468658,0.392447,0.516062,0.28491,0.125057,0.199506,0.134554,0.337054,0.328855,0.318552,0.275832,0.349164,0.320854,0.301087,0.126023,0.132894,0.239489,0.130178,0.177174,0.100076,0.422504,0.389743,0.820847,0.350362,0.382368,0.539054,0.296063,0.319418,0.545184,0.482101,0.331934,0.284029,0.376951,0.201978,0.165361,0.140339,0.205951,0.349206,0.091543,0.330827,0.217963,0.089456,0.277274,0,0,1,0,1,0 +0.07363,0.307736,0.275755,0.443194,0.609551,0.832746,0.461162,0.851723,0.53226,0.544576,0.530529,0.481366,0.889908,0.617526,0.348598,0.192824,0.106458,0.790114,0.246741,0.297805,0.454671,0.572688,0.382526,0.38916,0.434996,0.386245,0.431682,0.089911,0.336885,0.207444,0.278332,0.170486,0.057887,0.306823,0.379535,0.308742,0.608327,0.355209,0.348916,0.388727,0.371147,0.191486,0.273133,0.090341,0.305383,0.11152,0.249744,0.117324,0.466885,0.465363,0.912623,0.456772,0.299496,0.364819,0.334938,0.346999,0.71972,0.447155,0.456058,0.141974,0.396083,0.134037,0.142151,0.144292,0.278393,0.253968,0.349254,0.240602,0.331711,0.419263,0.42743,0,0,0,0,0,1 +0.337151,0.162219,0.125011,0.426458,0.508373,0.274047,0.379637,0.499921,0.28024,0.422842,0.468965,0.271129,0.502722,0.528253,0.350951,0.363042,0.139744,0.114354,0.045163,0.16942,0.143825,0.180784,0.113142,0.217677,0.200961,0.357309,0.461745,0.275538,0.441265,0.43009,0.438099,0.296272,0.091744,0.106505,0.167958,0.369545,0.260137,0.298371,0.281359,0.351458,0.298758,0.242728,0.191552,0.176294,0.352646,0.259239,0.24074,0.179096,0.314335,0.300693,0.916413,0.504755,0.311272,0.363075,0.107404,0.209757,0.209189,0.295035,0.316099,0.193857,0.297484,0.250615,0.097514,0.137547,0.039715,0.460317,0.184628,0.43609,0.215037,0.032122,0.30623,1,1,0,0,0,0 +0.198498,0.107955,0.031572,0.471683,0.440483,0.40484,0.511699,0.432087,0.562056,0.847466,0.586842,0.299476,0.378477,0.557115,0.579794,0.571896,0.092927,0.106446,0.076277,0.106639,0.136503,0.075398,0.11467,0.116547,0.089812,0.226498,0.270373,0.153725,0.216161,0.198119,0.275364,0.183146,0.055333,0.1109,0.156863,0.302824,0.226532,0.117401,0.173506,0.152973,0.293749,0.193995,0.146888,0.097143,0.154854,0.114772,0.139289,0.086482,0.304805,0.195763,0.925865,0.575408,0.298017,0.062609,0.149119,0.138701,0.181573,0.319636,0.164819,0.100186,0.118751,0.077783,0.081918,0.100679,0.045466,0.460317,0.055209,0.43609,0.220178,0.086772,0.247617,1,0,1,0,0,0 +0.51363,0.332015,0.100081,0.899776,0.202192,0.298234,0.571158,0.416987,0.359417,0.576262,0.521476,0.440565,0.747184,0.373858,0.333243,0.314161,0.304556,0.219812,0.056539,0.048335,0.133112,0.137656,0.187563,0.222622,0.29588,0.322857,0.319775,0.183896,0.32261,0.295558,0.410703,0.241811,0.072008,0.082589,0.076259,0.016387,0.095428,0.082214,0.207652,0.235507,0.354831,0.30646,0.132352,0.086127,0.100703,0.139594,0.162619,0.115446,0.272837,0.204188,0.925734,0.432616,0.206775,0.151218,0.194481,0.17053,0.242297,0.196799,0.235462,0.123998,0.220971,0.092625,0.121544,0.102649,0.401359,0.301587,0.729669,0.285714,0.617209,0.632191,0.707321,1,0,0,0,0,1 +0.249947,0.126802,0.060241,0.625382,0.413873,0.578696,0.537382,0.585869,0.389985,0.412699,0.548407,0.49995,0.574694,0.595278,0.373152,0.392052,0.187521,0.205777,0.075231,0.160068,0.234029,0.211842,0.303443,0.171931,0.281796,0.295733,0.307844,0.223205,0.235684,0.242426,0.212484,0.12615,0.119274,0.207639,0.150816,0.185384,0.294864,0.160334,0.370817,0.246381,0.403011,0.208234,0.191278,0.165945,0.191843,0.228801,0.204113,0.092181,0.44463,0.303908,0.913886,0.406007,0.394428,0.380254,0.435588,0.230144,0.440462,0.417877,0.283191,0.289736,0.218512,0.204986,0.109433,0.110555,0.013174,0.428571,0.026653,0.406015,0.124753,0.088197,0.143831,0,0,1,1,1,0 +0.29461,0.114412,0.086165,0.431875,0.585818,0.377388,0.454795,0.411047,0.437941,0.458762,0.487357,0.346196,0.44515,0.361364,0.310216,0.211804,0.079118,0.068745,0.032456,0.171076,0.151962,0.075434,0.121491,0.181193,0.188716,0.416492,0.394861,0.289259,0.502206,0.414812,0.501427,0.265671,0.091594,0.133748,0.081073,0.602382,0.425963,0.131364,0.3203,0.193443,0.220883,0.308399,0.25562,0.237054,0.443002,0.351743,0.495439,0.243435,0.313784,0.211374,0.93009,0.568919,0.518199,0.154018,0.206318,0.188402,0.1893,0.29881,0.314634,0.277313,0.598091,0.294606,0.273879,0.175694,0.039189,0.730159,0,0.691729,0.025142,0.17449,0.109909,0,0,1,1,0,0 +0.170568,0.09677,0.233327,0.513419,0.679109,0.356577,0.367386,0.624911,0.341852,0.414257,0.445075,0.448702,0.537822,0.572632,0.241431,0.478235,0.106068,0.248994,0.191544,0.274454,0.269321,0.356277,0.514593,0.442726,0.626915,0.699801,0.616642,0.322164,0.481042,0.424546,0.571346,0.372459,0.081413,0.086642,0.077844,0.233017,0.238724,0.330495,0.470662,0.441112,0.466124,0.342981,0.261282,0.143683,0.237617,0.204321,0.343977,0.168955,0.297589,0.431812,0.855998,0.510951,0.343242,0.394521,0.423012,0.374144,0.610701,0.552564,0.437099,0.240924,0.390936,0.19325,0.213127,0.228432,0.178732,0.666667,0,0.631579,0.190141,0.317955,0.279998,0,0,1,0,0,0 +0.306899,0.157345,0.110519,0.747418,0.441969,0.235483,0.296715,0.484763,0.40062,0.357499,0.622671,0.39079,0.7064,0.565444,0.330108,0.495948,0.096247,0.074855,0.058541,0.054313,0.096266,0.205152,0.201298,0.175789,0.256011,0.347648,0.242886,0.146949,0.226534,0.264861,0.313883,0.19115,0.024517,0.035136,0.150112,0.053742,0.083998,0.156277,0.20488,0.139687,0.251216,0.118039,0.106643,0.062895,0.065914,0.07221,0.084135,0.062347,0.282661,0.207062,0.912667,0.497726,0.320354,0.309202,0.286278,0.207383,0.392021,0.276459,0.179912,0.097099,0.113447,0.109921,0.09179,0.095636,0.097422,0.380952,0.2221,0.360902,0.167566,0.137604,0.294047,0,0,0,0,0,1 +0.279557,0.430841,0.210623,0.682018,0.321036,0.402492,0.445478,0.512744,0.356847,0.652334,0.472076,0.315223,0.70379,0.338884,0.359631,0.381875,0.287644,0.675331,0.117655,0.296584,0.263997,0.421599,0.428464,0.553569,0.439901,0.620493,0.590109,0.286739,0.463151,0.438194,0.436917,0.311619,0.131486,0.287377,0.077844,0.126562,0.128875,0.127284,0.157156,0.288948,0.151247,0.158656,0.12741,0.055512,0.083236,0.125387,0.0828,0.073536,0.281302,0.439028,0.875468,0.34367,0.124399,0.27037,0.247818,0.358467,0.257867,0.431195,0.350558,0.200611,0.219076,0.193076,0.160051,0.162395,0.009801,0.126984,0,0.120301,0.041981,0,0.013083,0,0,0,0,1,1 +0.148172,0.173146,0.249469,0.643104,0.311451,0.659126,0.62162,0.60556,0.305015,0.590109,0.394425,0.221729,0.499348,0.399598,0.430282,0.603896,0.21514,0.510081,0.200775,0.301255,0.42424,0.568316,0.679594,0.394941,0.437647,0.64751,0.548738,0.334336,0.458272,0.312359,0.39248,0.292116,0.045713,0.226836,0.157274,0.1867,0.166933,0.367215,0.367021,0.459903,0.344915,0.22755,0.156058,0.179649,0.223253,0.140575,0.135634,0.112505,0.349645,0.387965,0.880913,0.476824,0.392786,0.436578,0.707758,0.380423,0.660199,0.625885,0.455917,0.236532,0.318645,0.159044,0.087857,0.169354,0.100767,0.349206,0.000765,0.330827,0.143825,0.093711,0.146538,0,0,1,0,1,0 +0.106268,0.018771,0.144926,0.253701,0.719287,0.548842,0.596319,0.654632,0.53486,0.70584,0.553328,0.615064,0.917076,0.482248,0.283901,0.366467,0.082685,0.085003,0.205659,0.319936,0.395851,0.348854,0.256127,0.243687,0.227923,0.504676,0.385394,0.287554,0.372249,0.229088,0.254452,0.18522,0.095777,0.151619,0.23911,0.551102,0.404258,0.469175,0.3492,0.273841,0.30062,0.341871,0.315869,0.175044,0.415947,0.141649,0.180009,0.128352,0.478801,0.419416,0.858394,0.510297,0.41006,0.368841,0.464051,0.374365,0.667853,0.686556,0.487814,0.441651,0.640781,0.215499,0.191876,0.233491,0.00807,0.730159,0,0.691729,0.020902,0.078925,0.05194,0,0,1,1,1,0 +0.344585,0.204007,0.21932,0.835713,0.351433,0.410929,0.424079,0.440584,0.20924,0.594479,0.509882,0.362778,0.551858,0.467864,0.417049,0.323821,0.266576,0.267904,0.097741,0.264731,0.247526,0.376177,0.58157,0.514056,0.419829,0.730141,0.641055,0.352346,0.640473,0.500874,0.541372,0.358699,0.089105,0.142538,0.226253,0.161608,0.176621,0.187205,0.228596,0.363486,0.214574,0.188642,0.133652,0.083133,0.160882,0.112827,0.116924,0.116551,0.400066,0.363853,0.892412,0.495107,0.447158,0.426724,0.493304,0.544097,0.322724,0.56846,0.339397,0.118891,0.315669,0.18563,0.140155,0.16669,0.157653,0.015873,0.347614,0.015038,0.295165,0.406474,0.390637,1,0,0,0,0,1 +0.482342,0.364644,0.214282,0.718607,0.183555,0.588237,0.594532,0.697,0.25777,0.400677,0.542884,0.388918,0.756755,0.466042,0.462512,0.304349,0.357324,0.42001,0.09081,0.27355,0.265429,0.477715,0.653666,0.466641,0.604242,0.721856,0.58845,0.369045,0.559296,0.520488,0.524853,0.360123,0.141377,0.191376,0.030997,0.111577,0.128497,0.220293,0.36524,0.284884,0.285498,0.17149,0.178231,0.084111,0.185303,0.177425,0.129928,0.070143,0.213382,0.205959,0.898859,0.326929,0.134211,0.356221,0.404656,0.328692,0.498934,0.450037,0.356623,0.140389,0.227043,0.207564,0.112461,0.172832,0.080337,0.174603,0.007248,0.639098,0.207596,0.021448,0.208962,0,0,0,0,0,1 +0.148269,0.032925,0.060015,0.470308,0.592016,0.72223,0.456665,0.748884,0.435463,0.209743,0.361729,0.120443,0.385954,0.188987,0.359631,0.336,0.045683,0.087747,0.031994,0.172543,0.160632,0.367553,0.102435,0.097513,0.131502,0.277668,0.314832,0.302071,0.338959,0.260621,0.482925,0.251889,0.054425,0.115715,0.150933,0.237031,0.404231,0.426271,0.201072,0.209482,0.134945,0.18231,0.211543,0.215588,0.315268,0.235692,0.358546,0.208619,0.331669,0.389092,0.927346,0.516646,0.442123,0.752318,0.276994,0.140985,0.236058,0.32087,0.279616,0.363549,0.45768,0.375258,0.441011,0.429205,0.104618,0.095238,0,0.526316,0.352041,0.00244,0.175895,0,0,0,0,1,0 +0.196921,0.083909,0.055869,0.412419,0.711369,0.259561,0.419191,0.622618,0.453912,0.337634,0.524411,0.476894,0.64551,0.382988,0.374604,0.260667,0.06589,0.038018,0.022939,0.095671,0.070988,0.070234,0.089262,0.114552,0.174358,0.257266,0.266041,0.14816,0.230942,0.253777,0.312583,0.203825,0.070614,0.082806,0.089468,0.543573,0.293629,0.237533,0.281782,0.331933,0.242933,0.406077,0.227932,0.235438,0.151892,0.11819,0.101779,0.159887,0.331962,0.227132,0.935709,0.59893,0.436192,0.177832,0.141817,0.124914,0.266996,0.32789,0.167693,0.184426,0.088546,0.121951,0.103149,0.070932,0.012656,0.301587,0.005291,0.285714,0.133577,0.032106,0.112347,0,0,1,1,0,1 +0.532533,0.338,0.117917,0.924455,0.278622,0.371733,0.378334,0.428103,0.428192,0.389814,0.519403,0.505306,0.737087,0.449465,0.310787,0.406249,0.283266,0.265835,0.056143,0.122876,0.138382,0.217201,0.362586,0.261106,0.346855,0.501048,0.360695,0.22596,0.356275,0.368025,0.375789,0.291546,0.129128,0.208157,0.06305,0.020786,0.117501,0.124105,0.258108,0.239738,0.235419,0.278314,0.168475,0.155765,0.186135,0.162894,0.162313,0.16999,0.293035,0.233579,0.918503,0.431744,0.219697,0.174692,0.236421,0.256316,0.275664,0.342659,0.192918,0.152411,0.254955,0.20665,0.114255,0.212664,0.129129,0.031746,0.289801,0.43609,0.262386,0,0.322915,1,0,0,0,0,1 +0.336551,0.184077,0.108226,0.875464,0.467411,0.307971,0.351328,0.510194,0.244968,0.280076,0.42738,0.336552,0.475916,0.390446,0.382071,0.444389,0.141075,0.134107,0.068575,0.047203,0.115671,0.152783,0.095538,0.117803,0.1123,0.189283,0.193417,0.091789,0.228339,0.209598,0.21327,0.151899,0.079766,0.160982,0.15381,0.090123,0.219895,0.229724,0.232983,0.240775,0.243593,0.141749,0.146513,0.128074,0.13304,0.146346,0.220125,0.179691,0.357797,0.301603,0.906569,0.331429,0.315543,0.357331,0.208048,0.179375,0.2173,0.188406,0.138427,0.052299,0.177713,0.106719,0.068933,0.092906,0.150585,0.095238,0.357061,0.090226,0.284253,0.416872,0.409954,1,0,0,0,1,0 +0.249866,0.10687,0.069402,0.359434,0.526952,0.473291,0.345409,0.665834,0.487824,0.513094,0.511291,0.407381,0.516094,0.48475,0.501384,0.552915,0.134728,0.176604,0.054724,0.13975,0.170905,0.242092,0.169897,0.260688,0.352056,0.542393,0.582607,0.339992,0.588582,0.509238,0.638919,0.384533,0.135248,0.178312,0.106728,0.560879,1,0.348569,0.318226,0.408391,0.45227,0.383336,0.38111,0.222371,0.398547,0.309601,0.317361,0.216135,0.340629,0.441369,0.929959,0.519231,0.336549,0.262306,0.201931,0.379232,0.86768,0.714633,0.779665,0.456605,0.924829,0.556327,0.375497,0.451261,0.052869,0.380952,0.124252,0.360902,0.199765,0.018567,0.201797,0,0,1,0,0,0 +0.186625,0.059895,0.091338,0.537077,0.546237,0.605182,0.419179,0.458622,0.32866,0.438028,0.50333,0.358075,0.693156,0.529091,0.352211,0.492303,0.094048,0.08125,0.056605,0.165,0.233868,0.299274,0.238062,0.272595,0.320795,0.560931,0.527645,0.32092,0.595969,0.528113,0.696973,0.291717,0.088347,0.088329,0.129975,0.268281,0.530097,0.413021,0.491144,0.650326,0.399251,0.279334,0.27139,0.169031,0.321394,0.342352,0.470639,0.190105,0.363783,0.265705,0.905741,0.623001,0.559198,0.489251,0.31568,0.33813,0.635992,0.742526,0.518131,0.472842,0.87655,0.565396,0.475685,0.258571,0.013338,0.333333,0.012667,0.315789,0.105772,0.02571,0.100682,0,0,0,1,1,0 +0.186431,0.076471,0.149602,0.537054,0.472449,0.457036,0.637159,0.693453,0.499854,0.532514,0.518666,0.283137,0.239041,0.712137,0.386048,0.614048,0.201361,0.179655,0.101889,0.229637,0.384042,0.323517,0.397521,0.321735,0.301133,0.459273,0.410833,0.280193,0.432589,0.387952,0.620807,0.2731,0.152298,0.172433,0.06035,0.230459,0.314171,0.318649,0.400603,0.472579,0.341438,0.258749,0.225245,0.116423,0.400484,0.231323,0.383751,0.14439,0.73313,0.417439,0.883396,0.451738,0.491711,0.489126,0.446291,0.472878,0.351384,0.838492,0.585211,0.252648,0.435195,0.320553,0.387501,0.162779,0.111367,0.380952,0.230158,0.360902,0.206216,0.002048,0.33003,0,0,0,1,1,0 +0.126618,0.004515,0.053396,0.462739,0.632344,0.70408,0.690289,0.567802,0.779319,0.439432,0.583475,0.394575,0.496367,0.6286,0.335292,0.217777,0.020083,0.011194,0.099051,0.126128,0.221988,0.194363,0.124121,0.189853,0.231923,0.361207,0.326443,0.244446,0.264906,0.322311,0.411289,0.376478,0.019754,0.051653,0.174768,0.137392,0.297468,0.224318,0.214932,0.398919,0.633856,0.477789,0.299033,0.269483,0.27667,0.391465,0.482991,0.285369,0.358752,0.248404,0.891367,0.592292,0.486028,0.346705,0.198285,0.298221,0.368228,0.490075,0.427333,0.371831,0.374999,0.294855,0.274482,0.383896,0.039967,0.793651,0,0.75188,0.136249,0.260829,0.22023,0,0,1,1,1,0 +0.143966,0.027569,0.130648,0.532245,0.792325,0.570913,0.425364,0.626922,0.786528,0.175927,0.55031,0,0.883193,0.397017,0.397827,0.549576,0.059697,0.060919,0.140616,0.152064,0.296111,0.356755,0.431805,0.43058,0.323961,0.496446,0.505141,0.231658,0.405223,0.239965,0.308295,0.20882,0.058561,0.076586,0.226077,0.279679,0.689695,0.376887,0.446898,0.692036,0.443328,0.384848,0.441275,0.35249,0.315109,0.278619,0.195173,0.17495,0.367584,0.317953,0.907396,0.558198,0.489582,0.707676,0.799575,0.825584,0.66548,0.711903,0.558196,0.243977,0.450361,0.198495,0.170454,0.181098,0.016532,0.015873,0.006114,0.413534,0.109721,0.102111,0.162024,0,0,0,1,1,0 +0.486013,0.275984,0.07531,0.853801,0.254022,0.150899,0.398244,0.4128,0.114079,0.50016,0.565881,0.469557,0.63253,0.797766,0.332658,0.30497,0.156359,0.090668,0.038672,0.081826,0.093466,0.121823,0.131651,0.204385,0.171998,0.312744,0.276163,0.139756,0.399575,0.328643,0.419864,0.24552,0.035981,0,0.047024,0.111039,0.188798,0.150102,0.163471,0.198363,0.216889,0.19772,0.069036,0.062271,0.100057,0.094908,0.163528,0.108125,0.270102,0.242948,0.942417,0.657575,0.551748,0.280366,0.141192,0.17449,0.221131,0.259541,0.180635,0.085943,0.235681,0.143314,0.120546,0.168795,0.142453,0.047619,0.134415,0.458647,0.338382,0.005191,0.350612,1,0,0,0,1,0 +0.164094,0.084962,0.208714,0.85308,0.394965,0.416048,0.621498,0.38587,0.413587,0.40921,0.562402,0.319538,0.572214,0.464703,0.407245,0.20888,0.090017,0.137008,0.095123,0.091236,0.080994,0.038797,0.127785,0.071667,0.071821,0.118718,0.181702,0.108899,0.207555,0.128133,0.241817,0.129124,0.050438,0.071835,0.011389,0.047087,0.028327,0,0.047638,0.002405,0.093938,0.003673,0.011523,0,0.001479,0.001045,0.019496,0,0.291309,0.198908,0.891933,0.33724,0.074552,0.008597,0.057388,0,0.039463,0,0,0.026854,0,0.026914,0.006888,0,0.3777,0.190476,0.094115,0.180451,1,0.172032,0.610063,1,0,0,0,0,1 +0.210927,0.102495,0.119883,0.808699,0.50693,0.344011,0.525872,0.482273,0.178169,0.674618,0.415872,0.301502,0.677768,0.423362,0.344626,0.414799,0.100006,0.103882,0.084737,0.090234,0.15832,0.170945,0.204683,0.16821,0.136317,0.309735,0.336244,0.218343,0.235491,0.231089,0.278866,0.164243,0.013662,0.050151,0.12252,0.081814,0.074338,0.099608,0.192581,0.173659,0.195453,0.173782,0.181722,0.106872,0.133994,0.141539,0.118207,0.070255,0.316006,0.212096,0.892412,0.387527,0.190163,0.146191,0.162899,0.234652,0.230648,0.270834,0.265295,0.174984,0.144293,0.114517,0.079982,0.077415,0.344175,0.412698,0.020392,0.390977,0.458935,0.10182,0.296115,1,1,0,0,0,0 +0.429478,0.344494,0.060162,0.813615,0.236453,0.446329,0.480793,0.426252,0.437244,0.502689,0.505666,0.478235,0.54981,0.597491,0.345804,0.503892,0.17555,0.185645,0.032918,0.001204,0.028529,0.068654,0.109629,0.142475,0.10887,0.218465,0.208753,0.150511,0.248336,0.170279,0.232927,0.174243,0.019314,0.071377,0.088998,0.061259,0.044894,0.061902,0.200386,0.201205,0.142806,0.120228,0.079683,0.090577,0.110615,0.067093,0.095335,0.052257,0.281008,0.239252,0.949691,0.407409,0.180929,0.104522,0.161558,0.17391,0.17133,0.259573,0.182,0.119577,0.117754,0.073603,0.077447,0.0958,0.035314,0.079365,0.134336,0.075188,0.103173,0.144272,0.126084,1,0,0,0,1,0 +0.356205,0.163714,0.164264,0.394889,0.603164,0.213422,0.672555,0.140885,0.713819,0.490967,0.222851,0.412702,0,0.161777,0.275282,0.256475,0.135898,0.14433,0.067893,0.166035,0.184742,0.290307,0.371469,0.450669,0.515429,0.572493,0.529326,0.349695,0.760224,0.707354,0.769043,0.590918,0.147422,0.192292,0.112716,0.528814,0.339888,0.452057,0.548192,0.79845,0.974045,0.544279,0.407448,0.35763,0.844949,0.724062,0.571626,0.359297,0.324838,0.331851,0.910663,0.572059,0.49842,0.518858,0.539949,0.50156,0.944151,0.701034,0.446221,0.316995,0.904044,0.734316,0.492932,0.802602,0.024763,0.047619,0.022403,0.045113,0.167443,0.117529,0.145429,0,0,1,1,0,0 +0.280696,0.271472,0.360236,0.5529,0.258248,0.444216,0.665244,0.458951,0.618007,0.58361,0.61092,0.453218,0.758104,0.74698,0.529473,0.67833,0.440671,0.580241,0.369214,0.444831,0.551845,0.562137,0.63788,0.454401,0.474109,0.62856,0.614183,0.380434,0.44001,0.461497,0.495311,0.283718,0.153168,0.268752,0.151403,0.201276,0.297058,0.267198,0.421854,0.475235,0.313243,0.214259,0.287093,0.167469,0.167012,0.189194,0.244108,0.086044,0.424965,0.391297,0.813137,0.48842,0.30834,0.40063,0.348189,0.307161,0.329809,0.498587,0.339334,0.293901,0.276273,0.28955,0.26221,0.141665,0.043333,0.52381,0,0.496241,0.156085,0.01192,0.091733,0,1,1,0,0,0 +0.272138,0.312294,0.205765,0.696667,0.347588,0.57429,0.432428,0.527955,0.472771,0.447449,0.553536,0.384299,0.564468,0.596013,0.283952,0.278672,0.244146,0.559408,0.154181,0.31758,0.184712,0.292335,0.46524,0.413772,0.41607,0.722253,0.539707,0.37055,0.53717,0.524302,0.546885,0.326081,0.187736,0.394417,0.14113,0.229097,0.232021,0.213917,0.381451,0.350204,0.344173,0.322633,0.140103,0.17259,0.274314,0.215378,0.219514,0.147112,0.41628,0.53696,0.863838,0.425433,0.173979,0.309523,0.423538,0.413941,0.385399,0.5655,0.309061,0.285413,0.454553,0.298247,0.217878,0.311225,0.016514,0.412698,0.027725,0.390977,0.088096,0.097296,0.117945,0,1,1,0,0,0 +0.184471,0.074843,0.088379,0.722527,0.54661,0.498164,0.480226,0.514112,0.360277,0.379202,0.5805,0.409759,0.844972,0.357184,0.245016,0.35523,0.100513,0.119828,0.06116,0.1208,0.210458,0.312097,0.263162,0.302541,0.298921,0.365961,0.381914,0.159767,0.283223,0.206863,0.320353,0.241918,0.057878,0.104328,0.110955,0.266962,0.192301,0.300302,0.367422,0.289525,0.374016,0.181602,0.337357,0.163038,0.186993,0.183273,0.189767,0.109627,0.364261,0.329757,0.923687,0.412545,0.393815,0.38286,0.252797,0.351428,0.348274,0.356014,0.32707,0.217239,0.229666,0.101155,0.107693,0.165531,0.022642,0.285714,0.002477,0.270677,0.108183,0.148726,0.132054,0,0,1,1,1,0 +0.204129,0.075837,0.08246,0.626257,0.602485,0.337018,0.483266,0.39556,0.428265,0.254824,0.50434,0.245794,0.57573,0.47721,0.307439,0.335514,0.065859,0.043265,0.043942,0.167277,0.171374,0.055528,0.058638,0.119172,0.121371,0.232168,0.259817,0.157372,0.255222,0.232834,0.265589,0.177279,0.04226,0.055642,0.180756,0.173049,0.11131,0.145361,0.231455,0.164092,0.214359,0.120022,0.200593,0.080043,0.142524,0.141606,0.136232,0.076442,0.33233,0.224633,0.912013,0.506159,0.394948,0.13175,0.109875,0.137971,0.114179,0.21926,0.145472,0.112848,0.117819,0.113918,0.057185,0.050556,0.063962,0.190476,0,0.661654,0.188766,0.124051,0.20967,1,0,0,0,0,1 +0.314846,0.149608,0.147377,0.564732,0.445455,0.623615,0.606501,0.467939,0.582697,0.431863,0.469375,0.582543,0.378837,0.578241,0.319486,0.391816,0.297441,0.273798,0.063415,0.202755,0.256404,0.62055,0.612786,0.487447,0.553596,0.556056,0.492277,0.366064,0.476046,0.465086,0.669133,0.421313,0.117646,0.163491,0.075966,0.13076,0.216925,0.390919,0.4495,0.435452,0.291386,0.259559,0.222139,0.175133,0.196681,0.258382,0.305112,0.215765,0.621252,0.354285,0.910881,0.492418,0.363915,0.717721,0.600948,0.430772,0.676918,0.506546,0.464852,0.29434,0.338288,0.238419,0.359464,0.423241,0.056724,0.238095,0.214773,0.225564,0.205262,0.340531,0.289606,0,0,1,0,0,0 +0.733801,0.40313,0.284441,0.725166,0.188509,0.411095,0.538053,0.422527,0.347807,0.549042,0.465808,0.361073,0.521182,0.444525,0.362002,0.464488,0.680582,0.462412,0.180641,0.397983,0.579758,0.616879,0.718129,0.662946,0.665805,0.675224,0.579978,0.347011,0.526385,0.402487,0.462128,0.273125,0.32377,0.225653,0.085594,0.07809,0.207811,0.158334,0.212465,0.239043,0.243473,0.147009,0.066624,0.091683,0.091088,0.116094,0.087045,0.060325,0.506766,0.153887,0.843976,0.336336,0.396162,0.400069,0.300855,0.426738,0.389898,0.369442,0.265049,0.161108,0.137814,0.159725,0.13565,0.102774,0.244209,0.238095,0,0.225564,0.310742,0.136029,0.224995,0,0,0,0,0,1 +0.394339,0.178054,0.119081,0.242173,0.670986,0.073576,0.569935,0.613042,0.1586,0.605232,0.213042,0.291311,0.547005,0.342185,0.368613,0.497609,0.117587,0.073712,0.044866,0.112926,0.153276,0.275537,0.299765,0.314267,0.447515,0.652715,0.589136,0.371917,0.593076,0.477141,0.613094,0.396138,0.151755,0.182314,0.176471,0.363281,0.48952,0.441802,0.825367,0.565058,0.814544,0.619279,0.515238,0.267472,0.319695,0.32307,0.266287,0.190254,0.260755,0.182141,0.925255,0.61201,0.421359,0.446605,0.515131,0.215167,0.629218,0.671847,0.545791,0.29111,0.416631,0.264709,0.214649,0.205977,0.075428,0.507937,0.027813,0.481203,0.242417,0.113726,0.33414,0,0,1,1,0,0 +0.274217,0.126356,0.086199,0.17778,0.597121,0.325447,0.537095,0.492721,0.508289,0.437297,0.614573,0.606648,0.696318,0.422988,0.350617,0.284701,0.09193,0.065395,0.025051,0.064992,0.101171,0.08788,0.09845,0.208778,0.236976,0.387917,0.501353,0.313546,0.517686,0.550332,0.511472,0.312473,0.127593,0.09448,0.074909,0.182805,0.377516,0.151104,0.335002,0.505881,0.389486,0.487256,0.322566,0.342982,0.495572,0.538178,0.471985,0.208802,0.303428,0.200016,0.933182,0.732055,0.288174,0.170379,0.157621,0.179186,0.206799,0.369525,0.441453,0.252893,0.433047,0.3902,0.228677,0.203245,0.007498,0.603175,0,0.571429,0.040566,0.04833,0.038518,0,0,1,1,1,0 +0.092899,0.118664,0.061562,0.228381,0.483127,0.696058,0.461598,0.597658,0.482805,0.450396,0.599502,0.497159,0.495448,0.520716,0.498371,0.551066,0.072875,0.288227,0.066265,0.263507,0.30295,0.21998,0.129093,0.128701,0,0.120147,0.099317,0.072751,0.167428,0.21288,0.229009,0.07966,0.067245,0.641454,0.11342,0.431596,0.564282,0.295804,0.330208,0.40718,0.151491,0.191414,0.104018,0.116984,0.252243,0.260689,0.249279,0.119747,0.375461,0.859143,0.906133,0.838791,0.675469,0.286187,0.312282,0.314722,0.174182,0.303588,0.16073,0.186985,0.286315,0.2932,0.176207,0.104836,0.037652,0.825397,0,0.781955,0.058365,0.133566,0.143939,0,0,0,1,0,0 +0.279109,0.137331,0.033684,0.146813,0.616297,0.387484,0.539389,0.636477,0.396027,0.69135,0.65364,0.149958,0.249747,0.393547,0.338912,0.397314,0.094265,0.091934,0.029881,0.156782,0.139449,0.239889,0.166254,0.245732,0.289052,0.50787,0.491896,0.430082,0.540374,0.402731,0.484685,0.259583,0.04823,0.068397,0.102031,0.190042,0.258412,0.220809,0.232362,0.485914,0.377372,0.447765,0.400358,0.343975,0.455709,0.309785,0.264871,0.165323,0.316667,0.196755,0.938104,0.713462,0.381971,0.350775,0.195946,0.281377,0.557566,0.626714,0.356753,0.511544,0.479454,0.229069,0.156746,0.134132,0.040176,0.698413,0,0.661654,0.009773,0.188844,0.09807,0,0,1,1,0,0 +0.156713,0.04197,0.078766,0.60191,0.612258,0.662082,0.408248,0.551602,0.372185,0.646444,0.509615,0.421938,0.551563,0.32664,0.242938,0.534435,0.100148,0.072299,0.067794,0.195766,0.25977,0.261149,0.24864,0.326202,0.256614,0.45439,0.476583,0.210001,0.451691,0.303532,0.319465,0.19877,0.128342,0.131456,0.116121,0.181618,0.227759,0.356918,0.318255,0.353008,0.229131,0.32953,0.238412,0.136752,0.240634,0.169949,0.146999,0.105762,0.52074,0.305434,0.907788,0.541654,0.543939,0.527055,0.379553,0.300248,0.459161,0.646035,0.301293,0.23299,0.360926,0.211669,0.139408,0.120392,0.017494,0.761905,0.012471,0.721805,0.07633,0.169504,0.138946,0,0,1,1,1,0 +0.151238,0.071004,0.046799,0.399817,0.676829,0.378563,0.49338,0.460551,0.380062,0.440453,0.529364,0.341435,0.457487,0.436141,0.351271,0.44081,0.036921,0.089552,0.040905,0.042685,0.036095,0,0,0.078689,0.073191,0.129152,0.147204,0.077018,0.175468,0.131429,0.182685,0.151342,0.125039,0.143568,0.098979,1,0.546686,0.126499,0.223932,0.423691,0.202415,0.217418,0.227262,0.102199,0.135924,0.152963,0.137567,0.128616,0.329557,0.448456,0.926082,0.500894,0.348984,0.077131,0.042777,0.108487,0.14211,0.189755,0.106824,0.06702,0.0813,0.047836,0.056187,0.054895,0.013077,0.698413,0.003445,0.661654,0.050718,0.166921,0.133281,1,0,0,0,0,1 +0.142562,0.036823,0.083781,0.703516,0.51113,0.531928,0.489943,0.513835,0.510733,0.657757,0.586433,0.552498,0.576419,0.49924,0.255135,0.227995,0.075024,0.065404,0.044063,0.110988,0.243332,0.19492,0.342526,0.33236,0.170675,0.381751,0.355478,0.213925,0.240771,0.317638,0.246863,0.199299,0.085652,0.135296,0.117941,0.157673,0.264727,0.25979,0.48395,0.454831,0.234586,0.25235,0.216945,0.1541,0.270821,0.168455,0.180733,0.124994,0.349516,0.259146,0.919462,0.4239,0.277821,0.371729,0.55217,0.469587,0.273438,0.6091,0.341358,0.28115,0.187823,0.313079,0.096191,0.143335,0.063242,0.857143,0,0.81203,0.078114,0.211311,0.165077,0,0,1,1,0,0 +0.146195,0.035167,0.034486,0.512909,0.704732,0.467791,0.422592,0.531635,0.288472,0.273891,0.528,0.161315,0.68034,0.344717,0.460027,0.38724,0.046334,0.021901,0.03305,0.170524,0.116012,0.190952,0.094125,0.129771,0.09457,0.231541,0.213657,0.118802,0.252066,0.280085,0.240668,0.16856,0.02666,0.042226,0.164553,0.208234,0.451791,0.317916,0.315733,0.194986,0.251862,0.122343,0.207604,0.116827,0.141347,0.145431,0.130785,0.110957,0.337085,0.232277,0.921291,0.493826,0.436321,0.292394,0.244541,0.177734,0.158163,0.337848,0.25611,0.165984,0.202134,0.223102,0.121685,0.117091,0.016254,0.666667,0.036615,0.631579,0.066237,0.120791,0.171833,0,0,1,1,0,0 +0.17608,0.100998,0.113286,0.683392,0.401103,0.491812,0.399344,0.438613,0.522443,0.385139,0.581708,0.268301,0.521156,0.360155,0.418758,0.583458,0.139936,0.229661,0.056429,0.238686,0.178386,0.299443,0.500096,0.31862,0.39096,0.476334,0.65077,0.269461,0.46955,0.408565,0.429699,0.237453,0.11191,0.183973,0.093988,0.208892,0.232212,0.287761,0.358505,0.395702,0.518703,0.484912,0.414278,0.195372,0.361529,0.242975,0.187889,0.11462,0.324618,0.47211,0.906525,0.424022,0.22814,0.336586,0.469447,0.292118,0.635906,0.565293,0.547409,0.211196,0.418073,0.308886,0.226755,0.16974,0.05552,0.555556,0.127372,0.526316,0.116938,0.148818,0.349993,0,0,1,0,0,0 +0.466144,0.207556,0.116923,0.49796,0.511176,0.171581,0.630504,0.411004,0.228253,0.583913,0.320513,0.342736,0.828911,0.444553,0.317946,0.285302,0.132263,0.069744,0.043975,0.125917,0.117985,0.205679,0.237997,0.197225,0.269176,0.5696,0.526165,0.391011,0.55864,0.395447,0.515258,0.335784,0.205122,0.165686,0.109604,0.466446,0.322293,0.466591,0.578631,0.617609,0.457445,0.627501,0.466053,0.305608,0.402489,0.40444,0.400913,0.235938,0.313142,0.212829,0.911011,0.514691,0.300382,0.409869,0.410445,0.205692,0.351337,0.589853,0.473578,0.423528,0.612781,0.302235,0.187553,0.262764,0.027134,0.666667,0.069696,0.631579,0.198363,0.131579,0.27041,0,1,1,0,0,0 +0.166345,0.043046,0.094874,0.295103,0.629829,0.664883,0.572476,0.493564,0.481728,0.581726,0.64477,0.445744,0.866483,0.726223,0.387608,0.336135,0.126337,0.126512,0.077333,0.265985,0.331116,0.383891,0.510095,0.499927,0.271884,0.448194,0.377845,0.318439,0.45072,0.344608,0.474418,0.456975,0.137344,0.136849,0.134085,0.442142,0.297778,0.413518,0.623665,0.570036,0.408502,0.336532,0.212714,0.239177,0.280379,0.27771,0.28596,0.315206,0.428472,0.380614,0.907309,0.575934,0.622259,0.688506,0.722921,0.765815,0.539174,0.52659,0.461627,0.342278,0.465009,0.338004,0.316121,0.623459,0.004825,0.428571,0,0.406015,0.016587,0.037858,0.017827,0,0,0,1,1,0 +0.105096,0.009582,0.059405,0.373124,0.521646,0.813835,0.66257,0.787045,0.558041,0.589794,0.616081,0.350749,0.748774,0.391597,0.272435,0.392603,0.065258,0.050799,0.031609,0.129128,0.18821,0.246728,0.239262,0.166308,0.32812,0.354906,0.217267,0.189713,0.338222,0.27733,0.330887,0.233908,0.063427,0.073716,0.161911,0.27223,0.198974,0.255487,0.298349,0.356534,0.478085,0.2015,0.154793,0.145528,0.218108,0.160108,0.221107,0.107698,0.436845,0.307481,0.924079,0.665021,0.543225,0.646564,0.484024,0.319293,0.955114,0.498389,0.277883,0.28541,0.313847,0.190662,0.161999,0.188057,0.006953,0.650794,0,0.616541,0.029386,0.013829,0.011672,0,0,0,1,1,0 +0.322092,0.251811,0.118064,0.717664,0.240106,0.556975,0.514771,0.704621,0.373668,0.708545,0.694213,0.385199,0.65494,0.455044,0.374899,0.480461,0.275741,0.38097,0.087025,0.122941,0.139901,0.294754,0.290284,0.275538,0.179554,0.31058,0.305203,0.157779,0.252461,0.263881,0.289508,0.157784,0.099464,0.169836,0.129917,0.24082,0.175126,0.300697,0.299125,0.389325,0.202399,0.253829,0.171673,0.152706,0.130997,0.178163,0.130652,0.062825,0.352436,0.281451,0.920551,0.526383,0.376177,0.463862,0.515082,0.446509,0.312189,0.495488,0.368536,0.205335,0.313183,0.170317,0.089321,0.120731,0.076321,0.047619,0,0.045113,0.274486,0.235293,0.285429,1,1,0,0,0,0 +0.333517,0.151931,0.109389,0.506331,0.536585,0.121649,0.414589,0.485716,0.503717,0.22707,0.330397,0.296229,0.516717,0.356579,0.395084,0.276905,0.105269,0.049452,0.033435,0.127933,0.08553,0.10801,0.128961,0.207345,0.216106,0.400099,0.373327,0.234562,0.453351,0.471402,0.492598,0.265504,0.063455,0.057656,0.069743,0.264118,0.174611,0.163506,0.193074,0.242472,0.195563,0.246179,0.21262,0.164558,0.35786,0.324904,0.303031,0.210371,0.290024,0.211052,0.927302,0.489946,0.276552,0.175998,0.155962,0.143431,0.167952,0.260383,0.232592,0.128536,0.365647,0.275415,0.152321,0.162567,0.131786,0.142857,0.060743,0.135338,0.263769,0.264699,0.271213,0,1,1,0,0,0 +0.446448,0.248162,0.247436,0.698855,0.363104,0.35935,0.571174,0.527351,0.402216,0.539359,0.572983,0.305839,0.650384,0.553565,0.335238,0.318683,0.350803,0.261719,0.211853,0.345014,0.337493,0.371855,0.403734,0.390594,0.324417,0.536072,0.447557,0.290155,0.343057,0.363892,0.408647,0.318293,0.372823,0.362673,0.431725,0.521373,0.552296,0.426167,0.488073,0.795527,0.382289,0.226245,0.338083,0.168512,0.233972,0.169461,0.279557,0.270906,0.694846,0.383325,1,0.497576,0.608805,0.72643,0.662644,0.489966,0.661554,0.778425,0.540725,0.396951,0.428912,0.387833,0.319142,0.304764,0.037766,0.52381,0.046374,0.496241,0.155373,0.062287,0.218369,1,0,0,0,0,0 +0.696816,0.565358,0.461346,0.765631,0.076154,0.480289,0.228627,0.237527,0.375989,0.2713,0.935801,1,0.825112,0.069309,0.142582,0.187908,0.690793,0.598689,0.415401,0.435367,0.398844,0.46403,0.314195,0.368797,0.260055,0.512782,0.891866,1,0.185074,0.592686,0.708504,0.222963,0.080187,0.167281,0.247564,0.120944,0.058184,0.113817,0.064375,0.053814,0.040731,0.097613,0.07287,0.1374,0.026503,0.078993,0.047653,0.01695,0,0.112504,0.733818,0.26621,0.096658,0.139477,0.072268,0.091084,0.060927,0.258975,0.164681,0.127757,0.073813,0.148796,0.086137,0.035861,0.488234,0.190476,0.67563,0.180451,0.595444,0.684154,0.667569,1,0,0,0,0,1 +0.561516,0.332402,0.320215,0.697933,0.213145,0.149465,0.532874,0.504253,0.481641,0.297163,0.607454,0.550463,0.706742,0.698219,0.488323,0.686373,0.4551,0.361778,0.215319,0.326953,0.311976,0.490251,0.583671,0.630345,0.770552,0.909588,0.6022,0.645022,0.540459,0.609509,0.499461,0.328744,0.11774,0.13171,0.178173,0.119807,0.193083,0.158307,0.384085,0.490632,0.40009,0.216295,0.124753,0.114806,0.154814,0.163435,0.160127,0.111615,0.214282,0.206,0.84611,0.397828,0.205959,0.375869,0.339697,0.559578,0.504163,0.371058,0.430252,0.415475,0.282943,0.256485,0.172378,0.109853,0.250366,0.349206,0.180314,0.330827,0.442769,0.09911,0.38549,0,0,1,0,0,0 +0.417329,0.25745,0.159995,0.766539,0.273211,0.206427,0.50321,0.665807,0.32451,0.614258,0.670169,0.298653,0.703171,0.506373,0.442462,0.625099,0.165865,0.110668,0.036912,0.042663,0.08495,0.19066,0.286138,0.288101,0.272998,0.431764,0.374144,0.203585,0.372421,0.345438,0.428866,0.223911,0.118572,0.108954,0.110015,0.089319,0.162516,0.164337,0.166177,0.30784,0.231536,0.189525,0.173568,0.081552,0.110312,0.096608,0.145719,0.072065,0.20903,0.151241,0.930917,0.430636,0.134224,0.186063,0.315492,0.340519,0.2855,0.293193,0.24373,0.115999,0.15023,0.168542,0.110329,0.094467,0.016279,0.190476,0.085629,0.180451,0.107393,0.2195,0.192819,0,0,0,0,0,1 +0.327146,0.145272,0.138499,0.463302,0.580168,0.203875,0.507064,0.457612,0.385984,0.410195,0.614336,0.346549,0.566051,0.341917,0.343986,0.330281,0.105077,0.067548,0.044569,0.182586,0.159171,0.143347,0.100812,0.182584,0.243272,0.371745,0.363413,0.338209,0.567477,0.457314,0.457748,0.280496,0.117478,0.082127,0.02994,0.535643,0.314101,0.165561,0.153756,0.211703,0.285022,0.293183,0.17689,0.196079,0.309647,0.268235,0.20043,0.148006,0.276767,0.187544,0.924732,0.580009,0.231354,0.181565,0.107278,0.155686,0.178134,0.258869,0.191405,0.225167,0.461649,0.200535,0.157056,0.133576,0.096353,0.301587,0,0.285714,0.342711,0.161277,0.347379,0,1,1,0,0,0 +0.149797,0.030147,0.076733,0.366344,0.649027,0.819281,0.639393,0.680508,0.475543,0.378523,0.35549,0.389301,0.353115,0.399002,0.446302,0.387605,0.103009,0.075519,0.049971,0.165465,0.197232,0.325544,0.389038,0.232367,0.313537,0.39051,0.26473,0.270233,0.297262,0.242311,0.306812,0.268146,0.121146,0.137015,0.112422,0.30423,0.471739,0.404311,0.862828,0.541871,0.493187,0.392889,0.227418,0.329062,0.280122,0.21166,0.308454,0.199144,0.68774,0.431842,0.915977,0.60511,0.772408,0.889718,0.780909,0.468887,0.70846,0.6505,0.451123,0.531022,0.354854,0.318103,0.173836,0.356578,0.016148,0.349206,0.001931,0.330827,0.099943,0.047762,0.071014,0,0,1,1,1,0 +0.305176,0.141756,0.108226,0.465763,0.579471,0.211346,0.397295,0.496279,0.392,0.356744,0.479135,0.296823,0.515643,0.427985,0.335072,0.307176,0.092432,0.056917,0.050862,0.161286,0.118973,0.128781,0.091007,0.171593,0.170176,0.339201,0.398152,0.26326,0.47925,0.39026,0.367378,0.292327,0.021495,0.016822,0.148879,0.247836,0.208515,0.216414,0.088118,0.211957,0.152823,0.206676,0.192148,0.173256,0.224347,0.246105,0.237136,0.163687,0.329483,0.217845,0.906351,0.722778,0.459463,0.412813,0.085194,0.105209,0.081096,0.266041,0.297707,0.205589,0.345104,0.195961,0.134762,0.158666,0.08235,0.460317,0.155592,0.43609,0.313414,0.021011,0.403894,0,1,1,0,0,0 +0.188472,0.065983,0.16649,0.336888,0.982004,0.201726,0.279542,0.461727,0.467402,0.552694,0.504295,0.370832,0.598819,0.315978,0.248791,0.110329,0.034958,0.018516,0.187594,0.079576,0.122861,0.187403,0.121785,0.174183,0.162449,0.18918,0.190559,0.104502,0.204,0.200214,0.33871,0.260507,0.060994,0.066751,0.248209,0.273504,0.389907,0.39297,0.365058,0.414218,0.327813,0.2242,0.16946,0.162672,0.216499,0.210771,0.247407,0.238182,0.318007,0.214302,0.862793,0.614337,0.4811,0.218402,0.158266,0.284122,0.448931,0.338396,0.239615,0.157809,0.314871,0.224325,0.177533,0.303919,0.004704,0.31746,0.036477,0.300752,0.056146,0.057021,0.097299,0,0,1,1,0,0 +0.297212,0.120743,0.169867,0.342983,0.506634,0.654924,0.634682,0.772658,0.651265,0.46803,0.616138,0.359553,0.593328,0.726777,0.326031,0.518468,0.346957,0.238804,0.095475,0.395303,0.545593,0.388621,0.486902,0.433009,0.270821,0.595252,0.479479,0.249999,0.473949,0.332076,0.467518,0.200477,0.267127,0.282797,0.365739,0.275388,0.70931,0.261637,0.366451,0.396716,0.318661,0.209798,0.25563,0.095769,0.264638,0.134679,0.382136,0.157844,0.897339,0.5023,0.904173,0.629737,0.907186,0.654766,0.969503,0.837529,0.620206,0.823024,0.552553,0.267369,0.616456,0.463283,0.295508,0.261934,0.019818,0.15873,0,0.150376,0.159058,0.063671,0.118684,0,0,0,1,0,0 +0.540211,0.35862,0.090344,0.711746,0.260835,0.519423,0.477814,0.467372,0.322755,0.43379,0.630586,0.525501,0.706588,0.379234,0.387168,0.653531,0.316136,0.288473,0.05611,0.097295,0.162915,0.307044,0.417206,0.219608,0.361322,0.413271,0.323129,0.216261,0.319821,0.322503,0.407221,0.250893,0.105612,0.162165,0.134496,0.034206,0.14641,0.167077,0.317671,0.207446,0.25079,0.204611,0.10701,0.069454,0.099628,0.096835,0.102542,0.100052,0.394282,0.224023,0.918895,0.516707,0.44749,0.339672,0.378016,0.319812,0.354814,0.311377,0.152026,0.125055,0.136955,0.151046,0.08385,0.147215,0.067618,0.365079,0.297987,0.345865,0.178915,0.066282,0.315169,1,1,0,0,0,0 +0.376112,0.720599,0.334143,0.528168,0.262503,0.313902,0.482412,0.542867,0.384915,0.450725,0.418089,0.643942,0.784282,0.571565,0.480291,0.500183,0.457057,0.711377,0.281265,0.445025,0.43738,0.694456,0.645845,0.573223,0.591168,0.847037,0.767292,0.412392,0.476741,0.493239,0.553418,0.414345,0.257966,0.754516,0.193495,0.326941,0.333255,0.717876,0.345665,0.529496,0.444635,0.248382,0.278733,0.192426,0.164813,0.145188,0.232332,0.199937,0.574338,0.538385,0.844629,0.40419,0.438829,0.873419,0.450596,0.637534,0.56748,0.69823,0.444804,0.340973,0.348843,0.343984,0.248245,0.428089,0.03649,0.333333,0,0.315789,0.129367,0.045456,0.080549,0,0,1,0,0,0 +0.92833,0.789835,0.22786,0.599544,0.111164,0.406341,0.312295,0.614965,0.497675,0.685066,0.616608,0.5124,0.775056,0.565115,0.384398,0.47462,1,0.674277,0.174271,0.226956,0.430817,0.503418,0.478661,0.285798,0.209053,0.423019,0.213167,0.182717,0.26993,0.206959,0.225772,0.149566,0.106941,0.300723,0.158624,0.152883,0.179351,0.54122,0.484792,0.547161,0.399342,0.249635,0.106072,0.107328,0.098808,0.071141,0.085559,0.041895,0.109767,0.13519,0.857305,0.506423,0.228166,0.313295,0.340505,0.175271,0.174756,0.194782,0.097967,0.152876,0.224354,0.084766,0.047169,0.068868,0.886449,0.190476,0.965806,0.180451,0.799096,0.966814,0.925971,0,0,0,0,0,1 +0.517647,0.339055,0.071333,0.942505,0.286112,0.388496,0.345221,0.546184,0.320699,0.55288,0.537451,0.442125,0.543689,0.416155,0.294351,0.286362,0.219277,0.22014,0.043546,0.077564,0.076013,0.1438,0.145992,0.124348,0.197387,0.278981,0.366597,0.219294,0.226373,0.245226,0.289324,0.175857,0.123186,0.195309,0.133263,0.03007,0.112991,0.157547,0.201782,0.181782,0.262257,0.158281,0.147387,0.117172,0.121702,0.128311,0.128817,0.077236,0.305944,0.209473,0.929567,0.38395,0.19809,0.191105,0.156902,0.137544,0.205543,0.221354,0.274722,0.177871,0.11207,0.087909,0.062455,0.101605,0.04562,0.730159,0.018017,0.691729,0.170938,0.166889,0.212055,1,0,0,0,0,1 +0.317001,0.214373,0.140295,0.807363,0.284385,0.577951,0.478405,0.527612,0.374805,0.500503,0.597184,0.333218,0.608362,0.467117,0.2989,0.503694,0.240078,0.306895,0.087807,0.169814,0.273771,0.381116,0.4172,0.368226,0.314361,0.63514,0.501201,0.211444,0.42653,0.387988,0.337956,0.210746,0.085418,0.186672,0.044382,0.219088,0.150713,0.303306,0.216065,0.244647,0.230965,0.245267,0.317444,0.118628,0.12343,0.118699,0.173337,0.075367,0.256973,0.182546,0.916151,0.300447,0.254893,0.461884,0.496514,0.354096,0.360436,0.431268,0.331133,0.100239,0.287301,0.14925,0.105334,0.171535,0.02886,0.174603,0.077341,0.165414,0.155279,0.110412,0.130212,0,1,0,0,0,0 +0.502141,0.315551,0,0.596932,0.363088,0.600318,0.322299,0.624004,0.37495,0.608518,0.550964,0.184231,0.766499,0.517954,0.587147,0.392097,0.235353,0.224564,0.041334,0.141188,0.209066,0.144784,0.125394,0.22447,0.308263,0.425291,0.321526,0.216463,0.427494,0.593068,0.605245,0.513653,0.363428,0.491665,0.236997,0.44828,0.630632,0.257984,0.347245,0.559049,0.401854,0.566028,0.388259,0.268907,0.51052,0.710876,0.59868,0.412613,0.374341,0.294651,0.932181,0.613057,0.65288,0.316738,0.289063,0.322489,0.571881,0.788263,0.551744,0.369779,0.382386,0.770562,0.395281,0.728417,0.050028,0.761905,0,0.721805,0.050064,0.209228,0.137465,0,0,1,1,1,0 +0.284233,0.199201,0.139888,0.823944,0.2787,0.325266,0.522478,0.738194,0.638721,0.55815,0.593047,0.406516,0.665989,0.487909,0.404227,0.262329,0.193788,0.23526,0.134037,0.125361,0.262501,0.266633,0.276855,0.219944,0.293826,0.292351,0.233251,0.119153,0.232622,0.127528,0.227272,0.136243,0.103431,0.17992,0.210227,0.11194,0.191382,0.144871,0.301269,0.330863,0.305559,0.157945,0.153981,0.065108,0.096806,0.074934,0.105671,0.048394,0.263271,0.170889,0.914409,0.38169,0.317069,0.24414,0.213204,0.280317,0.470395,0.289957,0.177989,0.080727,0.0882,0.043231,0.056948,0.074198,0.065392,0.253968,0.134181,0.240602,0.266253,0.214375,0.243031,0,0,0,0,1,0 +0.2489,0.101394,0.051057,0.540173,0.425073,0.686623,0.330119,0.549519,0.29964,0.082914,0.330694,0.283446,0.574826,0.392995,0.398545,0.493185,0.132573,0.183874,0.049333,0.17424,0.213104,0.315556,0.207414,0.263161,0.341416,0.557822,0.49712,0.367517,0.528988,0.433927,0.634083,0.566808,0.079083,0.187827,0.135494,0.216114,0.238462,0.215014,0.408845,0.382766,0.366717,0.278614,0.214286,0.196942,0.20427,0.23021,0.312536,0.188692,0.361984,0.436066,0.924471,0.479756,0.368138,0.328528,0.248268,0.251971,0.601809,0.545787,0.400471,0.375489,0.461669,0.375649,0.221468,0.350979,0.066739,0.253968,0.013867,0.240602,0.226165,0.213229,0.225362,0,1,1,0,0,0 +0.187278,0.073237,0.147795,0.665041,0.570547,0.397694,0.655782,0.550382,0.676606,0.292693,0.573014,0.129363,0.283433,0.524771,0.303275,0.343129,0.105065,0.114997,0.1153,0.221575,0.365406,0.323798,0.308069,0.343595,0.234109,0.478519,0.364732,0.214592,0.41898,0.322901,0.323537,0.179689,0.092895,0.138046,0.046965,0.266577,0.2803,0.145409,0.271432,0.506017,0.286942,0.24858,0.15838,0.171568,0.253094,0.207144,0.13883,0.084054,0.384771,0.291289,0.902735,0.421388,0.316638,0.397551,0.40056,0.498445,0.322897,0.626576,0.268787,0.240433,0.324725,0.242527,0.149767,0.157023,0.06301,0.619048,0,0.586466,0.067203,0.199335,0.154089,0,0,1,1,1,0 +0.327734,0.14846,0.303904,0.126475,0.360788,0.799689,0.511326,0.658937,0.466301,0.84917,0.537577,0.476717,0.804427,0.523563,0.50956,0.731315,0.456419,0.39414,0.154786,0.307994,0.352351,0.458252,0.488574,0.513445,0.619939,0.76665,0.505548,0.324497,0.508066,0.532265,0.522701,0.269623,0.289502,0.297876,0.113949,0.339094,0.222182,0.236913,0.35438,0.430394,0.498604,0.284633,0.201413,0.159379,0.214832,0.217626,0.260538,0.085079,0.794385,0.331904,0.864492,0.590697,0.263046,0.226136,0.331146,0.331264,0.772864,0.678127,0.250559,0.240377,0.237825,0.326117,0.161393,0.158687,0.081941,0.301587,0.359725,0.285714,0.231877,0.330765,0.334728,0,0,1,0,0,0 +0.471003,0.322812,0.102905,0.827903,0.320221,0.405281,0.372436,0.536035,0.120739,0.400164,0.548148,0.235952,0.558484,0.397672,0.297165,0.211169,0.181142,0.207445,0.063899,0.053757,0.147709,0.186678,0.13256,0.199709,0.156581,0.275864,0.232345,0.159372,0.189375,0.193534,0.235917,0.14793,0.067825,0.101523,0.238816,0.008867,0.108684,0.121459,0.107015,0.255267,0.140719,0.152553,0.095342,0.060172,0.052575,0.112685,0.086492,0.068916,0.345568,0.19845,0.930917,0.590753,0.237478,0.241066,0.145373,0.332798,0.236252,0.376481,0.124616,0.140447,0.115295,0.074045,0.111641,0.072883,0.045911,0.507937,0.055924,0.481203,0.155049,0.064556,0.232877,1,0,0,0,0,0 +0.27081,0.124587,0.015317,0.386798,0.490437,0.423374,0.463725,0.537142,0.344487,0.389209,0.421377,0.589613,0.615945,0.069906,0.16829,0.20343,0.084648,0.099133,0.041719,0.205122,0.153929,0.298988,0.098855,0.174028,0.155919,0.185078,0.265551,0.210027,0.260301,0.300464,0.53346,0.344957,0.203288,0.257495,0.139427,0.508028,0.500354,0.508541,0.280248,0.442433,0.492749,0.428028,0.289671,0.306051,0.465505,0.534489,0.687212,0.431765,0.312168,0.419076,0.937103,0.653898,0.436956,0.826909,0.169818,0.379502,0.405512,0.459498,0.407334,0.423258,0.538493,0.485135,0.573281,0.622071,0.029179,0.492063,0.001516,0.466165,0.194998,0.145314,0.19043,0,0,1,1,0,0 +0.236476,0.103632,0.130863,0.539398,0.47854,0.456133,0.5474,0.562876,0.645285,0.357548,0.617366,0.46141,0.672202,0.606964,0.355221,0.606791,0.192964,0.164867,0.073185,0.208293,0.255784,0.338606,0.447116,0.381046,0.409513,0.411159,0.435049,0.296587,0.362629,0.366885,0.431574,0.268268,0.160542,0.162045,0.206469,0.15076,0.275499,0.320771,0.855556,0.441989,0.525603,0.307944,0.267303,0.233941,0.27078,0.264469,0.329834,0.161924,0.638347,0.340363,0.913756,0.59381,0.480607,0.44892,0.80776,0.58372,0.782002,0.547283,0.407464,0.321223,0.361447,0.388097,0.235692,0.151488,0.078392,0.349206,0,0.330827,0.282422,0.108261,0.195488,0,0,1,1,0,0 +0.300619,0.116943,0.090322,0.395932,0.585418,0.375001,0.542394,0.269942,0.333558,0.518746,0.409839,0.427852,0.476376,0.399306,0.273183,0.263164,0.069692,0.073704,0.035602,0.030949,0.042746,0.056723,0.103668,0.193542,0.190285,0.408334,0.464425,0.229331,0.420999,0.395303,0.434232,0.238102,0.066805,0.119116,0.131502,0.238302,0.286781,0.331152,0.419405,0.636833,0.572665,0.711233,0.454076,0.463113,0.357101,0.42161,0.48183,0.345128,0.311103,0.221054,0.921073,0.570274,0.339573,0.129974,0.25556,0.30468,0.233785,0.455778,0.578982,0.280181,0.615278,0.29877,0.245348,0.166124,0.022198,0.698413,0,0.661654,0.132568,0.152593,0.176602,0,0,0,1,1,0 +0.106705,0.007538,0.120527,0.381411,0.76017,0.660777,0.604326,0.561396,0.544033,0.565609,0.655637,0.407084,0.611444,0.26429,0.448488,0.760233,0.033564,0.030872,0.09443,0.140204,0.34967,0.31581,0.263709,0.234101,0.26349,0.398557,0.304366,0.217082,0.389915,0.341495,0.271367,0.215952,0.066075,0.093426,0.159152,0.274958,0.2695,0.235879,0.277268,0.280808,0.187229,0.282626,0.239747,0.097486,0.152331,0.146067,0.197595,0.115987,0.361194,0.27417,0.884877,0.539908,0.444234,0.415157,0.410481,0.281807,0.325744,0.33004,0.467595,0.138844,0.221044,0.142727,0.134379,0.243557,0.132246,0.761905,0,0.721805,0.149582,0.335487,0.305788,0,0,0,1,1,0 +0.337545,0.402507,0.210306,0.658041,0.224079,0.617601,0.597364,0.598626,0.302738,0.497964,0.477694,0.47387,0.410453,0.416381,0.406874,0.448144,0.43716,0.656949,0.095321,0.299608,0.385581,0.508948,0.734687,0.536731,0.753138,0.803721,0.832031,0.322276,0.613115,0.475751,0.535921,0.302492,0.149013,0.335194,0.162557,0.079167,0.219721,0.129562,0.286402,0.253043,0.27769,0.254493,0.161134,0.102844,0.229091,0.203071,0.141034,0.127778,0.508492,0.317777,0.885922,0.423651,0.38211,0.333643,0.265636,0.306555,0.472531,0.384708,0.506751,0.137024,0.340121,0.219392,0.128396,0.119306,0.144981,0.190476,0.144557,0.661654,0.17808,0.008315,0.203656,0,0,0,0,0,1 +0.61072,0.436095,0.243753,0.61112,0.219128,0.569678,0.336155,0.472062,0.356011,0.649409,0.569394,0.408748,0.58915,0.519874,0.347002,0.673213,0.476211,0.470368,0.127271,0.349711,0.367508,0.549711,0.904444,0.532783,0.771589,0.798117,0.536064,0.468235,0.452845,0.412959,0.602232,0.344177,0.274304,0.247771,0.202243,0.607775,0.209079,0.287876,0.852191,0.283278,0.276403,0.275792,0.128654,0.153311,0.150324,0.102126,0.118901,0.103588,0.401425,0.305252,0.883875,0.478151,0.352665,0.395256,0.632446,0.607698,0.625072,0.730985,0.392404,0.418842,0.237817,0.110527,0.200064,0.190627,0.037361,0.619048,0.005093,0.586466,0.076624,0.143582,0.215193,0,0,0,0,0,1 +0.388249,0.266819,0.119194,0.698994,0.282574,0.337936,0.399056,0.449607,0.268814,0.37572,0.612507,0.437755,0.749356,0.551221,0.36039,0.293861,0.23443,0.315874,0.068047,0.134526,0.076031,0.165043,0.245803,0.238049,0.269444,0.380024,0.299292,0.276797,0.395144,0.295969,0.366777,0.203202,0.173605,0.195245,0.109193,0.193479,0.162123,0.164649,0.261556,0.396535,0.456179,0.34647,0.148068,0.171301,0.155652,0.1431,0.148914,0.132695,0.327666,0.426755,0.924863,0.489593,0.250905,0.207929,0.22547,0.346931,0.421635,0.362376,0.198998,0.265681,0.290887,0.124734,0.152726,0.125921,0.476844,0.301587,0.579062,0.285714,0.432692,0.354981,0.548205,0,0,1,0,1,0 +0.467856,0.327403,0.423166,0.559784,0.217679,0.338562,0.611555,0.656919,0.330105,0.607531,0.667706,0.452365,0.572163,0.451897,0.445913,0.483964,0.514401,0.52385,0.282024,0.332329,0.394108,0.558386,0.346447,0.317786,0.40307,0.457423,0.509655,0.353214,0.484173,0.429243,0.487603,0.308798,0.151755,0.151808,0.25455,0.229884,0.283618,0.478143,0.402707,0.443389,0.320958,0.238712,0.317936,0.16415,0.249455,0.227929,0.237662,0.09468,0.342263,0.36349,0.79114,0.404801,0.250907,0.451122,0.266883,0.202196,0.383906,0.402344,0.283989,0.250931,0.250912,0.290741,0.137796,0.137962,0.583972,0.206349,0.813325,0.195489,0.699816,0.797573,0.798201,0,1,0,0,0,0 +0.218983,0.053855,0.10539,0.545117,0.614567,0.488599,0.432238,0.23666,0.501378,0.265422,0.535587,0.387408,0.579219,0.359719,0.267642,0.471553,0.063004,0.029089,0.056132,0.09655,0.189369,0.174817,0.134896,0.21006,0.236174,0.402506,0.511702,0.383304,0.675849,0.603466,0.651613,0.526954,0.066768,0.088324,0.157156,0.109939,0.176716,0.123921,0.191503,0.253154,0.314807,0.258246,0.169123,0.197915,0.371796,0.280939,0.230623,0.154099,0.314776,0.230147,0.921552,0.488225,0.3495,0.229482,0.252639,0.274094,0.419486,0.560003,0.621582,0.410314,0.496136,0.379325,0.251905,0.434385,0.070951,0.31746,0.119769,0.300752,0.23005,0.306271,0.526409,1,1,1,0,0,0 +0.462845,0.303201,0.127655,0.674753,0.302569,0.645185,0.514291,0.400809,0.700525,0.518253,0.446151,0.585166,0.598777,0.378723,0.424602,0.550594,0.303503,0.351208,0.091041,0.133491,0.18741,0.374056,0.383967,0.288593,0.323866,0.39796,0.455688,0.316247,0.36955,0.336888,0.441589,0.283295,0.108653,0.212205,0.081719,0.083763,0.218761,0.341205,0.55147,0.306068,0.419062,0.203209,0.194327,0.147649,0.256483,0.184526,0.235089,0.166344,0.35429,0.199799,0.907919,0.481093,0.256743,0.606206,0.387386,0.282934,0.561367,0.35199,0.279877,0.248366,0.248081,0.175827,0.171376,0.168774,0.11637,0.063492,0.008938,0.481203,0.286279,0.112654,0.298961,1,1,1,0,0,0 +0.230299,0.079344,0.007625,0.548415,0.49797,0.500273,0.646732,0.51341,0.745482,0.538092,0.642849,0.459095,0.454775,0.181682,0.121789,0.181842,0.106365,0.101402,0.031939,0.153067,0.129728,0.144389,0.188486,0.337007,0.194835,0.281477,0.261529,0.148843,0.302782,0.200604,0.368645,0.325132,0.119415,0.178718,0.124985,0.191541,0.21035,0.161091,0.554642,0.61958,0.378435,0.285765,0.243577,0.197906,0.267005,0.201468,0.249061,0.208808,0.49966,0.333464,0.944507,0.490923,0.211992,0.298754,0.432168,0.357576,0.466171,0.399518,0.37005,0.160799,0.288432,0.263754,0.266307,0.41068,0.011425,0.079365,0.003583,0.075188,0.110943,0.031981,0.071184,0,0,0,1,1,0 +0.502611,0.303678,0.084188,0.673142,0.223203,0.554584,0.464804,0.534271,0.37322,0.401655,0.52794,0.283922,0.440996,0.762142,0.339254,0.366836,0.272143,0.249771,0.057342,0.194011,0.218125,0.32814,0.206567,0.18203,0.185179,0.439908,0.258373,0.26166,0.387962,0.54296,0.779439,0.531307,0.194567,0.188802,0.080721,0.130054,0.228806,0.235489,0.177838,0.261015,0.221999,0.371904,0.157676,0.231974,0.282645,0.258114,0.446607,0.293291,0.27124,0.16528,0.928478,0.426109,0.31973,0.297956,0.191631,0.143269,0.233737,0.671373,0.192329,0.393169,0.57103,0.561551,0.665402,0.682829,0.060667,0.698413,0.095854,0.661654,0.085572,0.168704,0.252867,1,1,0,0,0,0 +0.217179,0.092759,0.050142,0.469897,0.690951,0.247067,0.326204,0.636473,0.315725,0.606394,0.392588,0.140299,0.246492,0.152549,0.219567,0.399235,0.075699,0.075543,0.029606,0.232652,0.199167,0.296605,0.18131,0.206941,0.069295,0.275291,0.178711,0.176068,0.299618,0.44958,0.770534,0.585737,0.104208,0.256829,0.16426,0.204086,0.450753,0.444615,0.375308,0.399231,0.234843,0.284518,0.216712,0.284406,0.563991,0.459108,0.531088,0.550434,0.381668,0.45312,0.94834,1,0.331932,0.535957,0.278158,0.398237,0.212774,0.582073,0.404512,0.353751,0.542693,0.894092,1,1,0.080902,0.079365,0.117264,0.075188,0.653139,0.645356,0.850386,0,0,1,1,1,0 +0.234522,0.089804,0.043433,0.502294,0.725241,0.243714,0.335262,0.567124,0.36085,0.507744,0.276288,0.179831,0.527261,0.550245,0.445553,0.476697,0.043262,0.054562,0,0.095742,0.172078,0.279133,0.179397,0.207662,0.081001,0.269296,0.24577,0.142596,0.319301,0.24457,0.365795,0.306337,0.127593,0.15087,0.013033,0.342066,0.629637,0.426387,0.292085,0.475809,0.249069,0.629804,0.367993,0.288348,0.33642,0.606544,0.626172,0.278974,0.02051,0.334749,0,0,0.285426,0.372624,0.185351,0.263481,0.253583,0.508793,0.405634,0.252856,0.502917,0.455091,0.348556,0.601422,0.019685,0.253968,0.019208,0.240602,0.065184,0.129447,0.106328,0,0,1,1,1,0 +0.337404,0.151987,0.079602,0.632241,0.444043,0.476692,0.461752,0.456696,0.4098,0.283813,0.34831,0.405241,0.435345,0.523608,0.514723,0.241044,0.116484,0.117431,0.042313,0.125912,0.146509,0.187851,0.25026,0.140784,0.186434,0.331435,0.323822,0.225556,0.331195,0.287153,0.433193,0.336185,0.121773,0.136886,0.054186,0.191652,0.184043,0.293522,0.252203,0.203638,0.237847,0.197706,0.183671,0.160753,0.281161,0.194563,0.27534,0.233775,0.271883,0.210482,0.933705,0.475787,0.183876,0.358607,0.192779,0.121843,0.249381,0.384036,0.244036,0.209553,0.306717,0.307966,0.261456,0.267139,0.037758,0.698413,0.008709,0.661654,0.20458,0.188917,0.248369,0,0,1,1,0,0 +0.398394,0.243994,0.084188,0.897762,0.378409,0.343179,0.52251,0.479539,0.100771,0.581488,0.503792,0.249621,0.350511,0.500025,0.318421,0.351745,0.140085,0.125678,0.0538,0.077987,0.07883,0.113652,0.168469,0.1485,0.204312,0.285848,0.311689,0.146005,0.206246,0.186903,0.244394,0.177114,0.055295,0.082982,0.174475,0.071619,0.040398,0.154238,0.207496,0.224858,0.502771,0.154575,0.205682,0.192418,0.120601,0.09362,0.07724,0.092785,0.297718,0.246099,0.923948,0.457622,0.169279,0.191689,0.244653,0.168817,0.258255,0.257018,0.190618,0.109103,0.115733,0.084179,0.08449,0.095787,0.10557,0.428571,0.009684,0.406015,0.288109,0.167037,0.272581,0,1,0,0,0,1 +0.487617,0.295795,0.191996,0.85602,0.24289,0.365196,0.456708,0.336869,0.498738,0.478592,0.546893,0.323698,0.713114,0.509749,0.348683,0.28274,0.337049,0.259958,0.101636,0.222368,0.305261,0.343846,0.324259,0.360091,0.382643,0.461535,0.385595,0.259049,0.439308,0.336596,0.345229,0.290888,0.200911,0.20025,0.161383,0.183315,0.29477,0.292763,0.338679,0.364725,0.419664,0.269706,0.250238,0.220193,0.224975,0.227203,0.155834,0.122856,0.366409,0.319302,0.895331,0.384311,0.488346,0.427352,0.305783,0.292061,0.417795,0.368581,0.254134,0.255725,0.270738,0.14866,0.093961,0.170194,0.023942,0.031746,0.012674,0.43609,0.103205,0.084266,0.110862,1,1,1,0,0,0 +0.599538,0.389687,0.07531,0.863181,0.203262,0.288978,0.301902,0.480435,0.335176,0.411634,0.634001,0.541319,0.876712,0.520463,0.39556,0.540055,0.203176,0.163744,0.0302,0.01236,0,0.100016,0.061497,0.073508,0.099779,0.174527,0.134404,0.163823,0.209828,0.206207,0.262034,0.154689,0.018978,0.046145,0.128977,0.045837,0.019606,0.107527,0.117908,0.095028,0.134114,0.140504,0.087026,0.13903,0.100531,0.106344,0.094411,0.06464,0.191238,0.13126,0.939063,0.389946,0.061161,0.162357,0.095225,0.082215,0.103155,0.190303,0.07562,0.100422,0.098131,0.074663,0.052094,0.079263,0.209074,0.650794,0.158922,0.616541,0.102529,0.575389,0.469707,1,0,0,0,0,1 +0.361247,0.163508,0.116042,0.52446,0.502391,0.173867,0.454048,0.385937,0.505638,0.274855,0.446794,0.226518,0.503831,0.44725,0.326583,0.358846,0.09442,0.05346,0.031235,0.1077,0.073291,0.075258,0.078419,0.152961,0.171064,0.322389,0.350389,0.249907,0.419391,0.354061,0.43947,0.246842,0.099548,0.095894,0.1116,0.558043,0.320578,0.097892,0.140038,0.376411,0.246348,0.240068,0.23587,0.249706,0.44895,0.212839,0.258078,0.135457,0.238483,0.177406,0.930656,0.434766,0.255121,0.093222,0.06127,0.105597,0.090571,0.22744,0.187804,0.209754,0.312911,0.147292,0.176415,0.124945,0.032697,0.380952,0,0.932331,0.199338,0.143147,0.186737,1,1,0,0,0,0 +0.329937,0.198016,0.108598,0.806685,0.296572,0.482434,0.400403,0.495931,0.285339,0.417017,0.646737,0.355898,0.596262,0.645166,0.596845,0.40629,0.175073,0.192076,0.038617,0.085713,0.063697,0.213969,0.228426,0.203776,0.307767,0.293496,0.355159,0.15047,0.308314,0.249881,0.384184,0.199224,0.235264,0.298648,0.105495,0.138465,0.118998,0.207352,0.277518,0.259335,0.401178,0.176644,0.170035,0.083203,0.119803,0.150579,0.160462,0.074609,0.28973,0.19659,0.928609,0.397431,0.157714,0.369559,0.156709,0.249089,0.439595,0.340546,0.288175,0.120855,0.286756,0.063544,0.192543,0.086845,0.023303,0.412698,0.047152,0.390977,0.067087,0.038104,0.105307,1,1,0,0,0,1 +0.440535,0.271534,0.197983,0.657187,0.317357,0.412847,0.382278,0.445297,0.408398,0.584878,0.494936,0.431396,0.661274,0.388688,0.444278,0.434906,0.325066,0.327013,0.13089,0.262552,0.298997,0.333367,0.420004,0.332535,0.317733,0.471552,0.426441,0.173295,0.32721,0.358545,0.339837,0.234453,0.156294,0.188553,0.116356,0.225034,0.18768,0.225838,0.392476,0.477226,0.192505,0.135966,0.145149,0.142047,0.175573,0.143571,0.183936,0.133032,0.410826,0.269507,0.893283,0.33,0.421888,0.27235,0.291815,0.284188,0.241011,0.332043,0.286047,0.082145,0.213296,0.177305,0.162468,0.154424,0.300797,0.428571,0.034732,0.406015,0.447688,0.049585,0.303701,0,1,1,0,0,0 +0.310651,0.231424,0.188415,0.554147,0.34244,0.520923,0.455479,0.357528,0.29188,0.591151,0.524237,0.44009,0.617033,0.527163,0.455497,0.361721,0.298902,0.417331,0.154709,0.277324,0.424137,0.481377,0.529188,0.472465,0.399063,0.574664,0.522613,0.305615,0.440858,0.335303,0.394552,0.286955,0.113875,0.198336,0.197722,0.213885,0.236095,0.244473,0.566602,0.535924,0.356928,0.31743,0.179166,0.141538,0.19904,0.164131,0.221109,0.163322,0.279007,0.420924,0.869109,0.491617,0.499593,0.404796,0.395392,0.516863,0.36384,0.385108,0.273041,0.217228,0.288708,0.131909,0.091007,0.2404,0.094277,0.555556,0.054155,0.526316,0.27234,0.17005,0.347134,0,0,1,0,0,0 +0.132363,0.011468,0.062014,0.261546,0.61247,1,0.816649,0.609951,0.327747,0.602389,0.526334,0.293369,0.861764,0.087629,0.279378,0.230112,0.054465,0.043204,0.057694,0.246989,0.289051,0.155407,0.325796,0.222201,0.260598,0.387435,0.217644,0.151564,0.335883,0.258741,0.369631,0.244304,0.074946,0.110558,0.163262,0.463511,0.536064,0.271656,0.532766,0.410875,0.515451,0.420249,0.188831,0.143956,0.358177,0.193142,0.236664,0.204594,0.411359,0.308291,0.922772,0.698171,0.646022,0.397848,0.706679,0.498429,0.814773,0.710794,0.403666,0.29398,0.438655,0.253084,0.326922,0.391915,0.015065,0.555556,0.008687,0.526316,0.047562,0.015665,0.040531,0,0,0,1,1,0 +0.210905,0.81521,0.628762,0.549383,0.37122,0.430452,0.285717,0.496251,0.179039,0.165439,0.313803,0.427326,0.773987,0.32499,0.360512,1,0.378664,0.885873,0.540504,0.532626,0.447942,0.455836,0.34924,0.548327,0.650864,0.870523,0.884237,0.39704,0.549084,0.430784,0.433079,0.546302,0.052993,0.284599,0.503757,0.169548,0.239011,0.259145,0.152437,0.519661,0.495236,0.411351,0.390775,0.257241,0.450885,0.306664,0.171216,0.172248,0.275518,0.017224,0.871809,0.451134,0.316672,0.296199,0.157208,0.490242,0.53549,0.809573,0.695472,0.231487,0.490394,0.329761,0.148025,0.336615,0.317,0.650794,0.210649,0.616541,0.232905,0.331445,0.439972,1,0,0,0,0,0 +0.232065,0.105924,0.107909,0.686129,0.598701,0.395131,0.455747,0.524869,0.516279,0.511514,0.534852,0.256041,0.541002,0.225073,0.124327,0.426585,0.127557,0.125719,0.119228,0.229264,0.427104,0.384928,0.303078,0.292605,0.306051,0.513363,0.366939,0.216405,0.413579,0.434987,0.425006,0.19306,0.094102,0.214733,0.241928,0.171646,0.256837,0.32829,0.297843,0.408107,0.279517,0.346575,0.149381,0.128254,0.213968,0.322965,0.252362,0.165913,0.459852,0.337002,0.888361,0.468546,0.610712,0.679787,0.56278,0.437635,0.757548,0.584559,0.436846,0.289422,0.320253,0.372919,0.26187,0.19071,0.032877,0.142857,0.038364,0.135338,0.096642,0.214539,0.181392,0,1,1,1,0,0 +0.468649,0.293086,0.093902,0.934095,0.274127,0.290084,0.347842,0.298065,0.391134,0.48751,0.534704,0.476756,0.601223,0.482268,0.339411,0.171011,0.182325,0.166837,0.031345,0.043534,0.050603,0.165529,0.167669,0.169461,0.270359,0.328182,0.269478,0.212791,0.301716,0.291532,0.359551,0.25523,0.076097,0.125189,0.196313,0.023964,0.108747,0.13084,0.208091,0.224955,0.312394,0.126604,0.108856,0.121197,0.187116,0.132623,0.125401,0.113377,0.30139,0.23585,0.926387,0.423041,0.271726,0.253981,0.242349,0.135325,0.410599,0.358325,0.215213,0.183861,0.191947,0.15424,0.118991,0.19363,0.094169,0.412698,0.002201,0.390977,0.192852,0.150963,0.174646,1,0,0,0,0,1 +0.062345,0.128041,0.2296,0.668174,0.38257,0.629334,0.510871,0.60913,0.457346,0.638742,0.739638,0.590916,0.731701,0.511682,0.364486,0.27144,0.065166,0.581183,0.119954,0.248366,0.337809,0.253491,0.15389,0.153639,0.119212,0.213259,0.189197,0.093187,0.136789,0.19462,0.295051,0.185873,0.044094,0.106565,0.056182,0.129295,0.026664,0.061889,0.049788,0.07331,0.062986,0.024733,0.002611,0.011604,0.001605,0.017584,0.025322,0.030419,0.331613,0.199025,0.861965,0.314164,0.003593,0.10569,0.021577,0.024124,0.039731,0.147867,0.015604,0.044653,0.076356,0.049942,0.043377,0.064388,0.223645,0.253968,0.20356,0.240602,0.213986,0.237301,0.227472,1,0,0,0,0,0 +0.36696,0.1914,0.082008,0.675592,0.363009,0.476559,0.505366,0.472673,0.418811,0.335959,0.364798,0.44624,0.561711,0.444287,0.437335,0.187528,0.166781,0.158684,0.033446,0.134023,0.154147,0.216809,0.211197,0.16029,0.256502,0.336437,0.283052,0.246643,0.369495,0.369597,0.449674,0.387515,0.061415,0.106029,0.166608,0.145297,0.162657,0.179851,0.209784,0.162316,0.249129,0.128741,0.144742,0.178116,0.272135,0.202683,0.195072,0.24701,0.296579,0.221764,0.933226,0.447112,0.201551,0.244534,0.162411,0.110724,0.284871,0.355484,0.167831,0.21015,0.333018,0.321886,0.154571,0.331527,0.05153,1,0,0.947368,0.177025,0.194936,0.193966,0,1,1,0,0,0 +0.211812,0.200582,0.211041,0.597911,0.36025,0.522278,0.477118,0.591794,0.200518,0.555184,0.514955,0.386413,0.657953,0.538976,0.416024,0.600806,0.346004,0.544521,0.181048,0.372822,0.247724,0.353934,0.521996,0.31101,0.573271,0.480931,0.442261,0.342668,0.32516,0.307538,0.395976,0.22217,0.122231,0.226042,0.172713,0.194021,0.15848,0.263597,0.282799,0.251084,0.346072,0.156415,0.133447,0.174503,0.158365,0.095609,0.169295,0.089878,0.54338,0.424156,0.869414,0.365155,0.250293,0.394355,0.310119,0.39536,0.51897,0.395577,0.31472,0.334975,0.268537,0.108717,0.202023,0.118203,0.01841,0.650794,0.029177,0.616541,0.088589,0.054075,0.097205,0,0,1,0,1,0 +0.143496,0.024699,0.062127,0.277082,0.637184,0.721801,0.535738,0.666164,0.388354,0.474646,0.484264,0.261421,0.73607,0.504121,0.516738,0.379254,0.036933,0.025491,0.049168,0.22681,0.201009,0.261749,0.073075,0.079199,0.043643,0.126695,0.209856,0.093734,0.150236,0.218761,0.251469,0.186725,0.048595,0.077769,0.117236,0.387037,0.492981,0.458998,0.281193,0.403159,0.293479,0.331687,0.420836,0.269648,0.223632,0.279681,0.403311,0.399069,0.363232,0.276558,0.923295,0.611013,0.399391,0.44549,0.276843,0.261475,0.33153,0.358136,0.262916,0.228654,0.234438,0.296787,0.249072,0.410458,0.014247,0.761905,0.000925,0.721805,0.108916,0.100247,0.15126,0,0,0,1,1,1 +0.231455,0.115174,0.228538,0.488786,0.448262,0.412867,0.335322,0.51888,0.468468,0.567114,0.63236,0.426589,0.763027,0.798591,0.267019,0.666041,0.256817,0.25984,0.208454,0.315262,0.356026,0.331117,0.548366,0.401704,0.379547,0.501704,0.391569,0.23444,0.323099,0.321929,0.464434,0.275295,0.156995,0.177734,0.207937,0.3039,0.322609,0.269525,0.717001,0.587509,0.451572,0.401465,0.364595,0.141107,0.201855,0.34898,0.276528,0.178221,0.593526,0.359841,0.928478,0.577272,0.483058,0.361614,0.512913,0.406689,0.556889,0.655767,0.522552,0.204411,0.381416,0.30411,0.20351,0.233825,0.211012,0.428571,0,1,0.357844,0.030617,0.195305,0,0,1,0,0,0 +0.452101,0.294478,0.096297,0.955411,0.296715,0.285892,0.423394,0.468334,0.372211,0.467531,0.46625,0.417171,0.439936,0.496532,0.415362,0.457174,0.202364,0.174614,0.031103,0.037092,0.081658,0.254455,0.263256,0.368907,0.278098,0.339256,0.30756,0.138242,0.298867,0.239559,0.297885,0.218086,0.085839,0.114407,0.194669,0.014749,0.060875,0.160144,0.231942,0.259857,0.169029,0.080959,0.07768,0.073415,0.074537,0.076168,0.06857,0.066703,0.375608,0.246527,0.922816,0.438161,0.219402,0.245569,0.254642,0.391461,0.344866,0.255158,0.27256,0.091452,0.171802,0.122647,0.067377,0.111583,0.197791,0.444444,0.214662,0.421053,0.244014,0.124143,0.295171,1,0,0,0,0,1 +0.317821,0.199748,0.144644,0.849701,0.34505,0.403753,0.546081,0.535249,0.35445,0.559501,0.605484,0.206611,0.60175,0.572009,0.31211,0.280426,0.223005,0.20239,0.085111,0.130334,0.154248,0.161997,0.210148,0.171255,0.194954,0.324183,0.316566,0.143853,0.246612,0.169788,0.193774,0.155424,0.037833,0.068521,0.057004,0.229251,0.046556,0.593869,0.329098,0.164974,0.289211,0.124864,0.103196,0.106992,0.07748,0.073514,0.034522,0.081029,0.368521,0.342358,0.90487,0.410871,0.40745,0.398642,0.231137,0.301308,0.393371,0.524293,0.31891,0.182052,0.218386,0.117881,0.069361,0.138528,0.015188,0.206349,0.038322,0.195489,0.086738,0.109467,0.112842,1,0,0,0,0,0 +0.230802,0.085503,0.131992,0.393738,0.45037,0.58792,0.408577,0.556889,0.323833,0.461935,0.505275,0.501397,0.669787,0.347584,0.328388,0.449777,0.191428,0.188548,0.074945,0.267564,0.240802,0.235042,0.23497,0.246842,0.304378,0.476318,0.50233,0.307679,0.439451,0.507172,0.722836,0.419237,0.082573,0.138018,0.223729,0.262038,0.257873,0.422382,0.25334,0.328087,0.302302,0.233574,0.180273,0.140159,0.194036,0.249658,0.310304,0.147726,0.344485,0.30849,0.924471,0.61595,0.529129,0.247536,0.28366,0.235245,0.636432,0.710066,0.395189,0.35434,0.44506,0.437977,0.514543,0.391907,0.126341,0.555556,0.180657,0.526316,0.324286,0.075973,0.374606,0,1,1,0,0,0 +0.417664,0.178339,0.072294,0.597516,0.527993,0.110805,0.471545,0.074406,0.386928,0.37846,0.19481,0.545929,0.896465,0.467238,0.404542,0.448014,0.065946,0.063626,0.023148,0.109541,0.040698,0.051953,0.122982,0.186452,0.195424,0.356137,0.316292,0.237353,0.452662,0.346622,0.365626,0.255692,0.017508,0.02173,0.050957,0.096832,0.084014,0.125104,0.296085,0.397003,0.287018,0.361388,0.323591,0.33488,0.471789,0.392275,0.268488,0.136522,0.283928,0.192642,0.947382,0.549584,0.24177,0.090972,0.232149,0.231856,0.386598,0.495544,0.336009,0.329564,0.476451,0.229429,0.110654,0.163924,0.036276,0.603175,0,0.571429,0.131766,0.216267,0.198615,0,1,0,0,0,0 +0.110177,0.013576,0.138227,0.517785,0.801398,0.492188,0.569392,0.524416,0.663576,0.350231,0.49181,0.351576,0.575535,0.725724,0.270431,0.078734,0.030833,0.018804,0.112869,0.180747,0.256199,0.368525,0.317479,0.37126,0.211159,0.531521,0.358573,0.215722,0.317924,0.227202,0.309776,0.244226,0.056165,0.075024,0.163144,0.279163,0.226384,0.313937,0.295225,0.523793,0.186122,0.282722,0.167617,0.083501,0.113328,0.143436,0.131546,0.12657,0.339601,0.237704,0.892674,0.532791,0.399934,0.533685,0.324127,0.588451,0.278239,0.713721,0.326682,0.188491,0.300334,0.124252,0.198281,0.137746,0.020633,0.571429,0.022154,0.541353,0.12157,0.037606,0.117464,0,0,1,1,1,0 +0.188045,0.048398,0.046652,0.437211,0.915953,0.395165,0.325262,0.533407,0.233831,0.331344,0.40226,0.272256,0.521537,0.570911,0.377283,0.364893,0.037045,0.033539,0.050686,0.14268,0.146823,0.149635,0.145109,0.13173,0.159046,0.232194,0.18113,0.150427,0.289463,0.269776,0.288198,0.192396,0.039265,0.051968,0.131208,0.570865,0.35956,0.414813,0.186144,0.3075,0.327106,0.246896,0.334118,0.245565,0.292434,0.340109,0.313801,0.180133,0.36819,0.293818,0.913625,0.707548,0.671382,0.414175,0.364857,0.274165,0.429055,0.483699,0.301584,0.215245,0.271153,0.234775,0.131384,0.218417,0.027711,0.380952,0.041603,0.360902,0.145223,0.081622,0.175747,0,0,0,1,1,0 +0.068452,0.000671,0.07444,0.56404,0.553894,0.762125,0.498343,0.722581,0.422988,0.530485,0.471354,0.285796,0.631787,0.502952,0.272039,0.329704,0.041435,0.043386,0.059433,0.144753,0.204647,0.142942,0.245475,0.296705,0.140652,0.248034,0.279623,0.1976,0.339151,0.241149,0.328976,0.124217,0.04823,0.070051,0.067923,0.272705,0.248899,0.242548,0.528997,0.643882,0.340049,0.268631,0.225952,0.138287,0.354487,0.175926,0.175625,0.120065,0.391822,0.328044,0.908703,0.56072,0.477156,0.368207,0.628978,0.631966,0.396642,0.353901,0.314127,0.279035,0.473129,0.247819,0.200146,0.106112,0.008701,0.698413,0,0.661654,0.049998,0.088851,0.135118,0,0,1,1,1,0 +0.295884,0.212441,0.094185,1,0.23278,0.513209,0.366737,0.400134,0.234681,0.373163,0.548975,0.253327,0.444405,0.544239,0.298816,0.474274,0.147516,0.270096,0.03536,0.037162,0.069119,0.168786,0.156538,0.195027,0.179383,0.269847,0.288458,0.16575,0.243056,0.245902,0.372815,0.189205,0.086223,0.121016,0.084654,0.029549,0.119897,0.117543,0.102514,0.135499,0.180481,0.109312,0.076304,0.066293,0.051196,0.093847,0.137354,0.076987,0.296671,0.245747,0.928347,0.464945,0.27077,0.179538,0.198039,0.238725,0.188299,0.241274,0.222113,0.127899,0.144139,0.130827,0.131074,0.102041,0.003326,0.619048,0.009225,0.586466,0.02455,0.021087,0.024176,0,0,0,0,0,1 +0.032444,0.71992,0.268085,0.707863,0.3803,0.590334,0.389951,0.618743,0.427468,0.53378,0.486529,0.360093,0.418698,0.38169,0.360662,0.589627,0.039187,1,0.22851,0.176713,0.28226,0.243619,0.155427,0.130467,0.096174,0.174723,0.148221,0.067919,0.099122,0.101265,0.074502,0.083442,0.106454,0.428047,0.064048,0.151317,0.127889,0.081635,0.055366,0.072831,0.071953,0.039289,0.044533,0.018422,0.056885,0.08972,0.073694,0.033486,0.343824,0.233163,0.828339,0.334594,0.319878,0.152289,0.10567,0.126039,0.119645,0.179462,0.09579,0.043314,0.041291,0.061382,0.063066,0.041661,0.135355,0.285714,0.205249,0.270677,0.150561,0.24391,0.264358,1,0,0,0,0,1 +0.176566,0.077269,0.105402,0.645336,0.422474,0.453541,0.656204,0.382659,1,0.122022,0.706257,0.208267,0.771264,0.284567,0.433336,0.142561,0.112905,0.132857,0.05435,0.177311,0.147418,0.169264,0.148949,0.136139,0.206626,0.363812,0.232945,0.224028,0.391808,0.530875,0.576453,0.357641,0.072401,0.211757,0.208172,0.170274,0.137961,0.13079,0.182514,0.181229,0.29318,0.219445,0.084992,0.157487,0.231661,0.372465,0.328021,0.173138,0.34151,0.343672,0.920028,0.443813,0.173511,0.196073,0.213222,0.097257,0.456309,0.29723,0.167548,0.281293,0.315002,0.598991,0.368803,0.352774,0.049218,0.349206,0.003551,0.330827,0.203992,0.160881,0.183388,0,1,1,0,0,0 +0.155423,0.032249,0.125621,0.4143,0.490792,0.705803,0.624077,0.832719,0.486401,0.408448,0.627982,0.386399,0.882029,0.423988,0.269842,0.609212,0.10273,0.103592,0.095794,0.256484,0.290395,0.295028,0.319804,0.331201,0.413295,0.607083,0.302479,0.296041,0.467553,0.486635,0.415484,0.28395,0.031564,0.064348,0.164905,0.229011,0.332293,0.266688,0.269603,0.341418,0.416136,0.410578,0.199345,0.224728,0.285605,0.240406,0.260483,0.157151,0.385505,0.276951,0.89973,0.492558,0.381912,0.392579,0.417005,0.398245,0.630064,0.742738,0.25983,0.275897,0.543475,0.386443,0.226602,0.195921,0.053993,0.555556,0.030552,0.526316,0.323947,0.02623,0.216741,0,0,0,1,1,0 +0.403135,0.234137,0.153816,0.625935,0.305087,0.448825,0.423582,0.393,0.344137,0.360523,0.537153,0.343359,0.588618,0.612997,0.254996,0.488724,0.214446,0.213997,0.098665,0.169084,0.202899,0.22993,0.151312,0.18917,0.089467,0.186083,0.351977,0.257493,0.436291,0.536545,0.587338,0.424809,0.148723,0.175821,0.17289,0.117026,0.257864,0.206255,0.154191,0.226153,0.170622,0.122226,0.355717,0.250216,0.338147,0.309211,0.335686,0.20891,0.28211,0.318534,0.879084,0.599587,0.260738,0.274792,0.183293,0.2027,0.200439,0.21078,0.348671,0.210037,0.433078,0.338404,0.315768,0.348706,0.082527,0.365079,0,0.345865,0.29733,0.326965,0.319392,0,1,1,0,0,0 +0.14091,0.040455,0.126197,0.616462,0.654731,0.389708,0.631842,0.53434,0.703964,0.529315,0.376233,0.310313,0.339774,0.594047,0.234945,0.423521,0.071996,0.072786,0.136611,0.263071,0.343936,0.297488,0.335903,0.350294,0.122983,0.289999,0.194321,0.101917,0.331081,0.319346,0.340173,0.189096,0.06382,0.102193,0.195491,0.281035,0.41068,0.118964,0.441982,0.541547,0.222699,0.177257,0.113911,0.106624,0.235746,0.237157,0.180694,0.127093,0.355833,0.266051,0.879998,0.460661,0.421917,0.471538,0.532773,0.62237,0.339365,0.414852,0.199609,0.127025,0.311852,0.318759,0.200691,0.161458,0.097867,0.730159,0,0.691729,0.053468,0.289251,0.188197,0,0,1,1,1,0 +0.815378,0.650818,0.294268,0.649467,0.093597,0.67048,0.34128,0.525507,0.235014,0.744214,0.494374,0.466506,0.687798,0.406644,0.513344,0.368402,0.699383,0.551038,0.170343,0.418549,0.348245,0.589276,0.691474,0.649715,0.864897,0.918123,0.824028,0.396932,0.613747,0.467609,0.556647,0.349607,0.404976,0.278582,0.092697,0.209895,0.220347,0.271385,0.324136,0.373621,0.354196,0.245131,0.085444,0.106142,0.158561,0.080016,0.107368,0.080222,0.502855,0.197858,0.86863,0.371798,0.410181,0.4476,0.380964,0.569491,0.573766,0.564377,0.463141,0.220292,0.29969,0.206997,0.109559,0.127601,0.2906,0.222222,0.145503,0.210526,0.419029,0.32061,0.424555,1,0,0,0,0,1 +0.571165,0.45242,0.091903,0.806668,0.190341,0.483529,0.480664,0.516759,0.201963,0.631103,0.670125,0.421271,0.91776,0.465586,0.296293,0.597587,0.26387,0.301591,0.049597,0.090421,0.079738,0.248557,0.299178,0.244341,0.330986,0.374204,0.343334,0.223307,0.427574,0.392984,0.489888,0.31192,0.320747,0.560658,0.204591,0.08739,0.114887,0.125008,0.249582,0.241798,0.302808,0.169114,0.176243,0.117024,0.179663,0.274908,0.269102,0.153605,0.303924,0.172807,0.930743,0.498561,0.225872,0.541253,0.374261,0.344461,0.553938,0.316262,0.229908,0.184144,0.351981,0.252195,0.154722,0.220343,0.211801,0.365079,0.342783,0.345865,0.272056,0.00256,0.327133,0,0,0,0,1,0 +0.409344,0.15691,0.119985,0.419453,0.554387,0.151646,0.38718,0.43688,0.588691,0.405281,0.402055,0.379011,0.817881,0.480398,0.325937,0.322755,0.094506,0.04746,0.036108,0.088375,0.085319,0.081703,0.09942,0.179126,0.195386,0.412908,0.40699,0.266579,0.529144,0.469651,0.414535,0.28269,0.091856,0.115387,0.080603,0.250678,0.31771,0.218457,0.177534,0.331283,0.256808,0.364567,0.376144,0.24336,0.480038,0.359985,0.221262,0.10547,0.313839,0.239387,0.93523,0.576441,0.330675,0.25113,0.138794,0.149707,0.142066,0.383907,0.331711,0.237734,0.478837,0.302897,0.138418,0.154181,0.054639,0.428571,0.111569,0.406015,0.23957,0.057158,0.365256,0,1,1,0,0,0 +0.286327,0.155055,0.126118,0.759343,0.461235,0.424684,0.326503,0.466178,0.421036,0.445494,0.375122,0.334371,0.774823,0.526363,0.365928,0.565811,0.219883,0.237476,0.075561,0.133402,0.212794,0.263272,0.177353,0.220551,0.15214,0.287735,0.374766,0.14636,0.257527,0.235285,0.225049,0.198761,0.146168,0.18126,0.11342,0.18028,0.331401,0.372466,0.514027,0.342716,0.265908,0.344901,0.30183,0.205454,0.206763,0.283887,0.141656,0.10628,0.523622,0.393486,0.914714,0.538653,0.406361,0.422584,0.363643,0.367664,0.296808,0.237803,0.250697,0.104008,0.140292,0.119536,0.060373,0.107852,0.592964,0.428571,0.680445,0.406015,0.996345,0.018223,0.897424,0,0,0,0,1,0 +0.087792,0.004262,0.106046,0.544204,0.670018,0.285297,0.361903,0.651932,0.540003,0.474024,0.636939,0.50267,0.862957,0.523975,0.377463,0.342476,0.042822,0.027364,0.101977,0.134113,0.352224,0.125334,0.08638,0.197891,0.117437,0.174787,0.206319,0.146422,0.169903,0.197086,0.222264,0.116212,0.043944,0.070356,0.172948,0.131189,0.207067,0.127435,0.296451,0.613326,0.43051,0.326151,0.187658,0.166626,0.395932,0.322614,0.3643,0.239336,0.362186,0.246369,0.877603,0.503923,0.283276,0.123594,0.12023,0.278395,0.278736,0.195616,0.186152,0.163963,0.186696,0.122297,0.102997,0.109368,0.013011,0.507937,0,0.481203,0.071679,0.057403,0.057093,0,0,1,0,1,0 +0.495516,0.320244,0.113896,0.937726,0.271726,0.287357,0.50002,0.4434,0.43072,0.532043,0.415519,0.423472,0.593651,0.49125,0.315836,0.397883,0.189923,0.145435,0.043095,0.05688,0.096781,0.218466,0.221612,0.321941,0.177716,0.372546,0.300669,0.150194,0.289311,0.204649,0.27036,0.179851,0.081244,0.093888,0.086885,0.13315,0.137581,0.491862,0.34672,0.368963,0.186779,0.123519,0.094974,0.055036,0.077059,0.120344,0.081023,0.054922,0.286701,0.265629,0.932485,0.479194,0.337567,0.345313,0.242559,0.265886,0.244092,0.408297,0.245083,0.10489,0.208563,0.06775,0.079281,0.086709,0.045553,0.460317,0.073373,0.43609,0.137039,0.073958,0.251029,1,0,0,0,0,1 +0.164331,0.042755,0.143514,0.506277,0.724251,0.533117,0.465837,0.625713,0.357814,0.65212,0.529511,0.146139,0.668793,0.264006,0.293811,0.395913,0.116069,0.089464,0.142222,0.254986,0.384134,0.401526,0.340685,0.313965,0.247939,0.424946,0.298614,0.246598,0.376497,0.351227,0.413559,0.373636,0.092885,0.129048,0.152518,0.44448,0.373009,0.261564,0.270915,0.387819,0.291745,0.238918,0.142827,0.161865,0.366404,0.285792,0.246456,0.218709,0.517747,0.351827,0.893632,0.479443,0.497829,0.509874,0.531593,0.434648,0.43444,0.50674,0.323472,0.305633,0.356979,0.208384,0.247707,0.376544,0.033781,0.31746,0.007559,0.300752,0.189454,0.245454,0.230475,0,0,1,1,1,0 +0.499609,0.299837,0.111163,0.86923,0.285651,0.348265,0.433333,0.469226,0.212741,0.437136,0.540619,0.347939,0.602292,0.398852,0.108326,0.341507,0.295564,0.240366,0.054537,0.068478,0.151257,0.210437,0.233857,0.215529,0.245603,0.473051,0.389573,0.242403,0.374346,0.357151,0.426422,0.226793,0.236696,0.243695,0.158565,0.05023,0.287605,0.261821,0.379781,0.264844,0.25271,0.350402,0.215032,0.143796,0.185822,0.24059,0.233792,0.159817,0.400305,0.294891,0.923861,0.446898,0.373599,0.183748,0.207132,0.148396,0.199973,0.340408,0.2109,0.149038,0.281198,0.242653,0.139729,0.077956,0.023721,1,0,0.947368,0.010915,0.022801,0.066168,0,0,0,0,1,1 +0.248787,0.093115,0.164151,0.369104,0.658952,0.390608,0.547819,0.393444,0.573073,0.423636,0.700401,0.475205,0.663539,0.457491,0.33202,0.471739,0.187911,0.123908,0.14088,0.135981,0.248487,0.329756,0.358638,0.363191,0.363266,0.456174,0.286713,0.226966,0.393768,0.448963,0.42305,0.210092,0.216932,0.191316,0.150346,0.461135,0.38991,0.434245,0.595165,0.760991,0.623182,0.435987,0.282465,0.208408,0.428587,0.309289,0.462413,0.134862,0.785296,0.413456,0.890757,0.523984,0.811408,1,0.666542,0.757072,0.640138,0.841627,0.389762,0.369505,0.690096,0.770183,0.456236,0.269104,0.012386,0.650794,0.01329,0.616541,0.079841,0.051867,0.090402,0,0,1,1,1,0 +0.15288,0.561255,0.270954,0.537063,0.395677,0.60038,0.465436,0.646351,0.457239,0.686312,0.630139,0.358475,0.517202,0.383996,0.381702,0.379941,0.302537,0.847846,0.298296,0.457963,0.415187,0.645964,0.726734,0.464526,0.38872,0.935115,0.591764,0.281185,0.349414,0.360788,0.605662,0.244662,0.086578,0.75051,0.086063,0.143197,0.135839,0.128981,0.255852,0.269751,0.178633,0.286502,0.136588,0.083262,0.1107,0.132767,0.209838,0.069869,0.521951,0.344089,0.809565,0.437933,0.216215,0.227826,0.321762,0.520025,0.326236,0.935168,0.276127,0.221311,0.176777,0.220407,0.273168,0.190167,0.018945,0.031746,0.043433,0.43609,0.109511,0.028385,0.092395,0,1,1,1,0,0 +0.130089,0.038381,0.078495,0.576291,0.60065,0.62961,0.368522,0.636725,0.332257,0.535581,0.440957,0.370477,0.656221,0.445002,0.238335,0.400568,0.071395,0.090166,0.057991,0.168228,0.177471,0.18072,0.253674,0.286361,0.262549,0.281094,0.297097,0.165673,0.374376,0.263938,0.355474,0.197464,0.082657,0.177143,0.134202,0.215097,0.25061,0.228521,0.315636,0.479688,0.278081,0.323901,0.241935,0.145452,0.308651,0.187081,0.172252,0.140743,0.391969,0.39592,0.91785,0.528312,0.484154,0.289198,0.426286,0.360392,0.304043,0.379823,0.223023,0.182126,0.345311,0.27463,0.175581,0.23157,0.014274,0.142857,0.009186,0.135338,0.071743,0.057524,0.061663,0,0,1,1,1,0 +0.310127,0.149522,0.094772,0.592235,0.536586,0.242777,0.351911,0.48394,0.328177,0.357687,0.517838,0.329712,0.43565,0.439739,0.297556,0.237208,0.090636,0.054512,0.037341,0.171579,0.088181,0.087566,0.08851,0.159884,0.135365,0.233201,0.351908,0.164754,0.348456,0.387768,0.309827,0.215095,0.05071,0.069815,0.103264,0.366374,0.160795,0.13868,0.090529,0.213115,0.18758,0.127148,0.421041,0.195434,0.272175,0.220523,0.107819,0.07143,0.304989,0.224979,0.928435,0.542923,0.29589,0.1161,0.108147,0.122782,0.155618,0.318416,0.541101,0.209559,0.305666,0.201017,0.106267,0.121801,0.309606,0.460317,0.133264,0.43609,0.4985,0.015334,0.408407,1,1,0,0,0,0 +0.392833,0.254034,0.068012,0.916195,0.386628,0.269831,0.547368,0.383192,0.349755,0.373685,0.502427,0.285826,0.402007,0.363039,0.329747,0.346936,0.095491,0.077804,0.040047,0,0.045649,0.064054,0.037212,0.086783,0.066181,0.111844,0.089074,0.063256,0.152163,0.11516,0.137215,0.105834,0.03512,0.032761,0.089351,0,0.073386,0.126858,0.128787,0.166548,0.137965,0.107459,0.039433,0.046376,0.062301,0.037079,0.06801,0.045524,0.274306,0.188148,0.93205,0.443737,0.224621,0.153243,0.115723,0.089191,0.078145,0.118759,0.049548,0.041726,0.07529,0.031545,0.024989,0.034069,0.047694,0.222222,0.105851,0.210526,0.354272,0.281296,0.372701,1,0,0,0,1,1 +0.505267,0.339776,0.103741,0.797589,0.253499,0.410496,0.433062,0.397825,0.547944,0.510192,0.582503,0.358145,0.754753,0.473062,0.442762,0.244907,0.227451,0.178796,0.028649,0.060658,0.043122,0.128225,0.137593,0.214764,0.178416,0.266303,0.229833,0.152709,0.313649,0.246425,0.295929,0.180001,0.051982,0.065129,0.067923,0.107697,0.065614,0.082197,0.280361,0.242387,0.220093,0.08445,0.07506,0.053559,0.101419,0.117232,0.184816,0.065373,0.231468,0.142688,0.94368,0.362348,0.120359,0.148321,0.177521,0.178009,0.305696,0.221258,0.183871,0.116302,0.152758,0.079769,0.081579,0.085801,0.252724,0.142857,0.493969,0.135338,0.518167,0.518369,0.538398,1,0,0,0,0,1 +0.318599,0.143949,0.056954,0.519831,0.368352,0.585888,0.442264,0.645173,0.29244,0.570626,0.505119,0.148037,0.462721,0.252063,0.336998,0.349513,0.130573,0.128387,0.045284,0.248366,0.183229,0.448353,0.207549,0.154236,0.178972,0.285925,0.338468,0.296536,0.396276,0.297307,0.383119,0.336321,0.135061,0.203059,0.104262,0.289538,0.351318,0.397094,0.181048,0.298458,0.306103,0.242403,0.165073,0.165072,0.244321,0.18559,0.310686,0.233987,0.292246,0.219593,0.936057,0.463682,0.196204,0.537209,0.2029,0.202401,0.361402,0.530071,0.333902,0.263399,0.39843,0.292415,0.195846,0.399669,0.061941,0.31746,0.213172,0.300752,0.219992,0.142141,0.349582,0,0,1,1,1,0 +0.316574,0.273137,0.124797,0.640525,0.31076,0.44322,0.379494,0.576854,0.437403,0.269037,0.491745,0.319558,0.720548,0.529294,0.363667,0.542464,0.27628,0.48301,0.082988,0.205697,0.151529,0.350855,0.37847,0.381253,0.348105,0.62623,0.496064,0.307465,0.435718,0.336832,0.405043,0.240981,0.10476,0.157553,0.103147,0.110163,0.196203,0.255727,0.282697,0.403709,0.281923,0.286727,0.271633,0.135664,0.201616,0.169266,0.196453,0.097456,0.321423,0.396806,0.906046,0.532661,0.167608,0.33382,0.301636,0.324802,0.350841,0.579706,0.265638,0.201691,0.284021,0.137296,0.147002,0.12424,0.052809,0.190476,0.022715,0.180451,0.141346,0.072158,0.138785,0,0,1,0,0,0 +0.13307,0.030432,0.0666,0.523645,0.487566,0.482967,0.519872,0.686425,0.606043,0.404647,0.79325,0.46443,0.928064,0.323421,0.414433,0.49258,0.148259,0.124067,0.032126,0.243276,0.16959,0.221298,0.298876,0.355103,0.334866,0.567973,0.389624,0.291832,0.405645,0.376507,0.411444,0.213668,0.194726,0.215274,0.134789,0.308984,0.205425,0.276697,0.410992,0.51433,0.521491,0.435552,0.266181,0.218408,0.241882,0.351537,0.230075,0.125771,0.758506,0.452697,0.933226,0.511778,0.588625,0.551655,0.504174,0.537892,0.615857,0.746006,0.447451,0.388695,0.400045,0.330155,0.121396,0.225807,0.095483,0.666667,0,0.631579,0.040306,0.228913,0.138656,0,0,0,1,1,0 +0.329743,0.201735,0.129484,0.859047,0.332437,0.444473,0.320043,0.486689,0.288622,0.613165,0.710011,0.454261,0.462514,0.61022,0.325637,0.392871,0.201782,0.235573,0.052699,0.072457,0.098909,0.211431,0.202184,0.20213,0.324677,0.382594,0.319384,0.176791,0.265608,0.326318,0.317929,0.274699,0.109065,0.210588,0.084654,0.034736,0.130209,0.091889,0.230679,0.217922,0.383101,0.132857,0.092326,0.088281,0.10305,0.156952,0.107961,0.089365,0.35508,0.314216,0.911055,0.463382,0.256002,0.237119,0.231479,0.182124,0.305683,0.371716,0.156126,0.090185,0.166704,0.195302,0.129844,0.143042,0.047864,0.365079,0.097743,0.345865,0.185367,0.128107,0.21844,1,1,0,0,0,0 +0.181485,0.116383,0.205042,0.700598,0.369435,0.334891,0.578157,0.505451,0.511138,0.544599,0.618482,0.311634,0.525734,0.49035,0.390327,0.429022,0.205151,0.25174,0.183292,0.289578,0.359512,0.424623,0.301355,0.28512,0.476847,0.47201,0.340567,0.313987,0.399652,0.410476,0.488845,0.350158,0.047266,0.096786,0.047904,0.139815,0.234834,0.182679,0.227459,0.213612,0.429608,0.169667,0.091127,0.160353,0.267041,0.19011,0.200419,0.130044,0.26507,0.286889,0.842713,0.350405,0.170896,0.34239,0.152831,0.192815,0.585838,0.362205,0.270864,0.232496,0.330616,0.225542,0.427732,0.476563,0.00938,0.793651,0,0.75188,0.029119,0.028147,0.033347,0,1,1,0,0,0 +0.409689,0.230473,0.246521,0.562449,0.360912,0.37128,0.668992,0.409052,0.414212,0.587309,0.584978,0.339813,0.631675,0.517074,0.460663,0.48095,0.412389,0.309683,0.143025,0.19191,0.457958,0.365639,0.773115,0.632464,0.753864,0.904018,0.672645,0.386637,0.706644,0.651739,0.805491,0.437685,0.183225,0.2094,0.373312,0.355269,0.364235,0.431192,0.724726,0.585376,0.478068,0.354564,0.251268,0.141853,0.264714,0.283818,0.291244,0.154379,0.622996,0.410968,0.881523,0.642096,0.904158,0.510304,1,1,1,0.913397,0.666105,0.30483,0.70232,0.519319,0.365587,0.279301,0.018281,0.047619,0.018545,0.045113,0.142738,0.143393,0.160591,1,1,0,0,0,1 +0.144597,0.049011,0.193995,0.542944,0.591764,0.599228,0.52919,0.72078,0.332062,0.561632,0.842397,0.363427,0.464336,0.598488,0.335976,0.178059,0.133211,0.149782,0.143894,0.182586,0.438773,0.352607,0.280026,0.249407,0.334679,0.573224,0.422547,0.259696,0.409547,0.38541,0.452856,0.2484,0.089601,0.162225,0.147763,0.18513,0.403412,0.266445,0.202484,0.333118,0.242181,0.187994,0.17667,0.160593,0.191339,0.125257,0.170377,0.119142,0.402802,0.336204,0.885966,0.462373,0.247764,0.225991,0.212113,0.200177,0.261642,0.487105,0.286833,0.163913,0.192092,0.164516,0.161507,0.209739,0.044703,0.793651,0,0.75188,0.077026,0.102478,0.164995,0,0,1,1,1,0 +0.516686,0.328051,0.063607,0.897952,0.161482,0.289939,0.475401,0.371982,0.363421,0.735787,0.755096,0.404628,0.480516,0.522603,0.360721,0.346934,0.1776,0.125458,0.036416,0.036639,0.03771,0.10335,0.073835,0.097968,0.111009,0.252443,0.232582,0.129765,0.231562,0.239514,0.264446,0.164401,0.260258,0.107655,0.1443,0.031401,0.163504,0.201386,0.205169,0.171993,0.139318,0.119904,0.099474,0.060181,0.149103,0.191581,0.147597,0.103957,0.268816,0.171722,0.931484,0.476819,0.300914,0.12544,0.176908,0.117569,0.184239,0.28864,0.200702,0.168141,0.184766,0.204683,0.090772,0.133213,0.040654,0.492063,0.085588,0.466165,0.198542,0.106528,0.241388,1,0,0,0,0,1 +0.408502,0.255534,0.173177,0.882902,0.37401,0.272715,0.66474,0.240516,0.553043,0.317357,0.688171,0.24638,0.709807,0.490807,0.335248,0.198084,0.206315,0.188456,0.074329,0.068134,0.152945,0.191162,0.256296,0.216868,0.275376,0.388908,0.275773,0.254185,0.2619,0.341383,0.343811,0.267876,0.146421,0.186372,0.123694,0.070899,0.174079,0.18576,0.278605,0.372374,0.267909,0.237698,0.09841,0.100752,0.154243,0.119643,0.123872,0.126091,0.413599,0.278435,0.912275,0.340974,0.14092,0.282539,0.222132,0.140277,0.271207,0.404568,0.124538,0.161845,0.115556,0.183493,0.148059,0.145824,0.229646,0.190476,0.317849,0.180451,0.309207,0.322999,0.335856,1,0,0,0,1,0 +0.120873,0.029119,0.097675,0.649449,0.481833,0.641275,0.485131,0.628745,0.389593,0.579396,0.537529,0.436114,0.553908,0.294423,0.406549,0.230001,0.093937,0.095556,0.061831,0.097744,0.208047,0.152542,0.278422,0.297869,0.252554,0.283854,0.27197,0.189152,0.331741,0.279299,0.250432,0.231755,0.056409,0.109823,0.108548,0.142295,0.181521,0.131681,0.348841,0.298451,0.290489,0.154893,0.092999,0.099877,0.165195,0.128135,0.083128,0.094269,0.393309,0.343971,0.910445,0.444071,0.285683,0.126301,0.485809,0.561571,0.401927,0.301912,0.239976,0.189521,0.304262,0.153077,0.061423,0.117443,0.074749,0.142857,0.361813,0.135338,0.173459,0.354806,0.310694,0,0,1,1,1,0 +0.25647,0.081065,0.093722,0.539091,0.686834,0.30152,0.356394,0.338236,0.400682,0.204653,0.431636,0.043666,0.524077,0.544179,0.389987,0.507604,0.072046,0.046582,0.051863,0.19678,0.264197,0.172875,0.151068,0.254755,0.379496,0.500937,0.414418,0.379428,0.682003,0.714414,0.972783,0.536604,0.058131,0.069048,0.16925,0.258341,0.412783,0.223196,0.238823,0.330055,0.446352,0.309991,0.285457,0.368608,0.457625,0.47545,0.670125,0.385391,0.332366,0.23907,0.916587,0.505895,0.46508,0.229347,0.128576,0.21849,0.464208,0.40385,0.375343,0.423272,0.805173,0.730515,0.5994,0.671108,0.033013,0.31746,0.007622,0.300752,0.167735,0.10863,0.172881,0,0,1,1,1,0 +0.223712,0.089983,0.068351,0.459437,0.475925,0.474477,0.449516,0.643102,0.483835,0.568355,0.521198,0.358477,0.477362,0.461675,0.474713,0.392341,0.099659,0.099954,0.05413,0.23347,0.174847,0.429608,0.16204,0.13837,0.097314,0.146461,0.237054,0.108311,0.291528,0.247543,0.27155,0.233397,0.044356,0.085306,0.14154,0.196333,0.218618,0.324422,0.326717,0.261401,0.141082,0.10434,0.114733,0.064061,0.142556,0.114522,0.168868,0.109467,0.31248,0.229121,0.911316,0.548199,0.423587,0.491441,0.21953,0.195278,0.281825,0.287494,0.259886,0.139998,0.268019,0.188597,0.150519,0.313735,0.024094,0.349206,0.066297,0.330827,0.145665,0.137039,0.246646,0,0,1,1,1,0 +0.337496,0.175587,0.09946,0.919006,0.387135,0.510412,0.498644,0.458052,0.248732,0.298511,0.364056,0.320318,0.687575,0.517743,0.325406,0.450104,0.116057,0.138958,0.052017,0.070256,0.083062,0.170349,0.196127,0.185509,0.20579,0.322772,0.212888,0.080105,0.209506,0.310046,0.270138,0.195493,0.050906,0.103089,0.116356,0.094073,0.163621,0.158314,0.371481,0.36905,0.262647,0.202574,0.143158,0.067767,0.130211,0.140202,0.239682,0.081773,0.281816,0.178421,0.933836,0.44194,0.275108,0.41333,0.391134,0.295467,0.575358,0.398601,0.169881,0.067971,0.213641,0.213872,0.107324,0.110944,0.095431,0.365079,0.145839,0.345865,0.230874,0.253384,0.410665,0,0,0,0,0,1 +0.386208,0.411543,0.17695,0.703095,0.248662,0.366488,0.457457,0.534735,0.290636,0.569571,0.505225,0.406434,0.437462,0.449974,0.296292,0.507563,0.401713,0.667718,0.146524,0.210326,0.187739,0.368335,0.226865,0.274647,0.294979,0.390867,0.30321,0.181886,0.292539,0.277417,0.319903,0.199335,0.197365,0.274049,0.11841,0.215508,0.112499,0.186005,0.139326,0.181426,0.198568,0.209257,0.125766,0.096467,0.152928,0.13467,0.152543,0.11334,0.512514,0.224386,0.883962,0.310434,0.208707,0.48107,0.146576,0.251895,0.34616,0.378935,0.207165,0.123845,0.132115,0.140439,0.123255,0.105788,0.640068,0.190476,0.726188,0.180451,0.5956,0.741572,0.69818,1,1,0,0,0,0 +0.533451,0.338617,0.084527,0.714889,0.219802,0.504995,0.407192,0.539864,0.362789,0.41747,0.595965,0.339051,0.353553,0.572361,0.169731,0.28444,0.23417,0.233392,0.054141,0.162937,0.168467,0.285862,0.130227,0.154409,0.195506,0.416455,0.270894,0.234857,0.411218,0.532853,0.771455,0.501503,0.18418,0.245151,0.134613,0.132335,0.199673,0.272224,0.204528,0.282145,0.254117,0.376706,0.205398,0.175775,0.463309,0.49695,0.501977,0.298653,0.282349,0.252094,0.931004,0.427753,0.194633,0.325296,0.151753,0.149232,0.359789,0.581856,0.224656,0.420786,0.687668,0.620032,0.629325,0.697133,0.039179,0.253968,0.019462,0.240602,0.11462,0.190994,0.192042,0,1,1,0,0,0 +0.203881,0.077081,0.063279,0.75311,0.62799,0.367965,0.377798,0.491824,0.383748,0.303945,0.521986,0.384901,0.512994,0.403343,0.235848,0.588616,0.071389,0.076842,0.05853,0.06717,0.194762,0.253878,0.24294,0.213529,0.326082,0.491296,0.356404,0.209869,0.33465,0.324506,0.432329,0.25369,0.086644,0.127712,0.127451,0.139076,0.252484,0.268325,0.314363,0.359044,0.442407,0.311901,0.237,0.141546,0.161989,0.250378,0.255707,0.167134,0.324269,0.239686,0.915672,0.420612,0.474483,0.536427,0.42047,0.312409,0.484995,0.643857,0.435951,0.160781,0.254303,0.29297,0.180663,0.26011,0.041243,0.428571,0,0.406015,0.194436,0.189832,0.212759,0,0,1,1,1,0 +0.372348,0.203077,0.127203,0.876787,0.385701,0.30678,0.498096,0.43744,0.366915,0.151382,0.552957,0.402696,0.752293,0.554983,0.323753,0.494947,0.145336,0.139396,0.061094,0.097913,0.10171,0.213699,0.23021,0.246766,0.234963,0.434218,0.272234,0.227599,0.284456,0.229012,0.288618,0.23588,0.041193,0.061825,0.11841,0.0891,0.199214,0.137364,0.169117,0.206683,0.272685,0.21795,0.140131,0.065075,0.18512,0.108063,0.133282,0.083601,0.252566,0.203953,0.913364,0.364517,0.277422,0.315295,0.216459,0.232824,0.370152,0.376748,0.163745,0.190041,0.179638,0.129617,0.07173,0.138868,0.140028,0.333333,0.410152,0.315789,0.337429,0.257142,0.523776,0,0,0,0,1,1 +0.209593,0.080507,0.049227,0.388451,0.672954,0.289984,0.536817,0.383074,0.451023,0.354188,0.504651,0.262147,0.443868,0.439095,0.30966,0.430336,0.048061,0.03611,0.033567,0.089153,0.054394,0.047319,0.0246,0.125162,0.168624,0.290709,0.240022,0.205582,0.301029,0.329622,0.299967,0.181832,0.092015,0.122328,0.124574,0.588859,0.405806,0.157868,0.237989,0.30791,0.254246,0.216255,0.234131,0.202864,0.209112,0.2118,0.18561,0.10301,0.298691,0.198808,0.936449,0.454501,0.270828,0.104694,0.07409,0.104356,0.146782,0.365216,0.217633,0.266907,0.194843,0.222806,0.097348,0.038749,0.025809,0.428571,0.015532,0.406015,0.147636,0.186571,0.187395,0,0,1,0,0,0 +0.283865,0.120736,0.101448,0.492656,0.443173,0.446386,0.529765,0.505457,0.51829,0.447331,0.427371,0.45339,0.218095,0.378715,0.301028,0.270743,0.140177,0.124434,0.058321,0.250977,0.211838,0.372569,0.140097,0.204764,0.246613,0.271713,0.261919,0.20195,0.498833,0.468445,0.614597,0.51983,0.06149,0.085607,0.180345,0.095479,0.239005,0.292639,0.196876,0.220392,0.216963,0.208475,0.161812,0.166122,0.309298,0.231075,0.30221,0.335419,0.311746,0.210682,0.903258,0.638156,0.433182,0.326764,0.164159,0.241187,0.281665,0.392847,0.266174,0.265478,0.539106,0.315764,0.39729,0.565866,0.040568,0.603175,0.048088,0.571429,0.262468,0.252049,0.386029,0,1,1,0,0,0 +0.324495,0.171271,0.154606,0.532165,0.492115,0.427016,0.58036,0.456599,0.386668,0.442034,0.581893,0.393359,0.342191,0.305505,0.187881,0.158635,0.103009,0.094057,0.040465,0.073459,0.073457,0.101693,0.124632,0.191061,0.180939,0.409585,0.411521,0.297464,0.481097,0.527035,0.536281,0.376044,0.183225,0.288689,0.104321,0.29371,0.455044,0.261397,0.264327,0.297631,0.328368,0.381554,0.301466,0.263898,0.35926,0.261298,0.329762,0.276259,0.295826,0.195376,0.912057,0.575021,0.254797,0.208867,0.195845,0.118623,0.158935,0.324134,0.333955,0.360858,0.571425,0.475763,0.283361,0.358342,0.019195,0.571429,0,0.541353,0.072185,0.195606,0.156448,1,1,0,0,0,0 +0.155358,0.089271,0.119533,0.730375,0.474642,0.398949,0.449314,0.417795,0.524946,0.714529,0.647406,0.529983,0.60039,0.472912,0.2335,0.545244,0.14302,0.241667,0.074384,0.171951,0.189569,0.238363,0.205777,0.263791,0.306044,0.515014,0.401071,0.251296,0.345648,0.413198,0.385869,0.199264,0.100671,0.14934,0.157156,0.075635,0.121913,0.173655,0.235158,0.21014,0.351098,0.226535,0.187556,0.224504,0.1899,0.175695,0.196048,0.134169,0.368667,0.419528,0.903127,0.479081,0.439643,0.400288,0.280699,0.261559,0.387603,0.633223,0.333504,0.173249,0.235255,0.284588,0.139944,0.145399,0.02265,0.190476,0,0.180451,0.095258,0,0.038272,0,0,0,1,1,0 +0.40124,0.167548,0.069232,0.208118,0.520416,0.20736,0.499454,0.371844,0.376732,0.360817,0.459541,0.221107,0.497125,0.573162,0.476199,0.699212,0.123197,0.064638,0.025987,0.111909,0.168256,0.183887,0.156781,0.2259,0.356415,0.537254,0.53641,0.519786,0.843006,0.734078,0.691259,0.526471,0.122493,0.134191,0.092873,0.306414,0.54225,0.28976,0.363546,0.288566,0.483501,0.50359,0.426655,0.527569,0.815047,0.666137,0.562002,0.41838,0.274178,0.202797,0.93462,0.675332,0.381459,0.26881,0.155099,0.164671,0.32137,0.545626,0.42857,0.644469,0.983771,0.626022,0.269259,0.310244,0.028604,0.015873,0.001545,0.015038,0.144425,0.012865,0.071215,0,0,1,1,0,0 +0.405753,0.210076,0.055926,0.460735,0.553954,0.103828,0.650743,0.193448,0.433543,0.737779,0,0.504458,0.719364,0.472333,0.463012,0.461528,0.093937,0.086242,0.029254,0.137561,0.064415,0.159988,0.142661,0.236209,0.16277,0.300265,0.395102,0.170706,0.246216,0.227521,0.241935,0.22123,0.074151,0.120826,0.048726,0.361774,0.241914,0.225961,0.378148,0.63212,0.288774,0.555423,0.404361,0.217934,0.366308,0.328853,0.195231,0.142203,0.262059,0.174057,0.938496,0.658827,0.255655,0.335431,0.273271,0.330845,0.218835,0.338976,0.46956,0.100194,0.223882,0.244834,0.086182,0.110719,0.011273,0.507937,0,0.481203,0.096179,0.082279,0.085109,0,0,1,0,0,0 +0.340682,0.195924,0.111897,0.681785,0.371236,0.405029,0.4463,0.424554,0.345531,0.608989,0.514827,0.43298,0.791165,0.488991,0.332338,0.682758,0.188957,0.198989,0.063679,0.109169,0.164175,0.288331,0.423317,0.289995,0.324418,0.390236,0.349574,0.201905,0.381198,0.261591,0.340493,0.255124,0.034839,0.081364,0.130328,0.054465,0.056745,0.135246,0.266016,0.205052,0.166022,0.115504,0.085729,0.070839,0.084222,0.095008,0.114143,0.064469,0.275537,0.185895,0.912013,0.537084,0.286497,0.283401,0.423617,0.219355,0.418662,0.213712,0.211523,0.11144,0.146771,0.081718,0.070828,0.103701,0.121675,0.253968,0.070289,0.75188,0.317436,0.271671,0.370146,0,1,0,0,0,1 +0.423171,0.241909,0.130366,0.813023,0.368869,0.385173,0.543333,0.422676,0.366416,0.427686,0.549965,0.379032,0.458441,0.436259,0.361961,0.512758,0.189143,0.180427,0.053756,0.088753,0.125369,0.400516,0.371282,0.335982,0.290557,0.402573,0.383879,0.205331,0.319087,0.309907,0.30584,0.237284,0.080917,0.10552,0.185394,0.106796,0.134854,0.216603,0.237353,0.227295,0.230589,0.109875,0.112275,0.063694,0.100537,0.089558,0.080323,0.045503,0.303612,0.241804,0.928478,0.410377,0.333069,0.502005,0.442226,0.360932,0.230847,0.416035,0.231254,0.174234,0.121444,0.126162,0.084121,0.091458,0.086748,0.761905,0.133854,0.721805,0.1209,0.244752,0.379869,0,0,0,0,0,1 +0.816026,0.495866,0.308535,0.73138,0.238104,0.523616,0.490547,0.333013,0.346508,0.642918,0.409399,0.521283,0.43207,0.505893,0.366534,0.325925,0.820976,0.567652,0.176526,0.36498,0.50869,0.725691,0.862806,1,0.590185,0.848177,0.921132,0.341662,0.741191,0.473263,0.544777,0.377029,0.350664,0.218134,0.204473,0.247913,0.215978,0.391294,0.357714,0.501431,0.247478,0.268902,0.169481,0.088424,0.187429,0.122318,0.111803,0.095575,0.747434,0.24834,0.859265,0.388195,0.469802,0.565512,0.574738,0.915514,0.340495,0.456643,0.452763,0.182403,0.411368,0.180379,0.145508,0.133777,0.267675,0.190476,0.005024,0.661654,0.479878,0.001451,0.250882,1,0,0,0,0,1 +0.393135,0.326733,0.275314,0.586298,0.306196,0.24921,0.414415,0.396469,0.318347,0.689409,0.509601,0.606027,0.748763,0.541514,0.427969,0.567447,0.372737,0.46598,0.196352,0.320068,0.377263,0.461439,0.551426,0.405595,0.508431,0.610864,0.695018,0.361245,0.52229,0.378792,0.493855,0.285695,0.226374,0.261885,0.197957,0.241889,0.349435,0.288089,0.437075,0.367356,0.238538,0.239511,0.19755,0.131327,0.246028,0.125013,0.158265,0.133069,0.368667,0.517969,0.820629,0.398195,0.295252,0.313165,0.436117,0.340503,0.316529,0.448283,0.419255,0.192571,0.313705,0.162685,0.254087,0.147822,0.066215,0.269841,0.23403,0.255639,0.150122,0.28924,0.231309,0,0,1,0,1,0 +0.243873,0.141306,0.119612,0.780447,0.456269,0.426691,0.5284,0.321135,0.463121,0.461721,0.365487,0.380758,0.433199,0.63264,0.303548,0.54522,0.144011,0.1768,0.080413,0.135376,0.193407,0.163614,0.259789,0.336142,0.328756,0.389007,0.450498,0.227417,0.344274,0.327214,0.433444,0.246064,0.048324,0.132736,0.182517,0.124132,0.191422,0.138541,0.3676,0.409113,0.424364,0.272008,0.258618,0.124129,0.268937,0.37885,0.199111,0.150247,0.33558,0.281375,0.925908,0.471179,0.265722,0.272453,0.402288,0.471627,0.577442,0.385159,0.492794,0.221784,0.252834,0.224164,0.211009,0.143958,0.236328,0.380952,0.526438,0.360902,0.427513,0.024335,0.525943,0,0,1,0,1,0 +0.155569,0.048443,0.156199,0.503511,0.667886,0.585293,0.385699,0.59259,0.604335,0.348523,0.48965,0.345615,0.647841,0.555107,0.213105,0.645966,0.09917,0.103037,0.11156,0.19167,0.347812,0.359129,0.300523,0.314551,0.332912,0.490463,0.425471,0.211422,0.327529,0.331629,0.471325,0.361475,0.076088,0.121737,0.125279,0.291577,0.34764,0.261784,0.314737,0.331202,0.390661,0.198864,0.230659,0.097858,0.205263,0.160191,0.268691,0.211654,0.420117,0.344963,0.897334,0.476224,0.403816,0.500806,0.440091,0.521643,0.466327,0.516775,0.276731,0.197233,0.200899,0.158795,0.235911,0.257355,0.020825,0.206349,0.036445,0.195489,0.138763,0.127559,0.144635,0,0,0,1,1,0 +0.199961,0.060774,0.1386,0.521855,0.470127,0.75461,0.727331,0.610686,0.499292,0.282518,0.54454,0.388304,0.601661,0.170524,0.26017,0.513659,0.169878,0.158425,0.110823,0.266803,0.37749,0.450318,0.504899,0.454095,0.429,0.632806,0.59919,0.299474,0.355182,0.529022,0.482345,0.203123,0.080645,0.109033,0.116708,0.212568,0.310523,0.296608,0.539751,0.6222,0.343286,0.290562,0.286788,0.204338,0.311193,0.273665,0.273757,0.094286,0.572336,0.354608,0.880477,0.553342,0.453093,0.644035,0.506875,0.61776,0.701867,0.670899,0.560191,0.321728,0.314821,0.350308,0.206442,0.152198,0.05848,0.698413,0.00342,0.661654,0.098714,0.161542,0.233632,0,0,0,1,1,0 +0.126839,0.047499,0.009082,0.211848,0.574258,0.738314,0.419708,0.531319,0.522231,0.52227,0.461181,0.275919,0.57878,0.578563,0.553151,0.450292,0.062893,0.122583,0.044085,0.182543,0.106542,0.24179,0.117947,0.164951,0.160914,0.227035,0.297362,0.236915,0.185416,0.344199,0.31174,0.283968,0.059356,0.177244,0.10391,0.335205,0.272593,0.484848,0.436604,0.333748,0.366401,0.231333,0.272563,0.253518,0.263481,0.424074,0.491705,0.238847,0.344816,0.564216,0.9307,0.716008,0.453364,0.587571,0.464405,0.287605,0.43261,0.455419,0.41577,0.400545,0.364688,0.496635,0.307108,0.426594,0.108163,0.079365,0.004261,0.075188,0.253083,0.004988,0.124713,0,0,1,1,1,0 +0.190226,0.093747,0.188302,0.721248,0.399125,0.528681,0.476363,0.635667,0.277846,0.598843,0.563864,0.472907,0.573511,0.545788,0.475183,0.488969,0.233018,0.265775,0.135049,0.250589,0.28833,0.3254,0.382286,0.325679,0.258458,0.314872,0.395572,0.153105,0.307917,0.273011,0.314741,0.148001,0.067151,0.103843,0.066866,0.032138,0.159894,0.171301,0.123797,0.187843,0.147491,0.108452,0.117135,0.039492,0.071562,0.058721,0.075156,0.047642,0.409651,0.271413,0.881131,0.544378,0.334092,0.292885,0.167092,0.219963,0.404567,0.153728,0.231939,0.066177,0.059686,0.09972,0.092448,0.04162,0.297456,0.761905,0.272051,0.721805,0.258927,0.326097,0.467334,1,0,0,0,0,1 +0.662515,0.317453,0.228583,0.792425,0.361913,0,0.68288,0.406889,0.077886,0.587026,0.47611,0.379739,0.121452,0.494029,0.464461,0.317513,0.24715,0.154419,0.133377,0.083108,0.195875,0.449832,0.379452,0.361117,0.273919,0.369489,0.256926,0.134922,0.367839,0.234904,0.370924,0.204718,0.203869,0.102059,0.097804,0.07251,0.13054,0.188913,0.282283,0.301071,0.186684,0.111721,0.118109,0.05455,0.150121,0.129643,0.154643,0.091416,0.261325,0.257791,0.883091,0.388526,0.185847,0.350952,0.227465,0.202012,0.200525,0.216286,0.132038,0.060631,0.2358,0.06119,0.149442,0.058347,0.328437,0.507937,0.361957,0.481203,0.607982,0.206025,0.720728,1,0,0,0,0,1 +0.409544,0.269046,0.11044,0.809396,0.303087,0.489655,0.50601,0.432816,0.376424,0.505229,0.544003,0.316533,0.497461,0.562506,0.619556,0.429902,0.158892,0.157971,0.054438,0.066166,0.04112,0.120726,0.12878,0.191687,0.246035,0.315573,0.270329,0.235522,0.28197,0.347882,0.42335,0.314276,0.035672,0.08453,0.153223,0.076059,0.041024,0.142857,0.175527,0.194558,0.296759,0.253773,0.225389,0.108334,0.148028,0.188799,0.145941,0.228468,0.250216,0.132128,0.91907,0.382304,0.141858,0.265343,0.268323,0.249194,0.229384,0.288571,0.131035,0.150309,0.172162,0.149905,0.142542,0.153197,0.335805,0.190476,0.369242,0.180451,0.646747,0.46736,0.611967,0,1,0,0,0,0 +0.180599,0.046299,0.089192,0.396184,0.633888,0.732228,0.364313,0.602471,0.357085,0.4859,0.442477,0.398751,0.309408,0.414374,0.295436,0.374225,0.076566,0.089453,0.095409,0.210323,0.335592,0.352645,0.19148,0.221301,0.276893,0.440663,0.476572,0.364147,0.801717,0.632515,0.814902,0.576279,0.043757,0.091915,0.07033,0.426365,0.380441,0.635485,0.196087,0.286445,0.355037,0.259971,0.147571,0.193671,0.36514,0.296222,0.360908,0.254394,0.334404,0.303374,0.913059,0.480241,0.353634,0.351934,0.21021,0.201467,0.378116,0.512628,0.345134,0.375347,0.852589,0.614998,0.456024,0.625452,0.028396,0.142857,0.138787,0.135338,0.208461,0.233668,0.260406,0,1,1,0,0,0 +0.084525,0.843998,0.345811,0.535694,0.277824,0.716941,0.332003,0.47009,0.391437,0.465921,0.532316,0.331287,0.623139,0.586702,0.264371,0.461584,0.150563,0.956094,0.256026,0.19163,0.156582,0.11234,0.012298,0.069001,0.03556,0.190881,0.167517,0.091177,0.198955,0.153793,0.171167,0.076397,0.062473,0.318377,0.139721,0.166099,0.281679,0.061448,0.161423,0.095771,0.050786,0.153473,0.098135,0.009431,0.012126,0.039958,0.051582,0.020695,0.356971,0.007099,0.800157,0.563153,0.244175,0.15733,0.009471,0.038957,0,0.158663,0.038716,0.032211,0.089075,0.011374,0.041785,0.025176,0.77055,0.253968,0.743363,0.240602,0.711251,0.782596,0.781389,0,0,0,0,0,1 +0.102634,0.018241,0.122165,0.572586,0.684425,0.569782,0.562231,0.557352,0.613415,0.50805,0.467461,0.402098,0.804489,0.735406,0.257715,0.528039,0.049318,0.051272,0.093605,0.164227,0.294802,0.261643,0.308895,0.377948,0.317915,0.479665,0.374737,0.116812,0.368869,0.453084,0.375622,0.308688,0.037562,0.156624,0.135494,0.196951,0.339565,0.170607,0.331077,0.541531,0.404044,0.289676,0.186003,0.091691,0.258114,0.32778,0.178133,0.173294,0.371495,0.323591,0.898249,0.466212,0.466899,0.275273,0.343882,0.578488,0.564352,0.749639,0.434702,0.139082,0.353212,0.248979,0.190514,0.243622,0.059587,0,0.032846,0.390977,0.214006,0.097482,0.278973,0,0,1,1,1,0 +0.355341,0.140755,0.099765,0.609026,0.522577,0.316059,0.350246,0.500732,0.227998,0.352632,0.471961,0.488851,0.367638,0.657174,0.116092,0.198574,0.118385,0.084528,0.061479,0.17425,0.199671,0.224821,0.217331,0.224153,0.236478,0.529294,0.401745,0.349959,0.620555,0.602543,0.645255,0.491088,0.171144,0.129833,0.140601,0.361035,0.397609,0.313824,0.285471,0.405147,0.625976,0.439431,0.237902,0.276501,0.529504,0.392761,0.322013,0.284887,0.299444,0.218402,0.910532,0.469222,0.492058,0.304261,0.196423,0.215922,0.343563,0.462679,0.359374,0.514225,0.894014,0.807576,0.409071,0.550925,0.047794,0.142857,0.042998,0.135338,0.101578,0.116429,0.127032,0,0,0,1,1,0 +0.683102,0.414486,0.352544,0.091576,0.290111,0.723944,0.434932,0.828654,0.440524,0.792625,0.677717,0.596907,0.822066,0.584899,0.400952,0.671749,0.83938,0.677133,0.207827,0.419321,0.517548,0.514616,0.537896,0.462393,0.648592,0.802843,0.527222,0.389738,0.604904,0.569234,0.537901,0.292959,0.217774,0.212464,0.074146,0.257386,0.202586,0.142689,0.297937,0.25919,0.27496,0.243879,0.11898,0.123152,0.130056,0.131084,0.093735,0.060863,0.371954,0.054683,0.814008,0.590054,0.184877,0.240068,0.284955,0.259411,0.644504,0.578887,0.271956,0.21314,0.31965,0.317631,0.101634,0.120911,0.14489,0.349206,0.297031,0.330827,0.214927,0.006119,0.302358,0,0,1,0,0,0 +0.089957,0.014203,0.079534,0.498023,0.704533,0.624402,0.428793,0.486269,0.228773,0.578278,0.806567,0.379366,0.719781,0.519058,0.212223,0.303271,0.038159,0.038938,0.07774,0.146108,0.211619,0.200675,0.143046,0.150912,0.181457,0.419742,0.287446,0.189586,0.458497,0.263872,0.245272,0.104524,0.056708,0.088278,0.218328,0.191904,0.258028,0.362582,0.389448,0.354467,0.364115,0.624748,0.176012,0.174429,0.292843,0.153043,0.201107,0.093232,0.380584,0.283915,0.908921,0.725557,0.502289,0.37178,0.287563,0.358362,0.451835,0.600625,0.293901,0.240935,0.482174,0.193224,0.121981,0.107095,0.031548,0.460317,0.008926,0.43609,0.119112,0.203475,0.18295,0,0,0,1,1,0 +0.386581,0.229555,0.311393,0.625824,0.289581,0.804005,0.390353,0.69911,0.277078,0.58221,0.542259,0.375263,0.6541,0.522018,0.433683,0.499686,0.534236,0.46498,0.204053,0.371766,0.383565,0.511696,0.66623,0.581844,0.554323,0.756669,0.640916,0.334184,0.469293,0.368776,0.474041,0.28149,0.128913,0.158731,0.101327,0.052329,0.163691,0.161076,0.268859,0.36689,0.205767,0.183036,0.124613,0.096715,0.105075,0.089255,0.091222,0.06066,0.448266,0.12754,0.867802,0.447923,0.319175,0.356414,0.334307,0.473796,0.439444,0.419023,0.313851,0.151822,0.126864,0.150961,0.131723,0.124094,0.091127,0.380952,0,0.932331,0.207608,0.147339,0.177103,1,1,0,0,0,1 +0.707112,0.421341,0.19491,0.562849,0.209525,0.481234,0.463674,0.4505,0.190541,0.330334,0.351135,0.203765,0.513848,0.547505,0.38001,0.373202,0.277271,0.245701,0.085969,0.216265,0.192917,0.418845,0.151066,0.204809,0.225372,0.371906,0.372498,0.349616,0.577121,0.666471,0.841333,0.772229,0.103244,0.158819,0.158683,0.15896,0.195652,0.212157,0.180242,0.18112,0.271121,0.140206,0.083652,0.199183,0.229064,0.302261,0.286357,0.214308,0.294357,0.234993,0.898728,0.543592,0.276422,0.384141,0.122673,0.182152,0.215863,0.23505,0.176669,0.303364,0.422484,0.471142,0.423557,0.788432,0.050964,0.253968,0.0081,0.240602,0.235611,0.155413,0.204888,1,1,0,0,0,0 +0.234214,0.097773,0.119363,0.533474,0.555567,0.378176,0.566619,0.484827,0.649068,0.637311,0.490795,0.343596,0.503039,0.554512,0.052132,0.318603,0.130114,0.114803,0.094287,0.290147,0.255396,0.332063,0.414593,0.355234,0.35303,0.469966,0.433469,0.181108,0.312667,0.526961,0.395426,0.260625,0.186098,0.248894,0.163379,0.442111,0.363055,0.294213,0.471723,0.808149,0.454178,0.415322,0.2987,0.131625,0.207154,0.482023,0.227862,0.169781,0.324636,0.231708,0.896724,0.443672,0.357019,0.595938,0.638928,0.718781,0.640116,0.713229,0.375887,0.171274,0.301435,0.436028,0.231538,0.227278,0.058221,0.666667,0,0.631579,0.12137,0.269654,0.249598,0,0,0,1,1,0 +0.245709,0.105288,0.088334,0.227264,0.717774,0.190478,0.49218,0.488289,0.440717,0.30594,0.57217,0.454489,0.55995,0.489724,0.38516,0.396287,0.087013,0.055179,0.031895,0.192432,0.12585,0.135227,0.089325,0.151855,0.220534,0.347054,0.320502,0.263261,0.382552,0.321614,0.379743,0.209633,0.080954,0.084706,0.105201,0.469865,0.463469,0.225457,0.147681,0.190399,0.291362,0.281233,0.19258,0.159303,0.206934,0.218911,0.255604,0.12709,0.33042,0.225014,0.931048,0.701239,0.445598,0.184858,0.142523,0.099872,0.218801,0.471485,0.293278,0.305818,0.455175,0.158697,0.139798,0.115192,0.038405,0.253968,0.081715,0.240602,0.139449,0.190871,0.203469,0,1,1,0,0,0 +0.096452,0.013144,0.097653,0.537552,0.556963,0.715443,0.421425,0.698718,0.534145,0.777011,0.529389,0.207879,0.829167,0.434122,0.355846,0.582826,0.069618,0.064819,0.044371,0.176258,0.205895,0.180705,0.312316,0.309635,0.281776,0.459604,0.475985,0.266914,0.370146,0.305631,0.351496,0.239607,0.090939,0.105751,0.074146,0.353767,0.375355,0.406164,0.638098,0.593399,0.361064,0.457144,0.436903,0.295385,0.362867,0.293662,0.290547,0.235503,0.40989,0.30074,0.925255,0.638505,0.557194,0.419614,0.489658,0.564348,0.502338,0.728494,0.568973,0.413288,0.445432,0.248453,0.181152,0.182585,0.023747,0.111111,0.003865,0.548872,0.080757,0.04805,0.091179,0,0,0,1,1,0 +0.135661,0.051104,0.051035,0.469335,0.421903,0.748829,0.494134,0.568127,0.570114,0.512497,0.465355,0.189415,0.218267,0.220472,0.322587,0.448425,0.121606,0.180418,0.052787,0.213119,0.250913,0.216097,0.065193,0.126374,0.102565,0.162919,0.197357,0.211554,0.277767,0.283614,0.46126,0.236489,0.05843,0.109388,0.118234,0.228818,0.219449,0.294347,0.092323,0.348294,0.27302,0.138697,0.171728,0.192949,0.243936,0.246335,0.285989,0.12471,0.35396,0.397839,0.917458,0.593818,0.328384,0.411817,0.185899,0.232035,0.364871,0.333102,0.27319,0.323109,0.387411,0.244673,0.317313,0.208758,0.026522,0,0.010308,0,0.11038,0.011687,0.052514,0,0,1,0,0,0 +0.096533,0,0.081872,0.392341,0.662405,0.760049,0.781022,0.477613,0.642746,0.57901,0.68856,0.398475,0.671012,0.141527,0.388713,0.547255,0.044624,0.029591,0.078367,0.154478,0.193635,0.171347,0.263297,0.265798,0.328488,0.39519,0.26676,0.16606,0.285881,0.205169,0.381302,0.259623,0.028176,0.043783,0.099918,0.281307,0.425244,0.220069,0.508566,0.654436,0.626769,0.494752,0.270866,0.219138,0.313862,0.245573,0.278107,0.225639,0.43723,0.272821,0.909835,0.6397,0.47543,0.406041,0.497986,0.560857,0.720384,0.742301,0.406439,0.280339,0.425265,0.219089,0.282413,0.311953,0.014697,0.698413,0,0.661654,0.035931,0.079686,0.049143,0,0,0,1,1,0 +0.417054,0.277746,0.084007,0.891965,0.326918,0.340634,0.397942,0.550035,0.305085,0.521561,0.455056,0.375494,0.568947,0.480902,0.380256,0.415827,0.241038,0.290238,0.049542,0.093567,0.116866,0.195826,0.218945,0.206823,0.251366,0.359745,0.41408,0.223106,0.267801,0.243025,0.296347,0.211426,0.065869,0.186889,0.077081,0.05798,0.173697,0.153854,0.18144,0.206104,0.20127,0.133456,0.197034,0.201474,0.098611,0.085022,0.121784,0.09396,0.33143,0.290134,0.932181,0.548013,0.396584,0.304866,0.266326,0.1123,0.256538,0.259748,0.240222,0.187566,0.166935,0.091143,0.105484,0.073632,0.278436,0.460317,0.256143,0.43609,0.512495,0.075458,0.477747,1,1,0,0,0,0 +0.624887,0.41805,0.083522,0.808179,0.24643,0.521957,0.316828,0.312939,0.288735,0.505425,0.586456,0.399516,0.567646,0.543773,0.365725,0.586584,0.232739,0.200433,0.030926,0.064812,0.076062,0.143916,0.251659,0.182692,0.189539,0.253,0.242359,0.146014,0.249917,0.226355,0.25995,0.2082,0.308526,0.481124,0.06716,0.103402,0.266183,0.123957,0.290582,0.141719,0.250182,0.13932,0.08182,0.058504,0.079022,0.066727,0.10713,0.046711,0.255375,0.152168,0.951564,0.383849,0.093015,0.238478,0.307977,0.17524,0.154789,0.307575,0.228771,0.093808,0.13256,0.096328,0.049609,0.071657,0.141249,0.507937,0.188422,0.481203,0.285259,0.252239,0.503981,1,0,0,0,0,1 +0.535136,0.287642,0.088989,0.698117,0.238637,0.327306,0.398642,0.532217,0.248025,0.441269,0.752004,0.485689,0.769842,0.573437,0.244287,0.266211,0.283922,0.261431,0.06544,0.149346,0.101436,0.221209,0.194606,0.309862,0.212298,0.440635,0.372671,0.262637,0.430625,0.464674,0.476555,0.325453,0.234459,0.231037,0.081719,0.173643,0.153366,0.296519,0.426848,0.598364,0.231717,0.30043,0.267829,0.251445,0.255101,0.371602,0.343855,0.177075,0.292209,0.271677,0.916021,0.429085,0.136498,0.219049,0.203907,0.244418,0.24983,0.466808,0.28422,0.274508,0.302643,0.383851,0.311181,0.290961,0.026947,0.555556,0.023671,0.526316,0.087502,0.015128,0.161317,0,1,1,0,0,0 +0.320818,0.145049,0.059925,0.590309,0.52516,0.255485,0.265389,0.646111,0.384324,0.609218,0.389597,0.244474,0.510816,0.410607,0.267611,0.310709,0.137508,0.142695,0.098049,0.188011,0.225051,0.350607,0.31352,0.182394,0.111277,0.252782,0.195671,0.149626,0.319649,0.370678,0.43862,0.399837,0.118731,0.090547,0.087531,0.207571,0.376554,0.31126,0.304175,0.272679,0.243111,0.302557,0.230824,0.152693,0.49928,0.483101,0.337675,0.311227,0.302253,0.30737,0.894547,0.430975,0.240569,0.327667,0.261192,0.225211,0.223396,0.453356,0.293562,0.261207,0.535765,0.649797,0.415269,0.666921,0.023154,0.285714,0.079619,0.270677,0.114514,0.114256,0.196949,0,0,1,0,0,0 +0.441966,0.251355,0.151139,0.668506,0.28407,0.403979,0.386333,0.380889,0.302259,0.537905,0.497967,0.363537,0.584379,0.433702,0.432734,0.490549,0.338411,0.290408,0.069829,0.196668,0.247282,0.320931,0.514836,0.307488,0.332353,0.482466,0.404052,0.197949,0.375187,0.329047,0.374159,0.264364,0.103712,0.095811,0.03311,0.235999,0.132927,0.178914,0.439902,0.468858,0.390575,0.372937,0.18267,0.075548,0.167,0.155423,0.180746,0.140068,0.348488,0.227777,0.925647,0.377127,0.316168,0.332077,0.437801,0.353665,0.374643,0.343851,0.225196,0.132122,0.307081,0.237023,0.12228,0.147392,0.280526,0.507937,0,0.481203,0.437716,0.08384,0.27515,0,1,1,0,0,0 +0.163268,0.046434,0.041478,0.382621,0.887891,0.571242,0.243065,0.555321,0.477599,0.54382,0.59204,0.393385,0.624329,0.275322,0.199283,0.235012,0.081025,0.046945,0.045471,0.175547,0.240107,0.16817,0.201188,0.206179,0.160301,0.361149,0.198223,0.158928,0.217398,0.216909,0.185295,0.128737,0.098126,0.100538,0.159152,0.27077,0.482825,0.381068,0.585149,0.510351,0.354841,0.379451,0.222363,0.158153,0.202152,0.213058,0.195557,0.126174,0.472926,0.275661,0.924863,0.688956,1,0.581291,0.527898,0.46473,0.492083,0.789446,0.405105,0.279568,0.329692,0.254395,0.124045,0.158351,0.009218,0.349206,0.009948,0.330827,0.035498,0.055775,0.056592,0,0,1,1,1,0 +0.435968,0.634589,0.228685,0.710449,0.150487,0.383037,0.22816,0.708179,0.560605,0.751535,0.691127,0.576015,0.655469,0.597794,0.308284,0.444817,0.499724,0.756207,0.172147,0.246738,0.263397,0.454889,0.496038,0.364692,0.151209,0.222975,0.151609,0.087995,0.181305,0.159903,0.258459,0.153069,0.229958,0.284826,0.085124,0.022046,0.223997,0.169658,0.137726,0.1396,0.11431,0.069853,0.035446,0.024078,0.00712,0.034773,0.048231,0.021814,0.346376,0.148965,0.850423,0.522761,0.480726,0.195568,0.143871,0.125174,0.122613,0.165987,0.076578,0.053474,0.046618,0.044984,0.037259,0.046723,0.673453,0.190476,0.741196,0.180451,0.645902,0.746494,0.727501,1,0,0,0,0,1 +0.092468,0.020593,0.14409,0.523414,0.732877,0.427167,0.524562,0.661858,0.624883,0.350604,0.428895,0.529549,0.873161,0.550911,0.339827,0.578907,0.042271,0.051395,0.147085,0.218109,0.296935,0.2533,0.230257,0.394229,0.138799,0.233982,0.21443,0.169232,0.358186,0.294244,0.286576,0.187732,0.048062,0.214622,0.211636,0.350248,0.454667,0.21284,0.201601,0.514725,0.253874,0.150442,0.13441,0.146424,0.240265,0.164628,0.192321,0.093197,0.35956,0.331587,0.869588,0.450159,0.351892,0.236856,0.410567,0.461636,0.483455,0.356525,0.188329,0.11271,0.300775,0.216983,0.145982,0.116794,0.06165,0.730159,0,0.691729,0.059922,0.167836,0.218578,0,0,1,1,1,0 +0.40307,0.209865,0.118358,0.455786,0.449254,0.332466,0.537611,0.330827,0.408063,0.421327,0.662874,0.342182,0.398902,0.500223,0.224825,0.17849,0.137676,0.107996,0.028154,0.162305,0.144166,0.109118,0.117994,0.203258,0.228553,0.377411,0.437842,0.326705,0.491252,0.536954,0.511419,0.316003,0.17005,0.191982,0.043149,0.493022,0.369978,0.133239,0.253294,0.348299,0.197967,0.320748,0.336922,0.290876,0.321156,0.483995,0.323592,0.257333,0.321257,0.20522,0.928522,0.638862,0.486461,0.186762,0.122475,0.116197,0.214888,0.203709,0.342994,0.324176,0.321503,0.313734,0.246277,0.225976,0.043337,0.301587,0.233707,0.285714,0.162016,0.302033,0.458896,1,1,1,0,0,0 +0.24464,0.107254,0.075185,0.695821,0.356349,0.623063,0.451012,0.598674,0.504689,0.452537,0.413678,0.391148,0.567377,0.586682,0.513499,0.33002,0.14598,0.166286,0.0426,0.094821,0.117087,0.26888,0.171134,0.143031,0.203533,0.290973,0.311252,0.151772,0.250869,0.289965,0.401116,0.339753,0.102196,0.183511,0.088588,0.102799,0.135895,0.257515,0.268373,0.277025,0.247105,0.193461,0.144411,0.09791,0.145395,0.182127,0.167662,0.146631,0.295533,0.204041,0.932268,0.525851,0.180933,0.314534,0.145088,0.177728,0.282049,0.340168,0.538458,0.118869,0.228385,0.269583,0.215633,0.448383,0.046681,0.301587,0,0.285714,0.206932,0.130552,0.168964,0,1,1,0,0,0 +0.256437,0.324236,0.215909,0.719694,0.265803,0.411198,0.418562,0.497219,0.448591,0.601074,0.526382,0.392724,0.800774,0.440283,0.524656,0.585035,0.287303,0.611225,0.159253,0.304604,0.236915,0.361043,0.346586,0.451002,0.335906,0.555907,0.508887,0.316347,0.437421,0.440697,0.394527,0.324913,0.118086,0.295852,0.16696,0.172296,0.20085,0.448748,0.433046,0.242874,0.205577,0.18028,0.117872,0.086296,0.141053,0.119086,0.131079,0.082965,0.289418,0.440231,0.865232,0.343088,0.157065,0.289117,0.291157,0.407636,0.376412,0.461832,0.359307,0.178978,0.226349,0.233719,0.060781,0.158225,0.066479,0.174603,0.023741,0.639098,0.16019,0,0.126293,0,0,0,0,0,1 +0.281959,0.110373,0.269418,0.661092,0.540599,0.330202,0.372555,0.49553,0.190787,0.203206,0.57396,0.416278,0.592342,0.126493,0.205997,0.388469,0.110174,0.096668,0.262826,0.251267,0.192339,0.119965,0.093776,0.128877,0.170699,0.361435,0.219307,0.124051,0.346531,0.265345,0.231979,0.225745,0.116429,0.158241,0.09892,0.125803,0.38789,0.145716,0.323244,0.239063,0.389268,0.306578,0.140178,0.055492,0.093175,0.141439,0.076006,0.051917,0.294614,0.27004,0.82272,0.387631,0.318704,0.179179,0.032952,0.079055,0.098923,0.160122,0.136638,0.054298,0.208137,0.253818,0.139604,0.090722,0.223591,0.666667,0.308154,0.631579,0.119346,0.39933,0.601022,0,0,0,0,0,1 +0.118227,0.023569,0.110575,0.433619,0.662522,0.636165,0.593637,0.701123,0.521675,0.658869,0.614033,0.30168,0.352595,0.270432,0,0.473691,0.067649,0.071804,0.055472,0.169576,0.279235,0.333021,0.319747,0.307858,0.287123,0.588462,0.53077,0.209669,0.439931,0.436133,0.43015,0.373968,0.024742,0.080287,0.116473,0.231368,0.300176,0.269453,0.404596,0.49395,0.24953,0.319547,0.329162,0.155771,0.277785,0.223173,0.296916,0.257463,0.387892,0.346594,0.91001,0.577296,0.550535,0.512601,0.375755,0.479012,0.346276,0.662032,0.531186,0.19419,0.33711,0.246,0.18182,0.287885,0.01943,0.253968,0.044178,0.240602,0.053161,0.088852,0.090665,0,0,0,1,1,0 +0.471527,0.273781,0.121453,0.807595,0.35256,0.432307,0.398422,0.389296,0.069644,0.581405,0.540623,0.398411,0.688174,0.462876,0.432314,0.528828,0.231427,0.245129,0.058145,0.099678,0.133628,0.273194,0.375839,0.316583,0.344351,0.571807,0.477729,0.240459,0.45437,0.445114,0.485792,0.290428,0.012015,0.100044,0.066925,0.037827,0.103487,0.201603,0.302283,0.289908,0.282573,0.211808,0.226048,0.141577,0.268005,0.15393,0.219501,0.098544,0.35407,0.281997,0.917153,0.464785,0.25826,0.265578,0.285859,0.301447,0.407721,0.319401,0.284492,0.100812,0.241154,0.177825,0.14408,0.135452,0.315306,0.619048,0.119179,0.586466,0.05701,0.53881,0.486456,0,1,0,0,0,1 +0.491796,0.294328,0.080155,0.815661,0.31014,0.382095,0.425071,0.404959,0.32644,0.429637,0.494317,0.374194,0.634896,0.488844,0.354874,0.208137,0.161059,0.151862,0.036504,0.067828,0.040325,0.16135,0.086724,0.194473,0.135802,0.222924,0.197328,0.163005,0.269245,0.218903,0.287259,0.160549,0.14149,0.155903,0.145532,0.064641,0.106457,0.219563,0.208015,0.399816,0.194505,0.174974,0.17201,0.151707,0.27589,0.229217,0.184146,0.095657,0.263785,0.167914,0.935883,0.399276,0.194343,0.246058,0.307041,0.221437,0.308332,0.30688,0.181027,0.146252,0.202786,0.074086,0.106099,0.140133,0.167969,0.698413,0.022153,0.661654,0.161636,0.367744,0.337701,1,1,0,0,0,0 +0.214329,0.104862,0.296674,0.087206,0.425015,0.650364,0.465021,0.71412,0.422019,0.898221,0.645579,0.562184,0.626439,0.534501,0.569824,0.78983,0.328825,0.345639,0.16614,0.271711,0.3202,0.51154,0.510393,0.36334,0.542705,0.60586,0.616972,0.250901,0.417275,0.415023,0.427294,0.317149,0.069453,0.11419,0.066866,0.346987,0.235782,0.236155,0.252793,0.274988,0.4055,0.226748,0.193683,0.119135,0.136361,0.137076,0.140982,0.092643,0.349443,0.159003,0.850945,0.643788,0.116503,0.330846,0.350429,0.186356,0.583625,0.495507,0.390761,0.188258,0.203822,0.168901,0.181166,0.143032,0.142792,0.333333,0,0.315789,0.29754,0.004244,0.14792,0,0,1,0,0,0 +0.12759,0.033828,0.09397,0.572594,0.660666,0.449599,0.713787,0.669711,0.129399,0.61768,0.555475,0.370466,0.386562,0.464199,0.314024,0.439641,0.07121,0.080504,0.085606,0.171677,0.211806,0.318786,0.538704,0.445711,0.539124,0.625592,0.66489,0.315729,0.370168,0.34254,0.468598,0.293394,0.038966,0.084156,0.297464,0.177673,0.331487,0.189302,0.604017,0.557474,0.451292,0.268243,0.319292,0.158276,0.335614,0.147509,0.228073,0.153264,0.369604,0.344963,0.916935,0.651147,0.496774,0.53683,0.567934,0.625559,0.929845,0.660301,0.699602,0.24853,0.33319,0.331684,0.256666,0.224413,0.156541,0.111111,0.023816,0.105263,0.235657,0.065307,0.151028,0,0,1,1,0,0 +0.241794,0.099545,0.079489,0.624585,0.568262,0.616085,0.477997,0.626959,0.533366,0.161608,0.596332,0.485004,0.454521,0,0.25774,0.428323,0.204594,0.20485,0.062711,0.131884,0.318587,0.333718,0.242908,0.335646,0.30624,0.529483,0.383094,0.227108,0.401054,0.299166,0.32053,0.24888,0.262897,0.228597,0.157685,0.26265,0.471531,0.443909,0.325542,0.458398,0.395707,0.380821,0.276166,0.201512,0.359919,0.403354,0.203444,0.102116,0.76104,0.482523,0.911534,0.546215,0.611653,0.470476,0.349625,0.459024,0.446265,0.598194,0.326015,0.242171,0.326681,0.240831,0.13452,0.157323,0.020684,0.253968,0.019785,0.240602,0.101516,0.077408,0.099606,0,0,0,1,1,0 +0.288341,0.108492,0.116957,0.146274,0.624752,0.367397,0.573438,0.34808,0.695917,0.593521,0.272697,0.349568,0.060788,0.446393,0.270855,0.290212,0.095788,0.103121,0.044657,0.094039,0.098399,0.210814,0.33757,0.394461,0.413852,0.521261,0.608467,0.477697,0.635416,0.602052,0.669887,0.453926,0.073505,0.117055,0.178819,0.429206,0.381598,0.411214,0.507556,0.972275,0.519655,0.501785,0.481048,0.321784,0.589792,0.594626,0.515305,0.417453,0.33613,0.276746,0.919723,0.650615,0.37369,0.366413,0.513234,0.483394,0.495612,0.645621,0.721998,0.394354,0.612072,0.55355,0.318481,0.416762,0.026162,0.761905,0.011013,0.721805,0.133304,0.178383,0.178719,0,0,1,1,0,0 +0.443165,0.228062,0.035695,0.548145,0.292699,0.47477,0.530103,0.450296,0.45583,0.205688,0.454598,0.521151,0.919105,0.871747,0.42119,0.317004,0.164038,0.146637,0.02921,0.180779,0.146874,0.319725,0.151092,0.175988,0.182394,0.36378,0.371116,0.272647,0.508151,0.709752,0.789383,0.470348,0.18752,0.23162,0.106669,0.297592,0.321267,0.465503,0.290493,0.321441,0.43269,0.393509,0.390997,0.411126,0.513584,0.862765,0.770469,0.359465,0.295863,0.275643,0.928783,0.682696,0.365486,0.655923,0.259484,0.257617,0.462634,0.523497,0.329135,0.345632,0.662564,1,0.64505,0.494945,0.021017,0.190476,0.007763,0.661654,0.076465,0.111323,0.129278,0,0,1,0,1,0 +0.537182,0.540447,0.134748,0.787345,0.129166,0.656119,0.393123,0.494864,0.473522,0.439378,0.260844,0.374693,0.77992,0.257166,0.196042,0.227873,0.517832,0.600146,0.063723,0.218574,0.309776,0.428087,0.544099,0.443358,0.367601,0.51533,0.579351,0.356388,0.576462,0.346802,0.474396,0.243968,0.209174,0.282755,0.064107,0.074965,0.1567,0.170407,0.317019,0.357309,0.336602,0.172807,0.296544,0.149368,0.417378,0.160817,0.198769,0.084952,0.441545,0.170443,0.918852,0.351719,0.263131,0.371861,0.490371,0.279473,0.302564,0.419212,0.236562,0.297646,0.284758,0.218875,0.125961,0.159767,0.015151,0.555556,0.152111,0.526316,0.140028,0,0.246085,0,0,0,0,0,1 +0.508199,0.225967,0.071164,0.659336,0.396559,0.207432,0.366926,0.248784,0.226975,0.049292,0.44322,0.395611,0.426339,0.444923,0.346468,0.373139,0.101281,0.082855,0.011211,0.061408,0.057038,0.078146,0.097921,0.167651,0.231828,0.442013,0.357558,0.220931,0.425627,0.47986,0.464831,0.221909,0.136287,0.175128,0.112364,0.179771,0.322307,0.254472,0.459992,0.606035,0.483558,0.537955,0.394176,0.290085,0.521951,0.53294,0.462624,0.163264,0.296873,0.236225,0.954613,0.481873,0.192087,0.204824,0.191191,0.196256,0.486893,0.569694,0.283855,0.24974,0.332987,0.354494,0.241111,0.106795,0.018492,0.238095,0.090919,0.225564,0.137595,0.154367,0.186805,0,0,0,0,0,1 +0.268391,0.180672,0.225206,0.528044,0.396136,0.314774,0.445251,0.722933,0.427675,0.467561,0.659212,0.488244,0.572284,0.796214,0.269296,0.503486,0.325809,0.382282,0.206309,0.311038,0.321575,0.410469,0.692858,0.532097,0.5525,0.61678,0.496301,0.281346,0.503571,0.529559,0.389874,0.312047,0.153514,0.233514,0.143243,0.221312,0.216752,0.249107,0.530619,0.527838,0.458887,0.229996,0.216247,0.105171,0.201285,0.187782,0.136736,0.107989,0.371862,0.387461,0.847722,0.400071,0.287861,0.362624,0.515618,0.361979,0.411134,0.353712,0.356645,0.162724,0.224895,0.308416,0.155774,0.103168,0.002621,0.063492,0.003437,0.481203,0.013321,0.009578,0.081526,0,1,1,0,0,0 +0.16059,0.0941,0.104374,0.705922,0.435163,0.366448,0.331545,0.506115,0.479597,0.558435,0.520667,0.313328,0.642739,0.418676,0.344974,0.486397,0.098668,0.235907,0.033325,0.05937,0.116129,0.149824,0.156646,0.172885,0.227532,0.284524,0.276298,0.164553,0.290861,0.317274,0.385195,0.262845,0.08174,0.115715,0.072385,0.109711,0.235391,0.202343,0.241854,0.216987,0.300987,0.284502,0.206268,0.156409,0.213728,0.249954,0.244096,0.159766,0.343236,0.362299,0.928565,0.51527,0.258205,0.264398,0.217405,0.199736,0.272294,0.35763,0.281596,0.136749,0.284455,0.249742,0.173308,0.311759,0.060446,0.031746,0.245911,0.030075,0.064353,0.271688,0.2099,0,0,0,0,1,0 +0.320856,0.484057,0.282193,0.684992,0.198043,0.728,0.383369,0.82804,0.627397,0.644455,0.63288,0.500037,0.457406,0.397454,0.246528,0.198595,0.495179,0.809033,0.241867,0.299457,0.239687,0.34321,0.170258,0.159554,0.097607,0.285533,0.162354,0.242558,0.434296,0.267112,0.286955,0.229516,0.102327,0.21813,0.110368,0.08979,0.158504,0.09327,0.033486,0.133191,0.121029,0.055722,0.01991,0.01799,0.031496,0.068934,0.127038,0.038832,0.194286,0.106356,0.84023,0.340462,0.194411,0.116955,0.031478,0.1162,0.077925,0.102287,0.027525,0.05218,0.05877,0.016755,0.033678,0.023303,0.283808,0.285714,0.289031,0.270677,0.328186,0.283433,0.390702,1,0,0,0,0,1 +0.137999,0.022546,0.069786,0.487701,0.546736,0.907693,0.682125,0.502735,0.822139,0.728857,0.43023,0.196864,0.253369,0.641606,0.352784,0.576123,0.068993,0.059503,0.077729,0.195613,0.167911,0.162151,0.310562,0.348826,0.419709,0.422652,0.667282,0.243563,0.324618,0.377809,0.335699,0.225139,0.081328,0.182961,0.190149,0.399615,0.332139,0.108321,0.328068,0.68675,0.6028,0.327068,0.647447,0.201142,0.211993,0.303347,0.189056,0.233436,0.431924,0.380497,0.897857,0.534177,0.350668,0.348555,0.59373,0.822487,0.675524,0.598646,1,0.262338,0.438022,0.332043,0.180667,0.309946,0.043088,0.222222,0.19204,0.210526,0.219069,0.301947,0.2791,0,0,1,1,1,0 +0.399917,0.358394,0.151093,0.813162,0.234127,0.556538,0.360651,0.53534,0.311273,0.675585,0.532089,0.405578,0.544812,0.585291,0.369926,0.286161,0.349738,0.465625,0.094155,0.171513,0.199971,0.148834,0.272598,0.202176,0.264862,0.431236,0.32813,0.189825,0.301642,0.27871,0.340389,0.25873,0.191928,0.361961,0.109252,0.072295,0.146618,0.08983,0.213979,0.249663,0.145727,0.164091,0.153527,0.07597,0.164386,0.13163,0.191498,0.148367,0.314353,0.278893,0.915759,0.42708,0.284356,0.156056,0.473276,0.173892,0.380157,0.306069,0.321366,0.128594,0.271881,0.173674,0.175825,0.213215,0.057412,0.698413,0,0.661654,0.075947,0.138382,0.155062,1,0,0,0,0,1 +0.508625,0.294587,0.222867,0.848358,0.353994,0.174329,0.536793,0.414545,0.039998,0.419841,0.351346,0.208295,0.363293,0.362416,0.499236,0.556693,0.299243,0.254982,0.14681,0.130052,0.315724,0.398478,0.462671,0.360932,0.564504,0.46635,0.357607,0.199563,0.34981,0.351203,0.415048,0.1995,0.247017,0.263119,0.206469,0.088666,0.178492,0.272302,0.317378,0.258412,0.203242,0.279659,0.178513,0.163449,0.239861,0.237716,0.246003,0.219773,0.499385,0.301151,0.868325,0.399164,0.310357,0.249226,0.388463,0.334865,0.437127,0.305945,0.20444,0.131594,0.310974,0.147768,0.099817,0.138205,0.543838,0.365079,0.780698,0.345865,0.58706,0,0.716881,1,0,0,0,1,0 +0.156621,0.033199,0.11611,0.401838,1,0.602263,0.188781,0.668436,0.309866,0.534015,0.405857,0.236937,0.280116,0.458852,0.308435,0.376188,0.021402,0.009356,0.109073,0.16488,0.225783,0.195162,0.28861,0.215808,0.218572,0.31735,0.246613,0.163028,0.305358,0.288815,0.211502,0.182559,0.044,0.080209,0.164318,0.343655,0.3926,0.516085,0.433448,0.270214,0.449151,0.366098,0.23687,0.122483,0.23087,0.223802,0.230514,0.155215,0.33558,0.229297,0.893414,0.590815,0.604355,0.426731,0.434409,0.230857,0.390386,0.548586,0.250041,0.178375,0.491,0.280871,0.150066,0.207654,0.049586,0.079365,0.005281,0.075188,0.268335,0.020171,0.141406,0,0,1,1,1,0 +0.323669,0.166863,0.074191,0.548308,0.413283,0.517229,0.332321,0.524367,0.351423,0.507598,0.46202,0.485504,0.408957,0.457985,0.357427,0.296912,0.1452,0.140734,0.039123,0.125008,0.151969,0.184531,0.090394,0.146264,0.103374,0.254578,0.24264,0.184058,0.272614,0.307645,0.460759,0.333664,0.18344,0.267491,0.165082,0.327038,0.338808,0.377761,0.176316,0.450666,0.225869,0.169791,0.183371,0.222502,0.267422,0.262107,0.348194,0.241465,0.340427,0.289066,0.925342,0.619911,0.644526,0.341166,0.137835,0.176032,0.077951,0.22454,0.199397,0.237612,0.318162,0.346001,0.363204,0.439812,0.010947,0.444444,0.024461,0.421053,0.049662,0.108362,0.091007,0,1,1,0,0,0 +0.66597,0.364217,0.098726,0.801719,0.259697,0.278368,0.461714,0.36873,0.14543,0.413004,0.499971,0.414724,0.712089,0.411767,0.347979,0.361461,0.171283,0.124408,0.056319,0.068327,0.08036,0.143112,0.318048,0.18567,0.227598,0.327734,0.262789,0.191358,0.292019,0.168696,0.278607,0.224871,0.077651,0.13293,0.0853,0.022388,0.126049,0.150214,0.258695,0.218585,0.211511,0.117443,0.083868,0.086509,0.143374,0.087343,0.102886,0.083268,0.280219,0.226645,0.925429,0.593824,0.155553,0.258986,0.276552,0.249773,0.226006,0.277836,0.160976,0.112227,0.141577,0.092625,0.085444,0.083698,0.070288,0.603175,0.095853,0.571429,0.185173,0.172159,0.34442,1,0,0,0,0,1 +0.40172,0.20456,0.173821,0.416559,0.473626,0.232453,0.623029,0.128845,0.514726,0.107634,0.340658,0.437125,0.189901,0.53591,0.431281,0.438349,0.156309,0.159111,0.064361,0.182659,0.159238,0.195718,0.341339,0.344786,0.524497,0.647705,0.592051,0.450237,0.932385,1,1,0.545212,0.103759,0.135716,0.103675,0.32052,0.201401,0.18192,0.414142,0.499265,0.544075,0.568489,0.59592,0.343941,0.600205,0.767868,0.577601,0.303015,0.30128,0.287359,0.905959,0.716329,0.33495,0.304003,0.477567,0.298918,0.846613,0.614671,0.632586,0.493094,0.939608,0.827757,0.471875,0.362282,0.055533,0.047619,0,0.458647,0.14766,0.03185,0.095281,0,1,1,0,0,0 +0.138847,0.017303,0.084369,0.553377,0.680466,0.580777,0.649262,0.613003,0.427062,0.285626,0.698423,0.51942,0.725401,0.240679,0.134906,0.364625,0.047157,0.033731,0.099722,0.173308,0.146809,0.200896,0.483238,0.315922,0.34926,0.544534,0.445802,0.291191,0.558695,0.482385,0.359351,0.249494,0.069425,0.07861,0.121815,0.283609,0.23795,0.274942,0.835789,0.541464,0.323757,0.385101,0.296608,0.318633,0.317419,0.357638,0.273924,0.180115,0.352307,0.257069,0.893458,0.581551,0.426835,0.392177,0.786466,0.531,0.452659,0.570205,0.465981,0.391843,0.635454,0.33012,0.149408,0.212134,0.016739,0.555556,0.015466,0.526316,0.168089,0.10006,0.174493,0,0,0,1,1,0 +0.26844,0.124615,0.064477,0.509988,0.528312,0.363158,0.567126,0.356138,0.412201,0.356005,0.566577,0.345331,0.439797,0.451558,0.333116,0.307064,0.07552,0.08024,0.040454,0.084366,0.080555,0.08525,0.0628,0.149947,0.176592,0.241289,0.302145,0.163957,0.329339,0.303916,0.341385,0.211494,0.050897,0.076623,0.119115,0.486063,0.258279,0.236377,0.351687,0.217893,0.238108,0.124328,0.202345,0.155826,0.252173,0.225531,0.261761,0.124101,0.320174,0.207678,0.920115,0.578612,0.324027,0.179488,0.131116,0.167372,0.219892,0.186873,0.176565,0.198511,0.211267,0.205484,0.117476,0.129701,0.043551,0.111111,0.084671,0.105263,0.164553,0.295608,0.23962,1,1,0,0,0,0 +0.523052,0.287381,0.158944,0.933247,0.290662,0.338507,0.3765,0.352129,0.202457,0.526003,0.551659,0.386398,0.62044,0.490524,0.365778,0.382087,0.379147,0.303635,0.107148,0.219157,0.288296,0.526986,0.743176,0.359085,0.48074,0.543749,0.389494,0.276073,0.353492,0.350879,0.401607,0.283344,0.136745,0.121506,0.102618,0.140243,0.220989,0.170761,0.53743,0.16037,0.369655,0.153685,0.151429,0.09892,0.099476,0.102624,0.122945,0.112997,0.32201,0.194519,0.908529,0.518198,0.308736,0.483605,0.708627,0.401717,0.890144,0.594254,0.338476,0.197304,0.201812,0.094844,0.084356,0.147776,0.097276,0.190476,0.06693,0.180451,0.369462,0.10945,0.24977,0,0,0,0,0,1 +0.231601,0.122423,0.133754,0.774025,0.343127,0.557581,0.610461,0.481952,0.270746,0.450701,0.770993,0.285587,0.94104,0.419071,0.327225,0.471441,0.122113,0.189979,0.091899,0.058362,0.093396,0.18865,0.42603,0.279546,0.200436,0.372293,0.276976,0.180764,0.24405,0.152098,0.253372,0.171232,0.050747,0.102184,0.068745,0.095299,0.046885,0.070365,0.302665,0.1906,0.138648,0.10883,0.139664,0.059349,0.11714,0.035274,0.076186,0.053959,0.298617,0.237692,0.900558,0.375272,0.141581,0.169649,0.249056,0.237941,0.191068,0.246089,0.15616,0.104465,0.074361,0.02845,0.067056,0.058783,0.085365,0.222222,0.144591,0.210526,0.242803,0.153749,0.208696,1,0,0,0,0,1 +0.285912,0.145666,0.245391,0.801454,0.370871,0.589518,0.494517,0.566453,0.404233,0.332309,0.608351,0.369151,0.671802,0.357194,0.300719,0.644634,0.260315,0.275576,0.134763,0.288962,0.345673,0.39195,0.565606,0.496846,0.650371,0.581854,0.595445,0.445037,0.48117,0.388861,0.419424,0.306281,0.089236,0.156984,0.190795,0.091251,0.232838,0.139571,0.50201,0.325077,0.514468,0.170497,0.129882,0.134644,0.193978,0.138119,0.174025,0.143835,0.442372,0.233585,0.875381,0.377185,0.318177,0.375988,0.280265,0.350857,0.53228,0.419939,0.343456,0.351955,0.224596,0.175165,0.153166,0.099925,0.075693,0.412698,0.002603,0.390977,0.208602,0.195962,0.215573,0,0,0,0,1,1 +0.418069,0.261398,0.084504,0.758538,0.258378,0.572787,0.489518,0.636672,0.444531,0.428851,0.489507,0.318713,0.466291,0.34747,0.27953,0.420729,0.193113,0.220567,0.04425,0.147749,0.169087,0.166797,0.06097,0.09832,0.10442,0.301724,0.281444,0.170924,0.362704,0.267373,0.511267,0.343058,0.157969,0.235358,0.154456,0.139624,0.204152,0.127212,0.099633,0.098119,0.122513,0.189141,0.104393,0.08164,0.20389,0.133318,0.288504,0.158117,0.297222,0.166442,0.916108,0.365808,0.207872,0.108024,0.194072,0.110315,0.196172,0.330832,0.143635,0.090407,0.457204,0.140155,0.314832,0.441041,0.081042,0.968254,0,0.917293,0.118929,0.200624,0.162495,0,1,0,0,0,0 +0.137546,0.017685,0.147196,0.489365,0.728105,0.652071,0.538656,0.535043,0.5386,0.720673,0.397432,0.409376,0.367262,0.688621,0.144727,0.607947,0.053913,0.041758,0.067629,0.137254,0.270407,0.218645,0.276294,0.300412,0.330436,0.47401,0.501989,0.242422,0.409091,0.46829,0.483235,0.317187,0.061584,0.106144,0.091464,0.259188,0.488019,0.265201,0.292017,0.499607,0.376573,0.444821,0.35526,0.13702,0.294512,0.258373,0.358404,0.174894,0.363159,0.319772,0.904739,0.522554,0.453269,0.255517,0.197164,0.252299,0.393738,0.485687,0.397795,0.252951,0.378662,0.309876,0.234055,0.183931,0.009706,0.619048,0.020973,0.586466,0.0729,0.063343,0.143942,0,0,0,1,1,0 diff --git a/bin/test/Music.arff b/bin/test/Music.arff new file mode 100644 index 00000000..7cf6d1ef --- /dev/null +++ b/bin/test/Music.arff @@ -0,0 +1,675 @@ +% 'Music' dataset; normalised version. +@relation 'Music: -C 6' + +@attribute amazed-suprised {0,1} +@attribute happy-pleased {0,1} +@attribute relaxing-clam {0,1} +@attribute quiet-still {0,1} +@attribute sad-lonely {0,1} +@attribute angry-aggresive {0,1} +@attribute Mean_Acc1298_Mean_Mem40_Centroid numeric +@attribute Mean_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Mean_Mem40_Flux numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Mean_Acc1298_Std_Mem40_Centroid numeric +@attribute Mean_Acc1298_Std_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Std_Mem40_Flux numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Mean_Mem40_Centroid numeric +@attribute Std_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Std_Acc1298_Mean_Mem40_Flux numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Std_Mem40_Centroid numeric +@attribute Std_Acc1298_Std_Mem40_Rolloff numeric +@attribute Std_Acc1298_Std_Mem40_Flux numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute BH_LowPeakAmp numeric +@attribute BH_LowPeakBPM numeric +@attribute BH_HighPeakAmp numeric +@attribute BH_HighPeakBPM numeric +@attribute BHSUM1 numeric +@attribute BHSUM2 numeric +@attribute BHSUM3 numeric + +@data + +0,1,1,0,0,0,0.132498,0.077848,0.229227,0.602629,0.512861,0.467404,0.529733,0.573498,0.592831,0.520031,0.598853,0.537699,0.780658,0.462982,0.407108,0.684364,0.135824,0.245631,0.157515,0.301285,0.350107,0.459476,0.583274,0.430053,0.416198,0.581916,0.342758,0.309345,0.388929,0.323521,0.455207,0.26139,0.027559,0.149077,0.195433,0.571354,0.326404,0.246745,0.524645,0.354798,0.240244,0.239788,0.128689,0.173252,0.204863,0.131632,0.245653,0.144607,0.258203,0.470051,0.259909,0.61364,0.458314,0.434716,0.448941,0.370609,0.285647,0.663082,0.29708,0.273671,0.286411,0.197026,0.196244,0.164323,0.030017,0.253968,0.008473,0.240602,0.136735,0.058442,0.107594 +1,0,0,0,0,1,0.384281,0.355249,0.16719,0.853089,0.260577,0.332757,0.15393,0.519381,0.268043,0.251955,0.459922,0.430814,0.654323,0.641021,0.356511,0.647367,0.367659,0.539078,0.100569,0.133502,0.337194,0.319752,0.349012,0.171182,0.191357,0.390569,0.289253,0.208641,0.341328,0.265669,0.273736,0.181791,0.028513,0.252827,0.25819,0.011351,0.236247,0.069285,0.192754,0.154258,0.128671,0.116726,0.059704,0.073697,0.080341,0.062701,0.075672,0.041256,0.207782,0.300735,0.888274,0.444,0.294673,0.210429,0.132036,0.167474,0.205996,0.155514,0.086631,0.071462,0.067492,0.093526,0.085649,0.025101,0.182955,0.285714,0.156764,0.270677,0.191377,0.153728,0.197951 +0,1,0,0,0,1,0.541782,0.356491,0.152246,0.791142,0.228276,0.471278,0.378166,0.559905,0.279949,0.55583,0.521424,0.477018,0.541562,0.383692,0.301562,0.209283,0.46956,0.435643,0.117424,0.233075,0.214409,0.270485,0.448359,0.446847,0.272785,0.62605,0.457692,0.257535,0.486894,0.433737,0.42917,0.250437,0.173474,0.240775,0.16608,0.134165,0.149816,0.312213,0.351309,0.550984,0.24148,0.351404,0.324881,0.102732,0.214608,0.182897,0.131488,0.092507,0.539964,0.291858,0.894329,0.316151,0.345686,0.218272,0.254165,0.392987,0.24341,0.529933,0.27259,0.153845,0.314687,0.198082,0.108067,0.140574,0.099303,0.142857,0,0.593985,0.105114,0.025555,0.122965 +0,0,1,0,0,0,0.174288,0.243935,0.254326,0.438987,0.480346,0.472862,0.473128,0.777076,0.376471,0.650178,0.518224,0.374862,0.717025,0.54805,0.385528,0.545977,0.266415,0.581436,0.213768,0.371697,0.267091,0.518605,0.521327,0.375596,0.516414,0.768118,0.668286,0.48251,0.515023,0.425579,0.448576,0.305121,0.095215,0.406613,0.200305,0.234013,0.173066,0.391382,0.352153,0.333506,0.491522,0.243034,0.189499,0.161029,0.185126,0.252305,0.203846,0.112363,0.440058,0.608967,0.854473,0.47891,0.378549,0.407442,0.393774,0.28408,0.622807,0.461229,0.444935,0.355792,0.298915,0.235793,0.220195,0.235834,0.024988,0.222222,0.117169,0.210526,0.057288,0.134575,0.091509 +0,0,0,1,0,0,0.347436,0.155448,0.100047,0.126026,0.45695,0.539992,0.301537,0.598898,0.36199,0.484839,0.646532,0.520983,0.887006,0.55065,0.373552,0.373699,0.178554,0.150008,0.045284,0.227232,0.18327,0.309233,0.188338,0.302628,0.275626,0.39999,0.478468,0.478095,0.644428,0.705417,0.737404,0.418726,0.340997,0.548333,0.273571,0.535455,0.514268,0.43888,0.367572,0.526058,0.485215,0.456886,0.424624,0.335312,0.485055,0.385908,0.523032,0.340229,0.503828,0.422766,0.918634,0.686384,0.474845,0.366783,0.218394,0.370754,0.481513,0.54268,0.695774,0.783841,0.827826,0.715683,0.573359,0.412368,0.016398,0.761905,0.081703,0.721805,0.108737,0.172882,0.189934 +0,1,1,0,0,0,0.228026,0.109648,0.291862,0.684646,0.544746,0.571375,0.697535,0.484926,0.392855,0.156092,0.47165,0.115674,0.456398,0.268197,0.373789,0.350682,0.335532,0.363227,0.233747,0.275718,0.353079,0.446552,0.443244,0.40885,0.506339,0.567963,0.520552,0.314016,0.400658,0.317602,0.429856,0.266929,0.066131,0.14416,0.129917,0.221325,0.214393,0.334304,0.34572,0.351928,0.381297,0.445787,0.347102,0.249739,0.361601,0.248958,0.233641,0.172891,0.520372,0.348735,0.818843,0.601903,0.359844,0.5236,0.457277,0.314221,0.409973,0.339989,0.347784,0.240174,0.445214,0.141451,0.177711,0.104971,0.1351,0.190476,0.030557,0.180451,0.224878,0.136787,0.179813 +1,1,0,0,0,0,0.290836,0.165289,0.08124,0.710225,0.332875,0.553721,0.535008,0.493221,0.429454,0.573115,0.376511,0.421671,0.33932,0.667374,0.531376,0.359131,0.184783,0.227313,0.050323,0.157977,0.121726,0.335899,0.161888,0.223291,0.173682,0.250552,0.280799,0.14616,0.240121,0.25059,0.392957,0.250815,0.086999,0.159678,0.13837,0.13039,0.088702,0.244132,0.184728,0.223147,0.14272,0.155659,0.105153,0.072708,0.112107,0.136645,0.18976,0.082971,0.281376,0.211844,0.919767,0.403809,0.197824,0.234787,0.216919,0.177096,0.214987,0.282145,0.113921,0.121426,0.121325,0.129027,0.141215,0.213387,0.103267,0.126984,0.203222,0.120301,0.420933,0.237673,0.337537 +0,0,0,0,0,1,0.187613,0.081515,0.304717,0.717048,0.374497,0.513272,0.450436,0.775525,0.580572,0.68887,0.650924,0.261941,0.565849,0.67063,0.481361,0.651704,0.188326,0.247096,0.201391,0.307273,0.326252,0.454876,0.625292,0.682752,0.589456,1,0.595022,0.429585,0.453096,0.334753,0.578032,0.262885,0.101682,0.110955,0.212575,0.095188,0.146704,0.128869,0.254222,0.360815,0.224237,0.20875,0.130517,0.113968,0.122499,0.064759,0.136119,0.069751,0.493197,0.310749,0.843018,0.38899,0.288377,0.317931,0.376866,0.591947,0.28368,0.42341,0.41867,0.194071,0.294834,0.136965,0.110777,0.104363,0.021772,0.015873,0.033895,0.015038,0.132063,0.048698,0.085231 +1,1,0,0,0,0,0.384173,0.39966,0.297172,0.534706,0.196999,0.586783,0.458346,0.654032,0.50683,0.684306,0.670198,0.533105,0.837555,0.640836,0.446854,0.581114,0.497501,0.683232,0.227333,0.356448,0.315684,0.457349,0.36233,0.380779,0.478171,0.4235,0.259095,0.240067,0.376902,0.32364,0.378493,0.248244,0.073159,0.160427,0.196431,0.111981,0.076993,0.157529,0.241754,0.143545,0.177264,0.052576,0.041879,0.04831,0.087681,0.080024,0.115514,0.062976,0.205835,0.086486,0.839359,0.436338,0.125652,0.20377,0.262428,0.221062,0.324308,0.173767,0.161386,0.0943,0.206844,0.069663,0.099462,0.187613,0.487483,0.222222,0.655785,0.210526,0.630079,0.669823,0.678337 +0,0,1,1,1,0,0.159915,0.028334,0.030533,0.372589,0.929686,0.574935,0.323464,0.613698,0.246038,0.23502,0.490703,0.382993,0.363976,0.326837,0.397673,0.512111,0.019922,0.004052,0.029837,0.120147,0.101768,0.134431,0.05249,0.146403,0.02953,0.246712,0.170197,0.119387,0.153447,0.232032,0.228103,0.130665,0.039883,0.091494,0.151755,0.33258,0.367183,0.44326,0.245016,0.433106,0.23823,0.325614,0.257048,0.247743,0.170624,0.232715,0.234859,0.143339,0.356016,0.26977,0.949255,0.612597,0.636548,0.35951,0.262303,0.266203,0.383492,0.561914,0.377058,0.336158,0.427401,0.465477,0.186844,0.135857,0.014226,0.761905,0,0.721805,0.047226,0.076644,0.061252 +0,1,1,0,0,0,0.327076,0.320403,0.195328,0.645573,0.310363,0.521021,0.524004,0.46213,0.257523,0.618649,0.461708,0.494466,0.546751,0.415389,0.453843,0.380831,0.34461,0.474984,0.129746,0.304593,0.176417,0.513664,0.560061,0.49544,0.362039,0.499642,0.439594,0.224951,0.381015,0.253052,0.298783,0.182509,0.177021,0.590147,0.207937,0.215773,0.238673,0.29366,0.668734,0.367411,0.440071,0.220401,0.235775,0.154782,0.202196,0.166708,0.236267,0.081749,0.497071,0.565624,0.89655,0.57434,0.586017,0.582015,0.464527,0.550782,0.396111,0.699786,0.358416,0.190878,0.29552,0.223903,0.123214,0.090412,0.048491,0.460317,0.230324,0.43609,0.16363,0,0.234917 +0,0,1,0,0,0,0.358559,0.205397,0.165055,0.599622,0.342423,0.409525,0.536237,0.511132,0.224877,0.527332,0.829975,0.563493,0.221654,0.273335,0.389333,0.422619,0.260891,0.255638,0.113408,0.233339,0.209443,0.464667,0.521765,0.375699,0.403645,0.432632,0.508297,0.375466,0.415389,0.280459,0.343659,0.260406,0.10928,0.119574,0.146589,0.182269,0.205488,0.388645,0.566144,0.31619,0.316983,0.174037,0.175634,0.13535,0.180161,0.16372,0.255521,0.092723,0.355649,0.292521,0.899599,0.523575,0.236644,0.572918,0.392491,0.289061,0.426562,0.411998,0.383268,0.236672,0.257509,0.118168,0.111609,0.087698,0.201462,0.285714,0.302842,0.270677,0.318752,0.321139,0.384624 +1,0,0,0,0,0,0.553228,0.466543,0.263013,0.604399,0.223839,0.643928,0.373406,0.573937,0.377607,0.549677,0.70413,0.52666,0.815017,0.562355,0.379723,0.453283,0.46546,0.589481,0.148152,0.230786,0.147453,0.417158,0.30475,0.347393,0.397362,0.327574,0.190395,0.175117,0.27828,0.166923,0.292213,0.180362,0.32609,0.256765,0.100329,0.128852,0.204245,0.11529,0.10091,0.256227,0.175242,0.099481,0.050009,0.024596,0.041263,0.020148,0.047026,0.023183,0.319458,0.118922,0.892194,0.420592,0.207561,0.126471,0.099577,0.091672,0.085631,0.132975,0.062767,0.063357,0.062874,0.01585,0.029182,0.046207,0.738147,0.253968,0.776078,0.240602,0.687162,0.787161,0.784246 +0,0,1,0,1,0,0.117628,0.038582,0.195802,0.570704,0.620466,0.512225,0.603206,0.773365,0.788284,0.531317,0.703141,0.205166,0.643069,0.536043,0.385671,0.317748,0.084821,0.097482,0.169771,0.29652,0.481354,0.476942,0.244901,0.392883,0.293353,0.514005,0.446779,0.311777,0.437502,0.298906,0.318858,0.313859,0.138093,0.20525,0.125338,0.263223,0.359982,0.262294,0.295828,0.642855,0.274976,0.226622,0.195689,0.149072,0.164013,0.143921,0.167687,0.117939,0.386405,0.298634,0.860702,0.455254,0.468468,0.62923,0.283605,0.470348,0.378681,0.43747,0.468714,0.301151,0.490773,0.177551,0.149214,0.335712,0.009171,0.761905,0.008085,0.721805,0.03585,0.061871,0.084122 +0,0,0,0,1,0,0.249353,0.115706,0.150393,0.604571,0.395248,0.342006,0.535494,0.489089,0.48719,0.57279,0.727425,0.532485,0.915896,0.683977,0.257999,0.392154,0.277395,0.22137,0.116115,0.206359,0.240545,0.431501,0.382445,0.394254,0.440166,0.55674,0.246582,0.165223,0.265505,0.256709,0.343923,0.259366,0.081609,0.099545,0.217741,0.120503,0.239854,0.343137,0.42001,0.366155,0.333809,0.182768,0.108222,0.10847,0.231771,0.126894,0.188178,0.141665,0.365344,0.244309,0.868107,0.500489,0.365985,0.500167,0.52399,0.59914,0.731101,0.670149,0.186887,0.233151,0.221957,0.231367,0.156876,0.242367,0.044253,0.047619,0.031735,0.045113,0.107542,0.094288,0.094925 +1,0,0,0,0,1,0.384383,0.6853,0.299679,0.552499,0.163358,0.749326,0.461542,0.657374,0.554971,0.573232,0.644338,0.500912,0.623331,0.576542,0.369785,0.459514,0.634106,0.848715,0.245773,0.409571,0.251823,0.615362,0.251697,0.256762,0.180062,0.463228,0.04522,0.171744,0.25568,0.24378,0.189286,0.13202,0.003519,0.286161,0.090877,0.101011,0.08273,0.202548,0.024966,0.068944,0.014406,0.076583,0.029648,0.042062,0.007941,0.011431,0.000087,0.022052,0.111125,0.064797,0.816143,0.365401,0.076284,0.129262,0.089776,0.095162,0.056185,0.127174,0.049418,0.064191,0.045606,0.016988,0.005034,0.056004,0.746956,0.222222,0.744889,0.210526,0.716097,0.730463,0.76204 +0,0,1,1,1,0,0.14233,0.054325,0.071333,0.673542,0.683725,0.234087,0.535558,0.477317,0.769043,0.661053,0.756426,0.586382,0.330765,0.501008,0.161117,0.55977,0.064138,0.075766,0.053062,0.100417,0.216566,0.212005,0.191241,0.219164,0.248946,0.46885,0.366482,0.269587,0.326915,0.323336,0.309118,0.187933,0.058823,0.169508,0.154573,0.130005,0.39051,0.205531,0.23852,0.302459,0.18927,0.200601,0.187426,0.131788,0.213348,0.172615,0.195649,0.073225,0.361249,0.267441,0.921552,0.470244,0.467522,0.385227,0.271518,0.208823,0.304117,0.391226,0.278092,0.167323,0.218401,0.210969,0.122772,0.129662,0.15574,0.603175,0.125139,0.571429,0.287524,0.098576,0.33216 +0,1,1,0,0,0,0.343322,0.321394,0.264888,0.638989,0.269008,0.420806,0.589358,0.503802,0.378073,0.495191,0.611729,0.312107,0.31771,0.56359,0.331502,0.515478,0.365733,0.521209,0.272518,0.378237,0.347093,0.348959,0.477525,0.377835,0.503714,0.793041,0.577284,0.347814,0.3679,0.409246,0.452897,0.304848,0.061902,0.182425,0.101033,0.175804,0.180139,0.245513,0.181878,0.254632,0.171551,0.213636,0.154826,0.134169,0.179759,0.099586,0.12375,0.099241,0.237363,0.316234,0.805732,0.32059,0.422558,0.29767,0.172676,0.22829,0.316607,0.731869,0.407785,0.265206,0.19253,0.117197,0.148701,0.101827,0.373145,0.571429,0.574941,0.541353,0.832075,0.05716,0.779167 +0,0,0,0,1,1,0.333808,0.232241,0.270107,0.698658,0.4227,0.563822,0.497937,0.489561,0.405969,0.633509,0.492972,0.330648,0.332819,0.288698,0.315895,0.441538,0.48994,0.546325,0.156382,0.305565,0.488431,0.436444,0.595957,0.611622,0.516052,0.787191,0.764307,0.451302,0.739639,0.67305,0.668701,0.364095,0.210831,0.237304,0.236175,0.170425,0.258969,0.201132,0.24955,0.331269,0.237121,0.259958,0.154432,0.144593,0.320087,0.326246,0.153723,0.101049,0.809644,0.3201,0.880957,0.386031,0.441101,0.398645,0.386771,0.495904,0.347307,0.368715,0.249262,0.161169,0.379548,0.311112,0.13616,0.111599,0.056409,0.619048,0.038984,0.586466,0.103687,0.186766,0.209432 +0,0,1,1,1,0,0.109421,0.00917,0.126389,0.544659,0.55658,0.649295,0.505859,0.63709,0.319702,0.685271,0.876265,0.320135,0.938331,0.75222,0.224493,0.397749,0.05122,0.048587,0.095167,0.144614,0.251143,0.169841,0.155595,0.180451,0.158418,0.462889,0.322631,0.157781,0.311984,0.254028,0.265772,0.21253,0.039724,0.077445,0.113068,0.192919,0.28369,0.116422,0.30265,0.423248,0.175549,0.45419,0.128146,0.122872,0.290679,0.185257,0.14581,0.082702,0.382678,0.311494,0.904565,0.526194,0.373797,0.264751,0.273798,0.257134,0.289504,0.488146,0.333146,0.112745,0.209042,0.167287,0.142365,0.10672,0.044138,0.079365,0.042809,0.075188,0.151317,0.102147,0.159241 +1,0,0,0,0,1,0.435395,0.277948,0.145852,0.865846,0.278029,0.387783,0.386372,0.413149,0.30205,0.53703,0.502229,0.425465,0.780849,0.361563,0.358969,0.325757,0.262254,0.287113,0.062689,0.167285,0.208067,0.263508,0.433361,0.47271,0.428704,0.506044,0.455145,0.29032,0.51595,0.320521,0.401486,0.273051,0.093522,0.152802,0.164084,0.03886,0.131867,0.235041,0.332022,0.436807,0.205412,0.240631,0.142991,0.094316,0.234231,0.078242,0.114678,0.071436,0.305889,0.274857,0.911099,0.42808,0.280643,0.287131,0.282974,0.344584,0.467306,0.408066,0.235041,0.162252,0.279994,0.069944,0.131247,0.113164,0.16247,0.603175,0.236405,0.571429,0.317625,0.108762,0.397799 +0,1,0,0,0,0,0.258295,0.209386,0.108531,0.896316,0.31688,0.333391,0.559384,0.453597,0.399569,0.502147,0.599836,0.343797,0.541334,0.498683,0.294023,0.353176,0.189669,0.283843,0.082515,0.0474,0.164338,0.209698,0.180898,0.200324,0.151086,0.22539,0.216169,0.092724,0.221326,0.173057,0.13802,0.118098,0.110197,0.171606,0.152929,0.068471,0.139343,0.101209,0.328672,0.200461,0.150395,0.112494,0.150554,0.042402,0.115874,0.104339,0.084545,0.044888,0.374066,0.386282,0.917937,0.395219,0.274326,0.182763,0.247285,0.237495,0.15173,0.314047,0.23198,0.05382,0.212333,0.096187,0.028966,0.057898,0.105677,0.238095,0.120017,0.225564,0.445062,0.174787,0.316912 +0,1,0,0,0,0,0.426395,0.247879,0.106373,0.694336,0.289445,0.35377,0.594185,0.413239,0.471301,0.613994,0.553266,0.356541,0.39218,0.391925,0.41231,0.512836,0.224794,0.191674,0.062447,0.345905,0.164313,0.532194,0.085998,0.243317,0.161671,0.309374,0.209889,0.134326,0.275342,0.268747,0.331101,0.315344,0.099726,0.132518,0.105025,0.282775,0.203108,0.359486,0.153893,0.247418,0.216217,0.172111,0.135206,0.077812,0.106334,0.222,0.11353,0.147762,0.249445,0.234852,0.924384,0.345509,0.17318,0.565386,0.148455,0.231369,0.205776,0.447777,0.114961,0.119847,0.144151,0.113846,0.155612,0.285477,0.008161,0.190476,0.110042,0.180451,0.059028,0.172763,0.14144 +0,0,0,0,0,1,0.586418,0.370351,0.307146,0.608651,0.272404,0.504299,0.510486,0.592811,0.249621,0.741155,0.51208,0.36036,0.454799,0.402908,0.438048,0.381799,0.636998,0.515211,0.201633,0.33969,0.462949,0.793939,0.776998,0.650766,1,0.881909,0.724453,0.351451,0.541992,0.446055,0.502643,0.268172,0.432067,0.432049,0.227369,0.196673,0.223935,0.276515,0.327673,0.490697,0.362286,0.217051,0.118015,0.07111,0.144791,0.09124,0.094615,0.050236,0.87918,0.315337,0.842582,0.399503,0.425068,0.507614,0.442486,0.538432,0.469623,0.591786,0.425305,0.193361,0.223805,0.220104,0.125043,0.099492,0.003417,0.603175,0.076703,0.571429,0.01103,0.04572,0.125298 +0,0,0,0,0,1,0.335353,0.397436,0.182293,0.746418,0.168898,0.507405,0.394693,0.66221,0.286285,0.37999,0.520619,0.524056,0.317059,0.535404,0.369843,0.314996,0.312904,0.611468,0.113331,0.228242,0.266259,0.295414,0.607142,0.543551,0.362855,0.5624,0.761123,0.372502,0.59112,0.410031,0.493144,0.284941,0.118554,0.31358,0.194963,0.081861,0.15347,0.059748,0.178275,0.336002,0.176408,0.131916,0.123028,0.12321,0.125803,0.090032,0.095179,0.064886,0.329704,0.285164,0.889363,0.382202,0.235974,0.222258,0.434051,0.455478,0.291087,0.443583,0.504775,0.249103,0.272794,0.147027,0.124594,0.106623,0.016491,0.603175,0.029582,0.571429,0.088305,0.055227,0.087683 +0,0,1,0,0,1,0.209523,0.369172,0.146157,0.671685,0.165431,0.785254,0.582518,0.606215,0.352574,0.567666,0.496936,0.490126,0.77117,0.568337,0.385803,0.399195,0.204445,0.687207,0.074747,0.240378,0.319121,0.407808,0.521253,0.301092,0.397037,0.496863,0.42971,0.401365,0.442624,0.409263,0.366047,0.235776,0.110132,0.606789,0.17923,0.187124,0.174604,0.259955,0.436818,0.236992,0.206905,0.218242,0.116872,0.13801,0.165989,0.135802,0.110251,0.058699,0.352289,0.460606,0.90561,0.375798,0.41262,0.521683,0.541144,0.347382,0.494892,0.434012,0.319074,0.16218,0.233134,0.189341,0.066334,0.062666,0.139772,0.603175,0.228023,0.571429,0.398224,0.03063,0.40255 +0,0,1,0,0,0,0.157356,0.18745,0.237992,0.524434,0.406135,0.701042,0.555691,0.455339,0.359828,0.552239,0.508529,0.391467,0.465395,0.383996,0.497874,0.583634,0.240437,0.520945,0.186021,0.375168,0.449364,0.444067,0.57186,0.34665,0.420914,0.683201,0.467768,0.256508,0.408268,0.376951,0.391009,0.174973,0.116888,0.39365,0.106552,0.226034,0.337447,0.224143,0.509562,0.489866,0.281296,0.287772,0.195349,0.141115,0.275499,0.216394,0.205028,0.082693,0.431703,0.561482,0.834655,0.443643,0.278299,0.282535,0.47703,0.355181,0.454005,0.558438,0.367123,0.155852,0.209733,0.190271,0.152312,0.086514,0.171832,0.460317,0,0.43609,0.365938,0.021411,0.414699 +1,1,0,0,0,1,0.264045,0.49386,1,0.452319,0.541582,0.479538,0.273659,0.586523,0.373237,0.452139,0.540434,0.360687,0.55252,0.445387,0.366726,0.438867,0.393706,0.812281,1,1,1,1,0.61161,0.368425,0.351238,0.535042,0.188854,0.071261,0.111877,0.050603,0.141292,0.09713,0.14308,0.44711,0.911765,0.49941,0.339636,0.343044,0.342678,0.1351,0.171485,0.105713,0.067051,0.07693,0.085371,0.065666,0.050571,0.032035,0.509062,0.213023,0.562288,0.576666,0.421369,0.612185,0.504428,0.232142,0.349767,0.35153,0.143288,0.070884,0.049035,0.064872,0.030273,0.067367,0.4068,0.238095,0.909178,0.225564,0.7035,0.902491,0.84102 +0,1,0,0,0,0,0.423468,0.612905,0.637798,0.337486,0.391792,0.793695,0.344661,0.727968,0.436903,0.765439,0.610371,0.539078,0.717198,0.56456,0.36522,0.495104,0.875236,0.87894,0.527169,0.702428,0.621143,0.654118,0.471386,0.325714,0.22631,0.239012,0.226922,0.111447,0.186241,0.275463,0.243378,0.172746,0.212478,0.464773,0.213103,0.276803,0.195227,0.108793,0.055859,0.096795,0.109895,0.105566,0.055344,0.029926,0.035036,0.038304,0.069975,0.039248,0.701456,0.097972,0.667306,0.429663,0.441823,0.477033,0.078483,0.205312,0.153249,0.233581,0.138654,0.066914,0.123676,0.15417,0.094435,0.063075,0.60083,0.190476,0.636244,0.180451,0.75976,0.660748,0.75144 +0,0,1,0,0,0,0.292132,0.185862,0.206251,0.565084,0.520908,0.422447,0.35897,0.562239,0.33507,0.415641,0.483134,0.391966,0.472041,0.507566,0.287079,0.478684,0.341929,0.415663,0.132364,0.331097,0.358511,0.516959,0.602405,0.692298,0.811682,0.835086,0.551928,0.364603,0.467342,0.448647,0.426088,0.252482,0.129998,0.236398,0.226723,0.200011,0.182816,0.321352,0.316968,0.48277,0.434657,0.225367,0.170463,0.125487,0.117812,0.164512,0.178971,0.099458,0.644626,0.445746,0.911795,0.486101,0.345528,0.427294,0.40137,0.391256,0.729518,0.391157,0.253791,0.183776,0.211056,0.203324,0.134217,0.09413,0.013567,0.15873,0.150644,0.150376,0.030252,0.262276,0.146998 +0,0,0,0,0,1,0.359941,0.214892,0.118663,0.546547,0.267956,0.52001,0.486406,0.406802,0.508934,0.365571,0.566564,0.417162,0.489094,0.840136,0.372568,0.430846,0.220639,0.241002,0.05457,0.210574,0.120516,0.375663,0.113765,0.235579,0.153887,0.505592,0.585101,0.353608,0.963172,0.965629,0.953699,0.601434,0.150351,0.237272,0.082247,0.197897,0.121655,0.304157,0.123799,0.253951,0.181692,0.255781,0.287643,0.198688,0.387168,0.536222,0.43027,0.146751,0.266319,0.285159,0.920986,0.534758,0.167207,0.463927,0.136278,0.206313,0.199166,0.490001,0.417499,0.61154,1,0.966009,0.442314,0.505488,0.074064,0.666667,0.121875,0.631579,0.078045,0.313019,0.358943 +0,0,1,1,0,0,0.296386,0.127809,0.00933,0.635878,0.463869,0.688768,0.316953,0.43862,0.439304,0.320924,0.627858,0.112591,0.430589,0.499594,0.301377,0.40352,0.077353,0.121476,0.022312,0.013143,0.070013,0.084515,0.036213,0.132054,0.124366,0.183795,0.276371,0.186046,0.249116,0.187498,0.220669,0.161983,0.049559,0.176468,0.109311,0.052961,0.219432,0.245807,0.160495,0.358002,0.21756,0.241314,0.241068,0.15982,0.145318,0.110177,0.100711,0.090463,0.320027,0.254283,0.946685,0.553989,0.2188,0.225973,0.111221,0.168712,0.21796,0.292369,0.21537,0.136771,0.21307,0.146119,0.082192,0.091633,0.017973,0.460317,0.006925,0.43609,0.160205,0.167206,0.194902 +1,0,0,0,0,1,0.330817,0.215968,0.181999,0.815926,0.273732,0.341277,0.328512,0.597198,0.468064,0.456928,0.538266,0.484097,0.649992,0.277187,0.360347,0.42767,0.275116,0.326071,0.087069,0.22009,0.186306,0.265877,0.402698,0.397083,0.270724,0.447992,0.43088,0.241821,0.364409,0.220785,0.305492,0.201335,0.114184,0.129861,0.095867,0.04283,0.095517,0.118756,0.127238,0.22188,0.17562,0.114265,0.09615,0.048932,0.169831,0.055646,0.07095,0.040481,0.3071,0.295009,0.900427,0.360721,0.08012,0.104159,0.204762,0.178329,0.192393,0.309812,0.148406,0.132006,0.32685,0.069464,0.068758,0.060017,0.185348,0.031746,0.014181,0.030075,0.26364,0.013906,0.138939 +0,0,0,0,0,1,0.110112,0.751686,0.255761,0.703326,0.209037,0.474362,0.477505,0.712747,0.290577,0.333275,0.576703,0.481274,0.655274,0.607984,0.394403,0.490404,0.198017,0.955337,0.12188,0.257419,0.472443,0.393992,0.218248,0.362385,0.344267,0.468818,0.300503,0.185227,0.242411,0.314132,0.364976,0.238256,0.073449,0.230663,0.064812,0.103347,0.140618,0.145839,0.090937,0.198187,0.162737,0.101858,0.060584,0.06614,0.088502,0.119543,0.103325,0.068439,0.377738,0.056654,0.857043,0.31751,0.184501,0.218058,0.104802,0.251449,0.203658,0.281578,0.149084,0.139224,0.168005,0.149751,0.139445,0.148201,0.228597,0.238095,0.350874,0.225564,0.325321,0.366281,0.382769 +1,1,0,0,0,0,0.539585,0.391481,0.156628,0.661082,0.22432,0.409774,0.426308,0.432827,0.352456,0.600798,0.647691,0.412573,0.49331,0.58612,0.429377,0.357311,0.307919,0.281624,0.061303,0.116626,0.110498,0.157984,0.185085,0.243457,0.275946,0.496365,0.453853,0.275644,0.366075,0.396934,0.435503,0.261262,0.12415,0.235742,0.114007,0.097856,0.168775,0.10064,0.10506,0.141916,0.140507,0.121,0.065382,0.069132,0.106779,0.102221,0.088325,0.071148,0.268247,0.251924,0.920071,0.467128,0.115706,0.063272,0.080913,0.139123,0.185585,0.24747,0.19205,0.127065,0.15219,0.108976,0.067633,0.075641,0.329766,0.222222,0.399635,0.210526,0.43052,0.497344,0.486597 +0,1,1,0,0,0,0.118692,0.036016,0.09371,0.481277,0.673437,0.472212,0.435879,0.460907,0.496591,0.610694,0.547937,0.321811,0.588539,0.303168,0.404749,0.265991,0.057214,0.045481,0.080336,0.206316,0.165513,0.331556,0.199165,0.2139,0.229059,0.328951,0.230803,0.192843,0.323522,0.309999,0.451937,0.484112,0.066637,0.142796,0.238288,0.215529,0.286862,0.262546,0.30531,0.278258,0.225053,0.187843,0.117189,0.102697,0.277454,0.227235,0.297776,0.277657,0.346303,0.280935,0.903911,0.528079,0.398085,0.413889,0.221236,0.233936,0.3264,0.353795,0.201809,0.199625,0.447784,0.356902,0.255948,0.542931,0.028995,0.603175,0.077432,0.571429,0.093501,0.10925,0.18667 +0,0,1,1,1,0,0.170082,0.074065,0.089802,0.659648,0.652486,0.158975,0.592447,0.557976,0.597321,0.586326,0.651926,0.551885,0.426038,0.769152,0.230949,0.563733,0.087701,0.087466,0.052226,0.140706,0.275673,0.207146,0.25985,0.194512,0.29201,0.354317,0.386964,0.189237,0.263595,0.338581,0.516011,0.249606,0.035101,0.085126,0.18557,0.156394,0.259701,0.20067,0.357335,0.247987,0.284557,0.224086,0.120515,0.114605,0.134801,0.260579,0.286521,0.159923,0.351664,0.242162,0.915803,0.498793,0.505022,0.325959,0.320247,0.276315,0.257129,0.436484,0.32654,0.279256,0.176175,0.274769,0.187332,0.200547,0.113849,0.079365,0.161966,0.075188,0.211452,0.235633,0.251959 +0,1,1,0,0,0,0.316747,0.176816,0.184857,0.617934,0.368813,0.376534,0.597428,0.556337,0.190523,0.583532,0.846497,0.502437,0.337375,0.220881,0.436231,0.311536,0.214725,0.221995,0.098797,0.204725,0.248309,0.518933,0.542228,0.422153,0.341443,0.421096,0.434701,0.202358,0.40367,0.380256,0.395389,0.26161,0.107156,0.097622,0.086533,0.118392,0.217696,0.25191,0.357384,0.440406,0.244719,0.162487,0.24146,0.134456,0.162677,0.203758,0.142375,0.139177,0.322561,0.290216,0.888536,0.46194,0.343161,0.478648,0.562102,0.308976,0.284439,0.410221,0.323133,0.217186,0.404115,0.186217,0.147114,0.118568,0.036489,0.238095,0.293034,0.225564,0.241952,0.315747,0.284027 +1,1,0,0,0,0,0.344953,0.223918,0.071943,0.904198,0.316104,0.382937,0.37386,0.433376,0.368827,0.493451,0.500149,0.42713,0.602955,0.482589,0.37751,0.277373,0.209734,0.222647,0.058618,0.038976,0.085422,0.176302,0.173647,0.195933,0.123953,0.349056,0.245481,0.145986,0.216643,0.210137,0.277973,0.168227,0.06848,0.127634,0.096806,0.047015,0.092584,0.084438,0.194103,0.193843,0.130463,0.196828,0.088056,0.066717,0.098727,0.098126,0.151654,0.054636,0.366336,0.286848,0.926387,0.422388,0.202964,0.293538,0.212782,0.223986,0.151437,0.329244,0.145595,0.118088,0.148623,0.082982,0.093836,0.111468,0.20249,0.206349,0.069564,0.195489,0.439277,0.142096,0.303311 +1,0,0,0,0,1,0.172932,0.188209,0.230334,0.660254,0.217397,0.507961,0.42898,0.535061,0.434825,0.499319,0.64877,0.492404,0.8548,0.907039,0.394145,0.343501,0.174702,0.463259,0.170167,0.278571,0.19351,0.521816,0.493672,0.343126,0.443777,0.532734,0.402416,0.319698,0.440402,0.504558,0.404469,0.284251,0.041034,0.106269,0.015675,0.137271,0.070931,0.15992,0.236326,0.176153,0.249487,0.143254,0.091991,0.082953,0.053243,0.136288,0.067325,0.068425,0.265842,0.231866,0.851294,0.337766,0.070511,0.339807,0.230317,0.244651,0.326711,0.345398,0.245646,0.15792,0.110858,0.268757,0.080201,0.116225,0.029061,0.063492,0.041504,0.06015,0.134897,0.060186,0.091316 +0,1,0,0,0,0,0.493426,0.509501,0.28365,0.697662,0.163366,0.5246,0.345586,0.5979,0.490198,0.586609,0.755277,0.492304,0.794749,0.679799,0.359163,0.388856,0.450846,0.610647,0.187583,0.296447,0.237039,0.324491,0.257334,0.283826,0.325517,0.574065,0.486639,0.282651,0.343907,0.442332,0.390669,0.271596,0.072158,0.14318,0.123576,0.064792,0.056286,0.05,0.080374,0.092515,0.121746,0.09092,0.091456,0.067482,0.049009,0.075954,0.048342,0.075701,0.158646,0.134844,0.830081,0.382157,0.141095,0.235674,0.084689,0.076196,0.088504,0.261967,0.040878,0.125263,0.150434,0.035397,0.072432,0.07614,0.433999,0.253968,0.421792,0.240602,0.401453,0.476539,0.470355 +1,0,0,0,1,0,0.368104,0.241934,0.071458,0.930157,0.30143,0.478897,0.434335,0.525599,0.232159,0.47789,0.545723,0.375126,0.656745,0.480799,0.395268,0.474804,0.152934,0.192811,0.040267,0.025833,0.03304,0.170476,0.12396,0.114395,0.133907,0.281112,0.220752,0.131157,0.270448,0.139039,0.255061,0.170417,0.110244,0.214035,0.209287,0.013322,0.146599,0.120879,0.18747,0.152583,0.23849,0.131587,0.104889,0.076441,0.063562,0.072588,0.107601,0.052957,0.285948,0.240913,0.938148,0.417219,0.186102,0.230649,0.189811,0.150297,0.222831,0.282034,0.128146,0.082425,0.174061,0.091739,0.066808,0.113433,0.155095,0.349206,0.235202,0.330827,0.224774,0.06007,0.310604 +0,0,1,1,1,0,0.160163,0.050479,0.083013,0.604228,0.51788,0.573379,0.509228,0.470097,0.577409,0.266848,0.42988,0.606959,0.577904,0.558896,0.422447,0.532978,0.149052,0.12836,0.052776,0.109289,0.23354,0.277872,0.259305,0.294711,0.440422,0.586914,0.374815,0.402329,0.422078,0.388679,0.381701,0.275346,0.072251,0.099901,0.154221,0.184408,0.315693,0.181259,0.331531,0.200935,0.394482,0.309692,0.185337,0.210932,0.198682,0.167513,0.230524,0.162328,0.50818,0.305709,0.925778,0.44331,0.373932,0.465477,0.274596,0.39995,0.677625,0.528648,0.228119,0.397759,0.302563,0.246272,0.17216,0.173067,0.114018,0.555556,0.033488,0.526316,0.266955,0.043732,0.25719 +0,1,1,0,0,0,0.423339,0.280225,0.238343,0.781942,0.334916,0.314602,0.437822,0.428081,0.055855,0.371965,0.357867,0.412801,0.468755,0.414717,0.343752,0.509061,0.356537,0.41624,0.122694,0.296042,0.281568,0.503169,0.732165,0.691159,0.778231,0.929568,0.772057,0.473832,0.767213,0.455875,0.607284,0.423688,0.212599,0.139691,0.116532,0.07556,0.102489,0.219284,0.364966,0.448447,0.345564,0.214913,0.159707,0.125149,0.194484,0.12179,0.180683,0.168526,0.479315,0.403183,0.869849,0.361787,0.210525,0.388665,0.306037,0.617049,0.587305,0.701379,0.459409,0.282111,0.459697,0.180388,0.123236,0.277889,0.072501,0.015873,0.086267,0.015038,0.219761,0.216046,0.269727 +1,1,0,0,0,0,0.874635,0.723146,0.215288,0.611714,0.148808,0.74156,0.317833,0.600779,0.363422,0.613953,0.579817,0.45537,0.676178,0.63928,0.482016,0.652464,0.947368,0.716514,0.14417,0.283759,0.20902,0.292459,0.271908,0.276911,0.398996,0.445891,0.313427,0.105492,0.256499,0.317326,0.31419,0.231896,0.042101,0.157418,0.206352,0.138025,0.056797,0.226461,0.093841,0.120957,0.155356,0.121133,0.095677,0.071162,0.090638,0.102288,0.101197,0.091203,0.22574,0.056601,0.855519,0.408677,0.21203,0.299322,0.115941,0.199663,0.33751,0.268025,0.196784,0.064437,0.103631,0.154164,0.093861,0.053291,1,0.222222,0.886738,0.210526,0.930881,0.915883,0.972903 +0,1,1,0,0,0,0.278763,0.332503,0.148563,0.608981,0.316405,0.495376,0.588419,0.591003,0.19809,0.625633,0.44686,0.630141,0.510338,0.512311,0.312149,0.432738,0.358092,0.584819,0.158604,0.352344,0.204469,0.458665,0.68935,0.56383,0.496544,0.45396,0.552935,0.262882,0.364023,0.225163,0.314203,0.199615,0.13798,0.51151,0.107197,0.235578,0.172195,0.205556,0.317297,0.38779,0.257776,0.196115,0.177737,0.11914,0.16907,0.08828,0.139493,0.100196,0.485503,0.455472,0.912275,0.447766,0.298463,0.36049,0.523788,0.471918,0.410905,0.401064,0.398898,0.20575,0.212356,0.086002,0.131846,0.12399,0.008523,0.761905,0,0.721805,0.013063,0.037884,0.067325 +0,0,1,1,1,0,0.117941,0.014353,0.063935,0.367335,0.74217,0.787146,0.487278,0.605435,0.486061,0.465351,0.499416,0.477125,0.444001,0.413391,0.352232,0.552892,0.045882,0.022031,0.05688,0.117395,0.159174,0.219238,0.263024,0.20056,0.236713,0.250415,0.479664,0.207193,0.391049,0.238589,0.187373,0.20098,0.070857,0.098154,0.147763,0.354794,0.271941,0.493759,0.509701,0.648191,0.376804,0.228784,0.267384,0.290425,0.282519,0.164713,0.268933,0.202918,0.381998,0.28297,0.923992,0.578435,0.465288,0.405732,0.808066,0.4794,0.482423,0.485614,0.619755,0.341411,0.370894,0.24618,0.112217,0.174956,0.054413,0.079365,0,0.503759,0.183141,0.032262,0.105944 +0,1,1,0,0,0,0.299318,0.181396,0.301667,0.516206,0.468955,0.429373,0.706009,0.286153,0.6098,0.199722,0.694013,0.31932,0.447531,0.629953,0.390483,0.277522,0.222156,0.261809,0.20797,0.434428,0.497342,0.45581,0.603875,0.596014,0.523924,0.701024,0.526394,0.289555,0.472554,0.387296,0.485665,0.302268,0.146412,0.209659,0.236703,0.390243,0.363742,0.411429,0.72232,0.677784,0.396444,0.481505,0.352356,0.198684,0.34911,0.226063,0.278695,0.214349,0.298856,0.442759,0.849029,0.480135,0.509181,0.461753,0.488657,0.659877,0.4849,0.60893,0.535152,0.221256,0.48034,0.237177,0.259445,0.348411,0.041759,0,0.055661,0.390977,0.140254,0.050109,0.149005 +0,0,0,0,0,1,0.667757,0.435007,0.295082,0.720255,0.283913,0.388505,0.532303,0.435993,0.242038,0.536455,0.447299,0.407861,0.338133,0.539407,0.296164,0.422085,0.725528,0.570247,0.1489,0.368176,0.562062,0.863521,0.7623,0.796129,0.745618,0.907994,1,0.329583,0.790078,0.526173,0.601832,0.386042,0.259107,0.256843,0.236703,0.103897,0.156981,0.215124,0.303652,0.307329,0.339585,0.203844,0.135722,0.057392,0.149925,0.078503,0.098507,0.086987,0.767265,0.257498,0.885225,0.466194,0.45978,0.645987,0.540643,0.486596,0.506955,0.655836,0.35288,0.129891,0.341705,0.191759,0.135345,0.191042,0.007354,0.111111,0.118419,0.105263,0.066576,0.141669,0.136522 +1,0,0,0,0,1,0.272808,0.17184,0.280499,0.643874,0.375934,0.637921,0.456124,0.425601,0.285193,0.574207,0.484022,0.536322,0.626906,0.724237,0.324695,0.557348,0.374781,0.417516,0.181246,0.306421,0.400252,0.597954,0.615699,0.794463,0.553292,0.54041,0.570863,0.344947,0.584766,0.406165,0.425014,0.304422,0.110132,0.192324,0.115768,0.167841,0.159695,0.251465,0.268142,0.356277,0.269134,0.144039,0.111774,0.104167,0.126591,0.075313,0.095479,0.077139,0.533079,0.333611,0.853472,0.344113,0.294331,0.591211,0.289629,0.606481,0.350461,0.31715,0.217126,0.188287,0.403904,0.125673,0.143349,0.131293,0.094447,0.174603,0.045891,0.639098,0.191508,0,0.214377 +0,0,0,0,0,1,0.493054,0.312197,0.245775,0.761396,0.346291,0.455156,0.345357,0.547407,0.205845,0.524079,0.407377,0.489704,0.501344,0.606926,0.276967,0.460883,0.530638,0.51647,0.128448,0.193226,0.21601,0.421007,0.645715,0.505844,0.566451,0.629825,0.598951,0.33369,0.43929,0.410757,0.508233,0.337935,0.241056,0.214257,0.181813,0.074838,0.092436,0.207547,0.281092,0.245793,0.226545,0.171131,0.170435,0.098623,0.131644,0.145066,0.176389,0.112396,0.61791,0.297924,0.867105,0.393728,0.223303,0.361104,0.311411,0.275109,0.289664,0.469653,0.385546,0.160186,0.181514,0.108128,0.122713,0.116491,0.086943,0.730159,0.009254,0.691729,0.057435,0.123532,0.095876 +0,0,1,0,1,1,0.179849,0.104307,0.22359,0.634467,0.522176,0.574362,0.425199,0.371282,0.254512,0.377253,0.540986,0.572946,0.360534,0.623702,0.2164,0.474375,0.162954,0.282262,0.094518,0.222938,0.535526,0.599938,0.601387,0.601154,0.504344,0.671489,0.516608,0.367112,0.830821,0.582031,0.508209,0.312591,0.091921,0.162608,0.087179,0.133178,0.218636,0.207997,0.218513,0.330407,0.265731,0.193754,0.105518,0.111683,0.193573,0.183724,0.136447,0.071893,0.362828,0.362897,0.888797,0.387373,0.440802,0.380544,0.260296,0.494595,0.330249,0.345835,0.2362,0.179598,0.329255,0.25465,0.135873,0.083751,0.026128,0.793651,0,0.75188,0.077093,0.084336,0.143125 +0,0,0,0,0,1,0.444704,0.416118,0.169777,0.701364,0.21538,0.620812,0.437392,0.411858,0.459691,0.535054,0.503899,0.423133,0.515785,0.52489,0.312843,0.327892,0.48324,0.581758,0.081029,0.281891,0.307935,0.348388,0.608862,0.62669,0.388456,0.527738,0.593,0.264011,0.528629,0.448034,0.468298,0.326833,0.148676,0.22881,0.128625,0.101919,0.145025,0.247687,0.23849,0.363344,0.159768,0.195853,0.113227,0.107423,0.146927,0.116813,0.118458,0.07995,0.483006,0.363648,0.897204,0.390106,0.320419,0.357904,0.393835,0.397881,0.349322,0.359112,0.311156,0.152477,0.191548,0.21124,0.144187,0.133861,0.193978,0.190476,0.019602,0.661654,0.268294,0.146156,0.233829 +1,0,0,0,0,1,0.302325,0.319594,0.277223,0.699399,0.332222,0.505165,0.504993,0.588205,0.324822,0.942151,0.454141,0.479402,0.51176,0.397405,0.45497,0.459085,0.339012,0.554112,0.182621,0.3721,0.426628,0.758434,0.769272,0.649798,0.552086,0.907751,0.742137,0.303806,0.472983,0.409488,0.528253,0.295398,0.112742,0.315082,0.147118,0.080884,0.165221,0.224176,0.300298,0.376927,0.202652,0.177778,0.169328,0.062193,0.168261,0.125536,0.130755,0.072764,0.403316,0.378731,0.872942,0.346297,0.266067,0.559388,0.450407,0.371965,0.445117,0.503361,0.407364,0.195553,0.202802,0.214723,0.183555,0.129287,0.036938,0.079365,0.021766,0.503759,0.117861,0.01679,0.102009 +1,0,0,0,0,1,0.160023,0.320485,0.171053,0.573631,0.347578,0.743537,0.302987,0.583054,0.515414,0.574646,0.794292,0.808352,0.823379,0.429445,0.155748,0.787797,0.237446,0.771116,0.156415,0.340984,0.463934,0.397672,0.115182,0.056225,0.127262,0.055966,0.111559,0.015396,0.137567,0.079716,0.12366,0.169861,0.042896,0.185877,0.185687,0.287851,0.205001,0.086747,0.172408,0.018803,0.06053,0.045934,0.063341,0.041978,0.044627,0.018072,0.048059,0.04193,0.27897,0.189451,0.877907,0.465878,0.320443,0.062776,0.193113,0.139464,0.092275,0.233738,0.163507,0.079808,0.085235,0.016023,0.026454,0.064249,0.182883,0.269841,0.309826,0.255639,0.2056,0.345366,0.341303 +0,0,1,1,1,0,0.19798,0.064349,0.027946,0.598329,0.648549,0.416836,0.574779,0.465594,0.377395,0.402631,0.427536,0.518039,0.360346,0.085039,0.289206,0,0.054514,0.043862,0.026339,0.108903,0.103025,0.091364,0.054841,0.157359,0.088115,0.186174,0.174264,0.193614,0.244358,0.282162,0.367484,0.295298,0.080973,0.181085,0.172537,0.206978,0.379973,0.205316,0.242453,0.522884,0.335223,0.304909,0.401505,0.332153,0.441369,0.387058,0.522945,0.359068,0.331209,0.281533,0.934184,0.502476,0.351058,0.290066,0.194587,0.292866,0.25873,0.416878,0.340758,0.32753,0.282878,0.470209,0.31214,0.564352,0.055304,0.206349,0.048217,0.684211,0.146175,0.204845,0.325039 +0,0,1,1,1,0,0.161351,0.072922,0.124955,0.491473,0.463483,0.682536,0.50761,0.508539,0.591953,0.657679,0.611786,0.589574,0.623828,0.595303,0.322814,0.472427,0.188697,0.23868,0.100591,0.313397,0.351421,0.421701,0.613819,0.534793,0.358052,0.650591,0.431217,0.238416,0.402398,0.391417,0.356601,0.217124,0.08889,0.157298,0.081191,0.298561,0.320725,0.346238,0.54324,0.572874,0.336983,0.209439,0.231631,0.116344,0.174982,0.141699,0.231439,0.10021,0.504673,0.369444,0.906046,0.535965,0.522109,0.494209,0.672119,0.783165,0.383738,0.717593,0.540445,0.272503,0.446449,0.256917,0.175822,0.204758,0.044995,0.031746,0.013933,0.030075,0.278192,0.052941,0.17254 +0,0,1,0,1,0,0.423279,0.237114,0.113964,0.490469,0.422583,0.222128,0.663362,0.198977,0.572577,0.347994,0.359709,0.534891,0.902612,0.590638,0.425819,0.337134,0.182182,0.139365,0.061171,0.269786,0.195374,0.249291,0.509652,0.46092,0.304358,0.622384,0.528502,0.39676,0.69419,0.358547,0.535515,0.35852,0.16232,0.191058,0.079782,0.268641,0.183964,0.220401,0.439811,0.390765,0.33811,0.374187,0.214414,0.245557,0.473022,0.179383,0.291715,0.197192,0.259966,0.186013,0.920943,0.556572,0.225042,0.269714,0.412267,0.397668,0.324442,0.555464,0.317128,0.371507,0.429434,0.201931,0.275503,0.264864,0.018758,0.603175,0.025928,0.571429,0.087807,0.126876,0.23551 +1,1,0,0,0,0,0.506827,0.447265,0.255377,0.833072,0.35518,0.292793,0.159685,0.508146,0.288777,0.25376,0.586428,0.440751,0.263811,0.289507,0.32909,0.58543,0.512927,0.605173,0.192479,0.230657,0.352454,0.380276,0.259553,0.278828,0.219217,0.214502,0.243953,0.105833,0.226437,0.295614,0.355444,0.182212,0.026277,0.176662,0.150816,0.009993,0.041075,0.105974,0.110719,0.077712,0.120078,0.058457,0.077176,0.030713,0.107674,0.135625,0.121708,0.04984,0.171499,0.105581,0.84084,0.494461,0.129115,0.192703,0.177232,0.113097,0.237896,0.252741,0.111797,0.075487,0.091702,0.094863,0.080554,0.034316,0.944773,0.238095,0.178029,0.225564,0.912597,0.174581,0.565016 +0,1,0,0,1,0,0.586563,0.675694,0.5897,0.580018,0.162998,0.627965,0.395868,0.71086,0.463505,0.587874,0.664172,0.534237,0.692882,0.542311,0.410388,0.559318,0.621739,0.691149,0.502327,0.568539,0.618805,0.666566,0.574461,0.476219,0.413286,0.567652,0.292733,0.210413,0.281343,0.217881,0.341401,0.17528,0.645275,0.551776,0.781085,0.384071,0.309374,0.32668,0.325847,0.381262,0.205828,0.286049,0.07754,0.071373,0.116871,0.137309,0.132061,0.065699,0.935679,0.250129,0.868717,0.377787,0.530607,0.390701,0.378122,0.532044,0.216437,0.547458,0.262342,0.214474,0.262672,0.272868,0.199458,0.167089,0.523918,0.206349,0.481633,0.195489,0.553489,0.472305,0.53266 +0,0,0,0,1,1,0.295225,0.285249,0.158944,0.715708,0.252571,0.392148,0.511627,0.485889,0.339794,0.46463,0.52006,0.455185,0.630206,0.621877,0.522585,0.539967,0.257163,0.4873,0.069191,0.306647,0.234807,0.334652,0.382704,0.479396,0.35843,0.536132,0.37526,0.209371,0.374352,0.340901,0.368298,0.310762,0.06776,0.193724,0.22185,0.1889,0.106847,0.218974,0.268083,0.310245,0.263444,0.21196,0.097381,0.051678,0.099754,0.090635,0.166267,0.08671,0.275078,0.424714,0.885617,0.371732,0.152234,0.256505,0.382708,0.429864,0.484503,0.368701,0.258059,0.099529,0.225854,0.119955,0.074149,0.110774,0.087991,0.047619,0,0.045113,0.283736,0.074864,0.1816 +0,1,1,0,0,0,0.349175,0.182281,0.241799,0.726286,0.38199,0.374609,0.220183,0.614642,0.308429,0.630595,0.430361,0.371188,0.518744,0.612952,0.453357,0.284677,0.35089,0.317655,0.179882,0.240192,0.254421,0.487077,0.447623,0.378394,0.728133,0.601957,0.517649,0.485101,0.65213,0.512089,0.42083,0.269244,0.109514,0.175599,0.090642,0.199526,0.255327,0.394128,0.369934,0.404426,0.533776,0.317004,0.214075,0.243374,0.311918,0.158258,0.173708,0.104887,0.406015,0.27447,0.857827,0.452259,0.267996,0.487959,0.416745,0.323496,0.811524,0.570352,0.315395,0.479051,0.646002,0.280436,0.156336,0.089671,0.395786,0.253968,0.699359,0.240602,0.530459,0.685814,0.633952 +0,0,1,1,0,0,0.200182,0.067277,0.075705,0.619578,0.695019,0.340665,0.383789,0.439091,0.344342,0.520178,0.477992,0.418367,0.510719,0.323126,0.366535,0.203102,0.055053,0.033707,0.036713,0.057818,0.0812,0.151383,0.129365,0.19335,0.178463,0.248702,0.284299,0.143653,0.216321,0.237643,0.367687,0.314813,0.035316,0.048696,0.165493,0.123768,0.158538,0.153098,0.171779,0.296449,0.311059,0.167702,0.124811,0.085371,0.122659,0.134536,0.13469,0.081204,0.314519,0.219189,0.916587,0.469746,0.361378,0.132748,0.129233,0.184203,0.217403,0.174895,0.140302,0.103813,0.077277,0.137126,0.10478,0.099865,0.040006,0.31746,0.041753,0.300752,0.166946,0.123304,0.237637 +0,0,1,1,1,0,0.103504,0.105964,0.054988,0.428026,0.901748,0.455099,0.426353,0.689093,0.453196,0.499788,0.598178,0.497325,0.554597,0.352265,0.374734,0.386645,0.024251,0.138493,0.104287,0.153351,0.133582,0.189914,0.08048,0.09409,0.034516,0.116795,0.16942,0.099045,0.146277,0.175992,0.196119,0.093907,0.035793,0.748398,0.123929,0.324395,0.618983,0.457654,0.224767,0.491117,0.280298,0.180097,0.245103,0.174106,0.165352,0.174179,0.307527,0.175425,0.357742,0.769166,0.892151,0.617953,0.449267,0.435899,0.183874,0.305703,0.342307,0.305664,0.29799,0.233584,0.240663,0.222068,0.202984,0.153649,0.003291,0.460317,0.005073,0.43609,0.040368,0.010258,0.01723 +0,0,1,1,1,0,0.105463,0.017894,0.067809,0.616156,0.658469,0.281609,0.628506,0.491539,0.69776,0.922573,0.646541,0.397263,0.690229,0.764681,0.279088,0.666279,0.047139,0.061861,0.064262,0.094538,0.195462,0.153492,0.156968,0.207919,0.228664,0.502471,0.333333,0.216908,0.302276,0.256527,0.45065,0.180053,0.01282,0.105488,0.08483,0.08278,0.170406,0.228616,0.266647,0.263249,0.302349,0.309988,0.205696,0.178961,0.210037,0.123225,0.244714,0.12519,0.361892,0.279057,0.906961,0.565965,0.444079,0.429789,0.219604,0.19248,0.319273,0.431163,0.267367,0.233529,0.173551,0.165468,0.197814,0.09986,0.13062,0.619048,0.075155,0.586466,0.076952,0.251648,0.283975 +1,0,0,0,0,1,0.39813,0.210883,0.208443,0.623466,0.183391,0.376843,0.60961,0.55248,0.606293,0.439084,0.745042,0.459537,0.747927,0.637114,0.505933,0.600799,0.434367,0.341204,0.132441,0.366113,0.310742,0.577802,0.544424,0.588837,0.575221,0.894619,0.436293,0.374391,0.493848,0.429075,0.527766,0.292733,0.133208,0.182388,0.158213,0.216191,0.302593,0.267283,0.301924,0.474066,0.239655,0.284998,0.109444,0.183463,0.169612,0.202464,0.178071,0.052572,0.32605,0.235163,0.865755,0.431443,0.39625,0.573038,0.569975,0.675583,0.424107,0.636027,0.28236,0.253474,0.302486,0.215492,0.168545,0.121929,0.075615,0,0,0,0.12289,0,0.052942 +0,0,1,0,0,0,0.31294,0.16076,0.23274,0.550519,0.377164,0.357935,0.544787,0.453707,0.156598,0.419224,0.879101,0.538698,0.379195,0.351397,0.383874,0.500439,0.257838,0.201386,0.171267,0.211185,0.196559,0.438764,0.508107,0.446008,0.531159,0.485614,0.402225,0.273696,0.355323,0.352918,0.464863,0.236589,0.12109,0.149257,0.170894,0.216913,0.214159,0.278028,0.500209,0.532544,0.450134,0.181461,0.281674,0.180628,0.277022,0.204879,0.207343,0.145482,0.42065,0.27183,0.872506,0.470744,0.247439,0.468812,0.421471,0.470169,0.492786,0.454949,0.252896,0.201535,0.179711,0.179143,0.175408,0.110636,0.190912,0.285714,0.251443,0.270677,0.302097,0.309466,0.32598 +0,0,1,1,1,0,0.098455,0.088577,0.079218,0.345908,0.470274,0.835865,0.463357,0.751774,0.319159,0.289604,0.419864,0.389036,0.644697,0.486027,0.376693,0.54918,0.074826,0.301923,0.048739,0.255599,0.20822,0.374756,0.127159,0.224293,0.123837,0.262349,0.286246,0.082767,0.178193,0.224902,0.267816,0.205795,0.068359,0.340051,0.118293,0.213459,0.190731,0.21393,0.170722,0.294354,0.189529,0.177995,0.136974,0.056729,0.062661,0.085737,0.127241,0.109454,0.328896,0.765769,0.918808,0.541826,0.276636,0.34292,0.109863,0.264467,0.178781,0.2149,0.210807,0.069362,0.169102,0.229801,0.123426,0.148866,0.050942,0.380952,0.2922,0.360902,0.236153,0,0.342518 +0,1,1,0,0,0,0.278504,0.360188,0.29315,0.515101,0.337337,0.500074,0.570533,0.401525,0.281365,0.597712,0.514458,0.596788,0.567203,0.530883,0.423707,0.367813,0.365201,0.650212,0.219544,0.394345,0.325816,0.66936,0.706367,0.498167,0.564152,0.636381,0.560606,0.2994,0.290377,0.262581,0.350127,0.202868,0.25266,0.500377,0.057004,0.16327,0.232208,0.267594,0.375547,0.37464,0.298783,0.238138,0.312402,0.169474,0.155492,0.165976,0.166505,0.078101,0.668735,0.446913,0.850902,0.44142,0.312688,0.588557,0.496832,0.571916,0.593086,0.463995,0.52477,0.261155,0.195153,0.147109,0.160846,0.121754,0.081844,0.603175,0.111081,0.571429,0.216894,0.006707,0.203102 +1,0,0,0,0,1,0.467127,0.565615,0.305,0.62641,0.20087,0.576582,0.449134,0.60225,0.394404,0.738788,0.715651,0.354967,0.768395,0.604159,0.343029,0.453394,0.515615,0.668823,0.180014,0.338151,0.366292,0.561419,0.548179,0.368596,0.371091,0.452278,0.360744,0.157877,0.26858,0.202024,0.24648,0.150038,0.096366,0.329977,0.109663,0.083369,0.193144,0.162923,0.12577,0.130946,0.169456,0.053586,0.041401,0.0313,0.06021,0.015715,0.048231,0.020224,0.253888,0.213621,0.84341,0.382044,0.171542,0.296098,0.138963,0.109444,0.137204,0.166139,0.09907,0.044827,0.055133,0.006346,0.046753,0.031738,0.60458,0.222222,0.476671,0.210526,0.614064,0.605432,0.68401 +0,0,0,0,1,0,0.405975,0.283414,0.091655,0.900335,0.288788,0.393966,0.516363,0.416062,0.224773,0.465864,0.571196,0.416093,0.485985,0.471162,0.367733,0.449321,0.254934,0.258471,0.056077,0.062231,0.203477,0.269476,0.336889,0.270784,0.180351,0.378764,0.332777,0.138476,0.329496,0.289556,0.313964,0.214198,0.178715,0.241186,0.118175,0.053701,0.159565,0.173078,0.290683,0.237469,0.23301,0.186946,0.189794,0.092667,0.206685,0.141559,0.155155,0.094596,0.357907,0.253866,0.933487,0.403947,0.220491,0.185219,0.293692,0.223108,0.271833,0.357542,0.259036,0.168817,0.201237,0.156803,0.098211,0.092888,0.049507,0.190476,0.138705,0.180451,0.197293,0.136944,0.165253 +1,0,0,0,0,1,0.454665,0.299948,0.257071,0.685788,0.252015,0.711839,0.645936,0.699213,0.459508,0.587958,0.51666,0.312208,0.318508,0.171451,0.320218,0.640145,0.324478,0.360194,0.140462,0.17389,0.196694,0.265171,0.272931,0.291242,0.262438,0.338507,0.269957,0.15863,0.314633,0.237859,0.235893,0.247241,0.553166,0.791737,0.158683,0.126532,0.245387,0.270921,0.272801,0.342146,0.181922,0.156242,0.17055,0.135105,0.179384,0.163557,0.115084,0.108297,0.36841,0.208576,0.892586,0.376757,0.282946,0.159466,0.101399,0.146932,0.238306,0.204022,0.142449,0.120401,0.145839,0.037809,0.025663,0.062911,0.043344,0.253968,0.020741,0.240602,0.13289,0.270149,0.304563 +0,0,0,0,0,1,0.379999,0.254396,0.224031,0.558464,0.369265,0.475829,0.388473,0.518911,0.413194,0.638607,0.550006,0.442232,0.565736,0.496693,0.474059,0.52451,0.444058,0.455041,0.118469,0.3184,0.2522,0.385061,0.663616,0.476514,0.523713,0.725692,0.55298,0.275192,0.538224,0.333167,0.427611,0.287771,0.250873,0.310816,0.233181,0.217612,0.199895,0.227531,0.360587,0.352633,0.27218,0.458363,0.106564,0.125399,0.294196,0.086183,0.221112,0.107828,0.841813,0.433056,0.884354,0.5069,0.38361,0.386805,0.608476,0.495224,0.50648,0.608727,0.34434,0.168646,0.321426,0.174323,0.158352,0.118878,0.108656,0.253968,0.070443,0.240602,0.370239,0.081477,0.227578 +1,1,1,0,0,0,0.42126,0.179333,0.127813,0.578627,0.489081,0.250223,0.421523,0.298004,0.369808,0.251247,0.547645,0.331164,0.623171,0.526606,0.311989,0.159011,0.112057,0.08344,0.043975,0.10964,0.169816,0.139163,0.202954,0.24782,0.317626,0.567116,0.49034,0.371214,0.528638,0.559484,0.670019,0.412315,0.104901,0.143152,0.166432,0.317729,0.311769,0.24173,0.279342,0.453484,0.666982,0.534405,0.260816,0.463663,0.502039,0.407511,0.503313,0.20636,0.329061,0.227191,0.912492,0.510154,0.330596,0.199474,0.267441,0.34761,0.562756,0.777803,0.382992,0.324377,0.374584,0.512579,0.314946,0.32419,0.02291,0.238095,0.094768,0.225564,0.16473,0.149437,0.178167 +1,0,1,0,0,0,0.202337,0.119967,0.041219,0.036929,0.687196,0.336041,0.531636,0.775231,0.586269,0.44209,0.637227,0.6685,0.785528,0.311889,0.410348,0.431617,0.055722,0.082914,0.03272,0.122081,0.097571,0.061567,0.056697,0.1432,0.126218,0.236462,0.25315,0.165385,0.212135,0.271884,0.254372,0.213117,0.144793,0.35142,0.121111,0.799297,0.402052,0.29635,0.182165,0.450496,0.2392,0.669915,0.219629,0.339978,0.200902,0.302435,0.149195,0.154133,0.331301,0.583822,0.914496,0.776605,0.476277,0.179884,0.167947,0.376169,0.216113,0.315378,0.365427,0.231215,0.113101,0.227153,0.121323,0.134448,0.036519,0.507937,0,0.481203,0.125832,0.104653,0.18937 +0,0,1,0,1,1,0.354704,0.19526,0.22298,0.742495,0.420143,0.622157,0.56797,0.506714,0.182286,0.528922,0.48699,0.31267,0.323678,0.382476,0.306627,0.2164,0.377741,0.357088,0.109777,0.291584,0.421679,0.677572,0.756746,0.623513,0.771762,0.811651,0.648373,0.3845,0.611362,0.526061,0.552809,0.403116,0.161759,0.198179,0.084067,0.137187,0.187354,0.189256,0.412107,0.427511,0.338799,0.227972,0.230348,0.150683,0.192317,0.148425,0.163226,0.148815,0.562531,0.299168,0.88431,0.622299,0.409224,0.488881,0.380064,0.539316,0.730135,0.463236,0.429349,0.193334,0.252515,0.188263,0.142185,0.128963,0.040477,0.301587,0,0.819549,0.155308,0.037865,0.136601 +0,1,1,0,0,0,0.357328,0.158664,0.15333,0.468973,0.51816,0.288617,0.489237,0.391294,0.41997,0.528878,0.649743,0.319473,0.521899,0.507292,0.253605,0.065762,0.108626,0.084552,0.057914,0.183853,0.163219,0.128892,0.174575,0.222901,0.288913,0.412952,0.508625,0.374812,0.568289,0.617871,0.619387,0.402072,0.171088,0.166278,0.177058,0.597514,0.468211,0.190815,0.27086,0.358398,0.358089,0.337163,0.429545,0.407035,0.390515,0.557236,0.3994,0.205103,0.332587,0.221136,0.898902,0.606506,0.527872,0.267344,0.195924,0.213035,0.315412,0.345591,0.43219,0.333776,0.43994,0.448181,0.286149,0.291248,0.030818,0.349206,0.105713,0.330827,0.169064,0.17888,0.300047 +0,1,1,0,0,0,0.300387,0.192768,0.210702,0.655416,0.385253,0.280672,0.422183,0.433987,0.496422,0.425357,0.573059,0.474418,0.521257,0.385006,0.473128,0.323245,0.206544,0.294284,0.152333,0.313283,0.268384,0.408904,0.655395,0.488174,0.529956,0.600216,0.590474,0.419051,0.483885,0.354301,0.475161,0.313984,0.088553,0.084211,0.073441,0.161081,0.234872,0.256826,0.458294,0.411732,0.339629,0.168926,0.279949,0.157635,0.15817,0.164881,0.152235,0.106223,0.219423,0.227437,0.891977,0.479766,0.282554,0.358756,0.486798,0.407576,0.395278,0.46644,0.538835,0.316477,0.287899,0.226469,0.132728,0.217911,0.073458,0.507937,0.210459,0.481203,0.179326,0.000815,0.241422 +0,0,0,0,0,1,0.621432,0.538188,0.372086,0.506429,0.236319,0.486783,0.513891,0.746344,0.320317,0.738579,0.581289,0.544778,0.561092,0.408828,0.345715,0.320123,0.722271,0.672938,0.259481,0.55455,0.583243,0.789833,0.888747,0.631602,0.994596,0.955979,0.724295,0.423569,0.734808,0.497544,0.512497,0.423589,0.529407,0.377706,0.189856,0.19813,0.197272,0.200564,0.398051,0.330536,0.252717,0.229141,0.098248,0.10519,0.185718,0.097306,0.13935,0.06547,0.988506,0.416166,0.831388,0.330976,0.400142,0.314196,0.424126,0.419049,0.563645,0.549281,0.344221,0.285709,0.308581,0.16404,0.132632,0.175898,0.585123,0.650794,0,0.616541,0,0.575951,0.296366 +0,0,0,0,0,1,0.462246,0.341461,0.339497,0.700296,0.329791,0.719058,0.316819,0.487716,0.435857,0.653049,0.476883,0.365438,0.687013,0.727224,0.23914,0.08955,0.476328,0.527805,0.196121,0.294117,0.415117,0.420732,0.609242,0.652336,0.619304,0.765136,0.765084,0.405041,0.917822,0.60537,0.593421,0.389427,0.130185,0.192837,0.113949,0.052142,0.132424,0.192629,0.305461,0.595397,0.528937,0.322398,0.265327,0.233785,0.304637,0.242142,0.240766,0.088827,0.427572,0.225026,0.822458,0.407565,0.254765,0.28897,0.268154,0.516212,0.605835,0.460639,0.473537,0.218261,0.501824,0.336415,0.19304,0.15051,0.088471,0.365079,0.014021,0.345865,0.221428,0.308521,0.359373 +0,0,0,0,0,1,0.327329,0.407434,0.208917,0.772767,0.237606,0.475576,0.412958,0.407041,0.450619,0.508927,0.483122,0.272342,0.491114,0.407633,0.44084,0.516996,0.353782,0.641001,0.12155,0.252772,0.326008,0.384788,0.510856,0.629968,0.539408,0.770738,0.746822,0.343124,0.525333,0.578607,0.505697,0.314897,0.197271,0.332375,0.214923,0.105627,0.123577,0.228616,0.193989,0.3493,0.198137,0.220203,0.166362,0.066551,0.101557,0.097794,0.077342,0.081151,0.570922,0.331135,0.891236,0.354838,0.269879,0.343153,0.366628,0.490897,0.474006,0.508065,0.372853,0.205143,0.249884,0.186523,0.113984,0.127351,0.172407,0.031746,0.162317,0.030075,0.260088,0.160571,0.300609 +1,0,0,0,0,0,0.029982,0.377035,0.225127,0.461397,0.578228,0.624158,0.3771,0.542151,0.427653,0.548281,0.810753,0.780616,0.878598,0.386216,0.289287,0.664284,0.044098,0.9085,0.250899,0.438811,0.301322,0.319257,0.01554,0,0.061543,0.011528,0.000031,0.002339,0.024317,0.095149,0.043032,0.034175,0.031358,0.142685,0.064812,0.152581,0.11808,0.008279,0,0,0,0,0.029169,0.041242,0.007164,0,0.007788,0.003797,0.359193,0.055035,0.813398,0.369932,0.11334,0.075883,0.065083,0.056376,0.069374,0.16282,0.090866,0.088798,0.061558,0.018952,0,0.042308,0.187854,0.238095,0.374615,0.225564,0.296765,0.403632,0.403385 +0,0,1,0,1,0,0.388843,0.191942,0.04585,0.639894,0.445185,0.296336,0.609102,0.181539,0.434909,0.107908,0.48696,0.333843,0.459381,0.142606,0.426253,0.226568,0.130796,0.105363,0.04908,0.174334,0.233537,0.120669,0.185291,0.236737,0.271206,0.301436,0.329461,0.228748,0.379256,0.492922,0.465071,0.406523,0.158137,0.217376,0.24909,0.241959,0.39985,0.189993,0.34605,0.532207,0.645886,0.37656,0.296369,0.275266,0.457879,0.51769,0.344438,0.274334,0.306403,0.253391,0.913886,0.507939,0.407197,0.270113,0.388428,0.340682,0.470658,0.59046,0.526906,0.233772,0.404498,0.526661,0.432805,0.416261,0.017211,0.31746,0.015031,0.300752,0.123743,0.127063,0.153055 +1,0,0,0,0,0,0.628921,0.782809,0.372797,0.67596,0.177876,0.780483,0.421277,0.528635,0.174896,0.169033,0.488352,0.276679,0.64228,0.378581,0.39917,0.707733,0.835584,0.749151,0.349565,0.346512,0.475211,0.277105,0.335283,0.30452,0.380632,0.437759,0.442281,0.281183,0.40315,0.361873,0.345156,0.226183,0.177835,0.219072,0.193084,0.146423,0.237283,0.323859,0.426418,0.461866,0.32904,0.258024,0.1983,0.10448,0.098233,0.161364,0.154622,0.107104,0.113292,0.172232,0.859134,0.317323,0.148521,0.439508,0.231927,0.254559,0.248596,0.214693,0.163224,0.121019,0.153015,0.174481,0.100714,0.171133,0.573627,0.222222,0.848078,0.210526,0.744068,0.853447,0.836483 +0,0,1,0,0,0,0.173046,0.819296,0.374413,0.507085,0.328789,0.341546,0.506144,0.628753,0.429328,0.686399,0.492039,0.498991,0.649137,0.592975,0.450154,0.506996,0.322366,0.862744,0.329761,0.506537,0.550506,0.784323,0.539055,0.49898,0.485751,0.515177,0.655951,0.259584,0.402708,0.426493,0.441362,0.3501,0.184451,0.635756,0.26453,0.326433,0.303315,0.565155,0.399739,0.385627,0.273258,0.189529,0.271284,0.111448,0.193564,0.121591,0.138852,0.115281,0.701548,0.180545,0.853341,0.449645,0.509648,0.565461,0.457037,0.451909,0.458384,0.606527,0.570136,0.244447,0.356254,0.246741,0.176538,0.346634,0.041703,0.650794,0,0.616541,0.039677,0.189205,0.136688 +0,0,1,1,0,0,0.120819,0.289518,0.06538,0,0.446412,0.862041,0.447155,0.632987,0.491822,0.660764,0.728848,0.548188,0.734549,0.653049,0.397859,0.37359,0.124807,0.594087,0.062183,0.254877,0.329985,0.296942,0.211336,0.215178,0.188349,0.192677,0.170168,0.092366,0.167173,0.133405,0.13954,0.090322,0.207799,0.695062,0.173594,0.619593,0.68141,0.271537,0.334709,0.632421,0.418995,0.29675,0.117845,0.091254,0.157828,0.232483,0.117083,0.07965,0.505408,0.842833,0.908659,0.795318,0.581249,0.580169,0.312948,0.317265,0.422674,0.382351,0.222039,0.193237,0.236398,0.230614,0.092669,0.078738,0.011019,0,0.009967,0,0.0458,0.08037,0.06724 +0,0,1,0,1,0,0.242572,0.130768,0.264798,0.759194,0.413565,0.429807,0.510282,0.643657,0.352619,0.461234,0.556523,0.317538,0.57322,0.485122,0.393919,0.543487,0.268942,0.277977,0.203778,0.25873,0.332798,0.509539,0.412833,0.464861,0.521336,0.570181,0.556513,0.336743,0.513865,0.537802,0.517105,0.318619,0.075798,0.099596,0.077727,0.176005,0.258138,0.32542,0.293449,0.505835,0.343455,0.317789,0.185656,0.175129,0.251692,0.257334,0.254082,0.114844,0.363122,0.239164,0.837355,0.589076,0.222326,0.382605,0.247305,0.387152,0.607604,0.615458,0.315491,0.2833,0.33828,0.260842,0.339281,0.221267,0.155201,0.349206,0.28135,0.330827,0.26206,0.008314,0.325431 +0,0,1,1,0,0,0.203795,0.077787,0.127304,0.506713,0.630331,0.325644,0.449338,0.36634,0.389057,0.341726,0.533829,0.315848,0.797214,0.786539,0.446543,0.198339,0.11597,0.093868,0.093979,0.224672,0.269651,0.146889,0.188512,0.313587,0.265748,0.571753,0.300051,0.305634,0.58974,0.647529,0.787472,0.463636,0.100222,0.102858,0.204121,0.261802,0.532472,0.189329,0.348124,0.538041,0.359505,0.391329,0.208395,0.233148,0.462643,0.453066,0.404896,0.232299,0.317236,0.278793,0.888623,0.465976,0.318554,0.161829,0.198041,0.442455,0.491622,0.881172,0.364029,0.484832,0.780237,0.709139,0.558872,0.60914,0.063129,0.555556,0.019252,0.526316,0.190266,0.031241,0.183395 +0,0,0,0,0,1,0.251632,0.292495,0.260799,0.685179,0.20022,0.495619,0.436554,0.465397,0.488621,0.502625,0.603295,0.412639,0.651059,0.459853,0.493458,0.458026,0.275921,0.549235,0.138327,0.273416,0.314867,0.439121,0.49848,0.504506,0.454904,0.706171,0.558389,0.322637,0.412826,0.363007,0.517065,0.265399,0.16116,0.252591,0.018903,0.062374,0.209302,0.179425,0.223822,0.303355,0.172074,0.122983,0.072608,0.104314,0.075527,0.082405,0.133718,0.056082,0.434201,0.345139,0.854691,0.516396,0.418266,0.32422,0.196675,0.282496,0.236671,0.393643,0.297155,0.178175,0.150365,0.106857,0.144264,0.074561,0.110364,0.063492,0.152497,0.06015,0.27632,0.194962,0.249689 +0,1,0,0,0,1,0.358683,0.49969,0.270434,0.523219,0.19947,0.541424,0.328727,0.491158,0.434697,0.394286,0.560969,0.333243,0.904218,0.726603,0.453856,0.362015,0.402406,0.681223,0.143784,0.403423,0.401717,0.526376,0.39863,0.5014,0.292194,0.578861,0.347666,0.203293,0.550669,0.358684,0.44169,0.31072,0.095646,0.353097,0.091112,0.223241,0.065377,0.49851,0.136837,0.37177,0.135205,0.130516,0.210878,0.066807,0.233391,0.083424,0.108792,0.095528,0.236775,0.437966,0.858481,0.445183,0.294991,0.546537,0.178563,0.473969,0.331237,0.380767,0.342767,0.101383,0.31176,0.134043,0.129657,0.242717,0.563746,0.222222,0.450565,0.210526,0.505309,0.441839,0.498375 +0,0,0,0,1,0,0.410823,0.299318,0.068724,0.558505,0.545393,0.477878,0.187376,0.475913,0.362602,0.575015,0.754813,0.438745,0.819279,0.609585,0.336631,0.332239,0.170689,0.225783,0.034854,0.082738,0.114134,0.085196,0.039964,0.139621,0.14376,0.232872,0.205484,0.172366,0.22772,0.185841,0.231474,0.133603,0.279404,0.718141,0.259598,0.312025,0.691312,0.496603,0.506475,0.905925,0.674031,0.235387,0.239111,0.425824,0.505028,0.145168,0.245643,0.133589,0.426158,0.582262,0.925124,0.710079,0.705469,0.327215,0.100605,0.279056,0.168358,0.211756,0.170996,0.27956,0.299682,0.1086,0.082866,0.063,0.163911,0.190476,0.18894,0.180451,0.26574,0.424287,0.381505 +1,0,0,0,0,1,0.855705,1,0.252225,0.59975,0.119965,0.713902,0.291881,0.690423,0.492025,0.663562,0.622975,0.592936,0.650283,0.637115,0.397089,0.296862,0.946279,0.603927,0.145149,0.233462,0.288609,0.481548,0.213699,0.203536,0.188746,0.432654,0.253132,0.125573,0.253458,0.355033,0.362729,0.283217,0.08204,0.126756,0.100211,0.068157,0.045407,0.080246,0.032485,0.096585,0.09988,0.062126,0.010717,0.027001,0.017948,0.041773,0.028145,0.023067,0.040488,0.086644,0.878866,0.455614,0.124197,0.256205,0.038502,0.087434,0.063412,0.186132,0.050734,0.067973,0.024272,0.054563,0.047072,0.051156,0.361027,0.253968,0.380507,0.240602,0.370525,0.386347,0.433592 +0,0,1,0,1,0,0.184163,0.439341,0.210555,0.574922,0.296217,0.535851,0.549626,0.498101,0.384526,0.655552,0.500171,0.585363,0.738803,0.417773,0.435152,0.365792,0.236344,0.726136,0.197804,0.280593,0.27632,0.306622,0.423238,0.393202,0.310474,0.466265,0.46198,0.204164,0.25549,0.256494,0.343956,0.209281,0.104545,0.603166,0.181695,0.254213,0.200316,0.261168,0.557911,0.483113,0.339991,0.238559,0.305708,0.196643,0.138044,0.110145,0.255345,0.118427,0.333303,0.442454,0.916195,0.462711,0.243263,0.318088,0.484502,0.518378,0.407876,0.434882,0.516652,0.183742,0.19897,0.188449,0.222935,0.146351,0.123697,0.333333,0.175212,0.315789,0.269826,0.268022,0.37501 +0,1,1,0,0,0,0.237524,0.151348,0.248328,0.547831,0.427854,0.512417,0.40569,0.508453,0.399414,0.320786,0.709181,0.347394,0.607814,0.290079,0.494243,0.353804,0.194698,0.324847,0.172357,0.258091,0.25413,0.622319,0.461394,0.564565,0.728811,0.584945,0.413171,0.364669,0.386055,0.323839,0.392881,0.252585,0.050616,0.143157,0.097511,0.19254,0.145606,0.397323,0.274997,0.358261,0.327175,0.204817,0.120791,0.118235,0.142399,0.148642,0.103346,0.076617,0.348708,0.425013,0.839664,0.440845,0.197191,0.374501,0.394075,0.503488,0.570418,0.542026,0.200489,0.221911,0.199142,0.158249,0.128903,0.16418,0.180012,0.380952,0.488118,0.360902,0.303289,0,0.409657 +1,0,0,0,0,1,0.297229,0.203388,0.080765,0.903695,0.28881,0.317405,0.503949,0.521011,0.304484,0.41664,0.512668,0.374262,0.64949,0.533184,0.394163,0.518613,0.151324,0.170668,0.0526,0.049708,0.084273,0.206889,0.18934,0.177267,0.224273,0.324695,0.242099,0.169319,0.307783,0.273003,0.266327,0.177529,0.109439,0.204353,0.127686,0.026722,0.160654,0.207968,0.188969,0.199603,0.224897,0.180635,0.115235,0.138788,0.20925,0.165569,0.136119,0.085181,0.261288,0.191287,0.926344,0.429466,0.209344,0.27518,0.241925,0.187919,0.22592,0.256977,0.137175,0.086532,0.175331,0.071813,0.063086,0.06963,0.069699,0.269841,0.151661,0.255639,0.138312,0.256845,0.268196 +0,0,0,0,0,1,0.313669,0.20741,0.253795,0.772172,0.436376,0.483187,0.253386,0.307609,0,0.486279,0.660633,0.597411,0.338244,0.193909,0.267927,0.272107,0.278918,0.409034,0.162081,0.264572,0.379814,0.402037,0.644413,0.460613,0.586117,0.695913,0.742059,0.369257,0.531603,0.584723,0.607241,0.359663,0.095627,0.136659,0.097452,0.109493,0.125449,0.114033,0.219992,0.21967,0.203865,0.139955,0.219497,0.06555,0.237327,0.216192,0.109399,0.106294,0.270873,0.22949,0.861312,0.294586,0.237361,0.262603,0.39747,0.342803,0.441045,0.367532,0.323301,0.157635,0.286441,0.197609,0.201383,0.141333,0.242477,0.666667,0,0.631579,0.041012,0.338835,0.233464 +0,0,1,1,1,0,0.156854,0.049831,0.127609,0.375524,0.662973,0.883879,0.31052,0.526823,0.429913,0.392458,0.58864,0.395925,0.772512,0.521428,0.454574,0.66619,0.171475,0.14356,0.144852,0.217553,0.393608,0.416923,0.408139,0.320837,0.361166,0.511494,0.364825,0.260558,0.315571,0.263688,0.233888,0.15072,0.092483,0.112785,0.169778,0.727092,0.304665,0.776709,0.37373,0.503159,0.43606,0.366497,0.122085,0.130938,0.301648,0.221339,0.215244,0.107996,0.534878,0.373604,0.888753,0.570641,0.497702,0.527441,0.537716,0.405882,0.521636,0.730138,0.359113,0.342148,0.308147,0.217888,0.15632,0.102607,0.052411,0.507937,0.055427,0.481203,0.177315,0.062678,0.230172 +1,0,0,0,0,1,0.566856,0.569638,0.261239,0.55411,0.129359,0.746495,0.484784,0.646344,0.645783,0.576665,0.514038,0.39719,0.583585,0.496744,0.432596,0.475963,0.654362,0.665944,0.140363,0.259254,0.377982,0.498937,0.359725,0.258082,0.206978,0.234402,0.297889,0.129095,0.23443,0.282716,0.232578,0.170642,0.376641,0.643487,0.16197,0.251671,0.51038,0.085401,0.431333,0.191224,0.163217,0.102815,0.079969,0.070838,0.089738,0.100572,0.089155,0.063944,0.695654,0.148983,0.861573,0.441816,0.440647,0.666396,0.191114,0.126629,0.243777,0.171101,0.146203,0.093351,0.098096,0.062911,0.030968,0.054577,0.946497,0.222222,0.993061,0.210526,0.879063,0.973829,0.972154 +0,0,0,0,0,1,0.152809,0.120921,0.272355,0.615879,0.311456,0.459036,0.55508,0.49409,0.582033,0.520061,0.688376,0.515993,0.787142,0.558234,0.461056,0.36377,0.191323,0.349753,0.156789,0.334863,0.235677,0.555506,0.527769,0.431933,0.482776,0.751369,0.409592,0.275023,0.391732,0.344623,0.444817,0.343499,0.073795,0.163209,0.130269,0.095367,0.133233,0.192695,0.314094,0.22337,0.251634,0.263385,0.111554,0.085016,0.109235,0.100215,0.10458,0.080342,0.27965,0.332508,0.856826,0.414483,0.122807,0.354851,0.274073,0.309618,0.34182,0.461058,0.203371,0.140061,0.135402,0.169566,0.132903,0.234336,0.063822,0.190476,0.006241,0.661654,0.105669,0.003141,0.05122 +1,1,0,0,0,0,0.538051,0.362847,0.25113,0.847416,0.353424,0.576989,0.248102,0.553122,0.307755,0.268048,0.423899,0.275702,0.340052,0.510099,0.280694,0.580485,0.617094,0.576273,0.163753,0.230541,0.432581,0.460695,0.631817,0.508163,0.54206,0.857895,0.569767,0.30817,0.51387,0.479412,0.516022,0.321784,0.179679,0.239605,0.180521,0.033497,0.16708,0.097222,0.35007,0.391242,0.200585,0.145192,0.107151,0.079245,0.104747,0.120366,0.104745,0.056315,0.472944,0.134492,0.860571,0.372758,0.203495,0.214794,0.287575,0.301011,0.502951,0.47759,0.193131,0.188797,0.215152,0.233007,0.120647,0.105024,0.650738,0.190476,0.779921,0.180451,0.602554,0.764816,0.71423 +0,0,1,0,0,0,0.20624,0.10595,0.195317,0.543468,0.474265,0.422844,0.527217,0.557981,0.465852,0.419681,0.576557,0.455743,0.565358,0.307639,0.491647,0.391941,0.1404,0.213511,0.138614,0.240839,0.215476,0.394367,0.481066,0.487418,0.498845,0.657871,0.635352,0.291178,0.458059,0.448871,0.580723,0.340989,0.053826,0.097775,0.132911,0.194807,0.268551,0.206246,0.39645,0.551033,0.340652,0.315059,0.302672,0.201039,0.282885,0.308791,0.380563,0.21998,0.338536,0.376566,0.864274,0.431085,0.360903,0.448771,0.395504,0.575341,0.571048,0.668519,0.539543,0.244864,0.306874,0.255294,0.247584,0.275288,0.050723,0.460317,0.048561,0.43609,0.082947,0,0.073623 +0,0,0,0,0,1,0.96342,0.756032,0.285085,0.49857,0.053782,0.571094,0.325526,0.51472,0.115386,0.115225,0.202464,0.080465,0.131605,0.308593,0.428584,0.72319,0.942241,0.586483,0.201787,0.431901,0.412092,0.404832,0.134451,0.282487,0.235044,0.532716,0.573692,0.340954,0.35326,0.119824,0.039012,0.127279,0.616715,0.890524,0.334742,0.106721,0.25384,0.223433,0.046527,0.085101,0.369846,0.431464,0.432709,0.307082,0.380771,0.179095,0.028927,0.084204,1,0.306102,0.879432,0.4626,0.408014,0.279421,0.190776,0.405347,0.230618,0.390508,0.229822,0.14205,0.131535,0.036829,0.037387,0.086334,0.765224,0.126984,1,0.120301,0.803946,0.980633,0.935893 +0,0,0,0,0,1,0.631734,0.43718,0.258675,0.855608,0.23659,0.426523,0.319701,0.448699,0.243494,0.349686,0.404639,0.434906,0.497666,0.328655,0.320411,0.341282,0.492826,0.496348,0.110724,0.280091,0.255097,0.382911,0.763604,0.499159,0.606374,0.870862,0.774743,0.424091,0.691869,0.441969,0.636224,0.413503,0.305719,0.197846,0.127979,0.059638,0.120621,0.135905,0.33056,0.293485,0.201847,0.190966,0.137983,0.123128,0.182772,0.102709,0.145896,0.087276,0.397073,0.266708,0.869022,0.352287,0.145201,0.237772,0.385405,0.302532,0.3136,0.45152,0.298952,0.293616,0.284727,0.197959,0.149305,0.161356,0.092431,0.238095,0.157924,0.225564,0.183768,0.176616,0.189465 +0,0,1,0,0,0,0.27858,0.247356,0.323875,0.653695,0.395472,0.787098,0.49227,0.591228,0.125611,0.435357,0.390518,0.326634,0.346733,0.33696,0.322027,0.283812,0.358017,0.562821,0.231624,0.378965,0.566638,0.769563,0.740732,0.59689,0.666973,0.690794,0.703667,0.396659,0.6024,0.504518,0.721155,0.404329,0.164968,0.270199,0.167958,0.193975,0.297882,0.288962,0.493027,0.424683,0.382822,0.246179,0.193023,0.151337,0.205694,0.187686,0.2533,0.144632,0.468335,0.268885,0.849987,0.320851,0.281222,0.51531,0.534544,0.447626,0.576601,0.556735,0.481813,0.34162,0.407122,0.231717,0.359457,0.298786,0.251043,0.698413,0.006142,0.661654,0.128512,0.270027,0.231184 +1,0,0,0,0,1,0.230073,0.394974,0.16022,0.620093,0.298469,0.6839,0.258451,0.522759,0.476795,0.537958,0.756361,0.813153,0.880823,0.48596,0.162723,0.656024,0.333055,0.750824,0.159022,0.295456,0.429419,0.371866,0.116166,0.040472,0.103892,0.066604,0.076967,0.002278,0.098087,0.099718,0.078548,0.149257,0.043645,0.138549,0.238288,0.071573,0,0.018958,0.07361,0.004141,0.07453,0.001402,0.017917,0.046303,0,0.00436,0,0.027043,0.24871,0.04285,0.886837,0.380762,0.154043,0.103915,0.385813,0.085679,0.13468,0.151624,0.068291,0.104108,0.0826,0.009923,0.003824,0.013894,0.264312,0.253968,0.303817,0.240602,0.266686,0.393468,0.378819 +0,1,1,0,0,0,0.308248,0.46557,0.220992,0.636464,0.230276,0.46309,0.584969,0.531111,0.552011,0.803538,0.522735,0.607335,0.687137,0.647014,0.405327,0.622788,0.456413,0.762449,0.152025,0.299499,0.354895,0.385475,0.502941,0.372046,0.477754,0.595654,0.553061,0.314924,0.492589,0.324525,0.467117,0.311099,0.195961,0.368431,0.114947,0.136565,0.199286,0.221196,0.389901,0.336266,0.31007,0.228021,0.209887,0.158356,0.210375,0.189541,0.21671,0.135761,0.590441,0.340751,0.859047,0.411987,0.257507,0.368052,0.408157,0.385156,0.44328,0.472438,0.448364,0.302596,0.330214,0.180577,0.23029,0.165857,0.130698,0.015873,0.001162,0.413534,0.431558,0.029441,0.251722 +1,0,0,0,0,1,0.429812,0.480625,0.381292,0.687593,0.315538,0.427629,0.28722,0.514143,0.325054,0.39832,0.612869,0.416709,0.536974,0.474104,0.445478,0.41911,0.419189,0.652831,0.346836,0.384266,0.335777,0.381266,0.352129,0.358109,0.257484,0.288011,0.284287,0.124392,0.314404,0.186667,0.197812,0.120576,0.371813,0.318622,0.254374,0.160309,0.138624,0.445595,0.452418,0.518648,0.275242,0.156526,0.075108,0.04093,0.052736,0.054067,0.057482,0.032617,0.36797,0.637912,0.865494,0.421639,0.172447,0.27157,0.312468,0.415921,0.26782,0.424616,0.241833,0.137196,0.226291,0.125979,0.052784,0.053259,0.260183,0.190476,0.220196,0.180451,0.354198,0.260055,0.363961 +1,1,0,0,0,0,0.695315,0.590469,0.172962,0.724971,0.292447,0.533255,0.229245,0.692499,0.199437,0.171181,0.587099,0.613184,0.786866,0.452009,0.264015,0.329934,0.67398,0.65786,0.128525,0.178716,0.346661,0.437016,0.385832,0.340954,0.262838,0.455972,0.221463,0.115486,0.240339,0.171492,0.472489,0.139989,0.18534,0.266622,0.190854,0.060251,0.081262,0.134602,0.050138,0.200385,0.10539,0.106772,0.016892,0.029654,0.028792,0.018505,0.06034,0.022332,0.181157,0.024962,0.882568,0.402283,0.078998,0.180429,0.120769,0.161862,0.087477,0.176506,0.03053,0.04484,0.076295,0.000158,0.046434,0.079435,0.840667,0.206349,0.922963,0.195489,0.74888,0.931533,0.880554 +0,0,0,0,0,1,0.257679,0.140958,0.132308,0.490937,0.438703,0.399481,0.332367,0.596995,0.532713,0.722235,0.606904,0.39531,0.68509,0.485715,0.334673,0.313129,0.175352,0.190426,0.077696,0.206351,0.206605,0.426209,0.222212,0.224899,0.150342,0.289686,0.203422,0.101555,0.212893,0.181581,0.253657,0.135467,0.151315,0.247665,0.259011,0.273977,0.24625,0.469871,0.353425,0.330026,0.261744,0.207705,0.089534,0.084069,0.171399,0.090239,0.16229,0.126966,0.442629,0.368734,0.910184,0.518826,0.338208,0.428153,0.211636,0.311585,0.228646,0.290178,0.129384,0.167185,0.201908,0.099207,0.09049,0.158139,0.019122,0.730159,0.025539,0.691729,0.048302,0.13878,0.159604 +1,0,0,0,0,0,0.49544,0.461376,0.289807,0.606175,0.301593,0.484343,0.179201,0.693006,0.407904,0.599212,0.617291,0.519341,0.622755,0.524658,0.454007,0.49411,0.542541,0.684737,0.207563,0.296793,0.306303,0.437911,0.3044,0.470999,0.366115,0.559662,0.256733,0.285186,0.432402,0.401083,0.701584,0.255584,0.270655,0.252263,0.099389,0.123154,0.279777,0.417128,0.375386,0.410105,0.298814,0.337448,0.132023,0.066358,0.080607,0.08761,0.070768,0.039713,0.239254,0.300893,0.840927,0.434152,0.168781,0.180485,0.233205,0.215301,0.143335,0.235211,0.038306,0.117612,0.164652,0.086131,0.213601,0.114375,0.431289,0.222222,0.186094,0.210526,0.615625,0.325493,0.594488 +0,0,1,1,1,0,0.177219,0.09428,0.057744,0.598074,0.609917,0.407134,0.42669,0.599855,0.418419,0.440296,0.53286,0.350279,0.570186,0.332508,0.26465,0.096553,0.079105,0.122766,0.033974,0.127026,0.147268,0.204354,0.035533,0.107253,0.100411,0.179618,0.156367,0.11198,0.218241,0.185805,0.366396,0.443275,0.090265,0.42509,0.200775,0.193447,0.328734,0.408249,0.134496,0.428682,0.259417,0.167107,0.185687,0.144967,0.227512,0.281317,0.398224,0.387884,0.365803,0.558132,0.919549,0.516221,0.436064,0.329498,0.154238,0.187313,0.237171,0.356888,0.280172,0.230666,0.311714,0.302436,0.390409,0.694808,0.00751,0.015873,0.01189,0.413534,0.044079,0.01214,0.050393 +1,0,0,0,0,1,0.877259,0.705711,0.306355,0.683565,0.158814,0.510663,0.241675,0.554878,0.281893,0.366488,0.576012,0.363746,0.599663,0.514624,0.300308,0.520673,0.572414,0.551865,0.164523,0.320023,0.283009,0.459318,0.463825,0.314977,0.343165,0.469667,0.349715,0.185223,0.338752,0.375406,0.402835,0.164342,0.988434,0.46133,0.087942,0.070578,0.215001,0.116648,0.220518,0.17699,0.16376,0.126871,0.076554,0.048035,0.043201,0.074951,0.034378,0.022188,0.337985,0.416958,0.846546,0.3825,0.240419,0.18681,0.304299,0.1418,0.081295,0.149483,0.13225,0.048036,0.103221,0.097564,0.084966,0.108246,0.265093,0.253968,0.38331,0.240602,0.249708,0.653846,0.655585 +0,0,0,0,0,1,0.206208,0.142908,0.273947,0.670927,0.387806,0.54667,0.441161,0.720557,0.384043,0.465161,0.613113,0.405488,0.374985,0.286676,0.365159,0.40314,0.216087,0.326531,0.265928,0.287304,0.292196,0.26686,0.310687,0.324018,0.22112,0.323864,0.340149,0.17959,0.278167,0.290274,0.31931,0.187385,0.154319,0.337704,0.171128,0.120523,0.24703,0.111062,0.301744,0.431665,0.224101,0.144904,0.104852,0.121378,0.194281,0.107463,0.088692,0.069641,0.387452,0.42753,0.835874,0.379098,0.276303,0.159899,0.152573,0.252514,0.145824,0.228531,0.127908,0.098546,0.121333,0.061082,0.093018,0.10434,0.109959,0.492063,0.037601,0.466165,0.172294,0.049735,0.125653 +0,0,0,0,1,1,0.120932,0.06291,0.183818,0.625957,0.268901,0.472298,0.589909,0.571309,0.596383,0.663851,0.632739,0.535165,0.912057,0.578253,0.412635,0.503799,0.154966,0.23616,0.088764,0.287729,0.281161,0.456463,0.401851,0.414115,0.375382,0.569737,0.336767,0.244263,0.33227,0.321064,0.409002,0.314962,0.025547,0.05682,0.148644,0.142975,0.143145,0.19452,0.216294,0.373998,0.315219,0.167928,0.088839,0.056654,0.126072,0.09444,0.092491,0.076647,0.306641,0.240173,0.893806,0.386915,0.17443,0.370804,0.414943,0.332332,0.358658,0.447759,0.171331,0.165252,0.135981,0.107481,0.106497,0.118203,0.127281,0.047619,0,0.458647,0.412223,0,0.214009 +0,1,1,1,0,0,0.158716,0.046523,0.029934,0.423074,0.589958,0.699931,0.610484,0.565427,0.575399,0.337755,0.29571,0.440217,0.308979,0.282428,0.369783,0.236054,0.045584,0.062968,0.025029,0.167399,0.116972,0.241959,0.07434,0.167686,0.218322,0.203309,0.152445,0.088025,0.155939,0.201949,0.30694,0.211139,0.07359,0.206798,0.14882,0.306354,0.399107,0.572036,0.270997,0.511799,0.442912,0.291349,0.256873,0.117726,0.227038,0.394677,0.592074,0.376896,0.362223,0.477513,0.935926,0.621448,0.380449,0.510218,0.262118,0.398958,0.436743,0.401479,0.258704,0.144747,0.34009,0.456771,0.309889,0.404209,0.005898,0.206349,0.00993,0.195489,0.033544,0.066733,0.048859 +0,1,1,0,0,0,0.250196,0.128578,0.1753,0.491949,0.414191,0.352799,0.651919,0.464551,0.144889,0.462923,0.905461,0.636334,0.539231,0.269452,0.397296,0.425025,0.208817,0.212052,0.131517,0.253579,0.198214,0.396814,0.339083,0.279387,0.481244,0.414298,0.382282,0.214078,0.345613,0.372431,0.373393,0.289107,0.09908,0.105164,0.149583,0.243991,0.135002,0.288843,0.47852,0.43675,0.494338,0.276046,0.212058,0.155869,0.215996,0.197884,0.240647,0.163703,0.297093,0.318821,0.874466,0.574664,0.242423,0.475406,0.400116,0.259274,0.499379,0.303188,0.210308,0.136826,0.243728,0.287406,0.197582,0.276903,0.20791,0.222222,0.156207,0.210526,0.314374,0.185853,0.253414 +1,1,0,0,0,1,0.348062,0.257388,0.070531,0.919973,0.258415,0.402822,0.387503,0.450099,0.431023,0.414253,0.492118,0.332872,0.716967,0.582715,0.400994,0.295201,0.150928,0.185566,0.037693,0.042545,0.041127,0.155215,0.172649,0.202467,0.157135,0.38254,0.280557,0.133822,0.240742,0.198527,0.236738,0.152705,0.078718,0.154119,0.166725,0.072357,0.088439,0.151896,0.190357,0.247476,0.204749,0.129724,0.116333,0.111575,0.104746,0.099915,0.094998,0.081653,0.279723,0.241153,0.945988,0.519028,0.227785,0.255135,0.193424,0.336281,0.193463,0.385339,0.323129,0.098726,0.164276,0.042169,0.056064,0.045228,0.045486,0.492063,0.026067,0.466165,0.095549,0.053263,0.082582 +0,0,1,0,1,0,0.132444,0.194498,0.170613,0.637398,0.423326,0.542017,0.382789,0.632432,0.44251,0.386603,0.45175,0.409211,0.557088,0.682249,0.240067,0.420037,0.12381,0.486065,0.150903,0.267396,0.215492,0.48473,0.411962,0.31703,0.351461,0.666069,0.503925,0.285576,0.437878,0.348292,0.435507,0.246535,0.090405,0.439102,0.111424,0.164594,0.126088,0.368,0.132986,0.160135,0.25315,0.325178,0.145346,0.120387,0.096603,0.167228,0.175728,0.095961,0.368355,0.778981,0.879476,0.371492,0.264463,0.371254,0.211093,0.203646,0.383496,0.881946,0.331766,0.162418,0.23397,0.173292,0.138488,0.125694,0.020151,0.619048,0.007771,0.586466,0.071881,0.08558,0.08453 +0,0,1,0,1,0,0.153733,0.193166,0.172533,0.504494,0.500435,0.3223,0.518497,0.544443,0.556717,0.421141,0.542566,0.491075,0.598121,0.4083,0.482491,0.170847,0.1377,0.473084,0.127689,0.327487,0.263234,0.376557,0.559402,0.397279,0.406618,0.610832,0.486099,0.261833,0.393226,0.361738,0.564765,0.261831,0.053199,0.333355,0.058471,0.239829,0.259305,0.232644,0.534792,0.393647,0.430266,0.278367,0.2625,0.193511,0.204458,0.196395,0.187249,0.096528,0.304236,0.519806,0.879214,0.466147,0.259951,0.43504,0.532265,0.382591,0.482674,0.544305,0.357823,0.237977,0.229839,0.25838,0.225686,0.112585,0.441481,0.428571,0.00104,0.406015,0.650154,0.061649,0.37117 +0,0,1,0,0,1,0.295787,0.429948,0.283831,0.702695,0.374323,0.635495,0.34721,0.477032,0.24455,0.534247,0.545106,0.209147,0.537715,0.440567,0.315423,0.135365,0.403131,0.756159,0.218037,0.341133,0.51084,0.470479,0.62674,0.643207,0.63899,0.960285,0.721292,0.522814,0.62776,0.54545,0.608842,0.411225,0.212768,0.348934,0.157919,0.11163,0.239666,0.188134,0.32491,0.465291,0.407302,0.191795,0.164279,0.098558,0.161792,0.172863,0.150219,0.128522,0.592883,0.231338,0.827424,0.340805,0.302561,0.26234,0.37695,0.455677,0.433728,0.593269,0.345268,0.285783,0.276641,0.223758,0.183539,0.174489,0.056803,0.111111,0,0.548872,0.130961,0.029142,0.079737 +0,0,1,1,1,0,0.087446,0.001502,0.090446,0.587341,0.554651,0.512363,0.617963,0.609653,0.680552,0.52791,0.987345,0.510291,0.988217,0.414103,0.652753,0.476555,0.035224,0.034565,0.085914,0.117508,0.144648,0.141649,0.219888,0.274654,0.311015,0.621601,0.275419,0.241869,0.276331,0.382561,0.335082,0.19968,0.044711,0.099004,0.138312,0.216618,0.202026,0.209833,0.401661,0.567211,0.574748,0.603094,0.166852,0.212129,0.307103,0.205734,0.159582,0.128309,0.372175,0.310596,0.902039,0.509468,0.338342,0.291439,0.453285,0.42607,0.683031,0.825271,0.315011,0.319123,0.249815,0.206445,0.184785,0.257036,0.07222,0.507937,0.070132,0.481203,0.138761,0.004887,0.133746 +0,0,0,0,0,1,0.40699,0.365091,0.313494,0.582824,0.307204,0.276919,0.621972,0.579157,0.221787,0.415923,0.561557,0.408055,0.535686,0.35457,0.382367,0.260317,0.452425,0.575443,0.197903,0.32977,0.411881,0.489634,0.734865,0.616069,0.740256,0.581567,0.582089,0.337886,0.526053,0.286592,0.449888,0.247266,0.125226,0.250664,0.134554,0.141405,0.163318,0.135765,0.202713,0.281206,0.345166,0.153595,0.100409,0.070044,0.148227,0.060968,0.118223,0.04915,0.336755,0.338369,0.853472,0.386486,0.295989,0.344396,0.378283,0.419846,0.44586,0.339597,0.280895,0.156386,0.289456,0.086736,0.0724,0.090485,0.040044,0.111111,0,0.548872,0.088858,0.018911,0.044929 +0,1,1,0,0,0,0.382029,0.299489,0.230684,0.703786,0.303487,0.542917,0.367391,0.618022,0.322357,0.465053,0.580048,0.308515,0.494224,0.516334,0.308822,0.243135,0.361392,0.479667,0.152256,0.267589,0.202153,0.377024,0.475719,0.30685,0.445778,0.591711,0.541238,0.365113,0.58361,0.493073,0.453983,0.331469,0.24027,0.314587,0.11025,0.098505,0.111598,0.289937,0.435752,0.452518,0.395776,0.266237,0.182244,0.251246,0.283092,0.207134,0.196627,0.134859,0.426434,0.362979,0.865189,0.450004,0.161345,0.444368,0.528167,0.247185,0.595575,0.594765,0.358311,0.326825,0.481625,0.307345,0.16047,0.208088,0.189751,0.206349,0.009186,0.684211,0.208419,0.06686,0.259201 +1,0,0,0,0,1,0.111862,0.052936,0.107243,0.583333,0.407245,0.652717,0.325723,0.552012,0.46954,0.681095,0.794054,0.729039,0.761738,0.514935,0.270651,0.619241,0.106446,0.280211,0.083978,0.114092,0.181607,0.12946,0.001973,0.0321,0.014763,0.077036,0.084631,0.044266,0.128836,0.117339,0.095267,0.096784,0.026501,0.082344,0.098509,0.121295,0.160858,0.159095,0.177651,0.086166,0.053853,0.127588,0.048849,0.068452,0.069999,0.029565,0.083218,0.036421,0.322892,0.383354,0.899251,0.474325,0.129666,0.137251,0.060409,0.052418,0.038889,0.129029,0.072164,0.086574,0.122537,0.002024,0.025296,0.030066,0.160171,0.269841,0.245789,0.255639,0.188733,0.268857,0.245565 +0,0,0,1,1,0,0.186706,0.056378,0.016571,0.099318,0.328705,0.916075,0.48372,0.623549,0.164737,0.556278,0.422823,0.270265,0.525066,1,1,0.942741,0.088425,0.078746,0.027659,0.147418,0.118047,0.19899,0.033816,0.098974,0.099914,0.019724,0.18527,0.262223,0.210451,0.132666,0.465059,0.247926,0.256497,0.386774,0.116473,0.442988,0.453853,0.47286,0.374097,0.793148,0.739844,0.232301,0.9172,1,0.600114,0.524013,1,0.58126,0.41885,0.384128,0.939193,0.727819,0.376718,0.563063,0.260109,0.510099,0.9731,0.681091,0.735026,1,0.750381,0.624944,0.598024,0.663578,0.005611,0.444444,0,0.421053,0.023168,0,0 +0,1,1,0,0,0,0.355832,0.384855,0.233101,0.663487,0.251364,0.171875,0.521,0.450678,0.392579,0.538383,0.479384,0.43504,0.61203,0.501515,0.496617,0.663984,0.383692,0.570122,0.186549,0.236163,0.262375,0.249717,0.403602,0.304487,0.327125,0.352664,0.384178,0.238492,0.327335,0.306963,0.396049,0.19428,0.171678,0.444181,0.093167,0.083994,0.194208,0.227839,0.257353,0.262645,0.288785,0.17946,0.149247,0.148616,0.16586,0.158028,0.245944,0.118717,0.249077,0.478018,0.862662,0.546091,0.139516,0.305334,0.326635,0.242118,0.316512,0.328093,0.242578,0.183452,0.162178,0.162905,0.277808,0.165064,0.018048,0.365079,0.019435,0.345865,0.12822,0.14979,0.163451 +1,0,0,0,0,1,0.261113,0.176974,0.32418,0.709467,0.356549,0.571736,0.260361,0.436509,0.325629,0.398747,0.596906,0.428843,0.451637,0.311017,0.326228,0.326258,0.22786,0.353474,0.194492,0.222079,0.244189,0.350513,0.317457,0.27359,0.283567,0.413414,0.351584,0.230555,0.458424,0.443727,0.544064,0.266414,0.1307,0.220177,0.040566,0.106392,0.174056,0.263328,0.253316,0.236224,0.254636,0.201169,0.241609,0.224959,0.335263,0.185016,0.106439,0.083267,0.214686,0.173699,0.851468,0.387673,0.129618,0.377151,0.158057,0.129409,0.22519,0.145202,0.194223,0.114733,0.22389,0.125453,0.122123,0.093363,0.093411,0.206349,0.176416,0.195489,0.147564,0.231301,0.245566 +0,0,1,1,0,0,0.173964,0.046916,0.123509,0.430457,0.767904,0.239495,0.546357,0.597397,0.432836,0.558058,0.420304,0.306606,0.697957,0.568945,0.243665,0.209393,0.04398,0.036381,0.159033,0.235533,0.149366,0.152058,0.102781,0.213663,0.19021,0.23713,0.436521,0.27213,0.425482,0.363469,0.668345,0.34485,0.05144,0.086388,0.205354,0.48925,0.459171,0.15489,0.283764,0.662581,0.331329,0.280784,0.314903,0.227449,0.470433,0.300967,0.451944,0.270601,0.336865,0.223688,0.862619,0.512125,0.533854,0.253943,0.216982,0.354465,0.345737,0.503849,0.639318,0.421544,0.611381,0.362233,0.6945,0.438312,0.04725,0.412698,0,0.390977,0.227682,0.038958,0.169247 +0,0,0,0,0,1,0.278661,0.187795,0.262843,0.717042,0.370331,0.4705,0.399577,0.611066,0.384851,0.491356,0.531222,0.282393,0.477946,0.552497,0.445893,0.319862,0.322019,0.378124,0.13792,0.324506,0.403402,0.484066,0.468324,0.632793,0.442327,0.597899,0.498562,0.31293,0.458497,0.357652,0.38896,0.288658,0.090162,0.17595,0.100857,0.059084,0.19605,0.10735,0.167963,0.378964,0.173215,0.148952,0.062099,0.075011,0.088428,0.086028,0.075146,0.055082,0.519601,0.372689,0.875163,0.553449,0.387845,0.307398,0.198674,0.465879,0.35572,0.364024,0.238545,0.156666,0.168239,0.127054,0.120271,0.131348,0.117019,0.238095,0.001487,0.225564,0.210563,0.025633,0.114009 +1,0,0,0,0,0,0.285987,0.188528,0.162773,0.667944,0.30301,0.473911,0.381973,0.572657,0.369915,0.592364,0.673533,0.608325,0.782241,0.423343,0.379004,0.273363,0.205083,0.288097,0.097829,0.157709,0.151156,0.290975,0.141904,0.194599,0.193326,0.25939,0.332326,0.22154,0.35673,0.36872,0.296367,0.208626,0.099436,0.154461,0.17741,0.134929,0.094832,0.316998,0.285696,0.272307,0.23125,0.220822,0.213691,0.200773,0.281286,0.265586,0.187767,0.121154,0.274876,0.264144,0.88932,0.436817,0.167345,0.359829,0.083142,0.178599,0.212808,0.300725,0.258946,0.189893,0.218808,0.228395,0.108424,0.076638,0.696318,0.222222,0.711693,0.210526,0.67811,0.710297,0.750711 +0,1,1,0,0,0,0.11772,0.047707,0.1175,0.467064,0.606531,0.582614,0.476953,0.687312,0.346191,0.352172,0.435686,0.403543,0.494681,0.516905,0.403119,0.378432,0.072857,0.135432,0.100008,0.257656,0.366671,0.350416,0.110855,0.176256,0.253253,0.358058,0.332075,0.126408,0.376843,0.389643,0.41635,0.165414,0.059721,0.258396,0.097217,0.198481,0.511576,0.169163,0.154036,0.306842,0.292218,0.307419,0.174387,0.129684,0.202422,0.199097,0.205561,0.155924,0.339344,0.560567,0.907614,0.482372,0.413714,0.2822,0.147913,0.239496,0.433335,0.467126,0.292801,0.183037,0.663626,0.508185,0.254768,0.083122,0.076032,0.793651,0,0.75188,0.087395,0.239456,0.19601 +1,1,0,0,0,0,0.139171,0.154099,0.112349,0.606269,0.521211,0.50878,0.268672,0.492224,0.318918,0.523454,0.625502,0.478658,0.593345,0.50136,0.386968,0.415412,0.096556,0.400074,0.076001,0.139072,0.141179,0.200958,0.122629,0.302328,0.37091,0.49515,0.491667,0.441156,0.720795,0.52388,0.794985,0.335713,0.041745,0.365321,0.10526,0.1085,0.206824,0.192444,0.296631,0.413664,0.357328,0.316208,0.221659,0.167076,0.238465,0.166209,0.250064,0.112823,0.329024,0.750387,0.903781,0.546473,0.264049,0.215071,0.250914,0.44438,0.704689,0.696311,0.498572,0.727444,0.729216,0.433374,0.377745,0.232144,0.022076,0.190476,0.025382,0.180451,0.071817,0.035933,0.046989 +0,1,1,0,0,0,0.61782,0.339156,0.196028,0.598284,0.239566,0.304144,0.401365,0.506736,0.121841,0.462149,1,0.74482,0.292704,0.274277,0.412889,0.243754,0.411603,0.337428,0.120471,0.20275,0.250397,0.59416,0.433204,0.516357,0.562709,0.627309,0.584793,0.376584,0.452287,0.524275,0.426291,0.275081,0.134855,0.111602,0.090349,0.178554,0.192463,0.444779,0.485061,0.469117,0.443999,0.24327,0.234841,0.192628,0.1771,0.265219,0.124417,0.162859,0.439268,0.243412,0.889886,0.499943,0.27948,0.446616,0.307287,0.452743,0.471241,0.485241,0.307153,0.194182,0.272085,0.321353,0.161489,0.185291,0.089999,0.238095,0.372498,0.225564,0.280771,0.400934,0.361893 +0,0,0,0,1,1,0.109032,0.057261,0.220608,0.473897,0.305948,0.672558,0.530144,0.712272,0.673544,0.793953,0.74454,0.562886,0.919653,0.533228,0.419769,0.439787,0.171512,0.277438,0.144874,0.292929,0.312657,0.206489,0.200228,0.260494,0.31408,0.364109,0.272231,0.192901,0.373267,0.34485,0.283647,0.170153,0.109233,0.156947,0.168369,0.206782,0.357278,0.137013,0.206985,0.31595,0.266219,0.102193,0.088022,0.118345,0.193038,0.215631,0.157975,0.083414,0.367217,0.380608,0.862227,0.527902,0.28661,0.313088,0.314065,0.378427,0.435682,0.424662,0.305483,0.197777,0.352468,0.317542,0.078937,0.102305,0.013743,0.253968,0.004689,0.75188,0.043062,0.011839,0.019301 +1,0,0,0,0,0,0.768183,0.812458,0.250407,0.623143,0.217415,0.523148,0.230661,0.677101,0.323429,0.495282,0.489991,0.686489,0.571206,0.756766,0.413325,0.378108,0.822183,0.684024,0.117666,0.277789,0.405276,0.418863,0.25764,0.345221,0.263409,0.320791,0.241499,0.160499,0.392493,0.357989,0.227324,0.183431,0.096685,0.291346,0.08982,0.133679,0.154075,0.352822,0.254441,0.303562,0.087985,0.052731,0.051285,0.034721,0.03183,0.059088,0.046678,0.045787,0.208773,0.008583,0.879432,0.395942,0.129895,0.214283,0.144699,0.069241,0.139663,0.159183,0.06753,0.028402,0.103785,0.020597,0.041448,0.056294,0.973682,0.222222,0.960516,0.210526,0.92359,0.966259,1 +0,0,0,0,0,1,0.244165,0.117017,0.127429,0.565189,0.437677,0.518322,0.642833,0.739074,0.558104,0.74057,0.566799,0.571037,0.840189,0.332771,0.163402,0.26808,0.197361,0.23791,0.100745,0.122717,0.290448,0.259561,0.150202,0.171761,0.251004,0.426861,0.289324,0.232507,0.261559,0.191681,0.282471,0.143068,0.120079,0.258701,0.114007,0.206009,0.392514,0.404935,0.27303,0.304379,0.22006,0.134889,0.115924,0.1052,0.131562,0.108974,0.164162,0.058278,0.450175,0.41078,0.907178,0.445289,0.458749,0.31195,0.300344,0.162691,0.390058,0.434832,0.260989,0.096494,0.130254,0.101776,0.071036,0.049758,0.039502,0.507937,0.241883,0.481203,0.111483,0.468965,0.4684 +1,0,0,0,0,0,0.889602,0.766633,0.160446,0.723774,0.133871,0.427436,0.305231,0.628532,0.44478,0.416948,0.517556,0.569538,0.510473,0.504841,0.257773,0.350712,0.761718,0.601262,0.085947,0.202113,0.200284,0.399749,0.198198,0.21179,0.167074,0.334988,0.167479,0.181386,0.189599,0.20373,0.328559,0.179694,0.077744,0.154003,0.011976,0.086531,0.045514,0.1208,0.123253,0.161158,0.125177,0.098554,0.075482,0.06043,0.040355,0.070277,0.071315,0.037341,0.115349,0.057422,0.922075,0.354112,0.035237,0.109847,0.116057,0.114272,0.131043,0.171175,0.046648,0.070216,0.036995,0.041913,0.050433,0.058934,0.743214,0.253968,0.794003,0.240602,0.669143,0.798711,0.773235 +0,1,1,0,0,0,0.277834,0.215109,0.18175,0.584111,0.349644,0.545356,0.50769,0.515249,0.254929,0.558955,0.367239,0.507562,0.470141,0.422245,0.305575,0.43725,0.316557,0.478459,0.162653,0.296726,0.239842,0.31248,0.502,0.399342,0.389948,0.455869,0.48026,0.219425,0.356323,0.267333,0.311277,0.213169,0.222088,0.285685,0.117823,0.221435,0.173259,0.207349,0.412173,0.360063,0.357162,0.203177,0.193792,0.161408,0.328382,0.224018,0.131325,0.093155,0.437487,0.254277,0.858742,0.374195,0.179707,0.403488,0.632086,0.573325,0.416919,0.348188,0.32458,0.17794,0.218719,0.116358,0.112891,0.07746,0.172951,0.142857,0.008157,0.135338,0.311388,0.04438,0.247212 +0,0,1,1,1,0,0.192543,0.06946,0.064996,0.369251,0.464419,0.614952,0.427388,0.655203,0.512752,0.548622,0.465315,0.465272,0.808243,0.410669,0.399695,0.502772,0.127383,0.142125,0.063261,0.198454,0.198103,0.263973,0.150148,0.20231,0.100945,0.316244,0.265451,0.230418,0.408644,0.43238,0.56139,0.402323,0.050036,0.119773,0.145532,0.29014,0.383904,0.411428,0.209858,0.281425,0.149105,0.190556,0.110777,0.218625,0.341862,0.267856,0.309521,0.201495,0.360001,0.374478,0.92177,0.581065,0.407158,0.417308,0.203767,0.249222,0.228141,0.347824,0.276653,0.229353,0.451063,0.309201,0.233271,0.328425,0.065107,0.444444,0.127395,0.421053,0.225309,0.098463,0.2443 +1,0,0,0,0,1,0.417086,0.322471,0.276365,0.734529,0.17413,0.767152,0.472332,0.827637,0.444256,0.760202,0.669456,0.46132,0.679223,0.732379,0.218647,0.241553,0.452573,0.542602,0.203404,0.244864,0.410458,0.602968,0.212939,0.312129,0.226383,0.770847,0.247666,0.115389,0.202511,0.333326,0.973268,0.268432,0.083546,0.137339,0.155513,0.012561,0.066075,0.247158,0.095065,0.18347,0.174174,0.164431,0.106923,0.047968,0.035412,0.033807,0.081019,0.018785,0.224987,0.102713,0.846023,0.498985,0.062252,0.218712,0.018863,0.152046,0.068766,0.188351,0.072104,0.064675,0.048034,0.025959,0.091412,0.047655,0.074935,0.253968,0.063284,0.240602,0.104269,0.070066,0.129771 +0,0,1,0,1,0,0.177414,0.202468,0.155883,0.563627,0.462262,0.213058,0.55755,0.593736,0.483131,0.836,0.540393,0.477015,0.499617,0.524942,0.432298,0.617289,0.181681,0.446484,0.142464,0.323176,0.367999,0.380489,0.583549,0.561281,0.464757,0.619284,0.472428,0.365676,0.50611,0.373702,0.499278,0.2936,0.097255,0.292109,0.122578,0.233237,0.4112,0.296603,0.532712,0.507242,0.282727,0.253857,0.217422,0.161028,0.29047,0.269317,0.277042,0.121824,0.290391,0.627364,0.870633,0.371197,0.280752,0.32018,0.4427,0.405132,0.423585,0.427162,0.548415,0.210961,0.347328,0.203381,0.18896,0.148939,0.332896,0.365079,0.048737,0.345865,0.541517,0.020198,0.3609 +0,0,0,0,0,1,0.41457,0.299236,0.189601,0.650312,0.333612,0.403536,0.40987,0.395865,0.260284,0.251511,0.341608,0.496998,0.68314,0.371761,0.363637,0.297016,0.323561,0.408087,0.123057,0.273084,0.405808,0.484304,0.482026,0.479581,0.557403,0.711589,0.704861,0.404122,0.563757,0.518525,0.405722,0.30394,0.155133,0.28673,0.067101,0.436145,0.397117,0.370759,0.632333,0.402724,0.373114,0.405172,0.420622,0.209368,0.306033,0.341016,0.198977,0.103525,0.40708,0.405084,0.86876,0.553654,0.592647,0.51431,0.6235,0.416699,0.865143,0.843644,0.459883,0.264218,0.394303,0.413518,0.152088,0.230626,0.069457,0.761905,0.118563,0.721805,0.184166,0.114981,0.25408 +0,0,1,0,0,0,0.321401,0.182252,0.190606,0.707852,0.467847,0.006722,0.711978,0.346019,0.668475,0.445811,0.453526,0.60676,0.623216,0.798083,0.283501,0.490184,0.187211,0.128699,0.092658,0.208564,0.250772,0.28774,0.357382,0.343817,0.512199,0.564878,0.449278,0.356349,0.467855,0.437888,0.473552,0.255727,0.146636,0.201742,0.06399,0.221497,0.356051,0.248403,0.405029,0.488777,0.464634,0.214083,0.258045,0.218303,0.308227,0.3041,0.162874,0.10527,0.300141,0.224163,0.896855,0.440381,0.301225,0.316524,0.318369,0.375403,0.522598,0.508319,0.23075,0.227954,0.278482,0.171001,0.161534,0.125814,0.014027,0.222222,0.127767,0.210526,0.04282,0.194518,0.11486 +1,0,0,0,0,1,0.327653,0.35062,0.240286,0.805318,0.154951,0.257865,0.188295,0.60295,0.668214,0.646934,0.648126,0.542587,0.8535,0.547772,0.46092,0.562972,0.329395,0.563794,0.13923,0.208712,0.099032,0.251345,0.15808,0.22257,0.183969,0.231752,0.154531,0.091001,0.174666,0.106533,0.113327,0.068421,0.036224,0.157659,0.064518,0.003608,0.10523,0.074337,0.208592,0.136877,0.123139,0.027671,0,0.009073,0.027752,0.015264,0.009854,0.009288,0.224913,0.097662,0.859831,0.380296,0.179314,0,0.30871,0.059331,0.123515,0.146864,0.074091,0.008372,0.017003,0.0444,0.007542,0.028941,0.438474,0.253968,0.553869,0.240602,0.428679,0.553543,0.51557 +1,0,0,0,0,1,0.171021,0.64431,0.373938,0.641196,0.286978,0.330515,0.52364,0.563232,0.373818,0.672727,0.326341,0.355637,0.73838,0.457105,0.471217,0.549835,0.248772,0.885551,0.344647,0.380907,0.54674,0.706329,0.652969,0.57853,0.595041,0.675694,0.756554,0.461735,0.782642,0.580691,0.703951,0.468398,0.087345,0.377979,0.139133,0.151221,0.215643,0.216443,0.336197,0.49668,0.310659,0.257306,0.216118,0.132229,0.157612,0.146768,0.156648,0.094729,0.373588,0.165967,0.766704,0.321104,0.326632,0.428023,0.465323,0.338654,0.522939,0.420597,0.389743,0.24361,0.421766,0.341487,0.233661,0.260854,0.216273,0.571429,0.089874,0.541353,0.256502,0.066335,0.272182 +1,1,0,0,0,0,0.515936,0.58442,0.237145,0.810956,0.212205,0.354888,0.322359,0.514662,0.333143,0.425845,0.508776,0.468496,0.699374,0.555302,0.46892,0.30275,0.421121,0.558457,0.141793,0.213573,0.239616,0.290653,0.18376,0.287841,0.308843,0.424813,0.378786,0.188538,0.364551,0.329045,0.3017,0.197948,0.360761,0.423953,0.500117,0.22668,0.198083,0.301845,0.168882,0.275756,0.41396,0.36155,0.188349,0.106339,0.234651,0.209608,0.146164,0.077715,0.545436,0.839572,0.953001,0.50122,0.450124,0.330765,0.208345,0.323428,0.56802,0.604962,0.531428,0.160902,0.348314,0.30226,0.130133,0.200855,0.433182,0.190476,0.328048,0.180451,0.507231,0.450035,0.513244 +0,1,0,0,0,0,0.303432,0.198995,0.08586,0.852213,0.352705,0.36768,0.529555,0.452526,0.272796,0.617689,0.562485,0.51807,0.556714,0.636713,0.271586,0.330259,0.120002,0.128937,0.049421,0.052579,0.05886,0.117515,0.210692,0.167186,0.140396,0.312427,0.220977,0.128551,0.233408,0.191275,0.214476,0.155288,0.036121,0.193415,0.195785,0.184583,0.253135,0.284587,1,0.36763,0.37915,0.488314,0.186265,0.113456,0.216028,0.191718,0.177744,0.134199,0.327445,0.294833,0.935839,0.428211,0.202054,0.176791,0.42218,0.155781,0.250283,0.423042,0.123643,0.13424,0.139843,0.180653,0.064063,0.090897,0.023206,0.301587,0.04405,0.285714,0.099365,0.127966,0.139928 +1,0,0,0,0,0,0.381468,0.199851,0.050075,0.825516,0.331401,0.479448,0.453903,0.577188,0.31625,0.194954,0.400297,0.282678,0.507462,0.286395,0.387289,0.38234,0.172163,0.161347,0.046142,0.112549,0.102873,0.090018,0.02827,0.126567,0.065082,0.115042,0.317337,0.139901,0.329181,0.314977,0.429699,0.254025,0.088319,0.162932,0.137783,0.116709,0.180151,0.161734,0.182896,0.29873,0.406294,0.15439,0.229856,0.144387,0.25017,0.245703,0.386047,0.225871,0.282055,0.199307,0.931876,0.341486,0.215921,0.24722,0.089475,0.195944,0.211915,0.196532,0.543364,0.171604,0.263385,0.396073,0.466128,0.323023,0.057812,0.650794,0.032472,0.616541,0.117363,0.24943,0.250217 +1,0,0,0,0,1,0.354617,0.570988,0.277178,0.632552,0.133238,0.35035,0.417538,0.857355,0.570713,0.651609,0.724823,0.428346,0.630619,0.649337,0.359732,0.500606,0.412061,0.755428,0.174172,0.295679,0.299624,0.422239,0.392376,0.353836,0.293429,0.316168,0.211117,0.111092,0.255365,0.217742,0.195074,0.132524,0.149659,0.141142,0.031232,0.113303,0.135057,0.292182,0.28167,0.242369,0.134517,0.091228,0.06292,0.043178,0.007529,0.066368,0.030599,0.020898,0.405795,0.047754,0.848332,0.345205,0.050271,0.25398,0.058465,0.164894,0.189028,0.199372,0.117328,0.04245,0.038575,0.043234,0.021381,0.022677,0.281494,0.253968,0.366258,0.240602,0.28944,0.384926,0.359214 +0,0,0,0,0,1,0,0.877945,0.901952,0.259437,0.691311,0.829686,0.449818,0.618629,0.547988,0.631282,0.56852,0.409549,0.690857,0.514054,0.33319,0.289906,0.010466,0.994183,0.933009,0.399481,0.601706,0.245673,0.291806,0.299171,0.348783,0.4109,0.408948,0.064089,0.528827,0.383766,0.323016,0.423655,0.041595,0.372715,1,0.226096,0.294677,0.115866,0.117952,0.160215,0.098865,0.060775,0.027226,0.022686,0.031616,0.031829,0.035916,0.03314,0.381998,0.060191,0.72001,0.495173,0.534196,0.169648,0.136323,0.202026,0.20666,0.273715,0.210669,0.097659,0.327003,0.15359,0.09917,0.232859,0.197969,0.190476,0.4127,0.180451,0.299918,0.520948,0.430029 +0,1,0,0,0,0,0.619688,0.316086,0.066702,0.804038,0.307666,0.314008,0.367759,0.433272,0.307104,0.376045,0.46962,0.351082,0.56767,0.426063,0.407462,0.488817,0.169159,0.149355,0.02493,0.056269,0.09124,0.177689,0.476501,0.306046,0.273579,0.411528,0.317621,0.244102,0.354832,0.252072,0.280508,0.244934,0.032041,0.150362,0.249501,0.034526,0.071492,0.269732,0.300965,0.264765,0.194166,0.168237,0.113886,0.117012,0.151609,0.14477,0.137217,0.109322,0.274049,0.254605,0.958925,0.547329,0.36611,0.349137,0.495973,0.332093,0.349896,0.406446,0.198707,0.180937,0.241469,0.10501,0.078397,0.158604,0.04695,0.507937,0.068526,0.481203,0.233406,0.083901,0.339899 +1,0,0,0,0,0,0.392968,0.39736,0.16571,0.64773,0.257435,0.483412,0.346548,0.590712,0.402133,0.436843,0.454893,0.334015,0.79211,0.516608,0.431253,0.20371,0.465795,0.629453,0.095057,0.172031,0.232142,0.232645,0.142834,0.189542,0.2006,0.327238,0.324564,0.166797,0.298024,0.320213,0.463939,0.291983,0.129998,0.282487,0.052248,0.143136,0.062529,0.113128,0.080394,0.153345,0.202038,0.121884,0.093347,0.047876,0.110766,0.208727,0.280242,0.151758,0.337618,0.163121,0.9023,0.397445,0.116981,0.13879,0.097998,0.132435,0.163159,0.278259,0.138144,0.110289,0.154829,0.10867,0.11111,0.157417,0.316742,0.222222,0.408044,0.210526,0.402253,0.400142,0.433574 +0,0,0,1,1,0,0.165309,0.036699,0.050221,0.480234,0.84865,0.507658,0.536921,0.392445,0.408175,0.456315,0.392244,0.475342,0.550006,0.528942,0.550942,0.33025,0.025706,0.01624,0.058596,0.123022,0.1189,0.141975,0.056713,0.175052,0.057247,0.18236,0.157275,0.091575,0.230831,0.255077,0.354433,0.243372,0.052544,0.109564,0.141071,0.291289,0.318037,0.440733,0.34815,0.664309,0.302923,0.240291,0.196926,0.181771,0.285332,0.278532,0.550485,0.280492,0.35822,0.2653,0.918765,0.608306,0.677868,0.318204,0.195484,0.258052,0.156856,0.313058,0.178906,0.092802,0.297185,0.374792,0.455347,0.425192,0.00637,0.365079,0,0.345865,0.07213,0.01287,0.032836 +1,0,0,0,0,1,0.409927,0.177913,0.119668,0.6177,0.572229,0.078231,0.362937,0.2258,0.626072,0.558967,0.736731,0.476288,0.154517,0.393099,0.564387,0.407506,0.137892,0.101591,0.138096,0.203497,0.368981,0.26332,0.112973,0.092962,0.181376,0.19324,0.169885,0.130898,0.20928,0.171636,0.3412,0.058575,0.01734,0.010916,0.063931,0.074092,0.192091,0.20909,0.083702,0.120225,0.188077,0.116219,0.088286,0.045507,0.100136,0.033849,0.129519,0.039553,0.262408,0.18843,0.872985,0.484295,0.364878,0.325012,0.09838,0.040769,0.187945,0.1865,0.163757,0.057705,0.185883,0.022151,0.100038,0.015092,0.291971,0.190476,0.419126,0.180451,0.314244,0.425717,0.39529 +1,0,0,0,0,1,0.56927,0.611425,0.192097,0.671812,0.221561,0.543654,0.244572,0.573246,0.411348,0.544886,0.643244,0.585091,0.328313,0.673969,0.373044,0.529244,0.829881,0.793983,0.145468,0.27036,0.346058,0.356096,0.252373,0.247435,0.188825,0.247594,0.069789,0.095919,0.208853,0.271704,0.333195,0.178333,0.026099,0.122716,0.096395,0.055668,0.114581,0.12767,0.043278,0.091935,0.041633,0.047117,0.059699,0.046828,0.077393,0.054386,0.008879,0.010013,0.081526,0.025561,0.891846,0.376174,0.343216,0.121802,0.002758,0.072779,0.049071,0.07496,0.017788,0.039468,0.056338,0.012792,0.029328,0.051874,0.563567,0.222222,0.36436,0.210526,0.616979,0.400202,0.560287 +0,1,1,1,0,0,0.280102,0.344806,0.222212,0.5004,0.305443,0.575639,0.592639,0.481278,0.313636,0.633678,0.53506,0.476912,0.568737,0.549362,0.433903,0.550868,0.338882,0.600428,0.239633,0.324609,0.256329,0.411802,0.489241,0.393807,0.466566,0.579019,0.522674,0.229185,0.324167,0.297154,0.302866,0.178657,0.301414,0.626083,0.116532,0.197361,0.14538,0.233663,0.431737,0.31282,0.468176,0.264678,0.256351,0.137363,0.189092,0.210328,0.243911,0.188775,0.647693,0.462935,0.8641,0.44199,0.235637,0.605971,0.413291,0.569341,0.552777,0.521738,0.494595,0.168218,0.278233,0.20544,0.136365,0.154231,0.013253,0.761905,0.013748,0.721805,0.017544,0.040456,0.035927 +0,0,1,0,1,0,0.275248,0.403857,0.134048,0.514392,0.183625,0.394698,0.668564,0.546492,0.537003,0.385729,0.564611,0.187274,0.397107,0.548451,0.623401,0.776604,0.240257,0.57727,0.125906,0.21045,0.20703,0.416707,0.339906,0.2209,0.234273,0.468973,0.319815,0.189769,0.422159,0.39516,0.442,0.248057,0.299234,0.638233,0.188505,0.531654,0.19175,0.31712,0.406338,0.526044,0.273767,0.211698,0.133983,0.143152,0.300554,0.259401,0.338382,0.170628,0.345311,0.719752,0.876731,0.520927,0.156136,0.435983,0.248401,0.221665,0.371705,0.244202,0.080026,0.117816,0.211708,0.10599,0.134869,0.130899,0.018256,0.253968,0.051696,0.240602,0.096564,0.202864,0.239445 +0,0,0,1,1,0,0.21157,0.073783,0.062477,0.538135,0.498287,0.672279,0.440346,0.540418,0.532812,0.194522,0.333676,0.392815,0.421221,0.429817,0.432058,0.433676,0.084412,0.107806,0.088841,0.2213,0.269331,0.276457,0.046397,0.180192,0.130481,0.35747,0.303578,0.159263,0.181602,0.32472,0.451149,0.305727,0.093868,0.163985,0.081543,0.174137,0.322782,0.310723,0.138762,0.434499,0.251663,0.203609,0.204644,0.221281,0.271596,0.245228,0.304085,0.18705,0.322745,0.375757,0.912449,0.657512,0.501956,0.446511,0.151537,0.336564,0.281851,0.495981,0.379492,0.265536,0.41637,0.516892,0.310616,0.506115,0.059806,0.761905,0,0.721805,0.030459,0.342685,0.195405 +0,0,0,0,0,1,0.34985,0.377123,0.185828,0.660065,0.25471,0.548,0.229295,0.531414,0.388633,0.586376,0.685282,0.443725,0.732309,0.412934,0.408882,0.615393,0.360463,0.621752,0.137645,0.245674,0.147416,0.263247,0.162281,0.297541,0.250009,0.534023,0.255114,0.263635,0.490959,0.512611,0.344115,0.168123,0.068836,0.144257,0.060409,0.063031,0.109036,0.093612,0.086024,0.073631,0.103044,0.070613,0.051533,0.069788,0.101171,0.117579,0.051242,0.025328,0.269569,0.078132,0.891193,0.394161,0.065221,0.10148,0.062864,0.086634,0.206509,0.182021,0.09677,0.124709,0.173804,0.338121,0.062332,0.068239,0.75246,0.253968,0.710509,0.240602,0.691252,0.706972,0.738219 +0,0,1,1,1,0,0.124814,0.092139,0.064578,0.506833,0.535197,0.589194,0.508874,0.648214,0.517916,0.447698,0.570816,0.459852,0.873264,0.524177,0.270965,0.510095,0.118293,0.262192,0.044613,0.135254,0.177371,0.108502,0.132735,0.097865,0.087275,0.289002,0.245628,0.089295,0.166444,0.178637,0.292802,0.168237,0.16903,0.39487,0.233063,0.333115,0.368035,0.211012,0.335507,0.351183,0.475908,0.496306,0.382724,0.22347,0.262459,0.192787,0.454712,0.126513,0.722425,0.781809,0.924906,0.576972,0.526077,0.356,0.34201,0.286438,0.384048,0.659137,0.470525,0.207293,0.278686,0.17704,0.180991,0.199211,0.013967,0.031746,0.010028,0.030075,0.098539,0.03832,0.063768 +0,0,0,0,0,1,0.026154,0.499981,0.463955,0.462526,0.672975,0.649663,0.482278,0.638402,0.547203,0.737568,0.625839,0.420754,0.777526,0.542194,0.452009,0.412705,0.05213,0.983975,0.453742,0.455804,0.527973,0.490643,0.310827,0.263955,0.067978,0.037164,0.030001,0.025812,0.14388,0.238478,0.101265,0.061966,0.021523,0.152127,0.347012,0.148391,0.183169,0.166882,0.194684,0.125719,0.139966,0.06235,0.017586,0.00937,0.017838,0.043442,0.046352,0.011359,0.364885,0,0.688344,0.356812,0.323657,0.274982,0.179536,0.085857,0.163185,0.138591,0.03034,0.024483,0.076229,0.055093,0.053734,0.008978,0.38394,0.238095,0.406513,0.225564,0.385171,0.39864,0.418769 +0,0,0,0,0,1,0.404765,0.270542,0.177537,0.700948,0.271548,0.599532,0.557358,0.468924,0.327371,0.552125,0.455585,0.420639,0.568957,0.370797,0.392346,0.325745,0.328757,0.353393,0.080523,0.214042,0.305989,0.412007,0.607452,0.428584,0.533237,0.639983,0.62303,0.330681,0.452761,0.366667,0.53555,0.332622,0.15357,0.224262,0.162499,0.084989,0.16561,0.397835,0.347891,0.296207,0.295048,0.203742,0.107685,0.07849,0.131842,0.092126,0.102965,0.124503,0.296157,0.28622,0.886924,0.41463,0.354335,0.435307,0.387832,0.285132,0.411893,0.327448,0.398287,0.136348,0.203001,0.164768,0.192655,0.165409,0.159479,0.650794,0.005181,0.616541,0.046821,0.237305,0.168695 +0,1,0,0,0,0,0.153565,0.056607,0.194413,0.694914,0.454345,0.551063,0.521109,0.503723,0.632194,0.575997,0.545525,0.360228,0.856125,0.455828,0.35001,0.449991,0.119067,0.135399,0.117534,0.333353,0.262455,0.32453,0.573699,0.404314,0.603182,0.794893,0.48875,0.279778,0.407983,0.332684,0.48889,0.265248,0.048951,0.081845,0.100387,0.126107,0.169782,0.255894,0.379043,0.265724,0.284992,0.327056,0.130719,0.113523,0.13393,0.158648,0.146898,0.101162,0.321331,0.244568,0.881218,0.337075,0.186133,0.281439,0.296444,0.412081,0.503335,0.702015,0.313225,0.195476,0.244871,0.15888,0.161347,0.150189,0.07893,0.285714,0,0.270677,0.180309,0.151972,0.164225 +0,0,1,0,0,0,0.264574,0.128282,0.238365,0.598004,0.563406,0.33051,0.468607,0.614129,0.367713,0.740597,0.532729,0.263067,0.459347,0.592338,0.262929,0.589772,0.28513,0.283244,0.175514,0.239654,0.389879,0.408555,0.536955,0.452312,0.498024,0.650569,0.374693,0.356423,0.46126,0.332586,0.546594,0.340712,0.117917,0.157446,0.189562,0.133637,0.354787,0.252748,0.46833,0.400191,0.459293,0.291611,0.155494,0.188475,0.209802,0.131944,0.316396,0.164258,0.500432,0.324078,0.858655,0.443133,0.317452,0.430429,0.260551,0.386921,0.518405,0.426329,0.196899,0.21899,0.23555,0.136681,0.198438,0.186395,0.069761,0.365079,0,0.345865,0.333718,0.138605,0.239878 +1,0,0,0,0,1,0.339764,0.246647,0.142384,0.650361,0.265428,0.562666,0.367106,0.539536,0.634844,0.626407,0.702406,0.529535,0.652548,0.503436,0.310698,0.301007,0.400988,0.453939,0.143795,0.229469,0.229772,0.254665,0.19276,0.161563,0.159929,0.291502,0.245129,0.317862,0.391478,0.174856,0.407243,0.238469,0.06237,0.062398,0.081014,0.102487,0.035986,0.04924,0.079275,0.120434,0.193937,0.133026,0.05917,0.062677,0.071123,0.049091,0.080828,0.034462,0.197701,0.116828,0.888056,0.435824,0.248821,0.198743,0.137557,0.110768,0.352502,0.307759,0.256028,0.30558,0.383195,0.130058,0.137561,0.194295,0.476953,0.269841,0.578804,0.255639,0.474095,0.572281,0.555729 +0,0,0,0,0,1,0.236098,0.228706,0.146089,0.814389,0.307968,0.387944,0.259593,0.741403,0.478116,0.613966,0.621558,0.568621,0.760806,0.675999,0.350555,0.631359,0.190704,0.479973,0.106576,0.169437,0.253131,0.341743,0.173131,0.208275,0.555624,0.329974,0.364363,0.19476,0.532574,0.397255,0.438447,0.162948,0.0185,0.04937,0.124457,0.029661,0.156698,0.088165,0.079362,0.177402,0.14323,0.033392,0.046371,0.025152,0.055988,0.02109,0.016171,0.027193,0.263198,0.153154,0.879127,0.387901,0.156658,0.148237,0.013091,0.119677,0.181624,0.080392,0.079903,0,0.079505,0,0.042327,0.010134,0.267674,0.253968,0.011406,0.240602,0.257916,0.011185,0.17029 +0,0,1,0,1,0,0.389243,0.234629,0.269169,0.753977,0.333702,0.501065,0.309499,0.731402,0.377789,0.349491,0.571522,0.230662,0.848985,0.600005,0.417616,0.408844,0.353094,0.338167,0.189729,0.251917,0.380391,0.526835,0.698679,0.552599,0.422041,0.590446,0.569321,0.345487,0.534316,0.486925,0.656187,0.309623,0.058205,0.094045,0.113949,0.135675,0.212121,0.336199,0.400016,0.473886,0.26997,0.250495,0.199311,0.174813,0.232917,0.19609,0.222285,0.091384,0.329135,0.161496,0.851729,0.349708,0.248171,0.48159,0.407337,0.400836,0.28088,0.353997,0.254809,0.280862,0.214738,0.155992,0.148615,0.091187,0.034867,0.190476,0.370504,0.180451,0.115707,0.483488,0.306188 +0,0,0,0,0,1,0.501849,0.294975,0.231802,0.64198,0.173722,0.444706,0.465647,0.567687,0.632964,0.676804,0.710546,0.55853,0.722982,0.594382,0.462067,0.48194,0.561918,0.413623,0.15318,0.347115,0.29324,0.678322,0.590736,0.43917,0.42768,0.586166,0.38117,0.30906,0.354198,0.351604,0.38087,0.231455,0.189626,0.166074,0.087648,0.140777,0.117029,0.164572,0.245323,0.266326,0.180449,0.158771,0.072685,0.062976,0.041706,0.057822,0.0924,0.046935,0.459191,0.175946,0.873029,0.353565,0.24592,0.37113,0.248889,0.383126,0.323661,0.397266,0.174134,0.17008,0.167046,0.157569,0.12338,0.116327,0.130291,0.142857,0,0.593985,0.124117,0.054702,0.142971 +0,0,1,1,1,0,0.258381,0.078984,0.071107,0.337528,0.588065,0.274566,0.308305,0.540561,0.348827,0.439535,0.436728,0.145011,0.151049,0.240039,0.169757,0.08118,0.062676,0.064121,0.051819,0.181436,0.145422,0.164407,0.090763,0.120927,0.128795,0.232564,0.188252,0.182868,0.35358,0.362987,0.42304,0.416546,0.201173,0.156425,0.242515,0.662951,0.498241,0.661667,0.325051,0.334258,0.390011,0.363163,0.350566,0.446391,0.660324,0.556986,0.981195,1,0.354566,0.306765,0.89581,0.705032,0.575739,0.57584,0.185697,0.227506,0.429318,0.580678,0.323562,0.486375,0.871138,0.852478,0.63688,0.958028,0.030335,0.968254,0,0.917293,0.070226,0.082915,0.084853 +0,0,0,0,0,1,0.404036,0.25087,0.290767,0.750261,0.284383,0.168594,0.179384,0.532868,0.634696,0.617134,0.619775,0.370761,0.491773,0.377278,0.452166,0.534364,0.289582,0.312685,0.158186,0.231871,0.266071,0.256225,0.166036,0.193031,0.250873,0.203053,0.148559,0.139849,0.22497,0.233491,0.256163,0.158045,0,0.094272,0.089586,0.016974,0.175781,0.147026,0.218741,0.202694,0.323382,0.132095,0.112286,0.158982,0.222293,0.087586,0.233924,0.077763,0.209655,0.271225,0.85321,0.410876,0.299042,0.181583,0.036837,0.097965,0.286652,0.126263,0.046935,0.092192,0.10533,0.028261,0.081335,0.048218,0.337471,0.253968,0.345849,0.240602,0.371024,0.432799,0.464744 +1,0,0,0,0,0,0.648898,0.638648,0.203326,0.734093,0.209218,0.468238,0.304663,0.633332,0.443948,0.558377,0.459448,0.350193,0.655722,0.450087,0.422235,0.358095,0.645259,0.671195,0.124058,0.170239,0.205483,0.196115,0.131455,0.118588,0.084448,0.290887,0.301214,0.206815,0.25498,0.241184,0.236975,0.178454,0.042737,0.145786,0.1588,0.072591,0.067034,0.08052,0.095659,0.060076,0.055012,0.060108,0.072587,0.088183,0.090035,0.061762,0.018366,0.046942,0.172968,0.211984,0.899686,0.374863,0.106267,0.157709,0.052403,0.07746,0.078607,0.251738,0.177146,0.114055,0.10273,0.091048,0.041988,0.062084,0.649524,0.222222,0.71795,0.210526,0.649831,0.750622,0.736061 +0,0,1,0,1,0,0.335137,0.311009,0.139289,0.58732,0.34214,0.430176,0.402904,0.441013,0.34138,0.605223,0.596649,0.46047,0.723073,0.764856,0.372032,0.493522,0.358308,0.55196,0.092174,0.230166,0.22409,0.443336,0.562074,0.48813,0.365314,0.62195,0.38793,0.284012,0.359562,0.452764,0.406243,0.256663,0.189916,0.33854,0.108489,0.179344,0.182908,0.300173,0.397968,0.430602,0.330123,0.225401,0.100542,0.159209,0.151344,0.176454,0.18552,0.111655,0.634564,0.473049,0.908703,0.489556,0.249316,0.40329,0.374829,0.266127,0.348481,0.528782,0.236118,0.211394,0.216614,0.274854,0.141743,0.129047,0.652646,0.222222,0.788412,0.210526,0.654147,0.773143,0.749666 +0,0,1,1,1,0,0.354207,0.210357,0.174013,0.563477,0.346101,0.294801,0.762124,0.493109,0.514574,0.621827,0.464183,0.478551,0.755534,0.775147,0.505663,0.67949,0.273946,0.264409,0.134213,0.384199,0.423336,0.40493,0.550632,0.479135,0.509656,0.893407,0.543391,0.417695,0.502715,0.374798,0.504627,0.445142,0.250489,0.247961,0.122402,0.315692,0.553229,0.232719,0.47859,0.605375,0.513974,0.628153,0.251666,0.165663,0.263309,0.161015,0.259321,0.237023,0.316024,0.373768,0.890496,0.499796,0.486623,0.379286,0.45494,0.594986,0.359275,0.553995,0.280936,0.240269,0.308861,0.159908,0.247951,0.271074,0.282529,0.365079,0.035649,0.345865,0.532329,0.074079,0.375315 +0,0,0,0,0,1,0.525655,0.36686,0.20023,0.726467,0.21593,0.591826,0.429285,0.49297,0.470069,0.570077,0.517208,0.440309,0.519494,0.524128,0.37606,0.429787,0.434707,0.430035,0.097499,0.26038,0.261734,0.383973,0.493793,0.511212,0.48392,0.568597,0.531906,0.256996,0.423833,0.345989,0.410776,0.248369,0.187427,0.233071,0.102677,0.092596,0.174662,0.228351,0.248952,0.217739,0.231192,0.194411,0.115443,0.123344,0.111587,0.096761,0.099888,0.076234,0.288463,0.210389,0.913886,0.480094,0.307016,0.289412,0.398559,0.401649,0.501998,0.365566,0.243499,0.166002,0.175542,0.09242,0.102557,0.064635,0.155476,0.111111,0.007276,0.548872,0.197409,0.056439,0.216653 +0,0,0,0,0,1,0.215932,0.302825,0.172217,0.551859,0.360503,0.682797,0.241034,0.451365,0.371751,0.498554,0.78864,0.877493,0.99392,0.458106,0.165481,0.456824,0.278819,0.632746,0.199894,0.335099,0.405051,0.370319,0.103638,0.074329,0.119123,0.110173,0.126284,0.070475,0.132657,0.201345,0.299816,0.327252,0.074872,0.371015,0.081954,0.24734,0.333221,0.009308,0.058749,0.324223,0.389459,0.072007,0.03661,0.078101,0.128652,0.049373,0.024381,0.201919,0.2941,0.404075,0.861617,0.424379,0.20972,0.033963,0.109102,0.135504,0.168863,0.11724,0.131859,0.17678,0.102987,0.161657,0.295077,0.415987,0.282274,0.253968,0.444347,0.240602,0.262328,0.545049,0.491194 +1,0,0,0,0,1,0.171415,0.085113,0.120064,0.845833,0.488677,0.378642,0.446743,0.491288,0.507957,0.357586,0.499698,0.286013,0.46301,0.404552,0.346302,0.337527,0.082041,0.081099,0.106081,0.133446,0.177191,0.119771,0.101923,0.14635,0.143025,0.245613,0.215181,0.14318,0.147713,0.201319,0.272351,0.148313,0.053526,0.148781,0.144887,0.109646,0.295083,0.178388,0.270368,0.282865,0.156373,0.205887,0.084812,0.135462,0.082315,0.129488,0.142092,0.136949,0.337875,0.26347,0.928783,0.543955,0.465203,0.204933,0.160393,0.223336,0.264399,0.429749,0.180449,0.227103,0.118249,0.142059,0.159983,0.148287,0.23408,0.111111,0,0.105263,0.271004,0.169293,0.365077 +0,0,0,0,0,1,0.283822,0.279081,0.283775,0.791627,0.338972,0.495008,0.391792,0.526482,0.182439,0.666535,0.524257,0.369857,0.636789,0.423259,0.495849,0.341305,0.322242,0.552233,0.192116,0.25845,0.361577,0.532473,0.520242,0.475238,0.703043,0.719548,0.671737,0.41233,0.571874,0.453066,0.544263,0.284979,0.069744,0.163824,0.193671,0.154471,0.117191,0.265157,0.225083,0.293242,0.302158,0.162874,0.139862,0.141194,0.153881,0.094398,0.209428,0.086376,0.376214,0.271114,0.907788,0.339314,0.400623,0.490811,0.371442,0.392507,0.535796,0.585986,0.298229,0.272094,0.311128,0.184448,0.115219,0.088327,0.083966,0,0.03043,0,0.135579,0.062912,0.093128 +0,1,0,0,0,0,0.532306,0.361773,0.162367,0.768207,0.221334,0.393933,0.299544,0.360969,0.374266,0.546031,0.639944,0.660311,0.843142,0.412625,0.441805,0.888125,0.414433,0.373927,0.102109,0.103634,0.168464,0.120645,0.055366,0.355184,0.241666,0.338362,0.176176,0.129476,0.248733,0.242835,0.329881,0.331271,0.096816,0.162548,0.203299,0.05015,0.214627,0.160434,0.219672,0.301222,0.206889,0.061718,0.055919,0.046994,0.068779,0.079783,0.036977,0.054065,0.303171,0.223031,0.905741,0.41718,0.250567,0.150818,0.109704,0.145695,0.130237,0.167994,0.082792,0.047109,0.172596,0.052287,0.11218,0.092194,0.499746,0.253968,0.58204,0.240602,0.454627,0.623222,0.566312 +1,0,0,0,0,0,0.901178,0.711695,0.238399,0.702332,0,0.40354,0.032214,0.575575,0.562515,0.659285,0.505736,0.629865,0.491911,0.604465,0.404169,0.383176,0.829992,0.557563,0.149318,0.318989,0.224694,0.310341,0.450648,0.329876,0.235472,0.227234,0.200463,0.138752,0.164363,0.200557,0.219221,0.22024,0.101644,0.12628,0.079018,0.045974,0.121749,0.022118,0.090938,0.090991,0.049558,0.039007,0.010902,0.018795,0.006693,0.000491,0.00777,0.00616,0.010778,0.088873,0.85064,0.337399,0.202152,0.037442,0.063613,0.079107,0.136087,0.077893,0.032807,0.030557,0.043922,0.028355,0.031029,0.025761,0.832583,0.222222,0.756578,0.210526,0.830513,0.769749,0.841194 +0,1,1,0,0,0,0.259823,0.360991,0.285424,0.581134,0.346716,0.435223,0.450239,0.505717,0.353243,0.624278,0.453857,0.544088,0.81913,0.46508,0.31048,0.302397,0.367926,0.687942,0.230304,0.397046,0.247581,0.381593,0.668808,0.536885,0.49611,0.663402,0.5507,0.331104,0.542653,0.411747,0.608388,0.373777,0.193659,0.38792,0.20964,0.215629,0.21421,0.25718,0.467064,0.404173,0.317745,0.170984,0.197741,0.143093,0.268776,0.190012,0.244804,0.151883,0.793449,0.395111,0.865711,0.368198,0.195661,0.397856,0.564007,0.498458,0.544334,0.474372,0.353547,0.152345,0.323118,0.261737,0.244637,0.277174,0.198356,0.111111,0,0.105263,0.249881,0.030012,0.219744 +1,0,0,0,0,1,0.335898,0.510993,0.517384,0.664977,0.221419,0.442093,0.552853,0.87894,0.489783,0.382496,0.809999,0.165677,0.338789,0.424896,0.661428,0.05967,0.449031,0.750496,0.436513,0.443222,0.328752,0.344109,0.382341,0.575966,0.30999,0.477165,0.924964,0.87266,0.947628,0.455425,0.836242,1,0.024901,0.305784,0.501879,0.103782,0.034665,0.081618,0.024214,0.18955,0.07151,0.031825,0.071353,0.065683,0.148582,0.051887,0.092471,0.072788,0.258956,0.092505,0.768142,0.491417,0.226162,0.117299,0.130809,0.09254,0.338528,0.232693,0.277551,0.301217,0.156889,0.109171,0.104359,0.323284,0.668119,0.126984,0.585795,0.120301,0.679256,0.57445,0.663446 +0,0,1,0,0,0,0.391915,0.197689,0.11689,0.684527,0.393206,0.393345,0.335035,0.483967,0.454324,0.386292,0.44822,0.297967,0.843149,0.562791,0.27249,0.615338,0.136957,0.164358,0.052083,0.206903,0.111435,0.349117,0.422855,0.240373,0.269889,0.5178,0.356508,0.277548,0.378247,0.375088,0.398993,0.306835,0.115204,0.172586,0.189269,0.119473,0.17944,0.328689,0.42543,0.275223,0.298112,0.273598,0.206158,0.229611,0.240155,0.211561,0.277588,0.116334,0.32291,0.314586,0.928914,0.472893,0.262338,0.441813,0.283355,0.30789,0.332699,0.433708,0.223403,0.26429,0.38486,0.224366,0.158049,0.203871,0.087841,0.174603,0.278095,0.165414,0.457716,0.476948,0.488095 +0,1,1,0,0,0,0.30245,0.257204,0.227758,0.703201,0.408121,0.417156,0.536995,0.407636,0.504469,0.244451,0.533097,0.239156,0.07186,0.407324,0.40553,0.45177,0.259387,0.41094,0.156646,0.244604,0.255749,0.341797,0.479489,0.478709,0.485695,0.641666,0.722905,0.644547,1,0.447021,0.752835,0.619313,0.189963,0.203369,0.057297,0.128666,0.143586,0.10284,0.322008,0.60209,0.43267,0.290641,0.231548,0.474202,0.588195,0.198481,0.481515,0.285414,0.275702,0.419093,0.876252,0.384756,0.215572,0.190297,0.233075,0.466005,0.422579,0.375772,0.430457,0.652165,0.956569,0.26738,0.408882,0.647143,0.526311,0.111111,0.001525,0.105263,0.543773,0.017235,0.285552 +0,0,0,0,0,1,0.545373,0.357981,0.158639,0.744633,0.271442,0.442322,0.372192,0.349821,0.311415,0.545161,0.418513,0.324738,0.534837,0.390787,0.385038,0.43535,0.514958,0.511747,0.0974,0.231406,0.335256,0.493984,0.631796,0.517829,0.426997,0.664382,0.503843,0.301565,0.486254,0.393981,0.429255,0.367268,0.290231,0.25762,0.162381,0.099368,0.207648,0.224106,0.299706,0.300811,0.190297,0.142082,0.084652,0.109503,0.146508,0.121093,0.153548,0.092378,0.63965,0.330725,0.900383,0.409786,0.315048,0.36612,0.316693,0.480418,0.270198,0.332858,0.198879,0.124434,0.327878,0.162603,0.096762,0.20946,0.081118,0.142857,0,0.135338,0.241894,0.040405,0.137604 +1,0,0,0,0,0,0.42166,0.347384,0.187511,0.703543,0.384056,0.352206,0.09023,0.510551,0.392044,0.702814,0.655036,0.422448,0.409919,0.341813,0.337406,0.417503,0.398276,0.523623,0.098225,0.191507,0.359646,0.347729,0.248891,0.20924,0.340275,0.368217,0.425296,0.202034,0.317684,0.364017,0.284311,0.261205,0.093203,0.242956,0.077433,0.117452,0.310461,0.64216,0.259065,0.233853,0.222241,0.135881,0.116971,0.089287,0.078671,0.129364,0.114544,0.081085,0.30385,0.406058,0.904129,0.399903,0.288901,0.357806,0.134218,0.142026,0.375799,0.259421,0.168629,0.121724,0.072083,0.171246,0.063038,0.122367,0.259202,0.253968,0.138137,0.240602,0.310798,0.197788,0.349368 +0,1,0,0,0,0,0.134528,0.409209,0.375734,0.56077,0.420273,0.375891,0.524273,0.473936,0.592031,0.318087,0.522554,0.345389,0.54747,0.50598,0.436758,0.437939,0.190889,0.786793,0.365023,0.398816,0.305643,0.283548,0.273871,0.305328,0.240954,0.394171,0.339812,0.181746,0.32813,0.341491,0.328259,0.18517,0.113631,0.43027,0.144065,0.146275,0.21337,0.115597,0.216346,0.204751,0.148344,0.11182,0.040965,0.035386,0.054583,0.077209,0.087172,0.059435,0.353042,0.560813,0.819627,0.374785,0.24796,0.209821,0.260795,0.216003,0.184765,0.254495,0.149871,0.112536,0.090954,0.169831,0.054299,0.041442,0.364974,0.206349,0.297941,0.195489,0.438118,0.342482,0.415007 +0,0,0,1,1,0,0.118929,0.025102,0.049363,0.429771,0.509186,0.777947,0.397948,0.659989,0.450749,0.652075,0.553525,0.222035,0.373149,0.413223,0.568996,0.444682,0.053944,0.056499,0.042324,0.199581,0.159213,0.445329,0.072323,0.098859,0.129185,0.206657,0.224796,0.178188,0.235574,0.218912,0.294823,0.129386,0.040407,0.139816,0.220031,0.260522,0.254057,0.395626,0.165191,0.233567,0.229366,0.16185,0.164799,0.164494,0.23192,0.168453,0.173697,0.10865,0.349479,0.334509,0.931832,0.602391,0.324603,0.699205,0.159237,0.149426,0.396508,0.345877,0.268795,0.274162,0.17428,0.231229,0.205144,0.101196,0.033625,0.698413,0.081353,0.661654,0.102029,0.219612,0.273056 +0,0,1,1,0,0,0.214372,0.070095,0.042766,0.227063,0.493987,0.688322,0.419444,0.594784,0.275556,0.493248,0.451281,0.185114,0.571282,0.053116,0.164258,0.128523,0.086388,0.122902,0.039431,0.272255,0.192412,0.329137,0.153723,0.110955,0.185617,0.251238,0.233137,0.208835,0.443302,0.519378,0.725046,0.726063,0.087009,0.14757,0.079899,0.601442,0.380042,0.412194,0.247876,0.297501,0.363729,0.193601,0.162064,0.212705,0.440071,0.400087,0.527003,0.431983,0.356218,0.431595,0.942286,0.801988,0.377366,0.59489,0.170657,0.128454,0.362075,0.328466,0.265511,0.331423,0.768109,0.597537,0.525073,0.900422,0.012279,0.428571,0.006914,0.406015,0.121886,0.016057,0.230144 +0,1,1,0,0,0,0.309031,0.162026,0.102126,0.178007,0.675938,0.038725,0.757229,0.568748,0.19189,0.976841,0.254665,0.205474,0.599772,0.46033,0.468776,0.446184,0.118193,0.082674,0.042666,0.188983,0.148628,0.397483,0.411294,0.328517,0.510279,0.654925,0.553611,0.41511,0.493962,0.411417,0.51713,0.369519,0.083883,0.107715,0.106023,0.343769,0.218013,0.343614,0.463524,0.757635,0.878074,0.601015,0.36287,0.260476,0.345659,0.363268,0.302549,0.17269,0.273021,0.18711,0.915716,0.708065,0.348892,0.578279,0.511451,0.396152,0.798629,0.84206,0.53063,0.440478,0.567448,0.283245,0.211781,0.336479,0.014921,0.507937,0.017457,0.481203,0.084176,0.011586,0.108396 +0,0,1,0,0,0,0.332081,0.321798,0.237473,0.578144,0.248963,0.488994,0.383485,0.482254,0.673913,0.549208,0.51397,0.482846,0.375296,0.663173,0.200913,0.312782,0.339712,0.513726,0.113133,0.239495,0.29982,0.366315,0.707683,0.58307,0.469078,0.705409,0.498217,0.301432,0.530485,0.522475,0.546304,0.350056,0.102196,0.272121,0.06487,0.110043,0.231579,0.344703,0.491745,0.418569,0.298313,0.27037,0.217226,0.106112,0.199158,0.192268,0.153461,0.169243,0.363398,0.437427,0.880477,0.554396,0.295517,0.266828,0.386609,0.399328,0.346544,0.521361,0.206763,0.129912,0.229605,0.22058,0.168276,0.101313,0.01301,0.031746,0.027062,0.030075,0.089555,0.126799,0.167974 +0,1,0,0,0,0,0.336897,0.331564,0.19282,0.663882,0.34937,0.586182,0.385497,0.543635,0.36633,0.485313,0.495113,0.350275,0.519907,0.494342,0.381748,0.354619,0.363529,0.596451,0.162059,0.231975,0.334251,0.340063,0.470837,0.475018,0.361179,0.552264,0.406566,0.23799,0.34085,0.361474,0.463545,0.311602,0.153206,0.257462,0.057297,0.12283,0.248772,0.294515,0.372405,0.51592,0.278201,0.295185,0.235546,0.152158,0.181628,0.145994,0.245708,0.149348,0.403977,0.292345,0.858002,0.413425,0.375216,0.331496,0.451838,0.465019,0.449984,0.48931,0.229315,0.262832,0.227399,0.30842,0.226208,0.30772,0.253528,0.761905,0,0.721805,0.011364,0.291111,0.156528 +0,1,1,0,0,0,0.279152,0.126524,0.071932,0.401023,0.603717,0.254884,0.492304,0.358367,0.38524,0.322497,0.596247,0.380064,0.345924,0.369435,0.309325,0.464746,0.07978,0.072469,0.036416,0.116442,0.137851,0.12001,0.07634,0.144185,0.162024,0.285382,0.30661,0.277486,0.458213,0.342948,0.368901,0.2934,0.091753,0.128854,0.11524,0.593889,0.500211,0.280453,0.319947,0.293054,0.312281,0.274018,0.323302,0.239358,0.392945,0.236273,0.186139,0.136636,0.329612,0.252963,0.928609,0.521232,0.354959,0.358975,0.136645,0.179462,0.278244,0.344187,0.381766,0.412781,0.546544,0.28003,0.213364,0.293333,0.028722,0.238095,0.056982,0.225564,0.134252,0.076674,0.141274 +1,0,0,0,0,1,0.227195,0.254846,0.251017,0.671161,0.300578,0.834903,0.370548,0.570613,0.460792,0.687961,0.673007,0.474528,0.598539,0.217563,0.287193,0.457338,0.297063,0.55946,0.235035,0.353575,0.508746,0.408269,0.337654,0.432231,0.392571,0.707745,0.749987,0.338751,0.572836,0.67047,0.530176,0.19441,0.058477,0.361827,0.100622,0.094377,0.305704,0.180909,0.170463,0.251095,0.215929,0.096928,0.095369,0.178185,0.231376,0.160334,0.143627,0.111288,0.32324,0.390564,0.842277,0.576277,0.660362,0.167915,0.159705,0.488201,0.508659,0.718974,0.393266,0.209566,0.341751,0.49294,0.234378,0.048907,0.176387,0.174603,0.168875,0.165414,0.293689,0.181489,0.291376 +0,0,1,0,0,0,0.458121,0.318947,0.153443,0.738289,0.264764,0.503626,0.363323,0.781302,0.445198,0.439034,0.311065,0.32426,0.724358,0.38822,0.335163,0.35391,0.511788,0.539153,0.142915,0.280732,0.353013,0.560687,0.665976,0.559607,0.650922,0.722728,0.644965,0.390277,0.660889,0.512595,0.502845,0.3181,0.296361,0.31492,0.151697,0.156492,0.351344,0.262255,0.438938,0.387888,0.432975,0.319187,0.20775,0.169157,0.366697,0.231161,0.217764,0.136722,0.629074,0.235891,0.888492,0.380192,0.398296,0.53099,0.530424,0.566884,0.747815,0.624817,0.384599,0.255714,0.564019,0.22622,0.155068,0.168266,0.114906,0.619048,0,0.586466,0.01324,0.306197,0.157527 +0,0,1,1,0,0,0.368612,0.105238,0.038609,0.123724,0.65661,0.283951,0.206953,0.38486,0.407187,0.357201,0.414012,0.56527,0.904534,0.306755,0.266678,0.508968,0.052867,0.028429,0.030035,0.092156,0.123844,0.206021,0.157283,0.262927,0.412869,0.461382,0.533005,0.356545,0.675833,0.673513,0.710058,0.367212,0.147965,0.095104,0.085535,0.525942,0.757269,1,0.455284,0.64602,1,0.657136,0.816807,0.580678,0.760081,0.743758,0.678503,0.313022,0.317622,0.23125,0.941023,0.740941,0.388921,0.469156,0.240698,0.358218,0.793909,0.577391,0.701324,0.615959,0.931162,0.749772,0.578878,0.446077,0.010124,0.650794,0.003272,0.616541,0.029474,0.056178,0.045328 +0,1,1,0,0,0,0.225035,0.386063,0.287988,0.536352,0.252194,0.537485,0.502472,0.656241,0.395605,0.737753,0.600059,0.471873,0.850346,0.469651,0.536924,0.421935,0.365746,0.738419,0.220556,0.473385,0.224135,0.538512,0.566164,0.494314,0.418022,0.664203,0.369121,0.240535,0.424128,0.307519,0.524594,0.268693,0.118797,0.298736,0.112364,0.104678,0.108541,0.233927,0.360584,0.208332,0.260118,0.136387,0.121271,0.107116,0.23602,0.085348,0.148477,0.079027,0.627825,0.294029,0.840709,0.444555,0.174861,0.306576,0.396982,0.253809,0.567972,0.486323,0.200903,0.25114,0.595517,0.114057,0.282864,0.145318,0.396233,0.333333,0.255872,0.315789,0.510902,0.080349,0.450711 +1,0,0,0,0,1,0.459001,0.522351,0.224822,0.584284,0.236172,0.631589,0.387665,0.547316,0.29461,0.469949,0.607133,0.478372,0.796662,0.548162,0.489322,0.551842,0.44121,0.680543,0.10882,0.275451,0.398472,0.263077,0.379937,0.291389,0.282503,0.321646,0.193388,0.203328,0.293818,0.269363,0.355967,0.190654,0.248767,0.24681,0.263473,0.300147,0.361634,0.293985,0.265403,0.248081,0.165341,0.164855,0.07041,0.032245,0.067062,0.086202,0.155364,0.050922,0.298489,0.181836,0.904696,0.417986,0.432944,0.301845,0.2905,0.269646,0.386322,0.380859,0.148078,0.075168,0.062667,0.069089,0.09061,0.093433,0.911611,0.253968,0.956802,0.240602,0.81193,0.947544,0.926262 +1,0,0,0,0,1,0.065763,0.080136,0.240206,0.592453,0.583098,0.410205,0.372318,0.543842,0.554809,0.227823,0.579721,0.461868,0.540389,0.524546,0.476288,0.681067,0.064955,0.332511,0.183358,0.169719,0.304881,0.364769,0.326971,0.300909,0.404895,0.441496,0.389443,0.252597,0.358571,0.318383,0.322017,0.258747,0.072373,0.230681,0.425208,0.072825,0.812321,0.368008,0.836817,0.375062,0.570092,0.181982,0.187035,0.075267,0.123023,0.101924,0.123007,0.094072,0.346505,0.634979,0.908267,0.486782,0.455277,0.137887,0.270008,0.242071,0.232766,0.269443,0.175368,0.140737,0.164691,0.158199,0.059763,0.164036,0.364842,0.222222,0,0.706767,0.381846,0.019569,0.241963 +0,1,0,0,0,0,0.157404,0.33748,0.217784,0.582293,0.25917,0.4163,0.579347,0.398914,0.588378,0.488919,0.660293,0.538566,0.804806,0.633802,0.467942,0.436195,0.191106,0.603351,0.117094,0.357024,0.211556,0.600388,0.576027,0.471353,0.361168,0.64171,0.495546,0.271247,0.407145,0.324282,0.424327,0.274255,0.138261,0.71016,0.101092,0.118899,0.099431,0.213628,0.362901,0.301081,0.15599,0.1793,0.122449,0.066391,0.085372,0.083759,0.13529,0.054138,0.352656,0.726363,0.859308,0.414431,0.138294,0.404829,0.453399,0.418606,0.385951,0.370929,0.320136,0.182778,0.238507,0.272622,0.197725,0.146489,0.042207,0.142857,0.004286,0.593985,0.054897,0.130569,0.172362 +0,0,0,0,1,0,0.129679,0.025885,0.030747,0.506903,0.539999,0.758982,0.377622,0.624356,0.427967,0.62128,0.530739,0.207393,0.343663,0.390281,0.548506,0.439246,0.056273,0.048048,0.028242,0.196966,0.157367,0.435712,0.075909,0.102056,0.136197,0.192706,0.238416,0.191708,0.239476,0.226104,0.288273,0.130535,0.026043,0.08483,0.186685,0.241393,0.276895,0.402722,0.172423,0.229418,0.245429,0.174678,0.174245,0.167605,0.248741,0.180779,0.156271,0.110234,0.357173,0.289183,0.923382,0.575871,0.316412,0.685559,0.201143,0.144557,0.38602,0.341729,0.281566,0.288273,0.173877,0.219612,0.209435,0.102665,0.107377,0.650794,0.072047,0.616541,0.131765,0.205951,0.278996 +1,1,1,0,0,0,0.187338,0.039516,0.021417,0.504936,0.836352,0.231349,0.632887,0.514197,0.340717,0.266589,0.286618,0.269344,0.399665,0.300128,0.308037,0.348081,0.023718,0.020189,0.044943,0.145679,0.075879,0.09204,0.074901,0.140913,0.134516,0.32411,0.192509,0.161374,0.236437,0.303734,0.358846,0.337184,0.020746,0.03754,0.066455,0.12668,0.166695,0.079284,0.132294,0.215009,0.13221,0.204739,0.15036,0.184879,0.200608,0.220019,0.254478,0.142241,0.339362,0.230752,0.930787,0.55192,0.382453,0.171512,0.164157,0.181423,0.205953,0.320999,0.125861,0.13343,0.20653,0.236298,0.19132,0.305534,0.028261,0.730159,0.063784,0.691729,0.116944,0.154691,0.287438 +1,0,0,0,0,0,0.724482,0.498989,0.214972,0.794591,0.233332,0.408606,0.26926,0.626812,0.396853,0.432957,0.525212,0.402303,0.524288,0.5855,0.314897,0.457737,0.826877,0.644884,0.146073,0.268486,0.443985,0.486836,0.425965,0.413111,0.388294,0.614044,0.332842,0.311561,0.410212,0.345465,0.27178,0.233952,0.086344,0.126617,0.073911,0.053347,0.228367,0.110158,0.195887,0.274989,0.159431,0.15707,0.091328,0.10845,0.143994,0.127424,0.071231,0.06378,0.298213,0.038497,0.850858,0.384894,0.443246,0.268747,0.213983,0.294746,0.25766,0.414755,0.204522,0.195365,0.377308,0.179893,0.078183,0.075597,0.801164,0.222222,0.588893,0.210526,0.764116,0.598351,0.711497 +0,0,1,0,1,0,0.101619,0.780315,0.265792,0.557254,0.39141,0.569983,0.541564,0.544119,0.419447,0.478161,0.55941,0.445068,0.41555,0.474506,0.312646,0.425577,0.195874,0.928557,0.245728,0.411033,0.232221,0.496535,0.391525,0.361343,0.400833,0.841186,0.594158,0.302828,0.542291,0.433672,0.437044,0.345314,0.127247,0.566047,0.171657,0.276138,0.142891,0.287673,0.264066,0.246549,0.188799,0.326002,0.150724,0.086318,0.195444,0.127696,0.156537,0.118262,0.434403,0.102202,0.832346,0.324756,0.184461,0.376053,0.233008,0.193537,0.261293,0.879331,0.367932,0.215504,0.3309,0.26598,0.194919,0.14347,0.15985,0.31746,0.101419,0.300752,0.238275,0.091672,0.274721 +0,0,0,0,0,1,0.510796,0.375288,0.199575,0.704191,0.179452,0.545742,0.390197,0.566404,0.312902,0.536761,0.645253,0.499432,0.560381,0.650236,0.426637,0.555629,0.456846,0.488671,0.105652,0.281078,0.280007,0.407923,0.474534,0.476454,0.409188,0.650282,0.452071,0.304383,0.40413,0.467324,0.468439,0.308684,0.289661,0.285533,0.180169,0.035967,0.113424,0.106549,0.169589,0.245332,0.138677,0.112762,0.084167,0.092844,0.117051,0.100537,0.090226,0.080547,0.515433,0.170073,0.896376,0.457479,0.190671,0.240109,0.200302,0.302029,0.299621,0.327697,0.253765,0.158686,0.085423,0.13014,0.066671,0.077645,0.072779,0.047619,0.216267,0.045113,0.081759,0.258745,0.173924 +0,0,1,0,1,0,0.385755,0.327673,0.350511,0.554375,0.52801,0.24759,0.614393,0.488457,0.301218,0.653538,0.557745,0.669041,0.545448,0.730263,0.352422,0.613181,0.604405,0.667678,0.202557,0.25424,0.349045,0.431229,0.49142,0.390455,0.368681,0.665024,0.451266,0.294943,0.438105,0.347208,0.444765,0.287995,0.183422,0.313354,0.148174,0.28142,0.374342,0.329513,0.307368,0.557478,0.237741,0.410469,0.198625,0.177425,0.315619,0.147411,0.220855,0.189375,0.494794,0.28923,0.849421,0.509405,0.315172,0.383061,0.272369,0.294796,0.336151,0.687403,0.296018,0.268507,0.275076,0.149543,0.199354,0.238198,0.109073,0.380952,0.086269,0.360902,0.249435,0.057346,0.220441 +0,0,0,0,0,1,0.470998,0.367117,0.232458,0.723703,0.232673,0.593943,0.482096,0.575122,0.578921,0.538323,0.519167,0.351272,0.544803,0.669467,0.353494,0.290443,0.545265,0.568031,0.185493,0.324799,0.320985,0.701511,0.513036,0.586794,0.547088,0.62762,0.563423,0.398846,0.575813,0.586659,0.441749,0.340345,0.229069,0.252846,0.258953,0.231651,0.20059,0.324029,0.325459,0.39686,0.264196,0.259159,0.286684,0.252398,0.317694,0.241894,0.174673,0.105632,0.509594,0.251144,0.89189,0.564674,0.30257,0.470518,0.460098,0.625496,0.546444,0.529886,0.306355,0.375032,0.292015,0.293279,0.114255,0.255074,0.052436,0,0,0,0.138201,0.054533,0.096714 +1,1,0,0,0,0,0.164488,0.331801,0.254304,0.759577,0.23585,0.462648,0.472373,0.467797,0.451239,0.569845,0.767587,0.599849,0.632206,0.410276,0.269279,0.293599,0.152972,0.689031,0.189641,0.210015,0.207186,0.300297,0.35627,0.315068,0.344245,0.403186,0.438672,0.352888,0.362828,0.284852,0.396562,0.227083,0.02667,0.305493,0.144124,0.079358,0.054629,0.122963,0.248312,0.181415,0.221321,0.106097,0.177307,0.203361,0.161262,0.149369,0.157956,0.094096,0.296139,0.329276,0.858045,0.365255,0.114975,0.136772,0.298137,0.211204,0.361627,0.252557,0.252028,0.257182,0.197742,0.04614,0.072179,0.062024,0.321334,0.222222,0.397994,0.210526,0.371033,0.415885,0.429611 +0,0,0,1,0,0,0.010275,0.159246,0.115907,0.004678,0.607067,0.87328,0.484411,0.725762,0.472291,0.694531,0.668388,0.567496,0.898026,0.725365,0.508742,0.531246,0,0.304652,0.101713,0.282041,0.164294,0.295391,0.140793,0.145666,0.075583,0,0,0,0,0,0,0,0.035316,1,0.265704,0.348081,0.232951,0.206848,0.278328,0.309158,0.222637,0.13848,0.118118,0.098484,0.140975,0.145309,0.152673,0.113281,0.38075,1,0.89851,0.658975,0.360629,0.26571,0.237985,0.305459,0.436079,0.31918,0.224055,0.155501,0.22427,0.15522,0.124391,0.131163,0.432784,0.142857,0,0.593985,0.586663,0,0.299158 +0,0,0,0,0,1,0.199972,0.15696,0.157012,0.628549,0.325996,0.330492,0.479064,0.722688,0.475707,0.529306,0.622561,0.454213,0.795155,0.575051,0.429049,0.40184,0.1965,0.354518,0.091767,0.304588,0.236257,0.455069,0.713112,0.736277,0.584069,0.813943,0.434732,0.346292,0.600776,0.403782,0.524407,0.303664,0.095571,0.19677,0.08301,0.07136,0.189412,0.182543,0.293683,0.429547,0.297587,0.241844,0.115739,0.071588,0.115625,0.130963,0.135741,0.073557,0.306054,0.480922,0.906873,0.570212,0.391063,0.404316,0.406663,0.415425,0.378082,0.465924,0.182384,0.20434,0.36142,0.140581,0.105807,0.100076,0.055435,0.349206,0.005022,0.330827,0.114303,0.030297,0.108691 +0,0,1,1,1,0,0.173435,0.08246,0.084211,0.539015,0.699723,0.287917,0.546291,0.364617,0.413385,0.219992,0.521735,0.36429,0.72087,0.385473,0.298502,0.425876,0.067674,0.132643,0.104596,0.177636,0.13601,0.163764,0.202342,0.269752,0.248041,0.466727,0.334379,0.245487,0.392022,0.329072,0.304011,0.26824,0.049372,0.13299,0.202477,0.308614,0.373855,0.310787,0.617105,0.443079,0.47457,0.575269,0.331384,0.288572,0.338244,0.252801,0.227444,0.170539,0.340647,0.507521,0.930743,0.640571,0.613659,0.347065,0.191328,0.315705,0.428822,0.486383,0.412083,0.326175,0.512165,0.28833,0.190785,0.228664,0.107262,0.142857,0.02871,0.135338,0.174759,0.129022,0.156394 +0,1,0,0,0,0,0.444002,0.285349,0.134986,0.833206,0.338321,0.372697,0.606749,0.187238,0.469728,0.113689,0.48835,0.399827,0.512986,0.645573,0.417864,0.474979,0.208297,0.161585,0.063536,0.268677,0.219556,0.177873,0.365388,0.405139,0.283769,0.476746,0.432606,0.232654,0.426675,0.321349,0.517036,0.199119,0.158203,0.1906,0.117236,0.158116,0.282296,0.123913,0.266497,0.389584,0.247306,0.20142,0.129503,0.074518,0.169332,0.087053,0.253615,0.055305,0.266741,0.21026,0.914191,0.56072,0.50877,0.326704,0.379938,0.552665,0.393919,0.589604,0.417857,0.238138,0.242589,0.244472,0.216692,0.06044,0.110493,0.206349,0.268613,0.195489,0.235324,0.360026,0.316826 +1,0,0,0,0,1,0.169553,0.441408,0.278974,0.694768,0.309089,0.42653,0.443845,0.57146,0.524179,0.60243,0.648545,0.494918,0.727606,0.501062,0.378757,0.500545,0.201225,0.820134,0.281408,0.351606,0.498314,0.460948,0.50183,0.293315,0.290412,0.339334,0.35026,0.136107,0.238869,0.167259,0.281286,0.13768,0.077155,0.163107,0.06487,0.12312,0.164508,0.096758,0.214557,0.153978,0.04667,0.086566,0.013713,0.018735,0.032491,0.01429,0.049643,0.031901,0.270505,0.117614,0.83252,0.299964,0.125573,0.210736,0.113285,0.097549,0.078771,0.140129,0.099398,0.022145,0.063902,0.044161,0.05085,0.01857,0.483744,0.253968,0.469663,0.240602,0.453408,0.460567,0.501162 +1,0,0,0,0,1,0.468336,0.363911,0.256416,0.666463,0.190517,0.160931,0.182624,0.939344,0.663357,0.6376,0.840384,0.574646,0.592155,0.772431,0.571305,0.514445,0.39448,0.458208,0.128734,0.168442,0.292436,0.42437,0.302134,0.544314,0.366246,0.465531,0.415699,0.138875,0.293541,0.180835,0.378778,0.273971,0.189196,0.113085,0.219913,0.320562,0.462799,0.134701,0.290574,0.359379,0.215212,0.131859,0.115268,0.068461,0.069652,0.080722,0.071024,0.035358,0.293292,0.315665,0.880521,0.416955,0.075441,0.156673,0.173303,0.25067,0.238487,0.186975,0.12976,0.082916,0.048417,0.020418,0.053146,0.057945,0.341035,0.253968,0.30389,0.240602,0.45729,0.373224,0.472132 +0,0,0,0,0,1,0.40361,0.674746,0.313551,0.625004,0.103109,0.442419,0.236738,0.654679,0.465977,0.696986,0.658671,0.503298,0.794876,0.681134,0.438103,0.456503,0.701513,0.852945,0.203316,0.273235,0.148964,0.207158,0.13172,0.151874,0.079635,0.184301,0.106471,0.084794,0.130869,0.143678,0.228626,0.114239,0.037281,0.15569,0.105436,0.027894,0.115578,0.057828,0.04789,0.013755,0.033701,0.039976,0.002435,0.006821,0.013351,0.015853,0.024911,0.01521,0.139806,0.072218,0.808128,0.490084,0.26213,0.161866,0,0.097394,0.040831,0.160757,0.049313,0.053822,0.023374,0.00243,0.0216,0.036967,0.596312,0.222222,0.722101,0.210526,0.647661,0.761041,0.740349 +1,0,0,0,0,0,0.642311,0.566676,0.2656,0.777638,0.028214,0.477852,0.420957,0.678627,0.537101,0.532758,0.571326,0.411792,0.582386,0.565125,0.353436,0.448377,0.666233,0.631518,0.269251,0.363356,0.548736,0.446796,0.312739,0.314376,0.241319,0.461354,0.326658,0.2135,0.251379,0.237906,0.320652,0.202737,0.283335,0.174915,0.07532,0.129976,0.186778,0.238964,0.144126,0.191413,0.138122,0.153548,0.095253,0.085095,0.090402,0.050694,0.104029,0.046469,0.16252,0.249378,0.807257,0.288194,0.188828,0.372667,0.353653,0.335277,0.242728,0.467724,0.212511,0.107386,0.179301,0.182008,0.101573,0.064231,0.362165,0.190476,0.391375,0.180451,0.407922,0.433203,0.434589 +0,0,1,1,1,0,0.30414,0.180312,0.286678,0.487888,0.349069,0.479508,0.577206,0.676009,0.503158,0.500892,0.611548,0.43479,0.773772,0.562852,0.268279,0.585911,0.310978,0.350125,0.195725,0.277107,0.297778,0.394461,0.469514,0.49405,0.55673,0.625083,0.511733,0.285235,0.378197,0.403412,0.451257,0.311468,0.143511,0.191141,0.250969,0.217316,0.212808,0.215745,0.499192,0.45105,0.378881,0.360119,0.155735,0.144666,0.268747,0.199752,0.186735,0.108187,0.330034,0.274223,0.890278,0.536905,0.369211,0.298875,0.46924,0.338917,0.539584,0.549447,0.255808,0.252788,0.265714,0.231777,0.118802,0.200466,0.021065,0.238095,0.040026,0.225564,0.201484,0.193634,0.210003 +1,0,0,0,0,1,0.791859,0.43227,0.132557,0.772325,0.199151,0.343514,0.66512,0.256607,0.66149,0.042189,0.375418,0.380787,0.66499,0.564824,0.314123,0.44506,0.166168,0.037191,0.031466,0.016156,0.023734,0.064876,0.120476,0.101093,0.093391,0.145947,0.185153,0.146398,0.230211,0.224125,0.252402,0.166554,0.119358,0.017095,0.146765,0.057749,0.115829,0.173261,0.377859,0.184234,0.474777,0.370267,0.17493,0.15049,0.166792,0.171886,0.168353,0.144331,0.233562,0.196907,0.937843,0.540108,0.168101,0.17188,0.29935,0.134455,0.269999,0.209072,0.168338,0.159381,0.135337,0.14373,0.084987,0.077687,0.143203,0.730159,0.094972,0.691729,0.066161,0.371024,0.387144 +0,0,0,1,1,0,0.206089,0.117783,0.107243,0.394547,0.39075,0.579137,0.337191,0.69917,0.472766,0.413393,0.480207,0.318874,0.93081,0.70977,0.616001,0.431629,0.19323,0.255854,0.116115,0.20269,0.335166,0.342896,0.115127,0.108906,0.117254,0.328252,0.252082,0.142809,0.300085,0.279624,0.488136,0.350301,0.121922,0.192647,0.142362,0.308359,0.271448,0.527239,0.252285,0.267277,0.39697,0.307101,0.406966,0.28267,0.432635,0.599863,0.618337,0.320702,0.335726,0.493447,0.876078,0.503448,0.449703,0.537993,0.21093,0.190599,0.39624,0.782154,0.415408,0.464684,0.819948,0.652388,0.567314,0.741354,0.035757,0.650794,0,0.616541,0.107955,0.087516,0.100223 +0,0,0,0,0,1,0.457737,0.546433,0.254281,0.642332,0.202579,0.757686,0.239345,0.514464,0.365782,0.417009,0.478139,0.490421,0.713251,0.709519,0.477775,0.299638,0.567293,0.748841,0.16888,0.205912,0.298417,0.347488,0.259742,0.210395,0.31961,0.41853,0.264847,0.252459,0.32553,0.204485,0.29827,0.301826,0.07679,0.187508,0.090407,0.056813,0.044932,0.063662,0.11755,0.227258,0.148821,0.071775,0.061657,0.074761,0.123384,0.074465,0.048515,0.047143,0.205358,0.056449,0.836048,0.488794,0.155011,0.062574,0.066738,0.136786,0.198191,0.222468,0.109493,0.103818,0.160525,0.043281,0.073618,0.11361,0.506501,0.222222,0.500186,0.210526,0.540205,0.601882,0.599233 +1,0,0,0,0,1,0.418938,0.316848,0.205619,0.58914,0.202341,0.349677,0.59921,0.372491,0.638712,0.234676,0.761822,0.368768,0.976532,0.45136,0.458461,0.551243,0.453954,0.515255,0.101295,0.331294,0.234525,0.509314,0.455678,0.359667,0.390407,0.75901,0.431921,0.272114,0.481238,0.354629,0.425611,0.374213,0.194492,0.190443,0.164142,0.122132,0.158437,0.160603,0.212922,0.136399,0.226306,0.171344,0.109627,0.080035,0.139438,0.065273,0.085583,0.062941,0.247058,0.267981,0.877036,0.424738,0.227172,0.347117,0.335044,0.290437,0.254696,0.486396,0.223589,0.193828,0.286917,0.201222,0.128826,0.161737,0.020517,0.761905,0,0.721805,0.064589,0.077663,0.063282 +0,0,0,0,0,1,0.85253,0.680556,0.291908,0.731929,0.159844,0.460593,0,0.419282,0.386467,0.470405,0.604432,0.376392,0.478642,0.448617,0.322051,0.467775,0.725194,0.561371,0.181279,0.239683,0.287039,0.4311,0.530783,0.278623,0.252519,0.523942,0.305682,0.144594,0.315549,0.233074,0.285643,0.14086,0.212693,0.444236,0.203241,0.057703,0.385619,0.110813,0.351466,0.056469,0.062284,0.058333,0.025742,0.035691,0.069062,0.147706,0.120315,0.062559,0.444722,0.120876,0.838488,0.381071,0.065807,0.155701,0.300865,0.095862,0.116055,0.219398,0.076175,0.066909,0.068934,0.035766,0.040505,0.083085,0.644183,0.253968,0.731845,0.240602,0.618681,0.798859,0.740891 +0,1,1,0,0,0,0.353062,0.325588,0.190482,0.658773,0.289665,0.476801,0.520307,0.424091,0.258131,0.583172,0.505674,0.529388,0.571296,0.487421,0.529431,0.438243,0.362767,0.555081,0.158714,0.274228,0.209031,0.333316,0.651164,0.4536,0.424583,0.534366,0.452046,0.227372,0.331552,0.328247,0.454091,0.290726,0.085418,0.153181,0.06082,0.133948,0.19887,0.142037,0.483521,0.375258,0.332167,0.155872,0.145805,0.145266,0.219375,0.145005,0.176108,0.112183,0.379813,0.238015,0.8597,0.366523,0.164881,0.202045,0.343561,0.404749,0.455403,0.461063,0.225323,0.089598,0.241442,0.190094,0.168381,0.24775,0.608348,0.142857,0.035517,0.135338,0.75851,0.082921,0.434478 +0,0,1,0,0,0,0.362047,0.436623,0.156911,0.636274,0.313491,0.578041,0.426268,0.614025,0.216863,0.574991,0.402399,0.334096,0.606002,0.502105,0.372721,0.619014,0.481691,0.712075,0.111252,0.295723,0.293984,0.334533,0.681868,0.399167,0.493427,0.620204,0.514858,0.375727,0.38666,0.301601,0.512815,0.31446,0.289773,0.433676,0.111835,0.193186,0.181649,0.352387,0.514073,0.343606,0.449246,0.303917,0.201128,0.201098,0.181556,0.163116,0.224707,0.159082,0.914783,0.383319,0.905349,0.386472,0.346334,0.477737,0.586789,0.354533,0.496134,0.42672,0.559482,0.384316,0.287895,0.141788,0.161304,0.21531,0.0048,0.730159,0.004121,0.691729,0.017071,0.026072,0.0545 +0,1,1,1,0,0,0.311418,0.129561,0.058241,0.147706,0.570495,0.350484,0.488013,0.449855,0.337032,0.328708,0.68975,0.829087,0.63551,0.090261,0.187392,0.422734,0.090896,0.057386,0.031917,0.106743,0.053447,0.103447,0.085696,0.183158,0.180155,0.297501,0.396314,0.364391,0.390749,0.40383,0.437225,0.334816,0.148021,0.133674,0.116766,0.588315,0.502253,0.39626,0.350738,0.500319,0.31906,0.363989,0.618895,0.592546,0.493308,0.498117,0.598198,0.263808,0.295422,0.2654,0.928914,0.793856,0.245031,0.247462,0.126571,0.159819,0.189062,0.252111,0.384722,0.478309,0.253466,0.447339,0.352519,0.416752,0.041028,0.253968,0.04423,0.75188,0.108642,0.354872,0.279562 +0,0,0,0,0,1,0.403173,0.357861,0.197113,0.717097,0.115863,0.444356,0.487878,0.745148,0.573093,0.623948,0.550034,0.438582,0.889361,0.816757,0.496676,0.391193,0.364823,0.499829,0.082427,0.182168,0.128147,0.279794,0.141528,0.147348,0.321735,0.217944,0.183137,0.130811,0.192085,0.19379,0.286513,0.151241,0.116607,0.122814,0.066162,0.019988,0.112796,0.131461,0.079011,0.163066,0.105563,0.024896,0.061043,0.104251,0.004699,0.16959,0.123934,0.039392,0.156277,0.223055,0.89851,0.601183,0.019696,0.0312,0.045338,0.11727,0.057005,0.122165,0.235209,0.388304,0.027252,0.283116,0.094154,0.106485,0.316922,0.253968,0.357434,0.240602,0.318125,0.402916,0.452403 +0,0,0,0,0,1,0.167252,0.205777,0.152551,0.685956,0.297312,0.353101,0.509155,0.564216,0.553984,0.508404,0.564495,0.433127,0.715143,0.583168,0.481209,0.317234,0.172423,0.460282,0.074098,0.204789,0.212991,0.383246,0.411866,0.471541,0.358136,0.441589,0.271374,0.271899,0.352182,0.313097,0.320035,0.25264,0.114455,0.344044,0.172831,0.082244,0.128231,0.185936,0.176523,0.29123,0.136871,0.155598,0.0625,0.048607,0.067925,0.083286,0.05482,0.073383,0.318173,0.626578,0.919897,0.433611,0.209815,0.396632,0.457761,0.510419,0.341725,0.449637,0.134703,0.149305,0.169704,0.079133,0.040954,0.096439,0.078256,0.095238,0.002197,0.090226,0.282798,0.003513,0.139704 +1,0,0,0,0,1,0.087986,0.495913,0.239337,0.565241,0.345712,0.592015,0.48687,0.554004,0.41798,0.451423,0.544838,0.48208,0.545875,0.284501,0.22238,0.601899,0.124448,0.833971,0.191874,0.133865,0.192884,0.283094,0.366876,0.359301,0.244038,0.408973,0.227589,0.290166,0.737268,0.41801,0.42011,0.254532,0.098247,0.685792,0.147587,0.160722,0.331924,0.200469,0.302824,0.362433,0.244886,0.25976,0.105545,0.141599,0.346267,0.182833,0.150121,0.099034,0.349167,0.657419,0.841275,0.465774,0.306569,0.199032,0.203738,0.239934,0.279836,0.473005,0.185306,0.292182,0.667213,0.274343,0.137568,0.098281,0.277902,0.253968,0.334574,0.240602,0.259681,0.36914,0.362549 +0,1,1,0,0,0,0.234748,0.345327,0.283809,0.528194,0.266313,0.579372,0.484155,0.651875,0.370097,0.779882,0.602328,0.46063,0.853308,0.4528,0.530215,0.398977,0.395557,0.692152,0.220567,0.453249,0.238826,0.572764,0.598216,0.474718,0.476521,0.550761,0.380412,0.250126,0.425383,0.30128,0.525105,0.301065,0.140133,0.373801,0.102736,0.257948,0.139977,0.430997,0.480594,0.232202,0.300224,0.211152,0.137166,0.101212,0.158198,0.095025,0.154887,0.100066,0.730688,0.378708,0.818712,0.369331,0.129316,0.475561,0.469299,0.245721,0.717489,0.521945,0.245106,0.248948,0.269829,0.146687,0.218662,0.195054,0.393317,0.333333,0.21295,0.315789,0.536923,0.084671,0.434118 +1,0,0,0,0,0,0.559886,0.393855,0.214158,0.707744,0.115406,0.407516,0.202822,0.540167,0.446962,0.490249,0.703974,0.641283,0.905732,0.683232,0.542202,0.6184,0.425363,0.371302,0.075561,0.178341,0.206762,0.283919,0.371091,0.301881,0.340609,0.385268,0.300877,0.207519,0.3165,0.229299,0.269016,0.250157,0.001029,0.107447,0.131267,0.038753,0.016048,0.113281,0.190966,0.142501,0.197545,0.126373,0.022862,0.066753,0.108445,0.078387,0.056336,0.069342,0.148198,0.109295,0.907004,0.441332,0,0.103538,0.11265,0.134895,0.228957,0.242742,0.054495,0.063557,0.106577,0.073156,0.107174,0.152329,0.413792,0.253968,0.107935,0.240602,0.42849,0.233917,0.351872 +0,0,1,1,1,0,0.207504,0.123797,0.061709,0.867544,0.323967,0.505404,0.400666,0.482434,0.378741,0.561769,0.556305,0.39242,0.851509,0.30377,0.289376,0.340921,0.102415,0.15134,0.037583,0.041113,0.027668,0.055814,0.09686,0.150301,0.131355,0.389404,0.21066,0.156927,0.316648,0.189278,0.286749,0.209766,0.117646,0.196395,0.030703,0.088018,0.207969,0.226719,0.292054,0.355716,0.300648,0.283258,0.138202,0.166508,0.278816,0.181095,0.265136,0.13593,0.342539,0.33584,0.943767,0.41306,0.179036,0.174377,0.230718,0.254538,0.402703,0.480702,0.285282,0.176558,0.391545,0.146195,0.114565,0.21478,0,0.428571,0,0.406015,0.00913,0.023025,0.026697 +1,0,0,0,0,0,0.604834,0.357915,0.302605,0.543466,0.197374,0.618441,0.41341,0.654219,0.444787,0.612056,0.632892,0.38433,0.555469,0.383102,0.438286,0.248181,0.409132,0.328829,0.223406,0.281883,0.237262,0.246308,0.141365,0.158715,0.192857,0.259518,0.37484,0.22288,0.459413,0.413851,0.564297,0.431582,0.617211,0.628385,0.155982,0.169313,0.287471,0.16268,0.177772,0.187917,0.497323,0.174872,0.141218,0.138159,0.462036,0.191486,0.169626,0.251207,0.502268,0.252493,0.874074,0.433596,0.19304,0.223955,0.078365,0.120152,0.388315,0.350061,0.514161,0.468233,0.764247,0.469336,0.37034,0.683964,0.072214,0.111111,0.015044,0.548872,0.31264,0.182404,0.382994 +0,1,1,0,0,0,0.172641,0.088194,0.286791,0.636297,0.529286,0.141585,0.225805,0.509501,0.542287,0.545141,0.656501,0.559824,0.788681,0.526107,0.433824,0.535559,0.167964,0.208229,0.225672,0.362428,0.363992,0.448995,0.270789,0.352371,0.298018,0.356197,0.464935,0.383254,0.433263,0.29095,0.271851,0.170152,0.055089,0.069436,0.193554,0.073958,0.16818,0.139132,0.097553,0.190281,0.191489,0.106062,0.092648,0.093594,0.059595,0.112416,0.049934,0.052385,0.3098,0.33293,0.813834,0.394787,0.214504,0.307619,0.15802,0.359613,0.243466,0.293538,0.200802,0.180174,0.131762,0.229539,0.101404,0.091182,0.07027,0.365079,0.183046,0.345865,0.194186,0.038099,0.243514 +1,1,0,0,0,0,0.386008,0.164725,0.148766,0.804366,0.539132,0.314199,0.247627,0.326369,0.156292,0.402659,0.647164,0.458973,0.615069,0.45095,0.460502,0.251553,0.193688,0.203138,0.079214,0.145258,0.263529,0.322488,0.361204,0.396607,0.329559,0.54068,0.378742,0.184658,0.288649,0.219242,0.274716,0.210776,0.059908,0.119842,0.193789,0.2422,0.205992,0.324417,0.331571,0.413277,0.351033,0.311554,0.227697,0.130453,0.144,0.104023,0.138034,0.096572,0.440517,0.367995,0.91136,0.46973,0.382316,0.46116,0.168342,0.38523,0.367857,0.452519,0.247741,0.101164,0.09881,0.070571,0.03727,0.088771,0.175481,0.507937,0.31956,0.481203,0.650697,0.007208,0.71056 +0,0,1,1,0,0,0.37197,0.103832,0.071333,0.348005,0.510915,0.169321,0.233842,0.030944,0.187046,0.482768,0.74187,0.315494,0.121537,0.07887,0.321002,0.415951,0.053604,0.046197,0.03338,0.092869,0.106283,0.123317,0.177735,0.234503,0.385759,0.646311,0.569556,0.414911,0.685215,0.661798,0.763573,0.377206,0.106482,0.091185,0.098744,0.350158,0.348233,0.357322,0.722701,0.808262,0.837251,1,1,0.609234,1,1,0.788239,0.419242,0.306972,0.20515,0.932311,0.531313,0.27807,0.155856,0.238569,0.267727,0.701578,1,0.665986,0.504154,0.89615,0.550606,0.517012,0.370375,0.012532,0.730159,0.010634,0.691729,0.082645,0.144749,0.137438 +0,0,1,1,1,0,0.248765,0.08271,0.046189,0.431568,0.680751,0.256178,0.296571,0.532105,0.351107,0.109636,0.44081,0.249954,0.564235,0.29056,0.272793,0.069241,0.073228,0.039869,0.049663,0.118555,0.140693,0.243633,0.100394,0.174585,0.143106,0.28651,0.289251,0.219922,0.374821,0.326565,0.459318,0.469427,0.119443,0.074733,0.102853,0.276676,0.280142,0.551725,0.300636,0.425218,0.294609,0.31321,0.311899,0.364047,0.662088,0.612284,0.827729,0.653755,0.307596,0.217681,0.909443,0.596007,0.302835,0.604967,0.191839,0.260268,0.319204,0.448394,0.404117,0.536906,0.865933,0.552998,0.341933,0.720569,0.028889,0.285714,0.003617,0.270677,0.135492,0.067324,0.145247 +0,1,1,0,0,0,0.18257,0.23897,0.286452,0.642492,0.320498,0.486431,0.586537,0.405481,0.421538,0.596676,0.579411,0.474683,0.686303,0.47563,0.336279,0.401612,0.258984,0.569501,0.221062,0.428085,0.30987,0.438911,0.653148,0.467649,0.447757,0.485136,0.538481,0.299202,0.516996,0.422355,0.441487,0.241796,0.043074,0.228052,0.128449,0.17587,0.099565,0.173669,0.440017,0.249967,0.31034,0.158122,0.159906,0.077645,0.168998,0.11009,0.171113,0.072974,0.295771,0.465933,0.870546,0.482616,0.232366,0.268689,0.471695,0.339916,0.220747,0.370441,0.369912,0.18988,0.218992,0.216917,0.167946,0.150416,0.108543,0,0.029671,0,0.274155,0.062785,0.166629 +0,0,0,0,0,1,0.18466,0.162261,0.327444,0.680086,0.290577,0.590962,0.600358,0.416221,0.401568,0.621924,0.463116,0.371687,0.533265,0.694305,0.40524,0.78654,0.232102,0.428659,0.208927,0.376388,0.393933,0.854523,1,0.849914,0.612306,0.643216,0.727257,0.392181,0.507257,0.543259,0.608331,0.387056,0.049241,0.183252,0.084243,0.119925,0.147569,0.289502,0.322218,0.300906,0.308186,0.163664,0.142848,0.089012,0.074798,0.193933,0.185777,0.094277,0.347662,0.342159,0.82786,0.332625,0.169266,0.519014,0.52594,0.483093,0.487993,0.476025,0.31787,0.160062,0.216579,0.245222,0.22311,0.165262,0.151879,0.190476,0.094994,0.661654,0.213568,0.014934,0.173169 +0,1,0,0,0,0,0.176782,0.07819,0.126197,0.798266,0.346585,0.52536,0.556727,0.634933,0.414042,0.546713,0.665609,0.516086,0.821582,0.509293,0.408737,0.495932,0.146283,0.17229,0.068025,0.142272,0.180619,0.352698,0.400759,0.306969,0.352278,0.423596,0.376261,0.271482,0.337143,0.307773,0.423838,0.296614,0.051861,0.10393,0.176882,0.071106,0.198994,0.291815,0.234656,0.274522,0.376233,0.243113,0.188101,0.1571,0.130628,0.154403,0.177224,0.144717,0.339766,0.246439,0.898815,0.389529,0.167318,0.300872,0.274087,0.243917,0.305579,0.289515,0.218445,0.193736,0.121336,0.183421,0.151806,0.23563,0.015503,0.460317,0.004648,0.43609,0.096454,0.045028,0.076709 +0,1,0,0,0,0,0.416865,0.198074,0.16972,0.85368,0.500185,0.25512,0.612427,0.07516,0.556369,0.162374,0.612655,0.270617,0.665675,0.380007,0.462181,0.171325,0.182709,0.126204,0.099447,0.194349,0.277587,0.18197,0.055264,0.174708,0.213124,0.396778,0.309363,0.344179,0.53614,0.530493,0.578172,0.364532,0.136539,0.135314,0.153516,0.094156,0.24308,0.173359,0.091473,0.185653,0.191494,0.252381,0.207634,0.199413,0.283899,0.250424,0.220099,0.122035,0.302914,0.178474,0.888928,0.313584,0.275269,0.17987,0.127635,0.194082,0.225976,0.679241,0.430274,0.387076,0.922459,0.565018,0.338976,0.353139,0.085127,0.730159,0.227979,0.691729,0.279302,0.399868,0.585214 +0,1,1,0,0,0,0.309857,0.134612,0.1406,0.759494,0.463111,0.348627,0.382232,0.416062,0.510885,0.30001,0.472288,0.21834,0.842057,0.534396,0.277919,0.555606,0.098656,0.096762,0.056616,0.195344,0.114418,0.335366,0.404091,0.237838,0.258025,0.500019,0.319864,0.250896,0.366362,0.383746,0.405139,0.289658,0.104274,0.097234,0.11389,0.151356,0.16658,0.308544,0.405908,0.277883,0.299209,0.26708,0.167979,0.233198,0.228342,0.216826,0.283761,0.108607,0.28503,0.212776,0.911273,0.36159,0.319374,0.447068,0.262157,0.297993,0.349827,0.415326,0.178007,0.217062,0.384377,0.262932,0.146221,0.18317,0.244209,0.142857,0.36904,0.135338,0.531832,0.401111,0.48331 +0,0,0,0,0,1,0.38819,0.325392,0.249367,0.724675,0.279445,0.535602,0.496983,0.501619,0.494703,0.805559,0.508543,0.502551,0.486396,0.505972,0.263848,0.444546,0.463132,0.563118,0.16921,0.359805,0.308087,0.646556,0.831016,0.642538,0.441008,0.641926,0.541524,0.341299,0.45136,0.392369,0.541277,0.266914,0.26942,0.304975,0.032582,0.135095,0.122632,0.260804,0.465426,0.232052,0.227145,0.214072,0.126937,0.108015,0.109008,0.087543,0.173138,0.092615,0.669029,0.334162,0.85957,0.327873,0.203543,0.446807,0.637684,0.354631,0.332923,0.400774,0.384725,0.194085,0.225275,0.091707,0.144173,0.117159,0.190899,0.650794,0.215646,0.616541,0.128114,0.29703,0.393145 +1,1,0,0,0,0,0.491067,0.237379,0.206195,0.882494,0.426895,0.28947,0.568974,0.151036,0.602717,0.158678,0.588053,0.111283,0.597073,0.491167,0.46516,0.147527,0.20338,0.13381,0.121109,0.185773,0.269524,0.289091,0.080112,0.171418,0.181512,0.311063,0.285535,0.273656,0.459593,0.423675,0.544088,0.307975,0.18024,0.149881,0.171539,0.074848,0.24998,0.248512,0.153527,0.166571,0.197124,0.22422,0.190182,0.194649,0.220291,0.195611,0.228254,0.115974,0.282294,0.175089,0.858437,0.362957,0.303699,0.371719,0.253209,0.174419,0.26103,0.372605,0.212101,0.316028,0.472796,0.333635,0.197144,0.232445,0.117886,0.793651,0,0.75188,0.2022,0.358655,0.300836 +0,0,1,1,1,0,0.292817,0.14619,0.061348,0.337387,0.540275,0.239832,0.642218,0.445821,0.241687,0.419387,0.673013,0.195564,0.527369,0.425631,0.485422,0.713785,0.062565,0.064202,0.035481,0.071746,0.043268,0.068609,0.0806,0.150485,0.183905,0.350939,0.310278,0.163124,0.311839,0.346626,0.383107,0.239945,0.055192,0.078328,0.196489,0.315,0.191212,0.095485,0.215188,0.451755,0.261317,0.274238,0.189688,0.110972,0.207773,0.217631,0.280942,0.165858,0.307541,0.196367,0.932311,0.634759,0.331612,0.127882,0.119556,0.183285,0.176365,0.291536,0.199535,0.130612,0.211501,0.248387,0.176123,0.131713,0.004361,0.365079,0.002314,0.345865,0.019215,0.022403,0.016809 +0,0,1,1,0,0,0.277926,0.091324,0.076123,0.450026,0.73753,0.410349,0.22806,0.439182,0.48285,0.455773,0.409199,0.259889,0.321311,0.454577,0.310314,0.284672,0.047151,0.0151,0.036482,0.036718,0.044956,0.089857,0.084902,0.146806,0.167037,0.338338,0.354313,0.197143,0.353122,0.39888,0.341,0.250309,0.04007,0.059205,0.095515,0.126911,0.319365,0.298964,0.2116,0.361617,0.403805,0.352137,0.392772,0.234908,0.488799,0.497525,0.372821,0.266576,0.300949,0.215493,0.922467,0.648622,0.467429,0.159869,0.179483,0.123839,0.166089,0.345444,0.245173,0.168442,0.267474,0.29594,0.13724,0.226193,0.044864,0.253968,0.022971,0.240602,0.202241,0.220336,0.237737 +1,0,0,0,0,1,0.580171,0.375469,0.203732,0.690785,0.226853,0.547071,0.549145,0.44298,0.428682,0.548182,0.512773,0.343647,0.535108,0.606431,0.379321,0.433042,0.596027,0.495637,0.113716,0.240808,0.300026,0.504012,0.749535,0.540656,0.526517,0.549377,0.613931,0.35428,0.541364,0.532923,0.580827,0.34915,0.238492,0.254172,0.135259,0.111741,0.369458,0.350736,0.546217,0.351687,0.331984,0.36787,0.178317,0.145588,0.306042,0.25222,0.328328,0.171535,0.549678,0.36288,0.890017,0.470152,0.297599,0.462556,0.578089,0.438749,0.375558,0.607544,0.342185,0.269873,0.320559,0.302903,0.205319,0.228755,0.048919,0.190476,0.067854,0.661654,0.064429,0.013041,0.100018 +1,0,0,0,0,1,0.288784,0.429829,0.22542,0.728605,0.301173,0.406398,0.298201,0.61856,0.267136,0.477571,0.474558,0.42759,0.427264,0.518466,0.367666,0.460668,0.343694,0.721781,0.177626,0.159036,0.267605,0.460441,0.343753,0.331653,0.187736,0.264945,0.15654,0.147679,0.159696,0.145094,0.146521,0.088088,0.094252,0.29856,0.10755,0.068412,0.051528,0.130563,0.15358,0.199201,0.058463,0.071991,0.021042,0.037445,0.035926,0.03548,0.028578,0.017414,0.305503,0.114329,0.848767,0.38772,0.107809,0.182021,0.322672,0.196815,0.105261,0.142702,0.124299,0.072011,0.073291,0.008527,0.029066,0.01773,0.554192,0.253968,0.622799,0.240602,0.51999,0.635976,0.616327 +1,1,0,0,0,0,0.107072,0.079844,0.238614,0.668238,0.340467,0.476025,0.473997,0.706506,0.563319,0.655193,0.762374,0.361922,0.649881,0.592136,0.514959,0.348231,0.064249,0.230176,0.129702,0.172753,0.171808,0.395181,0.2905,0.343656,0.345066,0.595726,0.392953,0.275663,0.456117,0.459674,0.409022,0.321528,0.132515,0.284793,0.166725,0.175438,0.224995,0.306917,0.201502,0.338476,0.232022,0.30485,0.318289,0.10719,0.194299,0.413019,0.35769,0.196036,0.36729,0.524106,0.875338,0.43934,0.19224,0.40147,0.189225,0.131297,0.254148,0.303717,0.299705,0.208066,0.453253,0.313246,0.158942,0.109164,0.016178,0.968254,0,0.917293,0.025175,0.077012,0.0957 +0,1,0,0,0,0,0.454692,0.216426,0.12265,0.877897,0.536374,0.113314,0.624114,0,0.634601,0,0.527346,0.236526,0.618754,0.546833,0.344633,0.211761,0.157944,0.111497,0.065055,0.133949,0.224017,0.146646,0.093103,0.201384,0.186499,0.245633,0.270413,0.186189,0.314278,0.317281,0.371986,0.243082,0.140554,0.157502,0.181108,0.157366,0.317841,0.192409,0.151198,0.283621,0.222336,0.120096,0.117822,0.129423,0.156519,0.149053,0.228528,0.098032,0.25207,0.156562,0.905,0.361013,0.275672,0.278855,0.158765,0.316539,0.285626,0.336389,0.183305,0.198812,0.342054,0.291766,0.212512,0.214598,0.054109,0.206349,0.074307,0.195489,0.264522,0.262878,0.32697 +0,1,1,0,0,0,0.285248,0.170371,0.235598,0.526789,0.458271,0.205476,1,0.234694,0.423155,0.81036,0.444984,0.505401,0.908257,0.396406,0.482519,0.524551,0.224268,0.252568,0.172235,0.369314,0.259388,0.32845,0.733881,0.493481,0.414295,0.877853,0.695625,0.307518,0.474548,0.383003,0.504923,0.331361,0.195615,0.182263,0.212575,0.422759,0.278992,0.294164,0.586483,0.74389,0.286181,0.624307,0.259831,0.248322,0.237654,0.172678,0.243988,0.18226,0.275812,0.363718,0.862183,0.475605,0.405736,0.329978,0.592902,0.536589,0.553342,0.844242,0.354438,0.258162,0.319911,0.200314,0.242801,0.219456,0.024868,0.190476,0.031636,0.661654,0.087692,0.042833,0.11967 +1,1,1,0,0,0,0.357765,0.16676,0.100601,0.557507,0.465698,0.295859,0.440311,0.557535,0.354944,0.400277,0.617901,0.246284,0.285348,0.493596,0.356461,0.139849,0.13279,0.063579,0.035987,0.156739,0.07857,0.122952,0.133289,0.211159,0.241488,0.440736,0.484203,0.42597,0.687102,0.651808,0.553791,0.330569,0.131917,0.084031,0.113479,0.415161,0.272628,0.198814,0.246848,0.471066,0.492228,0.265234,0.463214,0.296315,0.513496,0.305252,0.35933,0.139388,0.279925,0.192847,0.924297,0.517948,0.264461,0.180503,0.549654,0.227361,0.407993,0.4662,0.433968,0.444353,0.498575,0.464759,0.195481,0.202632,0.163874,0.301587,0.284219,0.285714,0.463508,0.186374,0.441703 +0,0,1,0,0,0,0.283093,0.105539,0.034904,0.587717,0.574277,0.348986,0.474018,0.418648,0.441409,0.257709,0.36733,0.264856,0.317852,0.383051,0.345139,0.442589,0.049746,0.042077,0.017471,0.043138,0.024722,0.072963,0.066898,0.155386,0.156297,0.28899,0.288334,0.181155,0.310313,0.291276,0.373528,0.228848,0.081927,0.079428,0.129506,0.246568,0.208466,0.317965,0.19244,0.31638,0.22987,0.20342,0.282288,0.131912,0.274198,0.178805,0.279631,0.115647,0.294431,0.202797,0.93266,0.717262,0.279665,0.205611,0.140982,0.143859,0.248281,0.285864,0.252539,0.210681,0.458623,0.113918,0.177927,0.085854,0.034212,0.460317,0,0.43609,0.215084,0.127111,0.194394 +0,0,0,1,0,0,0.084466,0.009323,0.165654,0.410759,0.622447,0.647303,0.534767,0.577739,0.673093,0.842411,0.476524,0.136832,0.519041,0.520078,0.405619,0.489202,0.039491,0.045785,0.102516,0.167325,0.312146,0.215315,0.232195,0.201491,0.181679,0.257699,0.244735,0.22905,0.361185,0.304228,0.244099,0.183789,0.044824,0.083222,0.115181,0.194866,0.289244,0.30622,0.264098,0.271841,0.181229,0.140743,0.089857,0.119183,0.17803,0.130245,0.133533,0.079349,0.362424,0.312961,0.870241,0.578308,0.35447,0.309628,0.311828,0.263211,0.333476,0.335629,0.209081,0.133562,0.217189,0.122499,0.094268,0.102391,0.025131,0.492063,0.002541,0.466165,0.098187,0.067221,0.077388 +0,0,1,1,1,0,0.299372,0.169051,0.122978,0.566838,0.573469,0.366362,0.330717,0.437003,0.464881,0.32359,0.462304,0.417914,0.792964,0.67601,0.403208,0.215386,0.099411,0.131356,0.053932,0.234101,0.252606,0.132454,0.197893,0.212519,0.162856,0.357636,0.257723,0.208551,0.287327,0.274094,0.382076,0.301941,0.149163,0.535051,0.139603,0.573692,0.518678,0.394659,0.57982,0.565903,0.415002,0.42516,0.244394,0.150187,0.321386,0.222394,0.240904,0.280332,0.360515,0.519213,0.906176,0.671499,0.671729,0.35357,0.392322,0.321356,0.318898,0.504378,0.326674,0.20612,0.213794,0.219136,0.238815,0.367109,0.006243,0.126984,0,0.120301,0.050405,0.007712,0.028209 +1,1,1,0,0,0,0.420801,0.241246,0.089339,0.68213,0.281738,0.679614,0.375593,0.648048,0.476672,0.386424,0.519502,0.242351,0.441892,0.470515,0.338536,0.655584,0.281055,0.293505,0.056572,0.2351,0.2479,0.318121,0.131718,0.21867,0.173234,0.409895,0.311534,0.255799,0.495195,0.413997,0.483506,0.385178,0.187511,0.214049,0.151755,0.228721,0.203592,0.264918,0.285489,0.291112,0.149363,0.213894,0.253908,0.144122,0.182324,0.145386,0.269044,0.199272,0.424102,0.208048,0.904696,0.42044,0.39033,0.316,0.148154,0.227771,0.410551,0.495663,0.436622,0.304323,0.887788,0.590328,0.45345,0.553824,0.025626,0.698413,0.072919,0.661654,0.098913,0.106016,0.220918 +0,1,0,1,0,0,0.249046,0.136535,0.143152,0.468931,0.308187,0.55998,0.491262,0.449032,0.457242,0.389079,0.643533,0.354843,0.764941,0.456349,0.406469,0.362942,0.185972,0.236462,0.107786,0.249812,0.236953,0.262342,0.186343,0.207937,0.203661,0.333265,0.26257,0.257918,0.320943,0.31685,0.35414,0.240364,0.18374,0.235973,0.150875,0.537592,0.565876,0.339614,0.40322,0.465127,0.444477,0.332234,0.242447,0.231086,0.296539,0.155854,0.319991,0.27107,0.336534,0.322007,0.884877,0.46978,0.381303,0.38027,0.262735,0.282053,0.361238,0.483786,0.347434,0.393367,0.293119,0.352946,0.190224,0.276457,0.141617,0.650794,0.213491,0.616541,0.241703,0.357145,0.570108 +0,0,1,0,1,0,0.272867,0.137902,0.19264,0.563673,0.416937,0.461741,0.468348,0.744625,0.541652,0.466432,0.548072,0.345168,0.597546,0.439058,0.248127,0.350109,0.25603,0.285694,0.142871,0.312343,0.261403,0.445915,0.614271,0.578848,0.6123,0.616229,0.538031,0.368402,0.484138,0.427914,0.544068,0.297055,0.103095,0.174448,0.138429,0.172925,0.253646,0.397215,0.369435,0.542024,0.439239,0.30303,0.151411,0.141622,0.194063,0.190751,0.218918,0.173273,0.435743,0.429407,0.864753,0.551067,0.273793,0.493885,0.478886,0.661844,0.665057,0.685764,0.380569,0.25536,0.282391,0.251041,0.173772,0.225859,0.10495,0.253968,0.180888,0.240602,0.135666,0.244904,0.235277 +1,0,0,0,0,1,0.416978,0.242323,0.145129,0.754244,0.341582,0.39053,0.554964,0.394064,0.32315,0.617053,0.553571,0.405255,0.356143,0.69665,0.291734,0.501793,0.320942,0.287404,0.075033,0.206284,0.205115,0.393968,0.722746,0.655281,0.414061,0.592938,0.640008,0.351752,0.563689,0.481161,0.43321,0.272259,0.138149,0.149206,0.154867,0.110822,0.205819,0.265511,0.410164,0.281768,0.162896,0.198195,0.123159,0.122499,0.126734,0.173887,0.142002,0.083635,0.308955,0.233245,0.914801,0.41027,0.232054,0.566224,0.506995,0.511591,0.406776,0.554976,0.362043,0.243071,0.37346,0.172876,0.116857,0.13033,0.015044,0.619048,0,0.586466,0.019138,0.029235,0.013404 +1,1,0,0,0,0,0.355049,0.17156,0.158605,0.78139,0.531521,0.332613,0.614002,0.049812,0.650713,0.314018,0.664792,0.336721,0.403374,0.422821,0.352804,0.220469,0.135805,0.108977,0.084154,0.20236,0.245753,0.188619,0.143403,0.20419,0.216221,0.354327,0.332873,0.198919,0.40049,0.348106,0.524885,0.322566,0.237285,0.294632,0.25361,0.275726,0.494057,0.395692,0.275912,0.293026,0.387274,0.240364,0.222152,0.11058,0.25812,0.153742,0.2375,0.190974,0.290465,0.201817,0.89777,0.335541,0.370989,0.317017,0.183837,0.219604,0.331435,0.560597,0.311555,0.219333,0.429748,0.388614,0.363416,0.255069,0.074899,0.730159,0.074441,0.691729,0.143868,0.292192,0.363583 +1,0,0,0,0,1,0.280777,0.558355,0.222122,0.726285,0.202043,0.50743,0.364898,0.63303,0.385348,0.692826,0.645108,0.461949,0.893224,0.323889,0.391781,0.506098,0.321128,0.754215,0.220358,0.370082,0.559059,0.480505,0.694119,0.484968,0.504374,0.654449,0.366217,0.210906,0.309659,0.223968,0.317472,0.223089,0.145626,0.296033,0.26318,0.175823,0.383842,0.198517,0.196145,0.46456,0.340124,0.356485,0.170306,0.140456,0.306738,0.221981,0.15609,0.051884,0.383485,0.238689,0.862488,0.407552,0.603614,0.284022,0.246155,0.633327,0.341034,0.465749,0.223776,0.228825,0.430815,0.235711,0.092895,0.061898,0.533815,0.253968,0.574546,0.240602,0.548248,0.63327,0.641099 +1,1,0,0,0,0,0.393395,0.192603,0.088661,0.613954,0.456699,0.313151,0.449155,0.287112,0.261102,0.346384,0.507649,0.169097,0.267984,0.548387,0.349121,0.42564,0.102681,0.083,0.030013,0.095191,0.082223,0.075123,0.072652,0.17891,0.185137,0.382653,0.341797,0.250457,0.375944,0.366359,0.410399,0.299157,0.044889,0.105562,0.097276,0.438947,0.296389,0.082397,0.120022,0.437306,0.341077,0.499548,0.182196,0.182505,0.307639,0.293354,0.238011,0.204314,0.310736,0.224281,0.933966,0.46867,0.308918,0.116066,0.095119,0.131919,0.23243,0.380947,0.192594,0.256398,0.246432,0.226292,0.190019,0.227865,0.125451,0.333333,0.176376,0.315789,0.394272,0.064362,0.418352 +0,0,0,0,0,1,0.379713,0.422435,0.262425,0.696436,0.282527,0.518994,0.482166,0.63438,0.254986,0.571832,0.426744,0.296156,0.558985,0.476379,0.398715,0.375397,0.397502,0.642229,0.151464,0.368768,0.401976,0.55692,0.684821,0.559661,0.603366,0.790147,0.560798,0.37462,0.536622,0.501076,0.572093,0.362397,0.283859,0.352113,0.182224,0.164703,0.279958,0.19982,0.449637,0.311335,0.238042,0.178405,0.154644,0.127149,0.198987,0.118101,0.147503,0.106587,0.479407,0.329117,0.87586,0.404568,0.3746,0.481892,0.471043,0.459467,0.356583,0.553655,0.356641,0.274566,0.242213,0.238394,0.166916,0.131958,0.029484,0.126984,0.001416,0.571429,0.053487,0.135148,0.108781 +1,0,0,0,0,1,0.325008,0.233515,0.072553,0.852536,0.269744,0.477294,0.421507,0.477744,0.396498,0.397835,0.54808,0.26778,0.510994,0.587764,0.27263,0.171388,0.210118,0.220098,0.029683,0.031776,0.052527,0.094998,0.047682,0.096042,0.125759,0.244116,0.149685,0.083323,0.197097,0.186505,0.199215,0.165559,0.099894,0.150024,0.16696,0.017985,0.063877,0.085123,0.061558,0.086454,0.167027,0.067603,0.043845,0.04882,0.050199,0.063737,0.118948,0.086331,0.422725,0.21815,0.932311,0.437201,0.130746,0.336569,0.176959,0.181316,0.204145,0.224508,0.119561,0.078881,0.047654,0.05781,0.065528,0.072231,0.03349,0.111111,0.041672,0.105263,0.157937,0.107383,0.139114 +1,1,0,0,0,0,0.275318,0.124162,0.132071,0.529654,0.527786,0.388682,0.443861,0.440191,0.403246,0.397089,0.485528,0.353448,0.438282,0.403164,0.384881,0.335612,0.093757,0.091595,0.031796,0.183121,0.159602,0.061544,0.094535,0.148726,0.164556,0.31417,0.31638,0.218793,0.3985,0.361896,0.441584,0.264691,0.036187,0.063623,0.116414,0.393106,0.196981,0.080483,0.202787,0.15875,0.156986,0.110603,0.154912,0.161437,0.259482,0.217724,0.214493,0.110267,0.308331,0.224427,0.926257,0.67115,0.296054,0.072707,0.109499,0.141727,0.133054,0.286527,0.180561,0.133731,0.365992,0.235377,0.150934,0.120447,0.042432,0,0.175407,0,0.109897,0.308926,0.254244 +1,0,0,0,0,1,0.418787,0.357459,0.329737,0.734794,0.296019,0.599719,0.450898,0.550722,0.298084,0.537894,0.540683,0.452826,0.467211,0.338903,0.449367,0.338813,0.494622,0.588825,0.192237,0.301598,0.412802,0.45264,0.573213,0.607776,0.49788,0.72095,0.678618,0.418056,0.62696,0.468543,0.777493,0.454153,0.153337,0.233986,0.076201,0.060392,0.16855,0.17132,0.319054,0.424637,0.269996,0.320573,0.22898,0.178082,0.168181,0.205049,0.290258,0.16741,0.417106,0.152227,0.833827,0.369111,0.215208,0.241959,0.338122,0.52933,0.375502,0.453246,0.252184,0.236405,0.342169,0.204431,0.171761,0.185124,0.153519,0.190476,0.179835,0.180451,0.167371,0.39156,0.362599 +1,0,0,0,0,1,0.424586,0.282986,0.05544,0.957781,0.234883,0.222271,0.474022,0.481186,0.335771,0.59613,0.684562,0.476146,0.776274,0.440569,0.277743,0.370652,0.164577,0.115972,0.02185,0.018208,0.017898,0.06728,0.038247,0.075877,0.0489,0.148376,0.159007,0.10415,0.175893,0.18404,0.182465,0.135622,0.164042,0.204261,0.223964,0.039401,0.125242,0.092078,0.201536,0.238679,0.183372,0.169181,0.10585,0.103246,0.084433,0.103245,0.16784,0.096052,0.301078,0.221529,0.948732,0.40492,0.202149,0.259438,0.161601,0.228447,0.108246,0.190943,0.111387,0.086434,0.181989,0.132835,0.071496,0.072294,0.008467,0,0.011079,0.390977,0.054482,0.009126,0.032811 +0,1,1,1,0,0,0.318836,0.122377,0.102758,0.200802,0.631744,0.205538,0.49801,0.319691,0.335277,0.507637,0.622041,0.261869,0.373344,0.281264,0.32275,0.444958,0.079756,0.061838,0.040586,0.153128,0.134661,0.095306,0.124827,0.181843,0.217322,0.334205,0.440978,0.327619,0.512883,0.499021,0.499477,0.334647,0.082086,0.097886,0.12158,0.408687,0.403181,0.389687,0.576115,0.449622,0.468172,0.319481,0.227631,0.224097,0.389938,0.369962,0.317172,0.233859,0.283689,0.205337,0.938671,0.65449,0.36551,0.159738,0.175892,0.1821,0.298642,0.334151,0.298676,0.250672,0.525846,0.309378,0.28532,0.220768,0.016687,0.111111,0.01783,0.105263,0.105514,0.120273,0.123198 +1,0,0,0,0,1,0.523176,0.367208,0.083296,0.868497,0.243358,0.421502,0.537994,0.439111,0.406641,0.555447,0.527101,0.400981,0.62917,0.57387,0.368266,0.423933,0.253442,0.239013,0.036802,0.042688,0.101339,0.171222,0.222663,0.21249,0.164036,0.241787,0.243752,0.138246,0.261887,0.229901,0.319116,0.206458,0.136942,0.183067,0.099155,0.076464,0.238716,0.113234,0.08299,0.198559,0.095834,0.135459,0.108056,0.056037,0.076326,0.080063,0.076073,0.076522,0.270175,0.225219,0.935665,0.66869,0.338889,0.218297,0.277487,0.317792,0.130603,0.17187,0.164059,0.086337,0.076252,0.077771,0.096102,0.125686,0.076108,0.253968,0.088286,0.240602,0.137038,0.204344,0.177483 +0,0,1,0,1,0,0.308016,0.140638,0.225624,0.657536,0.473682,0.249265,0.654774,0.396093,0.712463,0.470117,0.571888,0.388266,0.573171,0.488708,0.452094,0.486788,0.284411,0.209912,0.151211,0.36247,0.422969,0.629572,0.461308,0.444262,0.545872,0.541891,0.58124,0.297402,0.468361,0.487834,0.539883,0.246145,0.108531,0.13903,0.104438,0.133349,0.251789,0.354738,0.309201,0.283063,0.244616,0.209304,0.136622,0.10772,0.144361,0.143693,0.144781,0.098445,0.341437,0.202357,0.860223,0.342202,0.306656,0.442951,0.395475,0.321073,0.468044,0.403467,0.284451,0.160836,0.178879,0.31108,0.189637,0.119301,0.019539,0.269841,0.135291,0.255639,0.141573,0.292725,0.225545 +0,0,1,1,0,0,0.458844,0.27107,0.200242,0.617037,0.236976,0.422272,0.486604,0.538609,0.59493,0.674198,0.586465,0.391611,0.714998,0.403813,0.488025,0.489811,0.362197,0.299196,0.129867,0.306152,0.339776,0.502439,0.613301,0.435438,0.525435,0.639376,0.512165,0.288644,0.365113,0.403492,0.49314,0.343512,0.176544,0.162493,0.178584,0.226671,0.151672,0.26706,0.444482,0.364016,0.350794,0.230933,0.267949,0.163259,0.159641,0.228969,0.246078,0.152698,0.348414,0.292527,0.887098,0.451022,0.253956,0.386577,0.363857,0.45257,0.434785,0.484932,0.327826,0.23467,0.187137,0.222692,0.160778,0.344471,0.059149,0.428571,0.001694,0.406015,0.171885,0.077038,0.130334 +0,0,0,0,1,1,0.424305,0.268834,0.099144,0.917028,0.34568,0.299195,0.514989,0.446644,0.340986,0.569641,0.489689,0.441858,0.550409,0.518113,0.270289,0.407837,0.203987,0.194275,0.057837,0.048568,0.135691,0.225379,0.241403,0.249536,0.148478,0.323014,0.286412,0.1391,0.3312,0.22788,0.225267,0.165021,0.113042,0.151078,0.123694,0.217141,0.194937,0.215977,0.261146,0.474822,0.152732,0.158624,0.23108,0.147443,0.146806,0.110516,0.12351,0.076842,0.317273,0.250892,0.924601,0.443644,0.344291,0.566338,0.358058,0.392245,0.290669,0.367601,0.194402,0.103139,0.244249,0.106463,0.088977,0.106907,0.159425,0.301587,0,0.285714,0.202584,0.132997,0.204248 +0,1,1,0,0,0,0.318485,0.155951,0.107875,0.401937,0.488515,0.377561,0.468848,0.450814,0.362459,0.373817,0.417319,0.298658,0.563741,0.677317,0.537362,0.42897,0.126306,0.120627,0.034711,0.165581,0.162454,0.102482,0.130073,0.195774,0.210411,0.369787,0.408875,0.269315,0.523107,0.465858,0.447902,0.335729,0.145504,0.16191,0.080427,0.871953,0.425633,0.205071,0.320578,0.412052,0.255159,0.263051,0.230968,0.138578,0.565238,0.57117,0.242282,0.18903,0.276106,0.259234,0.937233,0.80008,0.297259,0.325957,0.152479,0.238688,0.185266,0.275888,0.21635,0.19699,0.573082,0.460314,0.206697,0.198506,0.039364,0.412698,0.073599,0.390977,0.222848,0.107135,0.292149 +0,0,1,1,0,0,0.270076,0.118518,0.132625,0.351789,0.611908,0.307534,0.558827,0.391385,0.182481,0.575138,0.526053,0.083775,0.791027,0.405706,0.489413,0.268928,0.091466,0.09292,0.057804,0.139611,0.163171,0.226721,0.229063,0.524094,0.265111,0.533565,0.568956,0.479566,0.687521,0.588455,0.710716,0.384427,0.06397,0.097636,0.089175,0.439004,0.193939,0.366625,0.49192,1,0.518105,0.484549,0.382031,0.322926,0.380526,0.471329,0.259128,0.177977,0.316704,0.225659,0.911752,0.664495,0.375192,0.560199,0.241748,0.643153,0.330111,0.562517,0.521374,0.493249,0.720961,0.56243,0.340921,0.353541,0.020575,0.285714,0.015616,0.270677,0.136995,0.126928,0.140332 +0,0,0,0,0,1,0.611735,0.550262,0.279268,0.627866,0.135059,0.679312,0.472955,0.530152,0.154313,0.568695,0.471355,0.491705,0.795957,0.419103,0.499638,0.400401,0.626204,0.606608,0.149197,0.373068,0.298132,0.592786,0.599744,0.613104,0.692052,0.791491,0.817798,0.457126,0.553895,0.478525,0.578225,0.352003,0.264058,0.266733,0.213162,0.055643,0.180952,0.251437,0.277672,0.406185,0.398114,0.185931,0.145845,0.104491,0.153167,0.111014,0.135999,0.095535,0.500578,0.185978,0.880608,0.519773,0.264871,0.395552,0.353346,0.397094,0.549826,0.476738,0.518676,0.258215,0.28595,0.132438,0.091676,0.119124,0.186226,0.063492,0,0.06015,0.332112,0.048446,0.189775 +0,0,1,1,1,0,0.212633,0.094003,0.071322,0.746963,0.507365,0.431835,0.440611,0.438081,0.320346,0.408881,0.463683,0.360833,0.813329,0.487432,0.441273,0.376531,0.115976,0.100748,0.062293,0.06976,0.151752,0.158008,0.196407,0.211079,0.200583,0.381828,0.413878,0.159604,0.338277,0.255739,0.285711,0.2197,0.196579,0.172138,0.176647,0.054223,0.216749,0.26786,0.256888,0.389165,0.294831,0.184117,0.222013,0.08032,0.209973,0.156704,0.173895,0.126739,0.513597,0.307493,0.912928,0.53562,0.388232,0.271224,0.25099,0.266098,0.273839,0.352188,0.362829,0.144493,0.337168,0.08585,0.130475,0.158656,0.009288,0.111111,0.024339,0.548872,0.050022,0.041603,0.071036 +1,0,0,0,0,0,0.276387,0.14544,0.16623,0.697513,0.424247,0.356851,0.591906,0.458179,0.490967,0.511869,0.409831,0.288363,0.265031,0.481748,0.387657,0.266569,0.157796,0.173824,0.090645,0.287928,0.260735,0.362963,0.147292,0.19427,0.145061,0.427489,0.311895,0.179039,0.459708,0.524824,0.778673,0.718543,0.067357,0.126261,0.282494,0.132636,0.36869,0.173468,0.150146,0.173603,0.121612,0.147729,0.105134,0.087526,0.237497,0.211496,0.417497,0.231011,0.295349,0.325691,0.886183,0.439072,0.292411,0.243007,0.175725,0.228772,0.221355,0.462633,0.257433,0.114337,0.501594,0.358396,0.371035,0.800758,0.071898,0.047619,0.036006,0.045113,0.214216,0.127178,0.200457 +0,1,1,0,0,0,0.243031,0.118712,0.10757,0.290173,0.658117,0.25237,0.512336,0.492922,0.474691,0.369074,0.478331,0.293318,0.506316,0.481186,0.286961,0.326912,0.091063,0.093179,0.031807,0.228539,0.149112,0.143319,0.128028,0.220173,0.225122,0.380746,0.34416,0.25885,0.462062,0.435486,0.490663,0.344061,0.073505,0.170215,0.070741,0.477365,0.312048,0.244602,0.202639,0.316826,0.210625,0.221337,0.209275,0.198887,0.389759,0.340967,0.334794,0.208596,0.333395,0.441422,0.931788,0.785676,0.344459,0.180938,0.120584,0.156743,0.172245,0.268569,0.220887,0.226424,0.400977,0.251098,0.19919,0.279011,0.046473,0.603175,0.012509,0.571429,0.235184,0.113806,0.293892 +0,0,1,1,1,0,0.080865,0.003932,0.145073,0.239554,0.696746,0.518547,0.590133,0.73586,0.558834,1,0.528958,0.442412,0.630832,0.412174,0.430231,0.423773,0.038165,0.036275,0.115884,0.28848,0.266289,0.487841,0.094251,0.117499,0.102264,0.358948,0.279949,0.118531,0.30579,0.25898,0.346301,0.243819,0.044702,0.066543,0.110778,0.246833,0.192711,0.341848,0.144574,0.235995,0.263929,0.291213,0.158862,0.090984,0.216614,0.282563,0.424046,0.276006,0.349406,0.260214,0.875599,0.646225,0.325749,0.590496,0.170775,0.210268,0.265184,0.591464,0.261787,0.101679,0.343251,0.24996,0.22257,0.40416,0.009306,0.365079,0.022871,0.345865,0.125705,0.020006,0.084096 +1,0,0,0,0,1,0.332561,0.250999,0.07008,0.969646,0.285419,0.194595,0.453925,0.539416,0.29828,0.489016,0.61283,0.552866,0.786017,0.527278,0.395104,0.436398,0.140091,0.123129,0.043106,0.021757,0.058578,0.089292,0.068752,0.132228,0.125245,0.187857,0.114338,0.10021,0.210257,0.175539,0.225238,0.149754,0.067498,0.167706,0.098568,0.057858,0.342369,0.410932,0.21798,0.108736,0.336329,0.084056,0.04716,0.074506,0.056935,0.07817,0.096648,0.078486,0.303593,0.228475,0.915585,0.579623,0.331026,0.237603,0.151592,0.158521,0.262509,0.202015,0.060042,0.079296,0.153257,0.075035,0.078404,0.117986,0.008029,0.333333,0.045553,0.315789,0.04526,0.021333,0.056873 +1,0,0,0,0,1,0.301327,0.221873,0.094806,0.898171,0.271664,0.404096,0.449352,0.494402,0.428144,0.442408,0.484406,0.262294,0.392816,0.696724,0.302671,0.274559,0.180226,0.198325,0.044525,0.02792,0.066427,0.122327,0.128121,0.172287,0.120823,0.316115,0.309817,0.15633,0.215744,0.197914,0.231599,0.160887,0.059768,0.100377,0.052072,0.082009,0.082622,0.139507,0.230034,0.306234,0.137293,0.125254,0.150764,0.093982,0.073232,0.139513,0.093606,0.104606,0.298728,0.171112,0.9334,0.323608,0.141327,0.185805,0.216125,0.207716,0.081308,0.228462,0.244733,0.122945,0.129848,0.033418,0.07383,0.142998,0.084171,0.079365,0.031535,0.075188,0.158149,0.034258,0.091384 +0,0,1,0,1,0,0.201403,0.162531,0.281323,0.557584,0.41159,0.6524,0.512297,0.571254,0.520915,0.404719,0.580576,0.478765,0.597379,0.502429,0.234978,0.457772,0.227079,0.415227,0.283201,0.416427,0.455344,0.785535,0.468345,0.471073,0.447747,0.577871,0.471487,0.28556,0.468658,0.392447,0.516062,0.28491,0.125057,0.199506,0.134554,0.337054,0.328855,0.318552,0.275832,0.349164,0.320854,0.301087,0.126023,0.132894,0.239489,0.130178,0.177174,0.100076,0.422504,0.389743,0.820847,0.350362,0.382368,0.539054,0.296063,0.319418,0.545184,0.482101,0.331934,0.284029,0.376951,0.201978,0.165361,0.140339,0.205951,0.349206,0.091543,0.330827,0.217963,0.089456,0.277274 +0,0,0,0,0,1,0.07363,0.307736,0.275755,0.443194,0.609551,0.832746,0.461162,0.851723,0.53226,0.544576,0.530529,0.481366,0.889908,0.617526,0.348598,0.192824,0.106458,0.790114,0.246741,0.297805,0.454671,0.572688,0.382526,0.38916,0.434996,0.386245,0.431682,0.089911,0.336885,0.207444,0.278332,0.170486,0.057887,0.306823,0.379535,0.308742,0.608327,0.355209,0.348916,0.388727,0.371147,0.191486,0.273133,0.090341,0.305383,0.11152,0.249744,0.117324,0.466885,0.465363,0.912623,0.456772,0.299496,0.364819,0.334938,0.346999,0.71972,0.447155,0.456058,0.141974,0.396083,0.134037,0.142151,0.144292,0.278393,0.253968,0.349254,0.240602,0.331711,0.419263,0.42743 +1,1,0,0,0,0,0.337151,0.162219,0.125011,0.426458,0.508373,0.274047,0.379637,0.499921,0.28024,0.422842,0.468965,0.271129,0.502722,0.528253,0.350951,0.363042,0.139744,0.114354,0.045163,0.16942,0.143825,0.180784,0.113142,0.217677,0.200961,0.357309,0.461745,0.275538,0.441265,0.43009,0.438099,0.296272,0.091744,0.106505,0.167958,0.369545,0.260137,0.298371,0.281359,0.351458,0.298758,0.242728,0.191552,0.176294,0.352646,0.259239,0.24074,0.179096,0.314335,0.300693,0.916413,0.504755,0.311272,0.363075,0.107404,0.209757,0.209189,0.295035,0.316099,0.193857,0.297484,0.250615,0.097514,0.137547,0.039715,0.460317,0.184628,0.43609,0.215037,0.032122,0.30623 +1,0,1,0,0,0,0.198498,0.107955,0.031572,0.471683,0.440483,0.40484,0.511699,0.432087,0.562056,0.847466,0.586842,0.299476,0.378477,0.557115,0.579794,0.571896,0.092927,0.106446,0.076277,0.106639,0.136503,0.075398,0.11467,0.116547,0.089812,0.226498,0.270373,0.153725,0.216161,0.198119,0.275364,0.183146,0.055333,0.1109,0.156863,0.302824,0.226532,0.117401,0.173506,0.152973,0.293749,0.193995,0.146888,0.097143,0.154854,0.114772,0.139289,0.086482,0.304805,0.195763,0.925865,0.575408,0.298017,0.062609,0.149119,0.138701,0.181573,0.319636,0.164819,0.100186,0.118751,0.077783,0.081918,0.100679,0.045466,0.460317,0.055209,0.43609,0.220178,0.086772,0.247617 +1,0,0,0,0,1,0.51363,0.332015,0.100081,0.899776,0.202192,0.298234,0.571158,0.416987,0.359417,0.576262,0.521476,0.440565,0.747184,0.373858,0.333243,0.314161,0.304556,0.219812,0.056539,0.048335,0.133112,0.137656,0.187563,0.222622,0.29588,0.322857,0.319775,0.183896,0.32261,0.295558,0.410703,0.241811,0.072008,0.082589,0.076259,0.016387,0.095428,0.082214,0.207652,0.235507,0.354831,0.30646,0.132352,0.086127,0.100703,0.139594,0.162619,0.115446,0.272837,0.204188,0.925734,0.432616,0.206775,0.151218,0.194481,0.17053,0.242297,0.196799,0.235462,0.123998,0.220971,0.092625,0.121544,0.102649,0.401359,0.301587,0.729669,0.285714,0.617209,0.632191,0.707321 +0,0,1,1,1,0,0.249947,0.126802,0.060241,0.625382,0.413873,0.578696,0.537382,0.585869,0.389985,0.412699,0.548407,0.49995,0.574694,0.595278,0.373152,0.392052,0.187521,0.205777,0.075231,0.160068,0.234029,0.211842,0.303443,0.171931,0.281796,0.295733,0.307844,0.223205,0.235684,0.242426,0.212484,0.12615,0.119274,0.207639,0.150816,0.185384,0.294864,0.160334,0.370817,0.246381,0.403011,0.208234,0.191278,0.165945,0.191843,0.228801,0.204113,0.092181,0.44463,0.303908,0.913886,0.406007,0.394428,0.380254,0.435588,0.230144,0.440462,0.417877,0.283191,0.289736,0.218512,0.204986,0.109433,0.110555,0.013174,0.428571,0.026653,0.406015,0.124753,0.088197,0.143831 +0,0,1,1,0,0,0.29461,0.114412,0.086165,0.431875,0.585818,0.377388,0.454795,0.411047,0.437941,0.458762,0.487357,0.346196,0.44515,0.361364,0.310216,0.211804,0.079118,0.068745,0.032456,0.171076,0.151962,0.075434,0.121491,0.181193,0.188716,0.416492,0.394861,0.289259,0.502206,0.414812,0.501427,0.265671,0.091594,0.133748,0.081073,0.602382,0.425963,0.131364,0.3203,0.193443,0.220883,0.308399,0.25562,0.237054,0.443002,0.351743,0.495439,0.243435,0.313784,0.211374,0.93009,0.568919,0.518199,0.154018,0.206318,0.188402,0.1893,0.29881,0.314634,0.277313,0.598091,0.294606,0.273879,0.175694,0.039189,0.730159,0,0.691729,0.025142,0.17449,0.109909 +0,0,1,0,0,0,0.170568,0.09677,0.233327,0.513419,0.679109,0.356577,0.367386,0.624911,0.341852,0.414257,0.445075,0.448702,0.537822,0.572632,0.241431,0.478235,0.106068,0.248994,0.191544,0.274454,0.269321,0.356277,0.514593,0.442726,0.626915,0.699801,0.616642,0.322164,0.481042,0.424546,0.571346,0.372459,0.081413,0.086642,0.077844,0.233017,0.238724,0.330495,0.470662,0.441112,0.466124,0.342981,0.261282,0.143683,0.237617,0.204321,0.343977,0.168955,0.297589,0.431812,0.855998,0.510951,0.343242,0.394521,0.423012,0.374144,0.610701,0.552564,0.437099,0.240924,0.390936,0.19325,0.213127,0.228432,0.178732,0.666667,0,0.631579,0.190141,0.317955,0.279998 +0,0,0,0,0,1,0.306899,0.157345,0.110519,0.747418,0.441969,0.235483,0.296715,0.484763,0.40062,0.357499,0.622671,0.39079,0.7064,0.565444,0.330108,0.495948,0.096247,0.074855,0.058541,0.054313,0.096266,0.205152,0.201298,0.175789,0.256011,0.347648,0.242886,0.146949,0.226534,0.264861,0.313883,0.19115,0.024517,0.035136,0.150112,0.053742,0.083998,0.156277,0.20488,0.139687,0.251216,0.118039,0.106643,0.062895,0.065914,0.07221,0.084135,0.062347,0.282661,0.207062,0.912667,0.497726,0.320354,0.309202,0.286278,0.207383,0.392021,0.276459,0.179912,0.097099,0.113447,0.109921,0.09179,0.095636,0.097422,0.380952,0.2221,0.360902,0.167566,0.137604,0.294047 +0,0,0,0,1,1,0.279557,0.430841,0.210623,0.682018,0.321036,0.402492,0.445478,0.512744,0.356847,0.652334,0.472076,0.315223,0.70379,0.338884,0.359631,0.381875,0.287644,0.675331,0.117655,0.296584,0.263997,0.421599,0.428464,0.553569,0.439901,0.620493,0.590109,0.286739,0.463151,0.438194,0.436917,0.311619,0.131486,0.287377,0.077844,0.126562,0.128875,0.127284,0.157156,0.288948,0.151247,0.158656,0.12741,0.055512,0.083236,0.125387,0.0828,0.073536,0.281302,0.439028,0.875468,0.34367,0.124399,0.27037,0.247818,0.358467,0.257867,0.431195,0.350558,0.200611,0.219076,0.193076,0.160051,0.162395,0.009801,0.126984,0,0.120301,0.041981,0,0.013083 +0,0,1,0,1,0,0.148172,0.173146,0.249469,0.643104,0.311451,0.659126,0.62162,0.60556,0.305015,0.590109,0.394425,0.221729,0.499348,0.399598,0.430282,0.603896,0.21514,0.510081,0.200775,0.301255,0.42424,0.568316,0.679594,0.394941,0.437647,0.64751,0.548738,0.334336,0.458272,0.312359,0.39248,0.292116,0.045713,0.226836,0.157274,0.1867,0.166933,0.367215,0.367021,0.459903,0.344915,0.22755,0.156058,0.179649,0.223253,0.140575,0.135634,0.112505,0.349645,0.387965,0.880913,0.476824,0.392786,0.436578,0.707758,0.380423,0.660199,0.625885,0.455917,0.236532,0.318645,0.159044,0.087857,0.169354,0.100767,0.349206,0.000765,0.330827,0.143825,0.093711,0.146538 +0,0,1,1,1,0,0.106268,0.018771,0.144926,0.253701,0.719287,0.548842,0.596319,0.654632,0.53486,0.70584,0.553328,0.615064,0.917076,0.482248,0.283901,0.366467,0.082685,0.085003,0.205659,0.319936,0.395851,0.348854,0.256127,0.243687,0.227923,0.504676,0.385394,0.287554,0.372249,0.229088,0.254452,0.18522,0.095777,0.151619,0.23911,0.551102,0.404258,0.469175,0.3492,0.273841,0.30062,0.341871,0.315869,0.175044,0.415947,0.141649,0.180009,0.128352,0.478801,0.419416,0.858394,0.510297,0.41006,0.368841,0.464051,0.374365,0.667853,0.686556,0.487814,0.441651,0.640781,0.215499,0.191876,0.233491,0.00807,0.730159,0,0.691729,0.020902,0.078925,0.05194 +1,0,0,0,0,1,0.344585,0.204007,0.21932,0.835713,0.351433,0.410929,0.424079,0.440584,0.20924,0.594479,0.509882,0.362778,0.551858,0.467864,0.417049,0.323821,0.266576,0.267904,0.097741,0.264731,0.247526,0.376177,0.58157,0.514056,0.419829,0.730141,0.641055,0.352346,0.640473,0.500874,0.541372,0.358699,0.089105,0.142538,0.226253,0.161608,0.176621,0.187205,0.228596,0.363486,0.214574,0.188642,0.133652,0.083133,0.160882,0.112827,0.116924,0.116551,0.400066,0.363853,0.892412,0.495107,0.447158,0.426724,0.493304,0.544097,0.322724,0.56846,0.339397,0.118891,0.315669,0.18563,0.140155,0.16669,0.157653,0.015873,0.347614,0.015038,0.295165,0.406474,0.390637 +0,0,0,0,0,1,0.482342,0.364644,0.214282,0.718607,0.183555,0.588237,0.594532,0.697,0.25777,0.400677,0.542884,0.388918,0.756755,0.466042,0.462512,0.304349,0.357324,0.42001,0.09081,0.27355,0.265429,0.477715,0.653666,0.466641,0.604242,0.721856,0.58845,0.369045,0.559296,0.520488,0.524853,0.360123,0.141377,0.191376,0.030997,0.111577,0.128497,0.220293,0.36524,0.284884,0.285498,0.17149,0.178231,0.084111,0.185303,0.177425,0.129928,0.070143,0.213382,0.205959,0.898859,0.326929,0.134211,0.356221,0.404656,0.328692,0.498934,0.450037,0.356623,0.140389,0.227043,0.207564,0.112461,0.172832,0.080337,0.174603,0.007248,0.639098,0.207596,0.021448,0.208962 +0,0,0,0,1,0,0.148269,0.032925,0.060015,0.470308,0.592016,0.72223,0.456665,0.748884,0.435463,0.209743,0.361729,0.120443,0.385954,0.188987,0.359631,0.336,0.045683,0.087747,0.031994,0.172543,0.160632,0.367553,0.102435,0.097513,0.131502,0.277668,0.314832,0.302071,0.338959,0.260621,0.482925,0.251889,0.054425,0.115715,0.150933,0.237031,0.404231,0.426271,0.201072,0.209482,0.134945,0.18231,0.211543,0.215588,0.315268,0.235692,0.358546,0.208619,0.331669,0.389092,0.927346,0.516646,0.442123,0.752318,0.276994,0.140985,0.236058,0.32087,0.279616,0.363549,0.45768,0.375258,0.441011,0.429205,0.104618,0.095238,0,0.526316,0.352041,0.00244,0.175895 +0,0,1,1,0,1,0.196921,0.083909,0.055869,0.412419,0.711369,0.259561,0.419191,0.622618,0.453912,0.337634,0.524411,0.476894,0.64551,0.382988,0.374604,0.260667,0.06589,0.038018,0.022939,0.095671,0.070988,0.070234,0.089262,0.114552,0.174358,0.257266,0.266041,0.14816,0.230942,0.253777,0.312583,0.203825,0.070614,0.082806,0.089468,0.543573,0.293629,0.237533,0.281782,0.331933,0.242933,0.406077,0.227932,0.235438,0.151892,0.11819,0.101779,0.159887,0.331962,0.227132,0.935709,0.59893,0.436192,0.177832,0.141817,0.124914,0.266996,0.32789,0.167693,0.184426,0.088546,0.121951,0.103149,0.070932,0.012656,0.301587,0.005291,0.285714,0.133577,0.032106,0.112347 +1,0,0,0,0,1,0.532533,0.338,0.117917,0.924455,0.278622,0.371733,0.378334,0.428103,0.428192,0.389814,0.519403,0.505306,0.737087,0.449465,0.310787,0.406249,0.283266,0.265835,0.056143,0.122876,0.138382,0.217201,0.362586,0.261106,0.346855,0.501048,0.360695,0.22596,0.356275,0.368025,0.375789,0.291546,0.129128,0.208157,0.06305,0.020786,0.117501,0.124105,0.258108,0.239738,0.235419,0.278314,0.168475,0.155765,0.186135,0.162894,0.162313,0.16999,0.293035,0.233579,0.918503,0.431744,0.219697,0.174692,0.236421,0.256316,0.275664,0.342659,0.192918,0.152411,0.254955,0.20665,0.114255,0.212664,0.129129,0.031746,0.289801,0.43609,0.262386,0,0.322915 +1,0,0,0,1,0,0.336551,0.184077,0.108226,0.875464,0.467411,0.307971,0.351328,0.510194,0.244968,0.280076,0.42738,0.336552,0.475916,0.390446,0.382071,0.444389,0.141075,0.134107,0.068575,0.047203,0.115671,0.152783,0.095538,0.117803,0.1123,0.189283,0.193417,0.091789,0.228339,0.209598,0.21327,0.151899,0.079766,0.160982,0.15381,0.090123,0.219895,0.229724,0.232983,0.240775,0.243593,0.141749,0.146513,0.128074,0.13304,0.146346,0.220125,0.179691,0.357797,0.301603,0.906569,0.331429,0.315543,0.357331,0.208048,0.179375,0.2173,0.188406,0.138427,0.052299,0.177713,0.106719,0.068933,0.092906,0.150585,0.095238,0.357061,0.090226,0.284253,0.416872,0.409954 +0,0,1,0,0,0,0.249866,0.10687,0.069402,0.359434,0.526952,0.473291,0.345409,0.665834,0.487824,0.513094,0.511291,0.407381,0.516094,0.48475,0.501384,0.552915,0.134728,0.176604,0.054724,0.13975,0.170905,0.242092,0.169897,0.260688,0.352056,0.542393,0.582607,0.339992,0.588582,0.509238,0.638919,0.384533,0.135248,0.178312,0.106728,0.560879,1,0.348569,0.318226,0.408391,0.45227,0.383336,0.38111,0.222371,0.398547,0.309601,0.317361,0.216135,0.340629,0.441369,0.929959,0.519231,0.336549,0.262306,0.201931,0.379232,0.86768,0.714633,0.779665,0.456605,0.924829,0.556327,0.375497,0.451261,0.052869,0.380952,0.124252,0.360902,0.199765,0.018567,0.201797 +0,0,0,1,1,0,0.186625,0.059895,0.091338,0.537077,0.546237,0.605182,0.419179,0.458622,0.32866,0.438028,0.50333,0.358075,0.693156,0.529091,0.352211,0.492303,0.094048,0.08125,0.056605,0.165,0.233868,0.299274,0.238062,0.272595,0.320795,0.560931,0.527645,0.32092,0.595969,0.528113,0.696973,0.291717,0.088347,0.088329,0.129975,0.268281,0.530097,0.413021,0.491144,0.650326,0.399251,0.279334,0.27139,0.169031,0.321394,0.342352,0.470639,0.190105,0.363783,0.265705,0.905741,0.623001,0.559198,0.489251,0.31568,0.33813,0.635992,0.742526,0.518131,0.472842,0.87655,0.565396,0.475685,0.258571,0.013338,0.333333,0.012667,0.315789,0.105772,0.02571,0.100682 +0,0,0,1,1,0,0.186431,0.076471,0.149602,0.537054,0.472449,0.457036,0.637159,0.693453,0.499854,0.532514,0.518666,0.283137,0.239041,0.712137,0.386048,0.614048,0.201361,0.179655,0.101889,0.229637,0.384042,0.323517,0.397521,0.321735,0.301133,0.459273,0.410833,0.280193,0.432589,0.387952,0.620807,0.2731,0.152298,0.172433,0.06035,0.230459,0.314171,0.318649,0.400603,0.472579,0.341438,0.258749,0.225245,0.116423,0.400484,0.231323,0.383751,0.14439,0.73313,0.417439,0.883396,0.451738,0.491711,0.489126,0.446291,0.472878,0.351384,0.838492,0.585211,0.252648,0.435195,0.320553,0.387501,0.162779,0.111367,0.380952,0.230158,0.360902,0.206216,0.002048,0.33003 +0,0,1,1,1,0,0.126618,0.004515,0.053396,0.462739,0.632344,0.70408,0.690289,0.567802,0.779319,0.439432,0.583475,0.394575,0.496367,0.6286,0.335292,0.217777,0.020083,0.011194,0.099051,0.126128,0.221988,0.194363,0.124121,0.189853,0.231923,0.361207,0.326443,0.244446,0.264906,0.322311,0.411289,0.376478,0.019754,0.051653,0.174768,0.137392,0.297468,0.224318,0.214932,0.398919,0.633856,0.477789,0.299033,0.269483,0.27667,0.391465,0.482991,0.285369,0.358752,0.248404,0.891367,0.592292,0.486028,0.346705,0.198285,0.298221,0.368228,0.490075,0.427333,0.371831,0.374999,0.294855,0.274482,0.383896,0.039967,0.793651,0,0.75188,0.136249,0.260829,0.22023 +0,0,0,1,1,0,0.143966,0.027569,0.130648,0.532245,0.792325,0.570913,0.425364,0.626922,0.786528,0.175927,0.55031,0,0.883193,0.397017,0.397827,0.549576,0.059697,0.060919,0.140616,0.152064,0.296111,0.356755,0.431805,0.43058,0.323961,0.496446,0.505141,0.231658,0.405223,0.239965,0.308295,0.20882,0.058561,0.076586,0.226077,0.279679,0.689695,0.376887,0.446898,0.692036,0.443328,0.384848,0.441275,0.35249,0.315109,0.278619,0.195173,0.17495,0.367584,0.317953,0.907396,0.558198,0.489582,0.707676,0.799575,0.825584,0.66548,0.711903,0.558196,0.243977,0.450361,0.198495,0.170454,0.181098,0.016532,0.015873,0.006114,0.413534,0.109721,0.102111,0.162024 +1,0,0,0,1,0,0.486013,0.275984,0.07531,0.853801,0.254022,0.150899,0.398244,0.4128,0.114079,0.50016,0.565881,0.469557,0.63253,0.797766,0.332658,0.30497,0.156359,0.090668,0.038672,0.081826,0.093466,0.121823,0.131651,0.204385,0.171998,0.312744,0.276163,0.139756,0.399575,0.328643,0.419864,0.24552,0.035981,0,0.047024,0.111039,0.188798,0.150102,0.163471,0.198363,0.216889,0.19772,0.069036,0.062271,0.100057,0.094908,0.163528,0.108125,0.270102,0.242948,0.942417,0.657575,0.551748,0.280366,0.141192,0.17449,0.221131,0.259541,0.180635,0.085943,0.235681,0.143314,0.120546,0.168795,0.142453,0.047619,0.134415,0.458647,0.338382,0.005191,0.350612 +1,0,0,0,0,1,0.164094,0.084962,0.208714,0.85308,0.394965,0.416048,0.621498,0.38587,0.413587,0.40921,0.562402,0.319538,0.572214,0.464703,0.407245,0.20888,0.090017,0.137008,0.095123,0.091236,0.080994,0.038797,0.127785,0.071667,0.071821,0.118718,0.181702,0.108899,0.207555,0.128133,0.241817,0.129124,0.050438,0.071835,0.011389,0.047087,0.028327,0,0.047638,0.002405,0.093938,0.003673,0.011523,0,0.001479,0.001045,0.019496,0,0.291309,0.198908,0.891933,0.33724,0.074552,0.008597,0.057388,0,0.039463,0,0,0.026854,0,0.026914,0.006888,0,0.3777,0.190476,0.094115,0.180451,1,0.172032,0.610063 +1,1,0,0,0,0,0.210927,0.102495,0.119883,0.808699,0.50693,0.344011,0.525872,0.482273,0.178169,0.674618,0.415872,0.301502,0.677768,0.423362,0.344626,0.414799,0.100006,0.103882,0.084737,0.090234,0.15832,0.170945,0.204683,0.16821,0.136317,0.309735,0.336244,0.218343,0.235491,0.231089,0.278866,0.164243,0.013662,0.050151,0.12252,0.081814,0.074338,0.099608,0.192581,0.173659,0.195453,0.173782,0.181722,0.106872,0.133994,0.141539,0.118207,0.070255,0.316006,0.212096,0.892412,0.387527,0.190163,0.146191,0.162899,0.234652,0.230648,0.270834,0.265295,0.174984,0.144293,0.114517,0.079982,0.077415,0.344175,0.412698,0.020392,0.390977,0.458935,0.10182,0.296115 +1,0,0,0,1,0,0.429478,0.344494,0.060162,0.813615,0.236453,0.446329,0.480793,0.426252,0.437244,0.502689,0.505666,0.478235,0.54981,0.597491,0.345804,0.503892,0.17555,0.185645,0.032918,0.001204,0.028529,0.068654,0.109629,0.142475,0.10887,0.218465,0.208753,0.150511,0.248336,0.170279,0.232927,0.174243,0.019314,0.071377,0.088998,0.061259,0.044894,0.061902,0.200386,0.201205,0.142806,0.120228,0.079683,0.090577,0.110615,0.067093,0.095335,0.052257,0.281008,0.239252,0.949691,0.407409,0.180929,0.104522,0.161558,0.17391,0.17133,0.259573,0.182,0.119577,0.117754,0.073603,0.077447,0.0958,0.035314,0.079365,0.134336,0.075188,0.103173,0.144272,0.126084 +0,0,1,1,0,0,0.356205,0.163714,0.164264,0.394889,0.603164,0.213422,0.672555,0.140885,0.713819,0.490967,0.222851,0.412702,0,0.161777,0.275282,0.256475,0.135898,0.14433,0.067893,0.166035,0.184742,0.290307,0.371469,0.450669,0.515429,0.572493,0.529326,0.349695,0.760224,0.707354,0.769043,0.590918,0.147422,0.192292,0.112716,0.528814,0.339888,0.452057,0.548192,0.79845,0.974045,0.544279,0.407448,0.35763,0.844949,0.724062,0.571626,0.359297,0.324838,0.331851,0.910663,0.572059,0.49842,0.518858,0.539949,0.50156,0.944151,0.701034,0.446221,0.316995,0.904044,0.734316,0.492932,0.802602,0.024763,0.047619,0.022403,0.045113,0.167443,0.117529,0.145429 +0,1,1,0,0,0,0.280696,0.271472,0.360236,0.5529,0.258248,0.444216,0.665244,0.458951,0.618007,0.58361,0.61092,0.453218,0.758104,0.74698,0.529473,0.67833,0.440671,0.580241,0.369214,0.444831,0.551845,0.562137,0.63788,0.454401,0.474109,0.62856,0.614183,0.380434,0.44001,0.461497,0.495311,0.283718,0.153168,0.268752,0.151403,0.201276,0.297058,0.267198,0.421854,0.475235,0.313243,0.214259,0.287093,0.167469,0.167012,0.189194,0.244108,0.086044,0.424965,0.391297,0.813137,0.48842,0.30834,0.40063,0.348189,0.307161,0.329809,0.498587,0.339334,0.293901,0.276273,0.28955,0.26221,0.141665,0.043333,0.52381,0,0.496241,0.156085,0.01192,0.091733 +0,1,1,0,0,0,0.272138,0.312294,0.205765,0.696667,0.347588,0.57429,0.432428,0.527955,0.472771,0.447449,0.553536,0.384299,0.564468,0.596013,0.283952,0.278672,0.244146,0.559408,0.154181,0.31758,0.184712,0.292335,0.46524,0.413772,0.41607,0.722253,0.539707,0.37055,0.53717,0.524302,0.546885,0.326081,0.187736,0.394417,0.14113,0.229097,0.232021,0.213917,0.381451,0.350204,0.344173,0.322633,0.140103,0.17259,0.274314,0.215378,0.219514,0.147112,0.41628,0.53696,0.863838,0.425433,0.173979,0.309523,0.423538,0.413941,0.385399,0.5655,0.309061,0.285413,0.454553,0.298247,0.217878,0.311225,0.016514,0.412698,0.027725,0.390977,0.088096,0.097296,0.117945 +0,0,1,1,1,0,0.184471,0.074843,0.088379,0.722527,0.54661,0.498164,0.480226,0.514112,0.360277,0.379202,0.5805,0.409759,0.844972,0.357184,0.245016,0.35523,0.100513,0.119828,0.06116,0.1208,0.210458,0.312097,0.263162,0.302541,0.298921,0.365961,0.381914,0.159767,0.283223,0.206863,0.320353,0.241918,0.057878,0.104328,0.110955,0.266962,0.192301,0.300302,0.367422,0.289525,0.374016,0.181602,0.337357,0.163038,0.186993,0.183273,0.189767,0.109627,0.364261,0.329757,0.923687,0.412545,0.393815,0.38286,0.252797,0.351428,0.348274,0.356014,0.32707,0.217239,0.229666,0.101155,0.107693,0.165531,0.022642,0.285714,0.002477,0.270677,0.108183,0.148726,0.132054 +1,0,0,0,0,1,0.204129,0.075837,0.08246,0.626257,0.602485,0.337018,0.483266,0.39556,0.428265,0.254824,0.50434,0.245794,0.57573,0.47721,0.307439,0.335514,0.065859,0.043265,0.043942,0.167277,0.171374,0.055528,0.058638,0.119172,0.121371,0.232168,0.259817,0.157372,0.255222,0.232834,0.265589,0.177279,0.04226,0.055642,0.180756,0.173049,0.11131,0.145361,0.231455,0.164092,0.214359,0.120022,0.200593,0.080043,0.142524,0.141606,0.136232,0.076442,0.33233,0.224633,0.912013,0.506159,0.394948,0.13175,0.109875,0.137971,0.114179,0.21926,0.145472,0.112848,0.117819,0.113918,0.057185,0.050556,0.063962,0.190476,0,0.661654,0.188766,0.124051,0.20967 +0,0,1,0,0,0,0.314846,0.149608,0.147377,0.564732,0.445455,0.623615,0.606501,0.467939,0.582697,0.431863,0.469375,0.582543,0.378837,0.578241,0.319486,0.391816,0.297441,0.273798,0.063415,0.202755,0.256404,0.62055,0.612786,0.487447,0.553596,0.556056,0.492277,0.366064,0.476046,0.465086,0.669133,0.421313,0.117646,0.163491,0.075966,0.13076,0.216925,0.390919,0.4495,0.435452,0.291386,0.259559,0.222139,0.175133,0.196681,0.258382,0.305112,0.215765,0.621252,0.354285,0.910881,0.492418,0.363915,0.717721,0.600948,0.430772,0.676918,0.506546,0.464852,0.29434,0.338288,0.238419,0.359464,0.423241,0.056724,0.238095,0.214773,0.225564,0.205262,0.340531,0.289606 +0,0,0,0,0,1,0.733801,0.40313,0.284441,0.725166,0.188509,0.411095,0.538053,0.422527,0.347807,0.549042,0.465808,0.361073,0.521182,0.444525,0.362002,0.464488,0.680582,0.462412,0.180641,0.397983,0.579758,0.616879,0.718129,0.662946,0.665805,0.675224,0.579978,0.347011,0.526385,0.402487,0.462128,0.273125,0.32377,0.225653,0.085594,0.07809,0.207811,0.158334,0.212465,0.239043,0.243473,0.147009,0.066624,0.091683,0.091088,0.116094,0.087045,0.060325,0.506766,0.153887,0.843976,0.336336,0.396162,0.400069,0.300855,0.426738,0.389898,0.369442,0.265049,0.161108,0.137814,0.159725,0.13565,0.102774,0.244209,0.238095,0,0.225564,0.310742,0.136029,0.224995 +0,0,1,1,0,0,0.394339,0.178054,0.119081,0.242173,0.670986,0.073576,0.569935,0.613042,0.1586,0.605232,0.213042,0.291311,0.547005,0.342185,0.368613,0.497609,0.117587,0.073712,0.044866,0.112926,0.153276,0.275537,0.299765,0.314267,0.447515,0.652715,0.589136,0.371917,0.593076,0.477141,0.613094,0.396138,0.151755,0.182314,0.176471,0.363281,0.48952,0.441802,0.825367,0.565058,0.814544,0.619279,0.515238,0.267472,0.319695,0.32307,0.266287,0.190254,0.260755,0.182141,0.925255,0.61201,0.421359,0.446605,0.515131,0.215167,0.629218,0.671847,0.545791,0.29111,0.416631,0.264709,0.214649,0.205977,0.075428,0.507937,0.027813,0.481203,0.242417,0.113726,0.33414 +0,0,1,1,1,0,0.274217,0.126356,0.086199,0.17778,0.597121,0.325447,0.537095,0.492721,0.508289,0.437297,0.614573,0.606648,0.696318,0.422988,0.350617,0.284701,0.09193,0.065395,0.025051,0.064992,0.101171,0.08788,0.09845,0.208778,0.236976,0.387917,0.501353,0.313546,0.517686,0.550332,0.511472,0.312473,0.127593,0.09448,0.074909,0.182805,0.377516,0.151104,0.335002,0.505881,0.389486,0.487256,0.322566,0.342982,0.495572,0.538178,0.471985,0.208802,0.303428,0.200016,0.933182,0.732055,0.288174,0.170379,0.157621,0.179186,0.206799,0.369525,0.441453,0.252893,0.433047,0.3902,0.228677,0.203245,0.007498,0.603175,0,0.571429,0.040566,0.04833,0.038518 +0,0,0,1,0,0,0.092899,0.118664,0.061562,0.228381,0.483127,0.696058,0.461598,0.597658,0.482805,0.450396,0.599502,0.497159,0.495448,0.520716,0.498371,0.551066,0.072875,0.288227,0.066265,0.263507,0.30295,0.21998,0.129093,0.128701,0,0.120147,0.099317,0.072751,0.167428,0.21288,0.229009,0.07966,0.067245,0.641454,0.11342,0.431596,0.564282,0.295804,0.330208,0.40718,0.151491,0.191414,0.104018,0.116984,0.252243,0.260689,0.249279,0.119747,0.375461,0.859143,0.906133,0.838791,0.675469,0.286187,0.312282,0.314722,0.174182,0.303588,0.16073,0.186985,0.286315,0.2932,0.176207,0.104836,0.037652,0.825397,0,0.781955,0.058365,0.133566,0.143939 +0,0,1,1,0,0,0.279109,0.137331,0.033684,0.146813,0.616297,0.387484,0.539389,0.636477,0.396027,0.69135,0.65364,0.149958,0.249747,0.393547,0.338912,0.397314,0.094265,0.091934,0.029881,0.156782,0.139449,0.239889,0.166254,0.245732,0.289052,0.50787,0.491896,0.430082,0.540374,0.402731,0.484685,0.259583,0.04823,0.068397,0.102031,0.190042,0.258412,0.220809,0.232362,0.485914,0.377372,0.447765,0.400358,0.343975,0.455709,0.309785,0.264871,0.165323,0.316667,0.196755,0.938104,0.713462,0.381971,0.350775,0.195946,0.281377,0.557566,0.626714,0.356753,0.511544,0.479454,0.229069,0.156746,0.134132,0.040176,0.698413,0,0.661654,0.009773,0.188844,0.09807 +0,0,1,1,1,0,0.156713,0.04197,0.078766,0.60191,0.612258,0.662082,0.408248,0.551602,0.372185,0.646444,0.509615,0.421938,0.551563,0.32664,0.242938,0.534435,0.100148,0.072299,0.067794,0.195766,0.25977,0.261149,0.24864,0.326202,0.256614,0.45439,0.476583,0.210001,0.451691,0.303532,0.319465,0.19877,0.128342,0.131456,0.116121,0.181618,0.227759,0.356918,0.318255,0.353008,0.229131,0.32953,0.238412,0.136752,0.240634,0.169949,0.146999,0.105762,0.52074,0.305434,0.907788,0.541654,0.543939,0.527055,0.379553,0.300248,0.459161,0.646035,0.301293,0.23299,0.360926,0.211669,0.139408,0.120392,0.017494,0.761905,0.012471,0.721805,0.07633,0.169504,0.138946 +1,0,0,0,0,1,0.151238,0.071004,0.046799,0.399817,0.676829,0.378563,0.49338,0.460551,0.380062,0.440453,0.529364,0.341435,0.457487,0.436141,0.351271,0.44081,0.036921,0.089552,0.040905,0.042685,0.036095,0,0,0.078689,0.073191,0.129152,0.147204,0.077018,0.175468,0.131429,0.182685,0.151342,0.125039,0.143568,0.098979,1,0.546686,0.126499,0.223932,0.423691,0.202415,0.217418,0.227262,0.102199,0.135924,0.152963,0.137567,0.128616,0.329557,0.448456,0.926082,0.500894,0.348984,0.077131,0.042777,0.108487,0.14211,0.189755,0.106824,0.06702,0.0813,0.047836,0.056187,0.054895,0.013077,0.698413,0.003445,0.661654,0.050718,0.166921,0.133281 +0,0,1,1,0,0,0.142562,0.036823,0.083781,0.703516,0.51113,0.531928,0.489943,0.513835,0.510733,0.657757,0.586433,0.552498,0.576419,0.49924,0.255135,0.227995,0.075024,0.065404,0.044063,0.110988,0.243332,0.19492,0.342526,0.33236,0.170675,0.381751,0.355478,0.213925,0.240771,0.317638,0.246863,0.199299,0.085652,0.135296,0.117941,0.157673,0.264727,0.25979,0.48395,0.454831,0.234586,0.25235,0.216945,0.1541,0.270821,0.168455,0.180733,0.124994,0.349516,0.259146,0.919462,0.4239,0.277821,0.371729,0.55217,0.469587,0.273438,0.6091,0.341358,0.28115,0.187823,0.313079,0.096191,0.143335,0.063242,0.857143,0,0.81203,0.078114,0.211311,0.165077 +0,0,1,1,0,0,0.146195,0.035167,0.034486,0.512909,0.704732,0.467791,0.422592,0.531635,0.288472,0.273891,0.528,0.161315,0.68034,0.344717,0.460027,0.38724,0.046334,0.021901,0.03305,0.170524,0.116012,0.190952,0.094125,0.129771,0.09457,0.231541,0.213657,0.118802,0.252066,0.280085,0.240668,0.16856,0.02666,0.042226,0.164553,0.208234,0.451791,0.317916,0.315733,0.194986,0.251862,0.122343,0.207604,0.116827,0.141347,0.145431,0.130785,0.110957,0.337085,0.232277,0.921291,0.493826,0.436321,0.292394,0.244541,0.177734,0.158163,0.337848,0.25611,0.165984,0.202134,0.223102,0.121685,0.117091,0.016254,0.666667,0.036615,0.631579,0.066237,0.120791,0.171833 +0,0,1,0,0,0,0.17608,0.100998,0.113286,0.683392,0.401103,0.491812,0.399344,0.438613,0.522443,0.385139,0.581708,0.268301,0.521156,0.360155,0.418758,0.583458,0.139936,0.229661,0.056429,0.238686,0.178386,0.299443,0.500096,0.31862,0.39096,0.476334,0.65077,0.269461,0.46955,0.408565,0.429699,0.237453,0.11191,0.183973,0.093988,0.208892,0.232212,0.287761,0.358505,0.395702,0.518703,0.484912,0.414278,0.195372,0.361529,0.242975,0.187889,0.11462,0.324618,0.47211,0.906525,0.424022,0.22814,0.336586,0.469447,0.292118,0.635906,0.565293,0.547409,0.211196,0.418073,0.308886,0.226755,0.16974,0.05552,0.555556,0.127372,0.526316,0.116938,0.148818,0.349993 +0,1,1,0,0,0,0.466144,0.207556,0.116923,0.49796,0.511176,0.171581,0.630504,0.411004,0.228253,0.583913,0.320513,0.342736,0.828911,0.444553,0.317946,0.285302,0.132263,0.069744,0.043975,0.125917,0.117985,0.205679,0.237997,0.197225,0.269176,0.5696,0.526165,0.391011,0.55864,0.395447,0.515258,0.335784,0.205122,0.165686,0.109604,0.466446,0.322293,0.466591,0.578631,0.617609,0.457445,0.627501,0.466053,0.305608,0.402489,0.40444,0.400913,0.235938,0.313142,0.212829,0.911011,0.514691,0.300382,0.409869,0.410445,0.205692,0.351337,0.589853,0.473578,0.423528,0.612781,0.302235,0.187553,0.262764,0.027134,0.666667,0.069696,0.631579,0.198363,0.131579,0.27041 +0,0,0,1,1,0,0.166345,0.043046,0.094874,0.295103,0.629829,0.664883,0.572476,0.493564,0.481728,0.581726,0.64477,0.445744,0.866483,0.726223,0.387608,0.336135,0.126337,0.126512,0.077333,0.265985,0.331116,0.383891,0.510095,0.499927,0.271884,0.448194,0.377845,0.318439,0.45072,0.344608,0.474418,0.456975,0.137344,0.136849,0.134085,0.442142,0.297778,0.413518,0.623665,0.570036,0.408502,0.336532,0.212714,0.239177,0.280379,0.27771,0.28596,0.315206,0.428472,0.380614,0.907309,0.575934,0.622259,0.688506,0.722921,0.765815,0.539174,0.52659,0.461627,0.342278,0.465009,0.338004,0.316121,0.623459,0.004825,0.428571,0,0.406015,0.016587,0.037858,0.017827 +0,0,0,1,1,0,0.105096,0.009582,0.059405,0.373124,0.521646,0.813835,0.66257,0.787045,0.558041,0.589794,0.616081,0.350749,0.748774,0.391597,0.272435,0.392603,0.065258,0.050799,0.031609,0.129128,0.18821,0.246728,0.239262,0.166308,0.32812,0.354906,0.217267,0.189713,0.338222,0.27733,0.330887,0.233908,0.063427,0.073716,0.161911,0.27223,0.198974,0.255487,0.298349,0.356534,0.478085,0.2015,0.154793,0.145528,0.218108,0.160108,0.221107,0.107698,0.436845,0.307481,0.924079,0.665021,0.543225,0.646564,0.484024,0.319293,0.955114,0.498389,0.277883,0.28541,0.313847,0.190662,0.161999,0.188057,0.006953,0.650794,0,0.616541,0.029386,0.013829,0.011672 +1,1,0,0,0,0,0.322092,0.251811,0.118064,0.717664,0.240106,0.556975,0.514771,0.704621,0.373668,0.708545,0.694213,0.385199,0.65494,0.455044,0.374899,0.480461,0.275741,0.38097,0.087025,0.122941,0.139901,0.294754,0.290284,0.275538,0.179554,0.31058,0.305203,0.157779,0.252461,0.263881,0.289508,0.157784,0.099464,0.169836,0.129917,0.24082,0.175126,0.300697,0.299125,0.389325,0.202399,0.253829,0.171673,0.152706,0.130997,0.178163,0.130652,0.062825,0.352436,0.281451,0.920551,0.526383,0.376177,0.463862,0.515082,0.446509,0.312189,0.495488,0.368536,0.205335,0.313183,0.170317,0.089321,0.120731,0.076321,0.047619,0,0.045113,0.274486,0.235293,0.285429 +0,1,1,0,0,0,0.333517,0.151931,0.109389,0.506331,0.536585,0.121649,0.414589,0.485716,0.503717,0.22707,0.330397,0.296229,0.516717,0.356579,0.395084,0.276905,0.105269,0.049452,0.033435,0.127933,0.08553,0.10801,0.128961,0.207345,0.216106,0.400099,0.373327,0.234562,0.453351,0.471402,0.492598,0.265504,0.063455,0.057656,0.069743,0.264118,0.174611,0.163506,0.193074,0.242472,0.195563,0.246179,0.21262,0.164558,0.35786,0.324904,0.303031,0.210371,0.290024,0.211052,0.927302,0.489946,0.276552,0.175998,0.155962,0.143431,0.167952,0.260383,0.232592,0.128536,0.365647,0.275415,0.152321,0.162567,0.131786,0.142857,0.060743,0.135338,0.263769,0.264699,0.271213 +1,0,0,0,0,0,0.446448,0.248162,0.247436,0.698855,0.363104,0.35935,0.571174,0.527351,0.402216,0.539359,0.572983,0.305839,0.650384,0.553565,0.335238,0.318683,0.350803,0.261719,0.211853,0.345014,0.337493,0.371855,0.403734,0.390594,0.324417,0.536072,0.447557,0.290155,0.343057,0.363892,0.408647,0.318293,0.372823,0.362673,0.431725,0.521373,0.552296,0.426167,0.488073,0.795527,0.382289,0.226245,0.338083,0.168512,0.233972,0.169461,0.279557,0.270906,0.694846,0.383325,1,0.497576,0.608805,0.72643,0.662644,0.489966,0.661554,0.778425,0.540725,0.396951,0.428912,0.387833,0.319142,0.304764,0.037766,0.52381,0.046374,0.496241,0.155373,0.062287,0.218369 +1,0,0,0,0,1,0.696816,0.565358,0.461346,0.765631,0.076154,0.480289,0.228627,0.237527,0.375989,0.2713,0.935801,1,0.825112,0.069309,0.142582,0.187908,0.690793,0.598689,0.415401,0.435367,0.398844,0.46403,0.314195,0.368797,0.260055,0.512782,0.891866,1,0.185074,0.592686,0.708504,0.222963,0.080187,0.167281,0.247564,0.120944,0.058184,0.113817,0.064375,0.053814,0.040731,0.097613,0.07287,0.1374,0.026503,0.078993,0.047653,0.01695,0,0.112504,0.733818,0.26621,0.096658,0.139477,0.072268,0.091084,0.060927,0.258975,0.164681,0.127757,0.073813,0.148796,0.086137,0.035861,0.488234,0.190476,0.67563,0.180451,0.595444,0.684154,0.667569 +0,0,1,0,0,0,0.561516,0.332402,0.320215,0.697933,0.213145,0.149465,0.532874,0.504253,0.481641,0.297163,0.607454,0.550463,0.706742,0.698219,0.488323,0.686373,0.4551,0.361778,0.215319,0.326953,0.311976,0.490251,0.583671,0.630345,0.770552,0.909588,0.6022,0.645022,0.540459,0.609509,0.499461,0.328744,0.11774,0.13171,0.178173,0.119807,0.193083,0.158307,0.384085,0.490632,0.40009,0.216295,0.124753,0.114806,0.154814,0.163435,0.160127,0.111615,0.214282,0.206,0.84611,0.397828,0.205959,0.375869,0.339697,0.559578,0.504163,0.371058,0.430252,0.415475,0.282943,0.256485,0.172378,0.109853,0.250366,0.349206,0.180314,0.330827,0.442769,0.09911,0.38549 +0,0,0,0,0,1,0.417329,0.25745,0.159995,0.766539,0.273211,0.206427,0.50321,0.665807,0.32451,0.614258,0.670169,0.298653,0.703171,0.506373,0.442462,0.625099,0.165865,0.110668,0.036912,0.042663,0.08495,0.19066,0.286138,0.288101,0.272998,0.431764,0.374144,0.203585,0.372421,0.345438,0.428866,0.223911,0.118572,0.108954,0.110015,0.089319,0.162516,0.164337,0.166177,0.30784,0.231536,0.189525,0.173568,0.081552,0.110312,0.096608,0.145719,0.072065,0.20903,0.151241,0.930917,0.430636,0.134224,0.186063,0.315492,0.340519,0.2855,0.293193,0.24373,0.115999,0.15023,0.168542,0.110329,0.094467,0.016279,0.190476,0.085629,0.180451,0.107393,0.2195,0.192819 +0,1,1,0,0,0,0.327146,0.145272,0.138499,0.463302,0.580168,0.203875,0.507064,0.457612,0.385984,0.410195,0.614336,0.346549,0.566051,0.341917,0.343986,0.330281,0.105077,0.067548,0.044569,0.182586,0.159171,0.143347,0.100812,0.182584,0.243272,0.371745,0.363413,0.338209,0.567477,0.457314,0.457748,0.280496,0.117478,0.082127,0.02994,0.535643,0.314101,0.165561,0.153756,0.211703,0.285022,0.293183,0.17689,0.196079,0.309647,0.268235,0.20043,0.148006,0.276767,0.187544,0.924732,0.580009,0.231354,0.181565,0.107278,0.155686,0.178134,0.258869,0.191405,0.225167,0.461649,0.200535,0.157056,0.133576,0.096353,0.301587,0,0.285714,0.342711,0.161277,0.347379 +0,0,1,1,1,0,0.149797,0.030147,0.076733,0.366344,0.649027,0.819281,0.639393,0.680508,0.475543,0.378523,0.35549,0.389301,0.353115,0.399002,0.446302,0.387605,0.103009,0.075519,0.049971,0.165465,0.197232,0.325544,0.389038,0.232367,0.313537,0.39051,0.26473,0.270233,0.297262,0.242311,0.306812,0.268146,0.121146,0.137015,0.112422,0.30423,0.471739,0.404311,0.862828,0.541871,0.493187,0.392889,0.227418,0.329062,0.280122,0.21166,0.308454,0.199144,0.68774,0.431842,0.915977,0.60511,0.772408,0.889718,0.780909,0.468887,0.70846,0.6505,0.451123,0.531022,0.354854,0.318103,0.173836,0.356578,0.016148,0.349206,0.001931,0.330827,0.099943,0.047762,0.071014 +0,1,1,0,0,0,0.305176,0.141756,0.108226,0.465763,0.579471,0.211346,0.397295,0.496279,0.392,0.356744,0.479135,0.296823,0.515643,0.427985,0.335072,0.307176,0.092432,0.056917,0.050862,0.161286,0.118973,0.128781,0.091007,0.171593,0.170176,0.339201,0.398152,0.26326,0.47925,0.39026,0.367378,0.292327,0.021495,0.016822,0.148879,0.247836,0.208515,0.216414,0.088118,0.211957,0.152823,0.206676,0.192148,0.173256,0.224347,0.246105,0.237136,0.163687,0.329483,0.217845,0.906351,0.722778,0.459463,0.412813,0.085194,0.105209,0.081096,0.266041,0.297707,0.205589,0.345104,0.195961,0.134762,0.158666,0.08235,0.460317,0.155592,0.43609,0.313414,0.021011,0.403894 +0,0,1,1,0,0,0.188472,0.065983,0.16649,0.336888,0.982004,0.201726,0.279542,0.461727,0.467402,0.552694,0.504295,0.370832,0.598819,0.315978,0.248791,0.110329,0.034958,0.018516,0.187594,0.079576,0.122861,0.187403,0.121785,0.174183,0.162449,0.18918,0.190559,0.104502,0.204,0.200214,0.33871,0.260507,0.060994,0.066751,0.248209,0.273504,0.389907,0.39297,0.365058,0.414218,0.327813,0.2242,0.16946,0.162672,0.216499,0.210771,0.247407,0.238182,0.318007,0.214302,0.862793,0.614337,0.4811,0.218402,0.158266,0.284122,0.448931,0.338396,0.239615,0.157809,0.314871,0.224325,0.177533,0.303919,0.004704,0.31746,0.036477,0.300752,0.056146,0.057021,0.097299 +0,0,0,1,0,0,0.297212,0.120743,0.169867,0.342983,0.506634,0.654924,0.634682,0.772658,0.651265,0.46803,0.616138,0.359553,0.593328,0.726777,0.326031,0.518468,0.346957,0.238804,0.095475,0.395303,0.545593,0.388621,0.486902,0.433009,0.270821,0.595252,0.479479,0.249999,0.473949,0.332076,0.467518,0.200477,0.267127,0.282797,0.365739,0.275388,0.70931,0.261637,0.366451,0.396716,0.318661,0.209798,0.25563,0.095769,0.264638,0.134679,0.382136,0.157844,0.897339,0.5023,0.904173,0.629737,0.907186,0.654766,0.969503,0.837529,0.620206,0.823024,0.552553,0.267369,0.616456,0.463283,0.295508,0.261934,0.019818,0.15873,0,0.150376,0.159058,0.063671,0.118684 +1,1,0,0,0,0,0.540211,0.35862,0.090344,0.711746,0.260835,0.519423,0.477814,0.467372,0.322755,0.43379,0.630586,0.525501,0.706588,0.379234,0.387168,0.653531,0.316136,0.288473,0.05611,0.097295,0.162915,0.307044,0.417206,0.219608,0.361322,0.413271,0.323129,0.216261,0.319821,0.322503,0.407221,0.250893,0.105612,0.162165,0.134496,0.034206,0.14641,0.167077,0.317671,0.207446,0.25079,0.204611,0.10701,0.069454,0.099628,0.096835,0.102542,0.100052,0.394282,0.224023,0.918895,0.516707,0.44749,0.339672,0.378016,0.319812,0.354814,0.311377,0.152026,0.125055,0.136955,0.151046,0.08385,0.147215,0.067618,0.365079,0.297987,0.345865,0.178915,0.066282,0.315169 +0,0,1,0,0,0,0.376112,0.720599,0.334143,0.528168,0.262503,0.313902,0.482412,0.542867,0.384915,0.450725,0.418089,0.643942,0.784282,0.571565,0.480291,0.500183,0.457057,0.711377,0.281265,0.445025,0.43738,0.694456,0.645845,0.573223,0.591168,0.847037,0.767292,0.412392,0.476741,0.493239,0.553418,0.414345,0.257966,0.754516,0.193495,0.326941,0.333255,0.717876,0.345665,0.529496,0.444635,0.248382,0.278733,0.192426,0.164813,0.145188,0.232332,0.199937,0.574338,0.538385,0.844629,0.40419,0.438829,0.873419,0.450596,0.637534,0.56748,0.69823,0.444804,0.340973,0.348843,0.343984,0.248245,0.428089,0.03649,0.333333,0,0.315789,0.129367,0.045456,0.080549 +0,0,0,0,0,1,0.92833,0.789835,0.22786,0.599544,0.111164,0.406341,0.312295,0.614965,0.497675,0.685066,0.616608,0.5124,0.775056,0.565115,0.384398,0.47462,1,0.674277,0.174271,0.226956,0.430817,0.503418,0.478661,0.285798,0.209053,0.423019,0.213167,0.182717,0.26993,0.206959,0.225772,0.149566,0.106941,0.300723,0.158624,0.152883,0.179351,0.54122,0.484792,0.547161,0.399342,0.249635,0.106072,0.107328,0.098808,0.071141,0.085559,0.041895,0.109767,0.13519,0.857305,0.506423,0.228166,0.313295,0.340505,0.175271,0.174756,0.194782,0.097967,0.152876,0.224354,0.084766,0.047169,0.068868,0.886449,0.190476,0.965806,0.180451,0.799096,0.966814,0.925971 +1,0,0,0,0,1,0.517647,0.339055,0.071333,0.942505,0.286112,0.388496,0.345221,0.546184,0.320699,0.55288,0.537451,0.442125,0.543689,0.416155,0.294351,0.286362,0.219277,0.22014,0.043546,0.077564,0.076013,0.1438,0.145992,0.124348,0.197387,0.278981,0.366597,0.219294,0.226373,0.245226,0.289324,0.175857,0.123186,0.195309,0.133263,0.03007,0.112991,0.157547,0.201782,0.181782,0.262257,0.158281,0.147387,0.117172,0.121702,0.128311,0.128817,0.077236,0.305944,0.209473,0.929567,0.38395,0.19809,0.191105,0.156902,0.137544,0.205543,0.221354,0.274722,0.177871,0.11207,0.087909,0.062455,0.101605,0.04562,0.730159,0.018017,0.691729,0.170938,0.166889,0.212055 +0,1,0,0,0,0,0.317001,0.214373,0.140295,0.807363,0.284385,0.577951,0.478405,0.527612,0.374805,0.500503,0.597184,0.333218,0.608362,0.467117,0.2989,0.503694,0.240078,0.306895,0.087807,0.169814,0.273771,0.381116,0.4172,0.368226,0.314361,0.63514,0.501201,0.211444,0.42653,0.387988,0.337956,0.210746,0.085418,0.186672,0.044382,0.219088,0.150713,0.303306,0.216065,0.244647,0.230965,0.245267,0.317444,0.118628,0.12343,0.118699,0.173337,0.075367,0.256973,0.182546,0.916151,0.300447,0.254893,0.461884,0.496514,0.354096,0.360436,0.431268,0.331133,0.100239,0.287301,0.14925,0.105334,0.171535,0.02886,0.174603,0.077341,0.165414,0.155279,0.110412,0.130212 +0,0,1,1,1,0,0.502141,0.315551,0,0.596932,0.363088,0.600318,0.322299,0.624004,0.37495,0.608518,0.550964,0.184231,0.766499,0.517954,0.587147,0.392097,0.235353,0.224564,0.041334,0.141188,0.209066,0.144784,0.125394,0.22447,0.308263,0.425291,0.321526,0.216463,0.427494,0.593068,0.605245,0.513653,0.363428,0.491665,0.236997,0.44828,0.630632,0.257984,0.347245,0.559049,0.401854,0.566028,0.388259,0.268907,0.51052,0.710876,0.59868,0.412613,0.374341,0.294651,0.932181,0.613057,0.65288,0.316738,0.289063,0.322489,0.571881,0.788263,0.551744,0.369779,0.382386,0.770562,0.395281,0.728417,0.050028,0.761905,0,0.721805,0.050064,0.209228,0.137465 +0,0,0,0,1,0,0.284233,0.199201,0.139888,0.823944,0.2787,0.325266,0.522478,0.738194,0.638721,0.55815,0.593047,0.406516,0.665989,0.487909,0.404227,0.262329,0.193788,0.23526,0.134037,0.125361,0.262501,0.266633,0.276855,0.219944,0.293826,0.292351,0.233251,0.119153,0.232622,0.127528,0.227272,0.136243,0.103431,0.17992,0.210227,0.11194,0.191382,0.144871,0.301269,0.330863,0.305559,0.157945,0.153981,0.065108,0.096806,0.074934,0.105671,0.048394,0.263271,0.170889,0.914409,0.38169,0.317069,0.24414,0.213204,0.280317,0.470395,0.289957,0.177989,0.080727,0.0882,0.043231,0.056948,0.074198,0.065392,0.253968,0.134181,0.240602,0.266253,0.214375,0.243031 +0,1,1,0,0,0,0.2489,0.101394,0.051057,0.540173,0.425073,0.686623,0.330119,0.549519,0.29964,0.082914,0.330694,0.283446,0.574826,0.392995,0.398545,0.493185,0.132573,0.183874,0.049333,0.17424,0.213104,0.315556,0.207414,0.263161,0.341416,0.557822,0.49712,0.367517,0.528988,0.433927,0.634083,0.566808,0.079083,0.187827,0.135494,0.216114,0.238462,0.215014,0.408845,0.382766,0.366717,0.278614,0.214286,0.196942,0.20427,0.23021,0.312536,0.188692,0.361984,0.436066,0.924471,0.479756,0.368138,0.328528,0.248268,0.251971,0.601809,0.545787,0.400471,0.375489,0.461669,0.375649,0.221468,0.350979,0.066739,0.253968,0.013867,0.240602,0.226165,0.213229,0.225362 +0,0,1,1,1,0,0.187278,0.073237,0.147795,0.665041,0.570547,0.397694,0.655782,0.550382,0.676606,0.292693,0.573014,0.129363,0.283433,0.524771,0.303275,0.343129,0.105065,0.114997,0.1153,0.221575,0.365406,0.323798,0.308069,0.343595,0.234109,0.478519,0.364732,0.214592,0.41898,0.322901,0.323537,0.179689,0.092895,0.138046,0.046965,0.266577,0.2803,0.145409,0.271432,0.506017,0.286942,0.24858,0.15838,0.171568,0.253094,0.207144,0.13883,0.084054,0.384771,0.291289,0.902735,0.421388,0.316638,0.397551,0.40056,0.498445,0.322897,0.626576,0.268787,0.240433,0.324725,0.242527,0.149767,0.157023,0.06301,0.619048,0,0.586466,0.067203,0.199335,0.154089 +0,0,1,0,0,0,0.327734,0.14846,0.303904,0.126475,0.360788,0.799689,0.511326,0.658937,0.466301,0.84917,0.537577,0.476717,0.804427,0.523563,0.50956,0.731315,0.456419,0.39414,0.154786,0.307994,0.352351,0.458252,0.488574,0.513445,0.619939,0.76665,0.505548,0.324497,0.508066,0.532265,0.522701,0.269623,0.289502,0.297876,0.113949,0.339094,0.222182,0.236913,0.35438,0.430394,0.498604,0.284633,0.201413,0.159379,0.214832,0.217626,0.260538,0.085079,0.794385,0.331904,0.864492,0.590697,0.263046,0.226136,0.331146,0.331264,0.772864,0.678127,0.250559,0.240377,0.237825,0.326117,0.161393,0.158687,0.081941,0.301587,0.359725,0.285714,0.231877,0.330765,0.334728 +1,0,0,0,0,0,0.471003,0.322812,0.102905,0.827903,0.320221,0.405281,0.372436,0.536035,0.120739,0.400164,0.548148,0.235952,0.558484,0.397672,0.297165,0.211169,0.181142,0.207445,0.063899,0.053757,0.147709,0.186678,0.13256,0.199709,0.156581,0.275864,0.232345,0.159372,0.189375,0.193534,0.235917,0.14793,0.067825,0.101523,0.238816,0.008867,0.108684,0.121459,0.107015,0.255267,0.140719,0.152553,0.095342,0.060172,0.052575,0.112685,0.086492,0.068916,0.345568,0.19845,0.930917,0.590753,0.237478,0.241066,0.145373,0.332798,0.236252,0.376481,0.124616,0.140447,0.115295,0.074045,0.111641,0.072883,0.045911,0.507937,0.055924,0.481203,0.155049,0.064556,0.232877 +0,0,1,1,0,0,0.27081,0.124587,0.015317,0.386798,0.490437,0.423374,0.463725,0.537142,0.344487,0.389209,0.421377,0.589613,0.615945,0.069906,0.16829,0.20343,0.084648,0.099133,0.041719,0.205122,0.153929,0.298988,0.098855,0.174028,0.155919,0.185078,0.265551,0.210027,0.260301,0.300464,0.53346,0.344957,0.203288,0.257495,0.139427,0.508028,0.500354,0.508541,0.280248,0.442433,0.492749,0.428028,0.289671,0.306051,0.465505,0.534489,0.687212,0.431765,0.312168,0.419076,0.937103,0.653898,0.436956,0.826909,0.169818,0.379502,0.405512,0.459498,0.407334,0.423258,0.538493,0.485135,0.573281,0.622071,0.029179,0.492063,0.001516,0.466165,0.194998,0.145314,0.19043 +0,0,1,1,0,0,0.236476,0.103632,0.130863,0.539398,0.47854,0.456133,0.5474,0.562876,0.645285,0.357548,0.617366,0.46141,0.672202,0.606964,0.355221,0.606791,0.192964,0.164867,0.073185,0.208293,0.255784,0.338606,0.447116,0.381046,0.409513,0.411159,0.435049,0.296587,0.362629,0.366885,0.431574,0.268268,0.160542,0.162045,0.206469,0.15076,0.275499,0.320771,0.855556,0.441989,0.525603,0.307944,0.267303,0.233941,0.27078,0.264469,0.329834,0.161924,0.638347,0.340363,0.913756,0.59381,0.480607,0.44892,0.80776,0.58372,0.782002,0.547283,0.407464,0.321223,0.361447,0.388097,0.235692,0.151488,0.078392,0.349206,0,0.330827,0.282422,0.108261,0.195488 +0,0,0,1,1,0,0.300619,0.116943,0.090322,0.395932,0.585418,0.375001,0.542394,0.269942,0.333558,0.518746,0.409839,0.427852,0.476376,0.399306,0.273183,0.263164,0.069692,0.073704,0.035602,0.030949,0.042746,0.056723,0.103668,0.193542,0.190285,0.408334,0.464425,0.229331,0.420999,0.395303,0.434232,0.238102,0.066805,0.119116,0.131502,0.238302,0.286781,0.331152,0.419405,0.636833,0.572665,0.711233,0.454076,0.463113,0.357101,0.42161,0.48183,0.345128,0.311103,0.221054,0.921073,0.570274,0.339573,0.129974,0.25556,0.30468,0.233785,0.455778,0.578982,0.280181,0.615278,0.29877,0.245348,0.166124,0.022198,0.698413,0,0.661654,0.132568,0.152593,0.176602 +0,0,0,1,1,0,0.106705,0.007538,0.120527,0.381411,0.76017,0.660777,0.604326,0.561396,0.544033,0.565609,0.655637,0.407084,0.611444,0.26429,0.448488,0.760233,0.033564,0.030872,0.09443,0.140204,0.34967,0.31581,0.263709,0.234101,0.26349,0.398557,0.304366,0.217082,0.389915,0.341495,0.271367,0.215952,0.066075,0.093426,0.159152,0.274958,0.2695,0.235879,0.277268,0.280808,0.187229,0.282626,0.239747,0.097486,0.152331,0.146067,0.197595,0.115987,0.361194,0.27417,0.884877,0.539908,0.444234,0.415157,0.410481,0.281807,0.325744,0.33004,0.467595,0.138844,0.221044,0.142727,0.134379,0.243557,0.132246,0.761905,0,0.721805,0.149582,0.335487,0.305788 +0,0,0,0,0,1,0.337545,0.402507,0.210306,0.658041,0.224079,0.617601,0.597364,0.598626,0.302738,0.497964,0.477694,0.47387,0.410453,0.416381,0.406874,0.448144,0.43716,0.656949,0.095321,0.299608,0.385581,0.508948,0.734687,0.536731,0.753138,0.803721,0.832031,0.322276,0.613115,0.475751,0.535921,0.302492,0.149013,0.335194,0.162557,0.079167,0.219721,0.129562,0.286402,0.253043,0.27769,0.254493,0.161134,0.102844,0.229091,0.203071,0.141034,0.127778,0.508492,0.317777,0.885922,0.423651,0.38211,0.333643,0.265636,0.306555,0.472531,0.384708,0.506751,0.137024,0.340121,0.219392,0.128396,0.119306,0.144981,0.190476,0.144557,0.661654,0.17808,0.008315,0.203656 +0,0,0,0,0,1,0.61072,0.436095,0.243753,0.61112,0.219128,0.569678,0.336155,0.472062,0.356011,0.649409,0.569394,0.408748,0.58915,0.519874,0.347002,0.673213,0.476211,0.470368,0.127271,0.349711,0.367508,0.549711,0.904444,0.532783,0.771589,0.798117,0.536064,0.468235,0.452845,0.412959,0.602232,0.344177,0.274304,0.247771,0.202243,0.607775,0.209079,0.287876,0.852191,0.283278,0.276403,0.275792,0.128654,0.153311,0.150324,0.102126,0.118901,0.103588,0.401425,0.305252,0.883875,0.478151,0.352665,0.395256,0.632446,0.607698,0.625072,0.730985,0.392404,0.418842,0.237817,0.110527,0.200064,0.190627,0.037361,0.619048,0.005093,0.586466,0.076624,0.143582,0.215193 +0,0,1,0,1,0,0.388249,0.266819,0.119194,0.698994,0.282574,0.337936,0.399056,0.449607,0.268814,0.37572,0.612507,0.437755,0.749356,0.551221,0.36039,0.293861,0.23443,0.315874,0.068047,0.134526,0.076031,0.165043,0.245803,0.238049,0.269444,0.380024,0.299292,0.276797,0.395144,0.295969,0.366777,0.203202,0.173605,0.195245,0.109193,0.193479,0.162123,0.164649,0.261556,0.396535,0.456179,0.34647,0.148068,0.171301,0.155652,0.1431,0.148914,0.132695,0.327666,0.426755,0.924863,0.489593,0.250905,0.207929,0.22547,0.346931,0.421635,0.362376,0.198998,0.265681,0.290887,0.124734,0.152726,0.125921,0.476844,0.301587,0.579062,0.285714,0.432692,0.354981,0.548205 +0,1,0,0,0,0,0.467856,0.327403,0.423166,0.559784,0.217679,0.338562,0.611555,0.656919,0.330105,0.607531,0.667706,0.452365,0.572163,0.451897,0.445913,0.483964,0.514401,0.52385,0.282024,0.332329,0.394108,0.558386,0.346447,0.317786,0.40307,0.457423,0.509655,0.353214,0.484173,0.429243,0.487603,0.308798,0.151755,0.151808,0.25455,0.229884,0.283618,0.478143,0.402707,0.443389,0.320958,0.238712,0.317936,0.16415,0.249455,0.227929,0.237662,0.09468,0.342263,0.36349,0.79114,0.404801,0.250907,0.451122,0.266883,0.202196,0.383906,0.402344,0.283989,0.250931,0.250912,0.290741,0.137796,0.137962,0.583972,0.206349,0.813325,0.195489,0.699816,0.797573,0.798201 +1,1,1,0,0,0,0.218983,0.053855,0.10539,0.545117,0.614567,0.488599,0.432238,0.23666,0.501378,0.265422,0.535587,0.387408,0.579219,0.359719,0.267642,0.471553,0.063004,0.029089,0.056132,0.09655,0.189369,0.174817,0.134896,0.21006,0.236174,0.402506,0.511702,0.383304,0.675849,0.603466,0.651613,0.526954,0.066768,0.088324,0.157156,0.109939,0.176716,0.123921,0.191503,0.253154,0.314807,0.258246,0.169123,0.197915,0.371796,0.280939,0.230623,0.154099,0.314776,0.230147,0.921552,0.488225,0.3495,0.229482,0.252639,0.274094,0.419486,0.560003,0.621582,0.410314,0.496136,0.379325,0.251905,0.434385,0.070951,0.31746,0.119769,0.300752,0.23005,0.306271,0.526409 +1,1,1,0,0,0,0.462845,0.303201,0.127655,0.674753,0.302569,0.645185,0.514291,0.400809,0.700525,0.518253,0.446151,0.585166,0.598777,0.378723,0.424602,0.550594,0.303503,0.351208,0.091041,0.133491,0.18741,0.374056,0.383967,0.288593,0.323866,0.39796,0.455688,0.316247,0.36955,0.336888,0.441589,0.283295,0.108653,0.212205,0.081719,0.083763,0.218761,0.341205,0.55147,0.306068,0.419062,0.203209,0.194327,0.147649,0.256483,0.184526,0.235089,0.166344,0.35429,0.199799,0.907919,0.481093,0.256743,0.606206,0.387386,0.282934,0.561367,0.35199,0.279877,0.248366,0.248081,0.175827,0.171376,0.168774,0.11637,0.063492,0.008938,0.481203,0.286279,0.112654,0.298961 +0,0,0,1,1,0,0.230299,0.079344,0.007625,0.548415,0.49797,0.500273,0.646732,0.51341,0.745482,0.538092,0.642849,0.459095,0.454775,0.181682,0.121789,0.181842,0.106365,0.101402,0.031939,0.153067,0.129728,0.144389,0.188486,0.337007,0.194835,0.281477,0.261529,0.148843,0.302782,0.200604,0.368645,0.325132,0.119415,0.178718,0.124985,0.191541,0.21035,0.161091,0.554642,0.61958,0.378435,0.285765,0.243577,0.197906,0.267005,0.201468,0.249061,0.208808,0.49966,0.333464,0.944507,0.490923,0.211992,0.298754,0.432168,0.357576,0.466171,0.399518,0.37005,0.160799,0.288432,0.263754,0.266307,0.41068,0.011425,0.079365,0.003583,0.075188,0.110943,0.031981,0.071184 +1,1,0,0,0,0,0.502611,0.303678,0.084188,0.673142,0.223203,0.554584,0.464804,0.534271,0.37322,0.401655,0.52794,0.283922,0.440996,0.762142,0.339254,0.366836,0.272143,0.249771,0.057342,0.194011,0.218125,0.32814,0.206567,0.18203,0.185179,0.439908,0.258373,0.26166,0.387962,0.54296,0.779439,0.531307,0.194567,0.188802,0.080721,0.130054,0.228806,0.235489,0.177838,0.261015,0.221999,0.371904,0.157676,0.231974,0.282645,0.258114,0.446607,0.293291,0.27124,0.16528,0.928478,0.426109,0.31973,0.297956,0.191631,0.143269,0.233737,0.671373,0.192329,0.393169,0.57103,0.561551,0.665402,0.682829,0.060667,0.698413,0.095854,0.661654,0.085572,0.168704,0.252867 +0,0,1,1,1,0,0.217179,0.092759,0.050142,0.469897,0.690951,0.247067,0.326204,0.636473,0.315725,0.606394,0.392588,0.140299,0.246492,0.152549,0.219567,0.399235,0.075699,0.075543,0.029606,0.232652,0.199167,0.296605,0.18131,0.206941,0.069295,0.275291,0.178711,0.176068,0.299618,0.44958,0.770534,0.585737,0.104208,0.256829,0.16426,0.204086,0.450753,0.444615,0.375308,0.399231,0.234843,0.284518,0.216712,0.284406,0.563991,0.459108,0.531088,0.550434,0.381668,0.45312,0.94834,1,0.331932,0.535957,0.278158,0.398237,0.212774,0.582073,0.404512,0.353751,0.542693,0.894092,1,1,0.080902,0.079365,0.117264,0.075188,0.653139,0.645356,0.850386 +0,0,1,1,1,0,0.234522,0.089804,0.043433,0.502294,0.725241,0.243714,0.335262,0.567124,0.36085,0.507744,0.276288,0.179831,0.527261,0.550245,0.445553,0.476697,0.043262,0.054562,0,0.095742,0.172078,0.279133,0.179397,0.207662,0.081001,0.269296,0.24577,0.142596,0.319301,0.24457,0.365795,0.306337,0.127593,0.15087,0.013033,0.342066,0.629637,0.426387,0.292085,0.475809,0.249069,0.629804,0.367993,0.288348,0.33642,0.606544,0.626172,0.278974,0.02051,0.334749,0,0,0.285426,0.372624,0.185351,0.263481,0.253583,0.508793,0.405634,0.252856,0.502917,0.455091,0.348556,0.601422,0.019685,0.253968,0.019208,0.240602,0.065184,0.129447,0.106328 +0,0,1,1,0,0,0.337404,0.151987,0.079602,0.632241,0.444043,0.476692,0.461752,0.456696,0.4098,0.283813,0.34831,0.405241,0.435345,0.523608,0.514723,0.241044,0.116484,0.117431,0.042313,0.125912,0.146509,0.187851,0.25026,0.140784,0.186434,0.331435,0.323822,0.225556,0.331195,0.287153,0.433193,0.336185,0.121773,0.136886,0.054186,0.191652,0.184043,0.293522,0.252203,0.203638,0.237847,0.197706,0.183671,0.160753,0.281161,0.194563,0.27534,0.233775,0.271883,0.210482,0.933705,0.475787,0.183876,0.358607,0.192779,0.121843,0.249381,0.384036,0.244036,0.209553,0.306717,0.307966,0.261456,0.267139,0.037758,0.698413,0.008709,0.661654,0.20458,0.188917,0.248369 +0,1,0,0,0,1,0.398394,0.243994,0.084188,0.897762,0.378409,0.343179,0.52251,0.479539,0.100771,0.581488,0.503792,0.249621,0.350511,0.500025,0.318421,0.351745,0.140085,0.125678,0.0538,0.077987,0.07883,0.113652,0.168469,0.1485,0.204312,0.285848,0.311689,0.146005,0.206246,0.186903,0.244394,0.177114,0.055295,0.082982,0.174475,0.071619,0.040398,0.154238,0.207496,0.224858,0.502771,0.154575,0.205682,0.192418,0.120601,0.09362,0.07724,0.092785,0.297718,0.246099,0.923948,0.457622,0.169279,0.191689,0.244653,0.168817,0.258255,0.257018,0.190618,0.109103,0.115733,0.084179,0.08449,0.095787,0.10557,0.428571,0.009684,0.406015,0.288109,0.167037,0.272581 +1,1,1,0,0,0,0.487617,0.295795,0.191996,0.85602,0.24289,0.365196,0.456708,0.336869,0.498738,0.478592,0.546893,0.323698,0.713114,0.509749,0.348683,0.28274,0.337049,0.259958,0.101636,0.222368,0.305261,0.343846,0.324259,0.360091,0.382643,0.461535,0.385595,0.259049,0.439308,0.336596,0.345229,0.290888,0.200911,0.20025,0.161383,0.183315,0.29477,0.292763,0.338679,0.364725,0.419664,0.269706,0.250238,0.220193,0.224975,0.227203,0.155834,0.122856,0.366409,0.319302,0.895331,0.384311,0.488346,0.427352,0.305783,0.292061,0.417795,0.368581,0.254134,0.255725,0.270738,0.14866,0.093961,0.170194,0.023942,0.031746,0.012674,0.43609,0.103205,0.084266,0.110862 +1,0,0,0,0,1,0.599538,0.389687,0.07531,0.863181,0.203262,0.288978,0.301902,0.480435,0.335176,0.411634,0.634001,0.541319,0.876712,0.520463,0.39556,0.540055,0.203176,0.163744,0.0302,0.01236,0,0.100016,0.061497,0.073508,0.099779,0.174527,0.134404,0.163823,0.209828,0.206207,0.262034,0.154689,0.018978,0.046145,0.128977,0.045837,0.019606,0.107527,0.117908,0.095028,0.134114,0.140504,0.087026,0.13903,0.100531,0.106344,0.094411,0.06464,0.191238,0.13126,0.939063,0.389946,0.061161,0.162357,0.095225,0.082215,0.103155,0.190303,0.07562,0.100422,0.098131,0.074663,0.052094,0.079263,0.209074,0.650794,0.158922,0.616541,0.102529,0.575389,0.469707 +1,1,0,0,0,0,0.361247,0.163508,0.116042,0.52446,0.502391,0.173867,0.454048,0.385937,0.505638,0.274855,0.446794,0.226518,0.503831,0.44725,0.326583,0.358846,0.09442,0.05346,0.031235,0.1077,0.073291,0.075258,0.078419,0.152961,0.171064,0.322389,0.350389,0.249907,0.419391,0.354061,0.43947,0.246842,0.099548,0.095894,0.1116,0.558043,0.320578,0.097892,0.140038,0.376411,0.246348,0.240068,0.23587,0.249706,0.44895,0.212839,0.258078,0.135457,0.238483,0.177406,0.930656,0.434766,0.255121,0.093222,0.06127,0.105597,0.090571,0.22744,0.187804,0.209754,0.312911,0.147292,0.176415,0.124945,0.032697,0.380952,0,0.932331,0.199338,0.143147,0.186737 +1,1,0,0,0,1,0.329937,0.198016,0.108598,0.806685,0.296572,0.482434,0.400403,0.495931,0.285339,0.417017,0.646737,0.355898,0.596262,0.645166,0.596845,0.40629,0.175073,0.192076,0.038617,0.085713,0.063697,0.213969,0.228426,0.203776,0.307767,0.293496,0.355159,0.15047,0.308314,0.249881,0.384184,0.199224,0.235264,0.298648,0.105495,0.138465,0.118998,0.207352,0.277518,0.259335,0.401178,0.176644,0.170035,0.083203,0.119803,0.150579,0.160462,0.074609,0.28973,0.19659,0.928609,0.397431,0.157714,0.369559,0.156709,0.249089,0.439595,0.340546,0.288175,0.120855,0.286756,0.063544,0.192543,0.086845,0.023303,0.412698,0.047152,0.390977,0.067087,0.038104,0.105307 +0,1,1,0,0,0,0.440535,0.271534,0.197983,0.657187,0.317357,0.412847,0.382278,0.445297,0.408398,0.584878,0.494936,0.431396,0.661274,0.388688,0.444278,0.434906,0.325066,0.327013,0.13089,0.262552,0.298997,0.333367,0.420004,0.332535,0.317733,0.471552,0.426441,0.173295,0.32721,0.358545,0.339837,0.234453,0.156294,0.188553,0.116356,0.225034,0.18768,0.225838,0.392476,0.477226,0.192505,0.135966,0.145149,0.142047,0.175573,0.143571,0.183936,0.133032,0.410826,0.269507,0.893283,0.33,0.421888,0.27235,0.291815,0.284188,0.241011,0.332043,0.286047,0.082145,0.213296,0.177305,0.162468,0.154424,0.300797,0.428571,0.034732,0.406015,0.447688,0.049585,0.303701 +0,0,1,0,0,0,0.310651,0.231424,0.188415,0.554147,0.34244,0.520923,0.455479,0.357528,0.29188,0.591151,0.524237,0.44009,0.617033,0.527163,0.455497,0.361721,0.298902,0.417331,0.154709,0.277324,0.424137,0.481377,0.529188,0.472465,0.399063,0.574664,0.522613,0.305615,0.440858,0.335303,0.394552,0.286955,0.113875,0.198336,0.197722,0.213885,0.236095,0.244473,0.566602,0.535924,0.356928,0.31743,0.179166,0.141538,0.19904,0.164131,0.221109,0.163322,0.279007,0.420924,0.869109,0.491617,0.499593,0.404796,0.395392,0.516863,0.36384,0.385108,0.273041,0.217228,0.288708,0.131909,0.091007,0.2404,0.094277,0.555556,0.054155,0.526316,0.27234,0.17005,0.347134 +0,0,0,1,1,0,0.132363,0.011468,0.062014,0.261546,0.61247,1,0.816649,0.609951,0.327747,0.602389,0.526334,0.293369,0.861764,0.087629,0.279378,0.230112,0.054465,0.043204,0.057694,0.246989,0.289051,0.155407,0.325796,0.222201,0.260598,0.387435,0.217644,0.151564,0.335883,0.258741,0.369631,0.244304,0.074946,0.110558,0.163262,0.463511,0.536064,0.271656,0.532766,0.410875,0.515451,0.420249,0.188831,0.143956,0.358177,0.193142,0.236664,0.204594,0.411359,0.308291,0.922772,0.698171,0.646022,0.397848,0.706679,0.498429,0.814773,0.710794,0.403666,0.29398,0.438655,0.253084,0.326922,0.391915,0.015065,0.555556,0.008687,0.526316,0.047562,0.015665,0.040531 +1,0,0,0,0,0,0.210905,0.81521,0.628762,0.549383,0.37122,0.430452,0.285717,0.496251,0.179039,0.165439,0.313803,0.427326,0.773987,0.32499,0.360512,1,0.378664,0.885873,0.540504,0.532626,0.447942,0.455836,0.34924,0.548327,0.650864,0.870523,0.884237,0.39704,0.549084,0.430784,0.433079,0.546302,0.052993,0.284599,0.503757,0.169548,0.239011,0.259145,0.152437,0.519661,0.495236,0.411351,0.390775,0.257241,0.450885,0.306664,0.171216,0.172248,0.275518,0.017224,0.871809,0.451134,0.316672,0.296199,0.157208,0.490242,0.53549,0.809573,0.695472,0.231487,0.490394,0.329761,0.148025,0.336615,0.317,0.650794,0.210649,0.616541,0.232905,0.331445,0.439972 +0,1,1,1,0,0,0.232065,0.105924,0.107909,0.686129,0.598701,0.395131,0.455747,0.524869,0.516279,0.511514,0.534852,0.256041,0.541002,0.225073,0.124327,0.426585,0.127557,0.125719,0.119228,0.229264,0.427104,0.384928,0.303078,0.292605,0.306051,0.513363,0.366939,0.216405,0.413579,0.434987,0.425006,0.19306,0.094102,0.214733,0.241928,0.171646,0.256837,0.32829,0.297843,0.408107,0.279517,0.346575,0.149381,0.128254,0.213968,0.322965,0.252362,0.165913,0.459852,0.337002,0.888361,0.468546,0.610712,0.679787,0.56278,0.437635,0.757548,0.584559,0.436846,0.289422,0.320253,0.372919,0.26187,0.19071,0.032877,0.142857,0.038364,0.135338,0.096642,0.214539,0.181392 +1,0,0,0,0,1,0.468649,0.293086,0.093902,0.934095,0.274127,0.290084,0.347842,0.298065,0.391134,0.48751,0.534704,0.476756,0.601223,0.482268,0.339411,0.171011,0.182325,0.166837,0.031345,0.043534,0.050603,0.165529,0.167669,0.169461,0.270359,0.328182,0.269478,0.212791,0.301716,0.291532,0.359551,0.25523,0.076097,0.125189,0.196313,0.023964,0.108747,0.13084,0.208091,0.224955,0.312394,0.126604,0.108856,0.121197,0.187116,0.132623,0.125401,0.113377,0.30139,0.23585,0.926387,0.423041,0.271726,0.253981,0.242349,0.135325,0.410599,0.358325,0.215213,0.183861,0.191947,0.15424,0.118991,0.19363,0.094169,0.412698,0.002201,0.390977,0.192852,0.150963,0.174646 +1,0,0,0,0,0,0.062345,0.128041,0.2296,0.668174,0.38257,0.629334,0.510871,0.60913,0.457346,0.638742,0.739638,0.590916,0.731701,0.511682,0.364486,0.27144,0.065166,0.581183,0.119954,0.248366,0.337809,0.253491,0.15389,0.153639,0.119212,0.213259,0.189197,0.093187,0.136789,0.19462,0.295051,0.185873,0.044094,0.106565,0.056182,0.129295,0.026664,0.061889,0.049788,0.07331,0.062986,0.024733,0.002611,0.011604,0.001605,0.017584,0.025322,0.030419,0.331613,0.199025,0.861965,0.314164,0.003593,0.10569,0.021577,0.024124,0.039731,0.147867,0.015604,0.044653,0.076356,0.049942,0.043377,0.064388,0.223645,0.253968,0.20356,0.240602,0.213986,0.237301,0.227472 +0,1,1,0,0,0,0.36696,0.1914,0.082008,0.675592,0.363009,0.476559,0.505366,0.472673,0.418811,0.335959,0.364798,0.44624,0.561711,0.444287,0.437335,0.187528,0.166781,0.158684,0.033446,0.134023,0.154147,0.216809,0.211197,0.16029,0.256502,0.336437,0.283052,0.246643,0.369495,0.369597,0.449674,0.387515,0.061415,0.106029,0.166608,0.145297,0.162657,0.179851,0.209784,0.162316,0.249129,0.128741,0.144742,0.178116,0.272135,0.202683,0.195072,0.24701,0.296579,0.221764,0.933226,0.447112,0.201551,0.244534,0.162411,0.110724,0.284871,0.355484,0.167831,0.21015,0.333018,0.321886,0.154571,0.331527,0.05153,1,0,0.947368,0.177025,0.194936,0.193966 +0,0,1,0,1,0,0.211812,0.200582,0.211041,0.597911,0.36025,0.522278,0.477118,0.591794,0.200518,0.555184,0.514955,0.386413,0.657953,0.538976,0.416024,0.600806,0.346004,0.544521,0.181048,0.372822,0.247724,0.353934,0.521996,0.31101,0.573271,0.480931,0.442261,0.342668,0.32516,0.307538,0.395976,0.22217,0.122231,0.226042,0.172713,0.194021,0.15848,0.263597,0.282799,0.251084,0.346072,0.156415,0.133447,0.174503,0.158365,0.095609,0.169295,0.089878,0.54338,0.424156,0.869414,0.365155,0.250293,0.394355,0.310119,0.39536,0.51897,0.395577,0.31472,0.334975,0.268537,0.108717,0.202023,0.118203,0.01841,0.650794,0.029177,0.616541,0.088589,0.054075,0.097205 +0,0,0,1,1,1,0.143496,0.024699,0.062127,0.277082,0.637184,0.721801,0.535738,0.666164,0.388354,0.474646,0.484264,0.261421,0.73607,0.504121,0.516738,0.379254,0.036933,0.025491,0.049168,0.22681,0.201009,0.261749,0.073075,0.079199,0.043643,0.126695,0.209856,0.093734,0.150236,0.218761,0.251469,0.186725,0.048595,0.077769,0.117236,0.387037,0.492981,0.458998,0.281193,0.403159,0.293479,0.331687,0.420836,0.269648,0.223632,0.279681,0.403311,0.399069,0.363232,0.276558,0.923295,0.611013,0.399391,0.44549,0.276843,0.261475,0.33153,0.358136,0.262916,0.228654,0.234438,0.296787,0.249072,0.410458,0.014247,0.761905,0.000925,0.721805,0.108916,0.100247,0.15126 +0,0,1,0,0,0,0.231455,0.115174,0.228538,0.488786,0.448262,0.412867,0.335322,0.51888,0.468468,0.567114,0.63236,0.426589,0.763027,0.798591,0.267019,0.666041,0.256817,0.25984,0.208454,0.315262,0.356026,0.331117,0.548366,0.401704,0.379547,0.501704,0.391569,0.23444,0.323099,0.321929,0.464434,0.275295,0.156995,0.177734,0.207937,0.3039,0.322609,0.269525,0.717001,0.587509,0.451572,0.401465,0.364595,0.141107,0.201855,0.34898,0.276528,0.178221,0.593526,0.359841,0.928478,0.577272,0.483058,0.361614,0.512913,0.406689,0.556889,0.655767,0.522552,0.204411,0.381416,0.30411,0.20351,0.233825,0.211012,0.428571,0,1,0.357844,0.030617,0.195305 +1,0,0,0,0,1,0.452101,0.294478,0.096297,0.955411,0.296715,0.285892,0.423394,0.468334,0.372211,0.467531,0.46625,0.417171,0.439936,0.496532,0.415362,0.457174,0.202364,0.174614,0.031103,0.037092,0.081658,0.254455,0.263256,0.368907,0.278098,0.339256,0.30756,0.138242,0.298867,0.239559,0.297885,0.218086,0.085839,0.114407,0.194669,0.014749,0.060875,0.160144,0.231942,0.259857,0.169029,0.080959,0.07768,0.073415,0.074537,0.076168,0.06857,0.066703,0.375608,0.246527,0.922816,0.438161,0.219402,0.245569,0.254642,0.391461,0.344866,0.255158,0.27256,0.091452,0.171802,0.122647,0.067377,0.111583,0.197791,0.444444,0.214662,0.421053,0.244014,0.124143,0.295171 +1,0,0,0,0,0,0.317821,0.199748,0.144644,0.849701,0.34505,0.403753,0.546081,0.535249,0.35445,0.559501,0.605484,0.206611,0.60175,0.572009,0.31211,0.280426,0.223005,0.20239,0.085111,0.130334,0.154248,0.161997,0.210148,0.171255,0.194954,0.324183,0.316566,0.143853,0.246612,0.169788,0.193774,0.155424,0.037833,0.068521,0.057004,0.229251,0.046556,0.593869,0.329098,0.164974,0.289211,0.124864,0.103196,0.106992,0.07748,0.073514,0.034522,0.081029,0.368521,0.342358,0.90487,0.410871,0.40745,0.398642,0.231137,0.301308,0.393371,0.524293,0.31891,0.182052,0.218386,0.117881,0.069361,0.138528,0.015188,0.206349,0.038322,0.195489,0.086738,0.109467,0.112842 +0,1,1,0,0,0,0.230802,0.085503,0.131992,0.393738,0.45037,0.58792,0.408577,0.556889,0.323833,0.461935,0.505275,0.501397,0.669787,0.347584,0.328388,0.449777,0.191428,0.188548,0.074945,0.267564,0.240802,0.235042,0.23497,0.246842,0.304378,0.476318,0.50233,0.307679,0.439451,0.507172,0.722836,0.419237,0.082573,0.138018,0.223729,0.262038,0.257873,0.422382,0.25334,0.328087,0.302302,0.233574,0.180273,0.140159,0.194036,0.249658,0.310304,0.147726,0.344485,0.30849,0.924471,0.61595,0.529129,0.247536,0.28366,0.235245,0.636432,0.710066,0.395189,0.35434,0.44506,0.437977,0.514543,0.391907,0.126341,0.555556,0.180657,0.526316,0.324286,0.075973,0.374606 +0,1,0,0,0,0,0.417664,0.178339,0.072294,0.597516,0.527993,0.110805,0.471545,0.074406,0.386928,0.37846,0.19481,0.545929,0.896465,0.467238,0.404542,0.448014,0.065946,0.063626,0.023148,0.109541,0.040698,0.051953,0.122982,0.186452,0.195424,0.356137,0.316292,0.237353,0.452662,0.346622,0.365626,0.255692,0.017508,0.02173,0.050957,0.096832,0.084014,0.125104,0.296085,0.397003,0.287018,0.361388,0.323591,0.33488,0.471789,0.392275,0.268488,0.136522,0.283928,0.192642,0.947382,0.549584,0.24177,0.090972,0.232149,0.231856,0.386598,0.495544,0.336009,0.329564,0.476451,0.229429,0.110654,0.163924,0.036276,0.603175,0,0.571429,0.131766,0.216267,0.198615 +0,0,1,1,1,0,0.110177,0.013576,0.138227,0.517785,0.801398,0.492188,0.569392,0.524416,0.663576,0.350231,0.49181,0.351576,0.575535,0.725724,0.270431,0.078734,0.030833,0.018804,0.112869,0.180747,0.256199,0.368525,0.317479,0.37126,0.211159,0.531521,0.358573,0.215722,0.317924,0.227202,0.309776,0.244226,0.056165,0.075024,0.163144,0.279163,0.226384,0.313937,0.295225,0.523793,0.186122,0.282722,0.167617,0.083501,0.113328,0.143436,0.131546,0.12657,0.339601,0.237704,0.892674,0.532791,0.399934,0.533685,0.324127,0.588451,0.278239,0.713721,0.326682,0.188491,0.300334,0.124252,0.198281,0.137746,0.020633,0.571429,0.022154,0.541353,0.12157,0.037606,0.117464 +0,0,0,1,1,0,0.188045,0.048398,0.046652,0.437211,0.915953,0.395165,0.325262,0.533407,0.233831,0.331344,0.40226,0.272256,0.521537,0.570911,0.377283,0.364893,0.037045,0.033539,0.050686,0.14268,0.146823,0.149635,0.145109,0.13173,0.159046,0.232194,0.18113,0.150427,0.289463,0.269776,0.288198,0.192396,0.039265,0.051968,0.131208,0.570865,0.35956,0.414813,0.186144,0.3075,0.327106,0.246896,0.334118,0.245565,0.292434,0.340109,0.313801,0.180133,0.36819,0.293818,0.913625,0.707548,0.671382,0.414175,0.364857,0.274165,0.429055,0.483699,0.301584,0.215245,0.271153,0.234775,0.131384,0.218417,0.027711,0.380952,0.041603,0.360902,0.145223,0.081622,0.175747 +0,0,1,1,1,0,0.068452,0.000671,0.07444,0.56404,0.553894,0.762125,0.498343,0.722581,0.422988,0.530485,0.471354,0.285796,0.631787,0.502952,0.272039,0.329704,0.041435,0.043386,0.059433,0.144753,0.204647,0.142942,0.245475,0.296705,0.140652,0.248034,0.279623,0.1976,0.339151,0.241149,0.328976,0.124217,0.04823,0.070051,0.067923,0.272705,0.248899,0.242548,0.528997,0.643882,0.340049,0.268631,0.225952,0.138287,0.354487,0.175926,0.175625,0.120065,0.391822,0.328044,0.908703,0.56072,0.477156,0.368207,0.628978,0.631966,0.396642,0.353901,0.314127,0.279035,0.473129,0.247819,0.200146,0.106112,0.008701,0.698413,0,0.661654,0.049998,0.088851,0.135118 +0,0,0,0,0,1,0.295884,0.212441,0.094185,1,0.23278,0.513209,0.366737,0.400134,0.234681,0.373163,0.548975,0.253327,0.444405,0.544239,0.298816,0.474274,0.147516,0.270096,0.03536,0.037162,0.069119,0.168786,0.156538,0.195027,0.179383,0.269847,0.288458,0.16575,0.243056,0.245902,0.372815,0.189205,0.086223,0.121016,0.084654,0.029549,0.119897,0.117543,0.102514,0.135499,0.180481,0.109312,0.076304,0.066293,0.051196,0.093847,0.137354,0.076987,0.296671,0.245747,0.928347,0.464945,0.27077,0.179538,0.198039,0.238725,0.188299,0.241274,0.222113,0.127899,0.144139,0.130827,0.131074,0.102041,0.003326,0.619048,0.009225,0.586466,0.02455,0.021087,0.024176 +1,0,0,0,0,1,0.032444,0.71992,0.268085,0.707863,0.3803,0.590334,0.389951,0.618743,0.427468,0.53378,0.486529,0.360093,0.418698,0.38169,0.360662,0.589627,0.039187,1,0.22851,0.176713,0.28226,0.243619,0.155427,0.130467,0.096174,0.174723,0.148221,0.067919,0.099122,0.101265,0.074502,0.083442,0.106454,0.428047,0.064048,0.151317,0.127889,0.081635,0.055366,0.072831,0.071953,0.039289,0.044533,0.018422,0.056885,0.08972,0.073694,0.033486,0.343824,0.233163,0.828339,0.334594,0.319878,0.152289,0.10567,0.126039,0.119645,0.179462,0.09579,0.043314,0.041291,0.061382,0.063066,0.041661,0.135355,0.285714,0.205249,0.270677,0.150561,0.24391,0.264358 +0,1,1,0,0,0,0.176566,0.077269,0.105402,0.645336,0.422474,0.453541,0.656204,0.382659,1,0.122022,0.706257,0.208267,0.771264,0.284567,0.433336,0.142561,0.112905,0.132857,0.05435,0.177311,0.147418,0.169264,0.148949,0.136139,0.206626,0.363812,0.232945,0.224028,0.391808,0.530875,0.576453,0.357641,0.072401,0.211757,0.208172,0.170274,0.137961,0.13079,0.182514,0.181229,0.29318,0.219445,0.084992,0.157487,0.231661,0.372465,0.328021,0.173138,0.34151,0.343672,0.920028,0.443813,0.173511,0.196073,0.213222,0.097257,0.456309,0.29723,0.167548,0.281293,0.315002,0.598991,0.368803,0.352774,0.049218,0.349206,0.003551,0.330827,0.203992,0.160881,0.183388 +0,0,0,1,1,0,0.155423,0.032249,0.125621,0.4143,0.490792,0.705803,0.624077,0.832719,0.486401,0.408448,0.627982,0.386399,0.882029,0.423988,0.269842,0.609212,0.10273,0.103592,0.095794,0.256484,0.290395,0.295028,0.319804,0.331201,0.413295,0.607083,0.302479,0.296041,0.467553,0.486635,0.415484,0.28395,0.031564,0.064348,0.164905,0.229011,0.332293,0.266688,0.269603,0.341418,0.416136,0.410578,0.199345,0.224728,0.285605,0.240406,0.260483,0.157151,0.385505,0.276951,0.89973,0.492558,0.381912,0.392579,0.417005,0.398245,0.630064,0.742738,0.25983,0.275897,0.543475,0.386443,0.226602,0.195921,0.053993,0.555556,0.030552,0.526316,0.323947,0.02623,0.216741 +0,1,1,0,0,0,0.403135,0.234137,0.153816,0.625935,0.305087,0.448825,0.423582,0.393,0.344137,0.360523,0.537153,0.343359,0.588618,0.612997,0.254996,0.488724,0.214446,0.213997,0.098665,0.169084,0.202899,0.22993,0.151312,0.18917,0.089467,0.186083,0.351977,0.257493,0.436291,0.536545,0.587338,0.424809,0.148723,0.175821,0.17289,0.117026,0.257864,0.206255,0.154191,0.226153,0.170622,0.122226,0.355717,0.250216,0.338147,0.309211,0.335686,0.20891,0.28211,0.318534,0.879084,0.599587,0.260738,0.274792,0.183293,0.2027,0.200439,0.21078,0.348671,0.210037,0.433078,0.338404,0.315768,0.348706,0.082527,0.365079,0,0.345865,0.29733,0.326965,0.319392 +0,0,1,1,1,0,0.14091,0.040455,0.126197,0.616462,0.654731,0.389708,0.631842,0.53434,0.703964,0.529315,0.376233,0.310313,0.339774,0.594047,0.234945,0.423521,0.071996,0.072786,0.136611,0.263071,0.343936,0.297488,0.335903,0.350294,0.122983,0.289999,0.194321,0.101917,0.331081,0.319346,0.340173,0.189096,0.06382,0.102193,0.195491,0.281035,0.41068,0.118964,0.441982,0.541547,0.222699,0.177257,0.113911,0.106624,0.235746,0.237157,0.180694,0.127093,0.355833,0.266051,0.879998,0.460661,0.421917,0.471538,0.532773,0.62237,0.339365,0.414852,0.199609,0.127025,0.311852,0.318759,0.200691,0.161458,0.097867,0.730159,0,0.691729,0.053468,0.289251,0.188197 +1,0,0,0,0,1,0.815378,0.650818,0.294268,0.649467,0.093597,0.67048,0.34128,0.525507,0.235014,0.744214,0.494374,0.466506,0.687798,0.406644,0.513344,0.368402,0.699383,0.551038,0.170343,0.418549,0.348245,0.589276,0.691474,0.649715,0.864897,0.918123,0.824028,0.396932,0.613747,0.467609,0.556647,0.349607,0.404976,0.278582,0.092697,0.209895,0.220347,0.271385,0.324136,0.373621,0.354196,0.245131,0.085444,0.106142,0.158561,0.080016,0.107368,0.080222,0.502855,0.197858,0.86863,0.371798,0.410181,0.4476,0.380964,0.569491,0.573766,0.564377,0.463141,0.220292,0.29969,0.206997,0.109559,0.127601,0.2906,0.222222,0.145503,0.210526,0.419029,0.32061,0.424555 +0,0,0,0,1,0,0.571165,0.45242,0.091903,0.806668,0.190341,0.483529,0.480664,0.516759,0.201963,0.631103,0.670125,0.421271,0.91776,0.465586,0.296293,0.597587,0.26387,0.301591,0.049597,0.090421,0.079738,0.248557,0.299178,0.244341,0.330986,0.374204,0.343334,0.223307,0.427574,0.392984,0.489888,0.31192,0.320747,0.560658,0.204591,0.08739,0.114887,0.125008,0.249582,0.241798,0.302808,0.169114,0.176243,0.117024,0.179663,0.274908,0.269102,0.153605,0.303924,0.172807,0.930743,0.498561,0.225872,0.541253,0.374261,0.344461,0.553938,0.316262,0.229908,0.184144,0.351981,0.252195,0.154722,0.220343,0.211801,0.365079,0.342783,0.345865,0.272056,0.00256,0.327133 +0,1,1,0,0,0,0.409344,0.15691,0.119985,0.419453,0.554387,0.151646,0.38718,0.43688,0.588691,0.405281,0.402055,0.379011,0.817881,0.480398,0.325937,0.322755,0.094506,0.04746,0.036108,0.088375,0.085319,0.081703,0.09942,0.179126,0.195386,0.412908,0.40699,0.266579,0.529144,0.469651,0.414535,0.28269,0.091856,0.115387,0.080603,0.250678,0.31771,0.218457,0.177534,0.331283,0.256808,0.364567,0.376144,0.24336,0.480038,0.359985,0.221262,0.10547,0.313839,0.239387,0.93523,0.576441,0.330675,0.25113,0.138794,0.149707,0.142066,0.383907,0.331711,0.237734,0.478837,0.302897,0.138418,0.154181,0.054639,0.428571,0.111569,0.406015,0.23957,0.057158,0.365256 +0,0,0,0,1,0,0.286327,0.155055,0.126118,0.759343,0.461235,0.424684,0.326503,0.466178,0.421036,0.445494,0.375122,0.334371,0.774823,0.526363,0.365928,0.565811,0.219883,0.237476,0.075561,0.133402,0.212794,0.263272,0.177353,0.220551,0.15214,0.287735,0.374766,0.14636,0.257527,0.235285,0.225049,0.198761,0.146168,0.18126,0.11342,0.18028,0.331401,0.372466,0.514027,0.342716,0.265908,0.344901,0.30183,0.205454,0.206763,0.283887,0.141656,0.10628,0.523622,0.393486,0.914714,0.538653,0.406361,0.422584,0.363643,0.367664,0.296808,0.237803,0.250697,0.104008,0.140292,0.119536,0.060373,0.107852,0.592964,0.428571,0.680445,0.406015,0.996345,0.018223,0.897424 +0,0,1,0,1,0,0.087792,0.004262,0.106046,0.544204,0.670018,0.285297,0.361903,0.651932,0.540003,0.474024,0.636939,0.50267,0.862957,0.523975,0.377463,0.342476,0.042822,0.027364,0.101977,0.134113,0.352224,0.125334,0.08638,0.197891,0.117437,0.174787,0.206319,0.146422,0.169903,0.197086,0.222264,0.116212,0.043944,0.070356,0.172948,0.131189,0.207067,0.127435,0.296451,0.613326,0.43051,0.326151,0.187658,0.166626,0.395932,0.322614,0.3643,0.239336,0.362186,0.246369,0.877603,0.503923,0.283276,0.123594,0.12023,0.278395,0.278736,0.195616,0.186152,0.163963,0.186696,0.122297,0.102997,0.109368,0.013011,0.507937,0,0.481203,0.071679,0.057403,0.057093 +1,0,0,0,0,1,0.495516,0.320244,0.113896,0.937726,0.271726,0.287357,0.50002,0.4434,0.43072,0.532043,0.415519,0.423472,0.593651,0.49125,0.315836,0.397883,0.189923,0.145435,0.043095,0.05688,0.096781,0.218466,0.221612,0.321941,0.177716,0.372546,0.300669,0.150194,0.289311,0.204649,0.27036,0.179851,0.081244,0.093888,0.086885,0.13315,0.137581,0.491862,0.34672,0.368963,0.186779,0.123519,0.094974,0.055036,0.077059,0.120344,0.081023,0.054922,0.286701,0.265629,0.932485,0.479194,0.337567,0.345313,0.242559,0.265886,0.244092,0.408297,0.245083,0.10489,0.208563,0.06775,0.079281,0.086709,0.045553,0.460317,0.073373,0.43609,0.137039,0.073958,0.251029 +0,0,1,1,1,0,0.164331,0.042755,0.143514,0.506277,0.724251,0.533117,0.465837,0.625713,0.357814,0.65212,0.529511,0.146139,0.668793,0.264006,0.293811,0.395913,0.116069,0.089464,0.142222,0.254986,0.384134,0.401526,0.340685,0.313965,0.247939,0.424946,0.298614,0.246598,0.376497,0.351227,0.413559,0.373636,0.092885,0.129048,0.152518,0.44448,0.373009,0.261564,0.270915,0.387819,0.291745,0.238918,0.142827,0.161865,0.366404,0.285792,0.246456,0.218709,0.517747,0.351827,0.893632,0.479443,0.497829,0.509874,0.531593,0.434648,0.43444,0.50674,0.323472,0.305633,0.356979,0.208384,0.247707,0.376544,0.033781,0.31746,0.007559,0.300752,0.189454,0.245454,0.230475 +0,0,0,0,1,1,0.499609,0.299837,0.111163,0.86923,0.285651,0.348265,0.433333,0.469226,0.212741,0.437136,0.540619,0.347939,0.602292,0.398852,0.108326,0.341507,0.295564,0.240366,0.054537,0.068478,0.151257,0.210437,0.233857,0.215529,0.245603,0.473051,0.389573,0.242403,0.374346,0.357151,0.426422,0.226793,0.236696,0.243695,0.158565,0.05023,0.287605,0.261821,0.379781,0.264844,0.25271,0.350402,0.215032,0.143796,0.185822,0.24059,0.233792,0.159817,0.400305,0.294891,0.923861,0.446898,0.373599,0.183748,0.207132,0.148396,0.199973,0.340408,0.2109,0.149038,0.281198,0.242653,0.139729,0.077956,0.023721,1,0,0.947368,0.010915,0.022801,0.066168 +0,0,1,1,1,0,0.248787,0.093115,0.164151,0.369104,0.658952,0.390608,0.547819,0.393444,0.573073,0.423636,0.700401,0.475205,0.663539,0.457491,0.33202,0.471739,0.187911,0.123908,0.14088,0.135981,0.248487,0.329756,0.358638,0.363191,0.363266,0.456174,0.286713,0.226966,0.393768,0.448963,0.42305,0.210092,0.216932,0.191316,0.150346,0.461135,0.38991,0.434245,0.595165,0.760991,0.623182,0.435987,0.282465,0.208408,0.428587,0.309289,0.462413,0.134862,0.785296,0.413456,0.890757,0.523984,0.811408,1,0.666542,0.757072,0.640138,0.841627,0.389762,0.369505,0.690096,0.770183,0.456236,0.269104,0.012386,0.650794,0.01329,0.616541,0.079841,0.051867,0.090402 +0,1,1,1,0,0,0.15288,0.561255,0.270954,0.537063,0.395677,0.60038,0.465436,0.646351,0.457239,0.686312,0.630139,0.358475,0.517202,0.383996,0.381702,0.379941,0.302537,0.847846,0.298296,0.457963,0.415187,0.645964,0.726734,0.464526,0.38872,0.935115,0.591764,0.281185,0.349414,0.360788,0.605662,0.244662,0.086578,0.75051,0.086063,0.143197,0.135839,0.128981,0.255852,0.269751,0.178633,0.286502,0.136588,0.083262,0.1107,0.132767,0.209838,0.069869,0.521951,0.344089,0.809565,0.437933,0.216215,0.227826,0.321762,0.520025,0.326236,0.935168,0.276127,0.221311,0.176777,0.220407,0.273168,0.190167,0.018945,0.031746,0.043433,0.43609,0.109511,0.028385,0.092395 +0,0,1,1,1,0,0.130089,0.038381,0.078495,0.576291,0.60065,0.62961,0.368522,0.636725,0.332257,0.535581,0.440957,0.370477,0.656221,0.445002,0.238335,0.400568,0.071395,0.090166,0.057991,0.168228,0.177471,0.18072,0.253674,0.286361,0.262549,0.281094,0.297097,0.165673,0.374376,0.263938,0.355474,0.197464,0.082657,0.177143,0.134202,0.215097,0.25061,0.228521,0.315636,0.479688,0.278081,0.323901,0.241935,0.145452,0.308651,0.187081,0.172252,0.140743,0.391969,0.39592,0.91785,0.528312,0.484154,0.289198,0.426286,0.360392,0.304043,0.379823,0.223023,0.182126,0.345311,0.27463,0.175581,0.23157,0.014274,0.142857,0.009186,0.135338,0.071743,0.057524,0.061663 +1,1,0,0,0,0,0.310127,0.149522,0.094772,0.592235,0.536586,0.242777,0.351911,0.48394,0.328177,0.357687,0.517838,0.329712,0.43565,0.439739,0.297556,0.237208,0.090636,0.054512,0.037341,0.171579,0.088181,0.087566,0.08851,0.159884,0.135365,0.233201,0.351908,0.164754,0.348456,0.387768,0.309827,0.215095,0.05071,0.069815,0.103264,0.366374,0.160795,0.13868,0.090529,0.213115,0.18758,0.127148,0.421041,0.195434,0.272175,0.220523,0.107819,0.07143,0.304989,0.224979,0.928435,0.542923,0.29589,0.1161,0.108147,0.122782,0.155618,0.318416,0.541101,0.209559,0.305666,0.201017,0.106267,0.121801,0.309606,0.460317,0.133264,0.43609,0.4985,0.015334,0.408407 +1,0,0,0,1,1,0.392833,0.254034,0.068012,0.916195,0.386628,0.269831,0.547368,0.383192,0.349755,0.373685,0.502427,0.285826,0.402007,0.363039,0.329747,0.346936,0.095491,0.077804,0.040047,0,0.045649,0.064054,0.037212,0.086783,0.066181,0.111844,0.089074,0.063256,0.152163,0.11516,0.137215,0.105834,0.03512,0.032761,0.089351,0,0.073386,0.126858,0.128787,0.166548,0.137965,0.107459,0.039433,0.046376,0.062301,0.037079,0.06801,0.045524,0.274306,0.188148,0.93205,0.443737,0.224621,0.153243,0.115723,0.089191,0.078145,0.118759,0.049548,0.041726,0.07529,0.031545,0.024989,0.034069,0.047694,0.222222,0.105851,0.210526,0.354272,0.281296,0.372701 +1,0,0,0,0,1,0.505267,0.339776,0.103741,0.797589,0.253499,0.410496,0.433062,0.397825,0.547944,0.510192,0.582503,0.358145,0.754753,0.473062,0.442762,0.244907,0.227451,0.178796,0.028649,0.060658,0.043122,0.128225,0.137593,0.214764,0.178416,0.266303,0.229833,0.152709,0.313649,0.246425,0.295929,0.180001,0.051982,0.065129,0.067923,0.107697,0.065614,0.082197,0.280361,0.242387,0.220093,0.08445,0.07506,0.053559,0.101419,0.117232,0.184816,0.065373,0.231468,0.142688,0.94368,0.362348,0.120359,0.148321,0.177521,0.178009,0.305696,0.221258,0.183871,0.116302,0.152758,0.079769,0.081579,0.085801,0.252724,0.142857,0.493969,0.135338,0.518167,0.518369,0.538398 +0,0,1,1,1,0,0.318599,0.143949,0.056954,0.519831,0.368352,0.585888,0.442264,0.645173,0.29244,0.570626,0.505119,0.148037,0.462721,0.252063,0.336998,0.349513,0.130573,0.128387,0.045284,0.248366,0.183229,0.448353,0.207549,0.154236,0.178972,0.285925,0.338468,0.296536,0.396276,0.297307,0.383119,0.336321,0.135061,0.203059,0.104262,0.289538,0.351318,0.397094,0.181048,0.298458,0.306103,0.242403,0.165073,0.165072,0.244321,0.18559,0.310686,0.233987,0.292246,0.219593,0.936057,0.463682,0.196204,0.537209,0.2029,0.202401,0.361402,0.530071,0.333902,0.263399,0.39843,0.292415,0.195846,0.399669,0.061941,0.31746,0.213172,0.300752,0.219992,0.142141,0.349582 +0,0,1,0,0,0,0.316574,0.273137,0.124797,0.640525,0.31076,0.44322,0.379494,0.576854,0.437403,0.269037,0.491745,0.319558,0.720548,0.529294,0.363667,0.542464,0.27628,0.48301,0.082988,0.205697,0.151529,0.350855,0.37847,0.381253,0.348105,0.62623,0.496064,0.307465,0.435718,0.336832,0.405043,0.240981,0.10476,0.157553,0.103147,0.110163,0.196203,0.255727,0.282697,0.403709,0.281923,0.286727,0.271633,0.135664,0.201616,0.169266,0.196453,0.097456,0.321423,0.396806,0.906046,0.532661,0.167608,0.33382,0.301636,0.324802,0.350841,0.579706,0.265638,0.201691,0.284021,0.137296,0.147002,0.12424,0.052809,0.190476,0.022715,0.180451,0.141346,0.072158,0.138785 +0,0,0,1,1,0,0.13307,0.030432,0.0666,0.523645,0.487566,0.482967,0.519872,0.686425,0.606043,0.404647,0.79325,0.46443,0.928064,0.323421,0.414433,0.49258,0.148259,0.124067,0.032126,0.243276,0.16959,0.221298,0.298876,0.355103,0.334866,0.567973,0.389624,0.291832,0.405645,0.376507,0.411444,0.213668,0.194726,0.215274,0.134789,0.308984,0.205425,0.276697,0.410992,0.51433,0.521491,0.435552,0.266181,0.218408,0.241882,0.351537,0.230075,0.125771,0.758506,0.452697,0.933226,0.511778,0.588625,0.551655,0.504174,0.537892,0.615857,0.746006,0.447451,0.388695,0.400045,0.330155,0.121396,0.225807,0.095483,0.666667,0,0.631579,0.040306,0.228913,0.138656 +1,1,0,0,0,0,0.329743,0.201735,0.129484,0.859047,0.332437,0.444473,0.320043,0.486689,0.288622,0.613165,0.710011,0.454261,0.462514,0.61022,0.325637,0.392871,0.201782,0.235573,0.052699,0.072457,0.098909,0.211431,0.202184,0.20213,0.324677,0.382594,0.319384,0.176791,0.265608,0.326318,0.317929,0.274699,0.109065,0.210588,0.084654,0.034736,0.130209,0.091889,0.230679,0.217922,0.383101,0.132857,0.092326,0.088281,0.10305,0.156952,0.107961,0.089365,0.35508,0.314216,0.911055,0.463382,0.256002,0.237119,0.231479,0.182124,0.305683,0.371716,0.156126,0.090185,0.166704,0.195302,0.129844,0.143042,0.047864,0.365079,0.097743,0.345865,0.185367,0.128107,0.21844 +0,1,1,0,0,0,0.181485,0.116383,0.205042,0.700598,0.369435,0.334891,0.578157,0.505451,0.511138,0.544599,0.618482,0.311634,0.525734,0.49035,0.390327,0.429022,0.205151,0.25174,0.183292,0.289578,0.359512,0.424623,0.301355,0.28512,0.476847,0.47201,0.340567,0.313987,0.399652,0.410476,0.488845,0.350158,0.047266,0.096786,0.047904,0.139815,0.234834,0.182679,0.227459,0.213612,0.429608,0.169667,0.091127,0.160353,0.267041,0.19011,0.200419,0.130044,0.26507,0.286889,0.842713,0.350405,0.170896,0.34239,0.152831,0.192815,0.585838,0.362205,0.270864,0.232496,0.330616,0.225542,0.427732,0.476563,0.00938,0.793651,0,0.75188,0.029119,0.028147,0.033347 +1,1,0,0,0,1,0.409689,0.230473,0.246521,0.562449,0.360912,0.37128,0.668992,0.409052,0.414212,0.587309,0.584978,0.339813,0.631675,0.517074,0.460663,0.48095,0.412389,0.309683,0.143025,0.19191,0.457958,0.365639,0.773115,0.632464,0.753864,0.904018,0.672645,0.386637,0.706644,0.651739,0.805491,0.437685,0.183225,0.2094,0.373312,0.355269,0.364235,0.431192,0.724726,0.585376,0.478068,0.354564,0.251268,0.141853,0.264714,0.283818,0.291244,0.154379,0.622996,0.410968,0.881523,0.642096,0.904158,0.510304,1,1,1,0.913397,0.666105,0.30483,0.70232,0.519319,0.365587,0.279301,0.018281,0.047619,0.018545,0.045113,0.142738,0.143393,0.160591 +0,0,1,1,1,0,0.144597,0.049011,0.193995,0.542944,0.591764,0.599228,0.52919,0.72078,0.332062,0.561632,0.842397,0.363427,0.464336,0.598488,0.335976,0.178059,0.133211,0.149782,0.143894,0.182586,0.438773,0.352607,0.280026,0.249407,0.334679,0.573224,0.422547,0.259696,0.409547,0.38541,0.452856,0.2484,0.089601,0.162225,0.147763,0.18513,0.403412,0.266445,0.202484,0.333118,0.242181,0.187994,0.17667,0.160593,0.191339,0.125257,0.170377,0.119142,0.402802,0.336204,0.885966,0.462373,0.247764,0.225991,0.212113,0.200177,0.261642,0.487105,0.286833,0.163913,0.192092,0.164516,0.161507,0.209739,0.044703,0.793651,0,0.75188,0.077026,0.102478,0.164995 +1,0,0,0,0,1,0.516686,0.328051,0.063607,0.897952,0.161482,0.289939,0.475401,0.371982,0.363421,0.735787,0.755096,0.404628,0.480516,0.522603,0.360721,0.346934,0.1776,0.125458,0.036416,0.036639,0.03771,0.10335,0.073835,0.097968,0.111009,0.252443,0.232582,0.129765,0.231562,0.239514,0.264446,0.164401,0.260258,0.107655,0.1443,0.031401,0.163504,0.201386,0.205169,0.171993,0.139318,0.119904,0.099474,0.060181,0.149103,0.191581,0.147597,0.103957,0.268816,0.171722,0.931484,0.476819,0.300914,0.12544,0.176908,0.117569,0.184239,0.28864,0.200702,0.168141,0.184766,0.204683,0.090772,0.133213,0.040654,0.492063,0.085588,0.466165,0.198542,0.106528,0.241388 +1,0,0,0,1,0,0.408502,0.255534,0.173177,0.882902,0.37401,0.272715,0.66474,0.240516,0.553043,0.317357,0.688171,0.24638,0.709807,0.490807,0.335248,0.198084,0.206315,0.188456,0.074329,0.068134,0.152945,0.191162,0.256296,0.216868,0.275376,0.388908,0.275773,0.254185,0.2619,0.341383,0.343811,0.267876,0.146421,0.186372,0.123694,0.070899,0.174079,0.18576,0.278605,0.372374,0.267909,0.237698,0.09841,0.100752,0.154243,0.119643,0.123872,0.126091,0.413599,0.278435,0.912275,0.340974,0.14092,0.282539,0.222132,0.140277,0.271207,0.404568,0.124538,0.161845,0.115556,0.183493,0.148059,0.145824,0.229646,0.190476,0.317849,0.180451,0.309207,0.322999,0.335856 +0,0,1,1,1,0,0.120873,0.029119,0.097675,0.649449,0.481833,0.641275,0.485131,0.628745,0.389593,0.579396,0.537529,0.436114,0.553908,0.294423,0.406549,0.230001,0.093937,0.095556,0.061831,0.097744,0.208047,0.152542,0.278422,0.297869,0.252554,0.283854,0.27197,0.189152,0.331741,0.279299,0.250432,0.231755,0.056409,0.109823,0.108548,0.142295,0.181521,0.131681,0.348841,0.298451,0.290489,0.154893,0.092999,0.099877,0.165195,0.128135,0.083128,0.094269,0.393309,0.343971,0.910445,0.444071,0.285683,0.126301,0.485809,0.561571,0.401927,0.301912,0.239976,0.189521,0.304262,0.153077,0.061423,0.117443,0.074749,0.142857,0.361813,0.135338,0.173459,0.354806,0.310694 +0,0,1,1,1,0,0.25647,0.081065,0.093722,0.539091,0.686834,0.30152,0.356394,0.338236,0.400682,0.204653,0.431636,0.043666,0.524077,0.544179,0.389987,0.507604,0.072046,0.046582,0.051863,0.19678,0.264197,0.172875,0.151068,0.254755,0.379496,0.500937,0.414418,0.379428,0.682003,0.714414,0.972783,0.536604,0.058131,0.069048,0.16925,0.258341,0.412783,0.223196,0.238823,0.330055,0.446352,0.309991,0.285457,0.368608,0.457625,0.47545,0.670125,0.385391,0.332366,0.23907,0.916587,0.505895,0.46508,0.229347,0.128576,0.21849,0.464208,0.40385,0.375343,0.423272,0.805173,0.730515,0.5994,0.671108,0.033013,0.31746,0.007622,0.300752,0.167735,0.10863,0.172881 +0,0,1,1,1,0,0.223712,0.089983,0.068351,0.459437,0.475925,0.474477,0.449516,0.643102,0.483835,0.568355,0.521198,0.358477,0.477362,0.461675,0.474713,0.392341,0.099659,0.099954,0.05413,0.23347,0.174847,0.429608,0.16204,0.13837,0.097314,0.146461,0.237054,0.108311,0.291528,0.247543,0.27155,0.233397,0.044356,0.085306,0.14154,0.196333,0.218618,0.324422,0.326717,0.261401,0.141082,0.10434,0.114733,0.064061,0.142556,0.114522,0.168868,0.109467,0.31248,0.229121,0.911316,0.548199,0.423587,0.491441,0.21953,0.195278,0.281825,0.287494,0.259886,0.139998,0.268019,0.188597,0.150519,0.313735,0.024094,0.349206,0.066297,0.330827,0.145665,0.137039,0.246646 +0,0,0,0,0,1,0.337496,0.175587,0.09946,0.919006,0.387135,0.510412,0.498644,0.458052,0.248732,0.298511,0.364056,0.320318,0.687575,0.517743,0.325406,0.450104,0.116057,0.138958,0.052017,0.070256,0.083062,0.170349,0.196127,0.185509,0.20579,0.322772,0.212888,0.080105,0.209506,0.310046,0.270138,0.195493,0.050906,0.103089,0.116356,0.094073,0.163621,0.158314,0.371481,0.36905,0.262647,0.202574,0.143158,0.067767,0.130211,0.140202,0.239682,0.081773,0.281816,0.178421,0.933836,0.44194,0.275108,0.41333,0.391134,0.295467,0.575358,0.398601,0.169881,0.067971,0.213641,0.213872,0.107324,0.110944,0.095431,0.365079,0.145839,0.345865,0.230874,0.253384,0.410665 +1,1,0,0,0,0,0.386208,0.411543,0.17695,0.703095,0.248662,0.366488,0.457457,0.534735,0.290636,0.569571,0.505225,0.406434,0.437462,0.449974,0.296292,0.507563,0.401713,0.667718,0.146524,0.210326,0.187739,0.368335,0.226865,0.274647,0.294979,0.390867,0.30321,0.181886,0.292539,0.277417,0.319903,0.199335,0.197365,0.274049,0.11841,0.215508,0.112499,0.186005,0.139326,0.181426,0.198568,0.209257,0.125766,0.096467,0.152928,0.13467,0.152543,0.11334,0.512514,0.224386,0.883962,0.310434,0.208707,0.48107,0.146576,0.251895,0.34616,0.378935,0.207165,0.123845,0.132115,0.140439,0.123255,0.105788,0.640068,0.190476,0.726188,0.180451,0.5956,0.741572,0.69818 +0,1,1,0,0,0,0.533451,0.338617,0.084527,0.714889,0.219802,0.504995,0.407192,0.539864,0.362789,0.41747,0.595965,0.339051,0.353553,0.572361,0.169731,0.28444,0.23417,0.233392,0.054141,0.162937,0.168467,0.285862,0.130227,0.154409,0.195506,0.416455,0.270894,0.234857,0.411218,0.532853,0.771455,0.501503,0.18418,0.245151,0.134613,0.132335,0.199673,0.272224,0.204528,0.282145,0.254117,0.376706,0.205398,0.175775,0.463309,0.49695,0.501977,0.298653,0.282349,0.252094,0.931004,0.427753,0.194633,0.325296,0.151753,0.149232,0.359789,0.581856,0.224656,0.420786,0.687668,0.620032,0.629325,0.697133,0.039179,0.253968,0.019462,0.240602,0.11462,0.190994,0.192042 +0,0,1,1,1,0,0.203881,0.077081,0.063279,0.75311,0.62799,0.367965,0.377798,0.491824,0.383748,0.303945,0.521986,0.384901,0.512994,0.403343,0.235848,0.588616,0.071389,0.076842,0.05853,0.06717,0.194762,0.253878,0.24294,0.213529,0.326082,0.491296,0.356404,0.209869,0.33465,0.324506,0.432329,0.25369,0.086644,0.127712,0.127451,0.139076,0.252484,0.268325,0.314363,0.359044,0.442407,0.311901,0.237,0.141546,0.161989,0.250378,0.255707,0.167134,0.324269,0.239686,0.915672,0.420612,0.474483,0.536427,0.42047,0.312409,0.484995,0.643857,0.435951,0.160781,0.254303,0.29297,0.180663,0.26011,0.041243,0.428571,0,0.406015,0.194436,0.189832,0.212759 +0,0,0,0,1,1,0.372348,0.203077,0.127203,0.876787,0.385701,0.30678,0.498096,0.43744,0.366915,0.151382,0.552957,0.402696,0.752293,0.554983,0.323753,0.494947,0.145336,0.139396,0.061094,0.097913,0.10171,0.213699,0.23021,0.246766,0.234963,0.434218,0.272234,0.227599,0.284456,0.229012,0.288618,0.23588,0.041193,0.061825,0.11841,0.0891,0.199214,0.137364,0.169117,0.206683,0.272685,0.21795,0.140131,0.065075,0.18512,0.108063,0.133282,0.083601,0.252566,0.203953,0.913364,0.364517,0.277422,0.315295,0.216459,0.232824,0.370152,0.376748,0.163745,0.190041,0.179638,0.129617,0.07173,0.138868,0.140028,0.333333,0.410152,0.315789,0.337429,0.257142,0.523776 +0,0,1,0,0,0,0.209593,0.080507,0.049227,0.388451,0.672954,0.289984,0.536817,0.383074,0.451023,0.354188,0.504651,0.262147,0.443868,0.439095,0.30966,0.430336,0.048061,0.03611,0.033567,0.089153,0.054394,0.047319,0.0246,0.125162,0.168624,0.290709,0.240022,0.205582,0.301029,0.329622,0.299967,0.181832,0.092015,0.122328,0.124574,0.588859,0.405806,0.157868,0.237989,0.30791,0.254246,0.216255,0.234131,0.202864,0.209112,0.2118,0.18561,0.10301,0.298691,0.198808,0.936449,0.454501,0.270828,0.104694,0.07409,0.104356,0.146782,0.365216,0.217633,0.266907,0.194843,0.222806,0.097348,0.038749,0.025809,0.428571,0.015532,0.406015,0.147636,0.186571,0.187395 +0,1,1,0,0,0,0.283865,0.120736,0.101448,0.492656,0.443173,0.446386,0.529765,0.505457,0.51829,0.447331,0.427371,0.45339,0.218095,0.378715,0.301028,0.270743,0.140177,0.124434,0.058321,0.250977,0.211838,0.372569,0.140097,0.204764,0.246613,0.271713,0.261919,0.20195,0.498833,0.468445,0.614597,0.51983,0.06149,0.085607,0.180345,0.095479,0.239005,0.292639,0.196876,0.220392,0.216963,0.208475,0.161812,0.166122,0.309298,0.231075,0.30221,0.335419,0.311746,0.210682,0.903258,0.638156,0.433182,0.326764,0.164159,0.241187,0.281665,0.392847,0.266174,0.265478,0.539106,0.315764,0.39729,0.565866,0.040568,0.603175,0.048088,0.571429,0.262468,0.252049,0.386029 +1,1,0,0,0,0,0.324495,0.171271,0.154606,0.532165,0.492115,0.427016,0.58036,0.456599,0.386668,0.442034,0.581893,0.393359,0.342191,0.305505,0.187881,0.158635,0.103009,0.094057,0.040465,0.073459,0.073457,0.101693,0.124632,0.191061,0.180939,0.409585,0.411521,0.297464,0.481097,0.527035,0.536281,0.376044,0.183225,0.288689,0.104321,0.29371,0.455044,0.261397,0.264327,0.297631,0.328368,0.381554,0.301466,0.263898,0.35926,0.261298,0.329762,0.276259,0.295826,0.195376,0.912057,0.575021,0.254797,0.208867,0.195845,0.118623,0.158935,0.324134,0.333955,0.360858,0.571425,0.475763,0.283361,0.358342,0.019195,0.571429,0,0.541353,0.072185,0.195606,0.156448 +0,0,0,1,1,0,0.155358,0.089271,0.119533,0.730375,0.474642,0.398949,0.449314,0.417795,0.524946,0.714529,0.647406,0.529983,0.60039,0.472912,0.2335,0.545244,0.14302,0.241667,0.074384,0.171951,0.189569,0.238363,0.205777,0.263791,0.306044,0.515014,0.401071,0.251296,0.345648,0.413198,0.385869,0.199264,0.100671,0.14934,0.157156,0.075635,0.121913,0.173655,0.235158,0.21014,0.351098,0.226535,0.187556,0.224504,0.1899,0.175695,0.196048,0.134169,0.368667,0.419528,0.903127,0.479081,0.439643,0.400288,0.280699,0.261559,0.387603,0.633223,0.333504,0.173249,0.235255,0.284588,0.139944,0.145399,0.02265,0.190476,0,0.180451,0.095258,0,0.038272 +0,0,1,1,0,0,0.40124,0.167548,0.069232,0.208118,0.520416,0.20736,0.499454,0.371844,0.376732,0.360817,0.459541,0.221107,0.497125,0.573162,0.476199,0.699212,0.123197,0.064638,0.025987,0.111909,0.168256,0.183887,0.156781,0.2259,0.356415,0.537254,0.53641,0.519786,0.843006,0.734078,0.691259,0.526471,0.122493,0.134191,0.092873,0.306414,0.54225,0.28976,0.363546,0.288566,0.483501,0.50359,0.426655,0.527569,0.815047,0.666137,0.562002,0.41838,0.274178,0.202797,0.93462,0.675332,0.381459,0.26881,0.155099,0.164671,0.32137,0.545626,0.42857,0.644469,0.983771,0.626022,0.269259,0.310244,0.028604,0.015873,0.001545,0.015038,0.144425,0.012865,0.071215 +0,0,1,0,0,0,0.405753,0.210076,0.055926,0.460735,0.553954,0.103828,0.650743,0.193448,0.433543,0.737779,0,0.504458,0.719364,0.472333,0.463012,0.461528,0.093937,0.086242,0.029254,0.137561,0.064415,0.159988,0.142661,0.236209,0.16277,0.300265,0.395102,0.170706,0.246216,0.227521,0.241935,0.22123,0.074151,0.120826,0.048726,0.361774,0.241914,0.225961,0.378148,0.63212,0.288774,0.555423,0.404361,0.217934,0.366308,0.328853,0.195231,0.142203,0.262059,0.174057,0.938496,0.658827,0.255655,0.335431,0.273271,0.330845,0.218835,0.338976,0.46956,0.100194,0.223882,0.244834,0.086182,0.110719,0.011273,0.507937,0,0.481203,0.096179,0.082279,0.085109 +0,1,0,0,0,1,0.340682,0.195924,0.111897,0.681785,0.371236,0.405029,0.4463,0.424554,0.345531,0.608989,0.514827,0.43298,0.791165,0.488991,0.332338,0.682758,0.188957,0.198989,0.063679,0.109169,0.164175,0.288331,0.423317,0.289995,0.324418,0.390236,0.349574,0.201905,0.381198,0.261591,0.340493,0.255124,0.034839,0.081364,0.130328,0.054465,0.056745,0.135246,0.266016,0.205052,0.166022,0.115504,0.085729,0.070839,0.084222,0.095008,0.114143,0.064469,0.275537,0.185895,0.912013,0.537084,0.286497,0.283401,0.423617,0.219355,0.418662,0.213712,0.211523,0.11144,0.146771,0.081718,0.070828,0.103701,0.121675,0.253968,0.070289,0.75188,0.317436,0.271671,0.370146 +0,0,0,0,0,1,0.423171,0.241909,0.130366,0.813023,0.368869,0.385173,0.543333,0.422676,0.366416,0.427686,0.549965,0.379032,0.458441,0.436259,0.361961,0.512758,0.189143,0.180427,0.053756,0.088753,0.125369,0.400516,0.371282,0.335982,0.290557,0.402573,0.383879,0.205331,0.319087,0.309907,0.30584,0.237284,0.080917,0.10552,0.185394,0.106796,0.134854,0.216603,0.237353,0.227295,0.230589,0.109875,0.112275,0.063694,0.100537,0.089558,0.080323,0.045503,0.303612,0.241804,0.928478,0.410377,0.333069,0.502005,0.442226,0.360932,0.230847,0.416035,0.231254,0.174234,0.121444,0.126162,0.084121,0.091458,0.086748,0.761905,0.133854,0.721805,0.1209,0.244752,0.379869 +1,0,0,0,0,1,0.816026,0.495866,0.308535,0.73138,0.238104,0.523616,0.490547,0.333013,0.346508,0.642918,0.409399,0.521283,0.43207,0.505893,0.366534,0.325925,0.820976,0.567652,0.176526,0.36498,0.50869,0.725691,0.862806,1,0.590185,0.848177,0.921132,0.341662,0.741191,0.473263,0.544777,0.377029,0.350664,0.218134,0.204473,0.247913,0.215978,0.391294,0.357714,0.501431,0.247478,0.268902,0.169481,0.088424,0.187429,0.122318,0.111803,0.095575,0.747434,0.24834,0.859265,0.388195,0.469802,0.565512,0.574738,0.915514,0.340495,0.456643,0.452763,0.182403,0.411368,0.180379,0.145508,0.133777,0.267675,0.190476,0.005024,0.661654,0.479878,0.001451,0.250882 +0,0,1,0,1,0,0.393135,0.326733,0.275314,0.586298,0.306196,0.24921,0.414415,0.396469,0.318347,0.689409,0.509601,0.606027,0.748763,0.541514,0.427969,0.567447,0.372737,0.46598,0.196352,0.320068,0.377263,0.461439,0.551426,0.405595,0.508431,0.610864,0.695018,0.361245,0.52229,0.378792,0.493855,0.285695,0.226374,0.261885,0.197957,0.241889,0.349435,0.288089,0.437075,0.367356,0.238538,0.239511,0.19755,0.131327,0.246028,0.125013,0.158265,0.133069,0.368667,0.517969,0.820629,0.398195,0.295252,0.313165,0.436117,0.340503,0.316529,0.448283,0.419255,0.192571,0.313705,0.162685,0.254087,0.147822,0.066215,0.269841,0.23403,0.255639,0.150122,0.28924,0.231309 +0,0,1,0,1,0,0.243873,0.141306,0.119612,0.780447,0.456269,0.426691,0.5284,0.321135,0.463121,0.461721,0.365487,0.380758,0.433199,0.63264,0.303548,0.54522,0.144011,0.1768,0.080413,0.135376,0.193407,0.163614,0.259789,0.336142,0.328756,0.389007,0.450498,0.227417,0.344274,0.327214,0.433444,0.246064,0.048324,0.132736,0.182517,0.124132,0.191422,0.138541,0.3676,0.409113,0.424364,0.272008,0.258618,0.124129,0.268937,0.37885,0.199111,0.150247,0.33558,0.281375,0.925908,0.471179,0.265722,0.272453,0.402288,0.471627,0.577442,0.385159,0.492794,0.221784,0.252834,0.224164,0.211009,0.143958,0.236328,0.380952,0.526438,0.360902,0.427513,0.024335,0.525943 +0,0,0,1,1,0,0.155569,0.048443,0.156199,0.503511,0.667886,0.585293,0.385699,0.59259,0.604335,0.348523,0.48965,0.345615,0.647841,0.555107,0.213105,0.645966,0.09917,0.103037,0.11156,0.19167,0.347812,0.359129,0.300523,0.314551,0.332912,0.490463,0.425471,0.211422,0.327529,0.331629,0.471325,0.361475,0.076088,0.121737,0.125279,0.291577,0.34764,0.261784,0.314737,0.331202,0.390661,0.198864,0.230659,0.097858,0.205263,0.160191,0.268691,0.211654,0.420117,0.344963,0.897334,0.476224,0.403816,0.500806,0.440091,0.521643,0.466327,0.516775,0.276731,0.197233,0.200899,0.158795,0.235911,0.257355,0.020825,0.206349,0.036445,0.195489,0.138763,0.127559,0.144635 +0,0,0,1,1,0,0.199961,0.060774,0.1386,0.521855,0.470127,0.75461,0.727331,0.610686,0.499292,0.282518,0.54454,0.388304,0.601661,0.170524,0.26017,0.513659,0.169878,0.158425,0.110823,0.266803,0.37749,0.450318,0.504899,0.454095,0.429,0.632806,0.59919,0.299474,0.355182,0.529022,0.482345,0.203123,0.080645,0.109033,0.116708,0.212568,0.310523,0.296608,0.539751,0.6222,0.343286,0.290562,0.286788,0.204338,0.311193,0.273665,0.273757,0.094286,0.572336,0.354608,0.880477,0.553342,0.453093,0.644035,0.506875,0.61776,0.701867,0.670899,0.560191,0.321728,0.314821,0.350308,0.206442,0.152198,0.05848,0.698413,0.00342,0.661654,0.098714,0.161542,0.233632 +0,0,1,1,1,0,0.126839,0.047499,0.009082,0.211848,0.574258,0.738314,0.419708,0.531319,0.522231,0.52227,0.461181,0.275919,0.57878,0.578563,0.553151,0.450292,0.062893,0.122583,0.044085,0.182543,0.106542,0.24179,0.117947,0.164951,0.160914,0.227035,0.297362,0.236915,0.185416,0.344199,0.31174,0.283968,0.059356,0.177244,0.10391,0.335205,0.272593,0.484848,0.436604,0.333748,0.366401,0.231333,0.272563,0.253518,0.263481,0.424074,0.491705,0.238847,0.344816,0.564216,0.9307,0.716008,0.453364,0.587571,0.464405,0.287605,0.43261,0.455419,0.41577,0.400545,0.364688,0.496635,0.307108,0.426594,0.108163,0.079365,0.004261,0.075188,0.253083,0.004988,0.124713 +1,0,0,0,0,1,0.190226,0.093747,0.188302,0.721248,0.399125,0.528681,0.476363,0.635667,0.277846,0.598843,0.563864,0.472907,0.573511,0.545788,0.475183,0.488969,0.233018,0.265775,0.135049,0.250589,0.28833,0.3254,0.382286,0.325679,0.258458,0.314872,0.395572,0.153105,0.307917,0.273011,0.314741,0.148001,0.067151,0.103843,0.066866,0.032138,0.159894,0.171301,0.123797,0.187843,0.147491,0.108452,0.117135,0.039492,0.071562,0.058721,0.075156,0.047642,0.409651,0.271413,0.881131,0.544378,0.334092,0.292885,0.167092,0.219963,0.404567,0.153728,0.231939,0.066177,0.059686,0.09972,0.092448,0.04162,0.297456,0.761905,0.272051,0.721805,0.258927,0.326097,0.467334 +1,0,0,0,0,1,0.662515,0.317453,0.228583,0.792425,0.361913,0,0.68288,0.406889,0.077886,0.587026,0.47611,0.379739,0.121452,0.494029,0.464461,0.317513,0.24715,0.154419,0.133377,0.083108,0.195875,0.449832,0.379452,0.361117,0.273919,0.369489,0.256926,0.134922,0.367839,0.234904,0.370924,0.204718,0.203869,0.102059,0.097804,0.07251,0.13054,0.188913,0.282283,0.301071,0.186684,0.111721,0.118109,0.05455,0.150121,0.129643,0.154643,0.091416,0.261325,0.257791,0.883091,0.388526,0.185847,0.350952,0.227465,0.202012,0.200525,0.216286,0.132038,0.060631,0.2358,0.06119,0.149442,0.058347,0.328437,0.507937,0.361957,0.481203,0.607982,0.206025,0.720728 +0,1,0,0,0,0,0.409544,0.269046,0.11044,0.809396,0.303087,0.489655,0.50601,0.432816,0.376424,0.505229,0.544003,0.316533,0.497461,0.562506,0.619556,0.429902,0.158892,0.157971,0.054438,0.066166,0.04112,0.120726,0.12878,0.191687,0.246035,0.315573,0.270329,0.235522,0.28197,0.347882,0.42335,0.314276,0.035672,0.08453,0.153223,0.076059,0.041024,0.142857,0.175527,0.194558,0.296759,0.253773,0.225389,0.108334,0.148028,0.188799,0.145941,0.228468,0.250216,0.132128,0.91907,0.382304,0.141858,0.265343,0.268323,0.249194,0.229384,0.288571,0.131035,0.150309,0.172162,0.149905,0.142542,0.153197,0.335805,0.190476,0.369242,0.180451,0.646747,0.46736,0.611967 +0,1,1,0,0,0,0.180599,0.046299,0.089192,0.396184,0.633888,0.732228,0.364313,0.602471,0.357085,0.4859,0.442477,0.398751,0.309408,0.414374,0.295436,0.374225,0.076566,0.089453,0.095409,0.210323,0.335592,0.352645,0.19148,0.221301,0.276893,0.440663,0.476572,0.364147,0.801717,0.632515,0.814902,0.576279,0.043757,0.091915,0.07033,0.426365,0.380441,0.635485,0.196087,0.286445,0.355037,0.259971,0.147571,0.193671,0.36514,0.296222,0.360908,0.254394,0.334404,0.303374,0.913059,0.480241,0.353634,0.351934,0.21021,0.201467,0.378116,0.512628,0.345134,0.375347,0.852589,0.614998,0.456024,0.625452,0.028396,0.142857,0.138787,0.135338,0.208461,0.233668,0.260406 +0,0,0,0,0,1,0.084525,0.843998,0.345811,0.535694,0.277824,0.716941,0.332003,0.47009,0.391437,0.465921,0.532316,0.331287,0.623139,0.586702,0.264371,0.461584,0.150563,0.956094,0.256026,0.19163,0.156582,0.11234,0.012298,0.069001,0.03556,0.190881,0.167517,0.091177,0.198955,0.153793,0.171167,0.076397,0.062473,0.318377,0.139721,0.166099,0.281679,0.061448,0.161423,0.095771,0.050786,0.153473,0.098135,0.009431,0.012126,0.039958,0.051582,0.020695,0.356971,0.007099,0.800157,0.563153,0.244175,0.15733,0.009471,0.038957,0,0.158663,0.038716,0.032211,0.089075,0.011374,0.041785,0.025176,0.77055,0.253968,0.743363,0.240602,0.711251,0.782596,0.781389 +0,0,1,1,1,0,0.102634,0.018241,0.122165,0.572586,0.684425,0.569782,0.562231,0.557352,0.613415,0.50805,0.467461,0.402098,0.804489,0.735406,0.257715,0.528039,0.049318,0.051272,0.093605,0.164227,0.294802,0.261643,0.308895,0.377948,0.317915,0.479665,0.374737,0.116812,0.368869,0.453084,0.375622,0.308688,0.037562,0.156624,0.135494,0.196951,0.339565,0.170607,0.331077,0.541531,0.404044,0.289676,0.186003,0.091691,0.258114,0.32778,0.178133,0.173294,0.371495,0.323591,0.898249,0.466212,0.466899,0.275273,0.343882,0.578488,0.564352,0.749639,0.434702,0.139082,0.353212,0.248979,0.190514,0.243622,0.059587,0,0.032846,0.390977,0.214006,0.097482,0.278973 +0,0,0,1,1,0,0.355341,0.140755,0.099765,0.609026,0.522577,0.316059,0.350246,0.500732,0.227998,0.352632,0.471961,0.488851,0.367638,0.657174,0.116092,0.198574,0.118385,0.084528,0.061479,0.17425,0.199671,0.224821,0.217331,0.224153,0.236478,0.529294,0.401745,0.349959,0.620555,0.602543,0.645255,0.491088,0.171144,0.129833,0.140601,0.361035,0.397609,0.313824,0.285471,0.405147,0.625976,0.439431,0.237902,0.276501,0.529504,0.392761,0.322013,0.284887,0.299444,0.218402,0.910532,0.469222,0.492058,0.304261,0.196423,0.215922,0.343563,0.462679,0.359374,0.514225,0.894014,0.807576,0.409071,0.550925,0.047794,0.142857,0.042998,0.135338,0.101578,0.116429,0.127032 +0,0,1,0,0,0,0.683102,0.414486,0.352544,0.091576,0.290111,0.723944,0.434932,0.828654,0.440524,0.792625,0.677717,0.596907,0.822066,0.584899,0.400952,0.671749,0.83938,0.677133,0.207827,0.419321,0.517548,0.514616,0.537896,0.462393,0.648592,0.802843,0.527222,0.389738,0.604904,0.569234,0.537901,0.292959,0.217774,0.212464,0.074146,0.257386,0.202586,0.142689,0.297937,0.25919,0.27496,0.243879,0.11898,0.123152,0.130056,0.131084,0.093735,0.060863,0.371954,0.054683,0.814008,0.590054,0.184877,0.240068,0.284955,0.259411,0.644504,0.578887,0.271956,0.21314,0.31965,0.317631,0.101634,0.120911,0.14489,0.349206,0.297031,0.330827,0.214927,0.006119,0.302358 +0,0,0,1,1,0,0.089957,0.014203,0.079534,0.498023,0.704533,0.624402,0.428793,0.486269,0.228773,0.578278,0.806567,0.379366,0.719781,0.519058,0.212223,0.303271,0.038159,0.038938,0.07774,0.146108,0.211619,0.200675,0.143046,0.150912,0.181457,0.419742,0.287446,0.189586,0.458497,0.263872,0.245272,0.104524,0.056708,0.088278,0.218328,0.191904,0.258028,0.362582,0.389448,0.354467,0.364115,0.624748,0.176012,0.174429,0.292843,0.153043,0.201107,0.093232,0.380584,0.283915,0.908921,0.725557,0.502289,0.37178,0.287563,0.358362,0.451835,0.600625,0.293901,0.240935,0.482174,0.193224,0.121981,0.107095,0.031548,0.460317,0.008926,0.43609,0.119112,0.203475,0.18295 +1,1,0,0,0,1,0.386581,0.229555,0.311393,0.625824,0.289581,0.804005,0.390353,0.69911,0.277078,0.58221,0.542259,0.375263,0.6541,0.522018,0.433683,0.499686,0.534236,0.46498,0.204053,0.371766,0.383565,0.511696,0.66623,0.581844,0.554323,0.756669,0.640916,0.334184,0.469293,0.368776,0.474041,0.28149,0.128913,0.158731,0.101327,0.052329,0.163691,0.161076,0.268859,0.36689,0.205767,0.183036,0.124613,0.096715,0.105075,0.089255,0.091222,0.06066,0.448266,0.12754,0.867802,0.447923,0.319175,0.356414,0.334307,0.473796,0.439444,0.419023,0.313851,0.151822,0.126864,0.150961,0.131723,0.124094,0.091127,0.380952,0,0.932331,0.207608,0.147339,0.177103 +1,1,0,0,0,0,0.707112,0.421341,0.19491,0.562849,0.209525,0.481234,0.463674,0.4505,0.190541,0.330334,0.351135,0.203765,0.513848,0.547505,0.38001,0.373202,0.277271,0.245701,0.085969,0.216265,0.192917,0.418845,0.151066,0.204809,0.225372,0.371906,0.372498,0.349616,0.577121,0.666471,0.841333,0.772229,0.103244,0.158819,0.158683,0.15896,0.195652,0.212157,0.180242,0.18112,0.271121,0.140206,0.083652,0.199183,0.229064,0.302261,0.286357,0.214308,0.294357,0.234993,0.898728,0.543592,0.276422,0.384141,0.122673,0.182152,0.215863,0.23505,0.176669,0.303364,0.422484,0.471142,0.423557,0.788432,0.050964,0.253968,0.0081,0.240602,0.235611,0.155413,0.204888 +0,0,0,1,1,0,0.234214,0.097773,0.119363,0.533474,0.555567,0.378176,0.566619,0.484827,0.649068,0.637311,0.490795,0.343596,0.503039,0.554512,0.052132,0.318603,0.130114,0.114803,0.094287,0.290147,0.255396,0.332063,0.414593,0.355234,0.35303,0.469966,0.433469,0.181108,0.312667,0.526961,0.395426,0.260625,0.186098,0.248894,0.163379,0.442111,0.363055,0.294213,0.471723,0.808149,0.454178,0.415322,0.2987,0.131625,0.207154,0.482023,0.227862,0.169781,0.324636,0.231708,0.896724,0.443672,0.357019,0.595938,0.638928,0.718781,0.640116,0.713229,0.375887,0.171274,0.301435,0.436028,0.231538,0.227278,0.058221,0.666667,0,0.631579,0.12137,0.269654,0.249598 +0,1,1,0,0,0,0.245709,0.105288,0.088334,0.227264,0.717774,0.190478,0.49218,0.488289,0.440717,0.30594,0.57217,0.454489,0.55995,0.489724,0.38516,0.396287,0.087013,0.055179,0.031895,0.192432,0.12585,0.135227,0.089325,0.151855,0.220534,0.347054,0.320502,0.263261,0.382552,0.321614,0.379743,0.209633,0.080954,0.084706,0.105201,0.469865,0.463469,0.225457,0.147681,0.190399,0.291362,0.281233,0.19258,0.159303,0.206934,0.218911,0.255604,0.12709,0.33042,0.225014,0.931048,0.701239,0.445598,0.184858,0.142523,0.099872,0.218801,0.471485,0.293278,0.305818,0.455175,0.158697,0.139798,0.115192,0.038405,0.253968,0.081715,0.240602,0.139449,0.190871,0.203469 +0,0,0,1,1,0,0.096452,0.013144,0.097653,0.537552,0.556963,0.715443,0.421425,0.698718,0.534145,0.777011,0.529389,0.207879,0.829167,0.434122,0.355846,0.582826,0.069618,0.064819,0.044371,0.176258,0.205895,0.180705,0.312316,0.309635,0.281776,0.459604,0.475985,0.266914,0.370146,0.305631,0.351496,0.239607,0.090939,0.105751,0.074146,0.353767,0.375355,0.406164,0.638098,0.593399,0.361064,0.457144,0.436903,0.295385,0.362867,0.293662,0.290547,0.235503,0.40989,0.30074,0.925255,0.638505,0.557194,0.419614,0.489658,0.564348,0.502338,0.728494,0.568973,0.413288,0.445432,0.248453,0.181152,0.182585,0.023747,0.111111,0.003865,0.548872,0.080757,0.04805,0.091179 +0,0,1,0,0,0,0.135661,0.051104,0.051035,0.469335,0.421903,0.748829,0.494134,0.568127,0.570114,0.512497,0.465355,0.189415,0.218267,0.220472,0.322587,0.448425,0.121606,0.180418,0.052787,0.213119,0.250913,0.216097,0.065193,0.126374,0.102565,0.162919,0.197357,0.211554,0.277767,0.283614,0.46126,0.236489,0.05843,0.109388,0.118234,0.228818,0.219449,0.294347,0.092323,0.348294,0.27302,0.138697,0.171728,0.192949,0.243936,0.246335,0.285989,0.12471,0.35396,0.397839,0.917458,0.593818,0.328384,0.411817,0.185899,0.232035,0.364871,0.333102,0.27319,0.323109,0.387411,0.244673,0.317313,0.208758,0.026522,0,0.010308,0,0.11038,0.011687,0.052514 +0,0,0,1,1,0,0.096533,0,0.081872,0.392341,0.662405,0.760049,0.781022,0.477613,0.642746,0.57901,0.68856,0.398475,0.671012,0.141527,0.388713,0.547255,0.044624,0.029591,0.078367,0.154478,0.193635,0.171347,0.263297,0.265798,0.328488,0.39519,0.26676,0.16606,0.285881,0.205169,0.381302,0.259623,0.028176,0.043783,0.099918,0.281307,0.425244,0.220069,0.508566,0.654436,0.626769,0.494752,0.270866,0.219138,0.313862,0.245573,0.278107,0.225639,0.43723,0.272821,0.909835,0.6397,0.47543,0.406041,0.497986,0.560857,0.720384,0.742301,0.406439,0.280339,0.425265,0.219089,0.282413,0.311953,0.014697,0.698413,0,0.661654,0.035931,0.079686,0.049143 +1,1,0,0,0,0,0.417054,0.277746,0.084007,0.891965,0.326918,0.340634,0.397942,0.550035,0.305085,0.521561,0.455056,0.375494,0.568947,0.480902,0.380256,0.415827,0.241038,0.290238,0.049542,0.093567,0.116866,0.195826,0.218945,0.206823,0.251366,0.359745,0.41408,0.223106,0.267801,0.243025,0.296347,0.211426,0.065869,0.186889,0.077081,0.05798,0.173697,0.153854,0.18144,0.206104,0.20127,0.133456,0.197034,0.201474,0.098611,0.085022,0.121784,0.09396,0.33143,0.290134,0.932181,0.548013,0.396584,0.304866,0.266326,0.1123,0.256538,0.259748,0.240222,0.187566,0.166935,0.091143,0.105484,0.073632,0.278436,0.460317,0.256143,0.43609,0.512495,0.075458,0.477747 +1,0,0,0,0,1,0.624887,0.41805,0.083522,0.808179,0.24643,0.521957,0.316828,0.312939,0.288735,0.505425,0.586456,0.399516,0.567646,0.543773,0.365725,0.586584,0.232739,0.200433,0.030926,0.064812,0.076062,0.143916,0.251659,0.182692,0.189539,0.253,0.242359,0.146014,0.249917,0.226355,0.25995,0.2082,0.308526,0.481124,0.06716,0.103402,0.266183,0.123957,0.290582,0.141719,0.250182,0.13932,0.08182,0.058504,0.079022,0.066727,0.10713,0.046711,0.255375,0.152168,0.951564,0.383849,0.093015,0.238478,0.307977,0.17524,0.154789,0.307575,0.228771,0.093808,0.13256,0.096328,0.049609,0.071657,0.141249,0.507937,0.188422,0.481203,0.285259,0.252239,0.503981 +0,1,1,0,0,0,0.535136,0.287642,0.088989,0.698117,0.238637,0.327306,0.398642,0.532217,0.248025,0.441269,0.752004,0.485689,0.769842,0.573437,0.244287,0.266211,0.283922,0.261431,0.06544,0.149346,0.101436,0.221209,0.194606,0.309862,0.212298,0.440635,0.372671,0.262637,0.430625,0.464674,0.476555,0.325453,0.234459,0.231037,0.081719,0.173643,0.153366,0.296519,0.426848,0.598364,0.231717,0.30043,0.267829,0.251445,0.255101,0.371602,0.343855,0.177075,0.292209,0.271677,0.916021,0.429085,0.136498,0.219049,0.203907,0.244418,0.24983,0.466808,0.28422,0.274508,0.302643,0.383851,0.311181,0.290961,0.026947,0.555556,0.023671,0.526316,0.087502,0.015128,0.161317 +0,0,1,0,0,0,0.320818,0.145049,0.059925,0.590309,0.52516,0.255485,0.265389,0.646111,0.384324,0.609218,0.389597,0.244474,0.510816,0.410607,0.267611,0.310709,0.137508,0.142695,0.098049,0.188011,0.225051,0.350607,0.31352,0.182394,0.111277,0.252782,0.195671,0.149626,0.319649,0.370678,0.43862,0.399837,0.118731,0.090547,0.087531,0.207571,0.376554,0.31126,0.304175,0.272679,0.243111,0.302557,0.230824,0.152693,0.49928,0.483101,0.337675,0.311227,0.302253,0.30737,0.894547,0.430975,0.240569,0.327667,0.261192,0.225211,0.223396,0.453356,0.293562,0.261207,0.535765,0.649797,0.415269,0.666921,0.023154,0.285714,0.079619,0.270677,0.114514,0.114256,0.196949 +0,1,1,0,0,0,0.441966,0.251355,0.151139,0.668506,0.28407,0.403979,0.386333,0.380889,0.302259,0.537905,0.497967,0.363537,0.584379,0.433702,0.432734,0.490549,0.338411,0.290408,0.069829,0.196668,0.247282,0.320931,0.514836,0.307488,0.332353,0.482466,0.404052,0.197949,0.375187,0.329047,0.374159,0.264364,0.103712,0.095811,0.03311,0.235999,0.132927,0.178914,0.439902,0.468858,0.390575,0.372937,0.18267,0.075548,0.167,0.155423,0.180746,0.140068,0.348488,0.227777,0.925647,0.377127,0.316168,0.332077,0.437801,0.353665,0.374643,0.343851,0.225196,0.132122,0.307081,0.237023,0.12228,0.147392,0.280526,0.507937,0,0.481203,0.437716,0.08384,0.27515 +0,0,1,1,1,0,0.163268,0.046434,0.041478,0.382621,0.887891,0.571242,0.243065,0.555321,0.477599,0.54382,0.59204,0.393385,0.624329,0.275322,0.199283,0.235012,0.081025,0.046945,0.045471,0.175547,0.240107,0.16817,0.201188,0.206179,0.160301,0.361149,0.198223,0.158928,0.217398,0.216909,0.185295,0.128737,0.098126,0.100538,0.159152,0.27077,0.482825,0.381068,0.585149,0.510351,0.354841,0.379451,0.222363,0.158153,0.202152,0.213058,0.195557,0.126174,0.472926,0.275661,0.924863,0.688956,1,0.581291,0.527898,0.46473,0.492083,0.789446,0.405105,0.279568,0.329692,0.254395,0.124045,0.158351,0.009218,0.349206,0.009948,0.330827,0.035498,0.055775,0.056592 +1,0,0,0,0,1,0.435968,0.634589,0.228685,0.710449,0.150487,0.383037,0.22816,0.708179,0.560605,0.751535,0.691127,0.576015,0.655469,0.597794,0.308284,0.444817,0.499724,0.756207,0.172147,0.246738,0.263397,0.454889,0.496038,0.364692,0.151209,0.222975,0.151609,0.087995,0.181305,0.159903,0.258459,0.153069,0.229958,0.284826,0.085124,0.022046,0.223997,0.169658,0.137726,0.1396,0.11431,0.069853,0.035446,0.024078,0.00712,0.034773,0.048231,0.021814,0.346376,0.148965,0.850423,0.522761,0.480726,0.195568,0.143871,0.125174,0.122613,0.165987,0.076578,0.053474,0.046618,0.044984,0.037259,0.046723,0.673453,0.190476,0.741196,0.180451,0.645902,0.746494,0.727501 +0,0,1,1,1,0,0.092468,0.020593,0.14409,0.523414,0.732877,0.427167,0.524562,0.661858,0.624883,0.350604,0.428895,0.529549,0.873161,0.550911,0.339827,0.578907,0.042271,0.051395,0.147085,0.218109,0.296935,0.2533,0.230257,0.394229,0.138799,0.233982,0.21443,0.169232,0.358186,0.294244,0.286576,0.187732,0.048062,0.214622,0.211636,0.350248,0.454667,0.21284,0.201601,0.514725,0.253874,0.150442,0.13441,0.146424,0.240265,0.164628,0.192321,0.093197,0.35956,0.331587,0.869588,0.450159,0.351892,0.236856,0.410567,0.461636,0.483455,0.356525,0.188329,0.11271,0.300775,0.216983,0.145982,0.116794,0.06165,0.730159,0,0.691729,0.059922,0.167836,0.218578 +1,1,1,0,0,0,0.40307,0.209865,0.118358,0.455786,0.449254,0.332466,0.537611,0.330827,0.408063,0.421327,0.662874,0.342182,0.398902,0.500223,0.224825,0.17849,0.137676,0.107996,0.028154,0.162305,0.144166,0.109118,0.117994,0.203258,0.228553,0.377411,0.437842,0.326705,0.491252,0.536954,0.511419,0.316003,0.17005,0.191982,0.043149,0.493022,0.369978,0.133239,0.253294,0.348299,0.197967,0.320748,0.336922,0.290876,0.321156,0.483995,0.323592,0.257333,0.321257,0.20522,0.928522,0.638862,0.486461,0.186762,0.122475,0.116197,0.214888,0.203709,0.342994,0.324176,0.321503,0.313734,0.246277,0.225976,0.043337,0.301587,0.233707,0.285714,0.162016,0.302033,0.458896 +0,1,1,0,0,0,0.24464,0.107254,0.075185,0.695821,0.356349,0.623063,0.451012,0.598674,0.504689,0.452537,0.413678,0.391148,0.567377,0.586682,0.513499,0.33002,0.14598,0.166286,0.0426,0.094821,0.117087,0.26888,0.171134,0.143031,0.203533,0.290973,0.311252,0.151772,0.250869,0.289965,0.401116,0.339753,0.102196,0.183511,0.088588,0.102799,0.135895,0.257515,0.268373,0.277025,0.247105,0.193461,0.144411,0.09791,0.145395,0.182127,0.167662,0.146631,0.295533,0.204041,0.932268,0.525851,0.180933,0.314534,0.145088,0.177728,0.282049,0.340168,0.538458,0.118869,0.228385,0.269583,0.215633,0.448383,0.046681,0.301587,0,0.285714,0.206932,0.130552,0.168964 +0,0,0,0,0,1,0.256437,0.324236,0.215909,0.719694,0.265803,0.411198,0.418562,0.497219,0.448591,0.601074,0.526382,0.392724,0.800774,0.440283,0.524656,0.585035,0.287303,0.611225,0.159253,0.304604,0.236915,0.361043,0.346586,0.451002,0.335906,0.555907,0.508887,0.316347,0.437421,0.440697,0.394527,0.324913,0.118086,0.295852,0.16696,0.172296,0.20085,0.448748,0.433046,0.242874,0.205577,0.18028,0.117872,0.086296,0.141053,0.119086,0.131079,0.082965,0.289418,0.440231,0.865232,0.343088,0.157065,0.289117,0.291157,0.407636,0.376412,0.461832,0.359307,0.178978,0.226349,0.233719,0.060781,0.158225,0.066479,0.174603,0.023741,0.639098,0.16019,0,0.126293 +0,0,0,0,0,1,0.281959,0.110373,0.269418,0.661092,0.540599,0.330202,0.372555,0.49553,0.190787,0.203206,0.57396,0.416278,0.592342,0.126493,0.205997,0.388469,0.110174,0.096668,0.262826,0.251267,0.192339,0.119965,0.093776,0.128877,0.170699,0.361435,0.219307,0.124051,0.346531,0.265345,0.231979,0.225745,0.116429,0.158241,0.09892,0.125803,0.38789,0.145716,0.323244,0.239063,0.389268,0.306578,0.140178,0.055492,0.093175,0.141439,0.076006,0.051917,0.294614,0.27004,0.82272,0.387631,0.318704,0.179179,0.032952,0.079055,0.098923,0.160122,0.136638,0.054298,0.208137,0.253818,0.139604,0.090722,0.223591,0.666667,0.308154,0.631579,0.119346,0.39933,0.601022 +0,0,0,1,1,0,0.118227,0.023569,0.110575,0.433619,0.662522,0.636165,0.593637,0.701123,0.521675,0.658869,0.614033,0.30168,0.352595,0.270432,0,0.473691,0.067649,0.071804,0.055472,0.169576,0.279235,0.333021,0.319747,0.307858,0.287123,0.588462,0.53077,0.209669,0.439931,0.436133,0.43015,0.373968,0.024742,0.080287,0.116473,0.231368,0.300176,0.269453,0.404596,0.49395,0.24953,0.319547,0.329162,0.155771,0.277785,0.223173,0.296916,0.257463,0.387892,0.346594,0.91001,0.577296,0.550535,0.512601,0.375755,0.479012,0.346276,0.662032,0.531186,0.19419,0.33711,0.246,0.18182,0.287885,0.01943,0.253968,0.044178,0.240602,0.053161,0.088852,0.090665 +0,1,0,0,0,1,0.471527,0.273781,0.121453,0.807595,0.35256,0.432307,0.398422,0.389296,0.069644,0.581405,0.540623,0.398411,0.688174,0.462876,0.432314,0.528828,0.231427,0.245129,0.058145,0.099678,0.133628,0.273194,0.375839,0.316583,0.344351,0.571807,0.477729,0.240459,0.45437,0.445114,0.485792,0.290428,0.012015,0.100044,0.066925,0.037827,0.103487,0.201603,0.302283,0.289908,0.282573,0.211808,0.226048,0.141577,0.268005,0.15393,0.219501,0.098544,0.35407,0.281997,0.917153,0.464785,0.25826,0.265578,0.285859,0.301447,0.407721,0.319401,0.284492,0.100812,0.241154,0.177825,0.14408,0.135452,0.315306,0.619048,0.119179,0.586466,0.05701,0.53881,0.486456 +1,1,0,0,0,0,0.491796,0.294328,0.080155,0.815661,0.31014,0.382095,0.425071,0.404959,0.32644,0.429637,0.494317,0.374194,0.634896,0.488844,0.354874,0.208137,0.161059,0.151862,0.036504,0.067828,0.040325,0.16135,0.086724,0.194473,0.135802,0.222924,0.197328,0.163005,0.269245,0.218903,0.287259,0.160549,0.14149,0.155903,0.145532,0.064641,0.106457,0.219563,0.208015,0.399816,0.194505,0.174974,0.17201,0.151707,0.27589,0.229217,0.184146,0.095657,0.263785,0.167914,0.935883,0.399276,0.194343,0.246058,0.307041,0.221437,0.308332,0.30688,0.181027,0.146252,0.202786,0.074086,0.106099,0.140133,0.167969,0.698413,0.022153,0.661654,0.161636,0.367744,0.337701 +0,0,1,0,0,0,0.214329,0.104862,0.296674,0.087206,0.425015,0.650364,0.465021,0.71412,0.422019,0.898221,0.645579,0.562184,0.626439,0.534501,0.569824,0.78983,0.328825,0.345639,0.16614,0.271711,0.3202,0.51154,0.510393,0.36334,0.542705,0.60586,0.616972,0.250901,0.417275,0.415023,0.427294,0.317149,0.069453,0.11419,0.066866,0.346987,0.235782,0.236155,0.252793,0.274988,0.4055,0.226748,0.193683,0.119135,0.136361,0.137076,0.140982,0.092643,0.349443,0.159003,0.850945,0.643788,0.116503,0.330846,0.350429,0.186356,0.583625,0.495507,0.390761,0.188258,0.203822,0.168901,0.181166,0.143032,0.142792,0.333333,0,0.315789,0.29754,0.004244,0.14792 +0,0,1,1,0,0,0.12759,0.033828,0.09397,0.572594,0.660666,0.449599,0.713787,0.669711,0.129399,0.61768,0.555475,0.370466,0.386562,0.464199,0.314024,0.439641,0.07121,0.080504,0.085606,0.171677,0.211806,0.318786,0.538704,0.445711,0.539124,0.625592,0.66489,0.315729,0.370168,0.34254,0.468598,0.293394,0.038966,0.084156,0.297464,0.177673,0.331487,0.189302,0.604017,0.557474,0.451292,0.268243,0.319292,0.158276,0.335614,0.147509,0.228073,0.153264,0.369604,0.344963,0.916935,0.651147,0.496774,0.53683,0.567934,0.625559,0.929845,0.660301,0.699602,0.24853,0.33319,0.331684,0.256666,0.224413,0.156541,0.111111,0.023816,0.105263,0.235657,0.065307,0.151028 +0,0,0,1,1,0,0.241794,0.099545,0.079489,0.624585,0.568262,0.616085,0.477997,0.626959,0.533366,0.161608,0.596332,0.485004,0.454521,0,0.25774,0.428323,0.204594,0.20485,0.062711,0.131884,0.318587,0.333718,0.242908,0.335646,0.30624,0.529483,0.383094,0.227108,0.401054,0.299166,0.32053,0.24888,0.262897,0.228597,0.157685,0.26265,0.471531,0.443909,0.325542,0.458398,0.395707,0.380821,0.276166,0.201512,0.359919,0.403354,0.203444,0.102116,0.76104,0.482523,0.911534,0.546215,0.611653,0.470476,0.349625,0.459024,0.446265,0.598194,0.326015,0.242171,0.326681,0.240831,0.13452,0.157323,0.020684,0.253968,0.019785,0.240602,0.101516,0.077408,0.099606 +0,0,1,1,0,0,0.288341,0.108492,0.116957,0.146274,0.624752,0.367397,0.573438,0.34808,0.695917,0.593521,0.272697,0.349568,0.060788,0.446393,0.270855,0.290212,0.095788,0.103121,0.044657,0.094039,0.098399,0.210814,0.33757,0.394461,0.413852,0.521261,0.608467,0.477697,0.635416,0.602052,0.669887,0.453926,0.073505,0.117055,0.178819,0.429206,0.381598,0.411214,0.507556,0.972275,0.519655,0.501785,0.481048,0.321784,0.589792,0.594626,0.515305,0.417453,0.33613,0.276746,0.919723,0.650615,0.37369,0.366413,0.513234,0.483394,0.495612,0.645621,0.721998,0.394354,0.612072,0.55355,0.318481,0.416762,0.026162,0.761905,0.011013,0.721805,0.133304,0.178383,0.178719 +0,0,1,0,1,0,0.443165,0.228062,0.035695,0.548145,0.292699,0.47477,0.530103,0.450296,0.45583,0.205688,0.454598,0.521151,0.919105,0.871747,0.42119,0.317004,0.164038,0.146637,0.02921,0.180779,0.146874,0.319725,0.151092,0.175988,0.182394,0.36378,0.371116,0.272647,0.508151,0.709752,0.789383,0.470348,0.18752,0.23162,0.106669,0.297592,0.321267,0.465503,0.290493,0.321441,0.43269,0.393509,0.390997,0.411126,0.513584,0.862765,0.770469,0.359465,0.295863,0.275643,0.928783,0.682696,0.365486,0.655923,0.259484,0.257617,0.462634,0.523497,0.329135,0.345632,0.662564,1,0.64505,0.494945,0.021017,0.190476,0.007763,0.661654,0.076465,0.111323,0.129278 +0,0,0,0,0,1,0.537182,0.540447,0.134748,0.787345,0.129166,0.656119,0.393123,0.494864,0.473522,0.439378,0.260844,0.374693,0.77992,0.257166,0.196042,0.227873,0.517832,0.600146,0.063723,0.218574,0.309776,0.428087,0.544099,0.443358,0.367601,0.51533,0.579351,0.356388,0.576462,0.346802,0.474396,0.243968,0.209174,0.282755,0.064107,0.074965,0.1567,0.170407,0.317019,0.357309,0.336602,0.172807,0.296544,0.149368,0.417378,0.160817,0.198769,0.084952,0.441545,0.170443,0.918852,0.351719,0.263131,0.371861,0.490371,0.279473,0.302564,0.419212,0.236562,0.297646,0.284758,0.218875,0.125961,0.159767,0.015151,0.555556,0.152111,0.526316,0.140028,0,0.246085 +0,0,0,0,0,1,0.508199,0.225967,0.071164,0.659336,0.396559,0.207432,0.366926,0.248784,0.226975,0.049292,0.44322,0.395611,0.426339,0.444923,0.346468,0.373139,0.101281,0.082855,0.011211,0.061408,0.057038,0.078146,0.097921,0.167651,0.231828,0.442013,0.357558,0.220931,0.425627,0.47986,0.464831,0.221909,0.136287,0.175128,0.112364,0.179771,0.322307,0.254472,0.459992,0.606035,0.483558,0.537955,0.394176,0.290085,0.521951,0.53294,0.462624,0.163264,0.296873,0.236225,0.954613,0.481873,0.192087,0.204824,0.191191,0.196256,0.486893,0.569694,0.283855,0.24974,0.332987,0.354494,0.241111,0.106795,0.018492,0.238095,0.090919,0.225564,0.137595,0.154367,0.186805 +0,1,1,0,0,0,0.268391,0.180672,0.225206,0.528044,0.396136,0.314774,0.445251,0.722933,0.427675,0.467561,0.659212,0.488244,0.572284,0.796214,0.269296,0.503486,0.325809,0.382282,0.206309,0.311038,0.321575,0.410469,0.692858,0.532097,0.5525,0.61678,0.496301,0.281346,0.503571,0.529559,0.389874,0.312047,0.153514,0.233514,0.143243,0.221312,0.216752,0.249107,0.530619,0.527838,0.458887,0.229996,0.216247,0.105171,0.201285,0.187782,0.136736,0.107989,0.371862,0.387461,0.847722,0.400071,0.287861,0.362624,0.515618,0.361979,0.411134,0.353712,0.356645,0.162724,0.224895,0.308416,0.155774,0.103168,0.002621,0.063492,0.003437,0.481203,0.013321,0.009578,0.081526 +0,0,0,0,1,0,0.16059,0.0941,0.104374,0.705922,0.435163,0.366448,0.331545,0.506115,0.479597,0.558435,0.520667,0.313328,0.642739,0.418676,0.344974,0.486397,0.098668,0.235907,0.033325,0.05937,0.116129,0.149824,0.156646,0.172885,0.227532,0.284524,0.276298,0.164553,0.290861,0.317274,0.385195,0.262845,0.08174,0.115715,0.072385,0.109711,0.235391,0.202343,0.241854,0.216987,0.300987,0.284502,0.206268,0.156409,0.213728,0.249954,0.244096,0.159766,0.343236,0.362299,0.928565,0.51527,0.258205,0.264398,0.217405,0.199736,0.272294,0.35763,0.281596,0.136749,0.284455,0.249742,0.173308,0.311759,0.060446,0.031746,0.245911,0.030075,0.064353,0.271688,0.2099 +1,0,0,0,0,1,0.320856,0.484057,0.282193,0.684992,0.198043,0.728,0.383369,0.82804,0.627397,0.644455,0.63288,0.500037,0.457406,0.397454,0.246528,0.198595,0.495179,0.809033,0.241867,0.299457,0.239687,0.34321,0.170258,0.159554,0.097607,0.285533,0.162354,0.242558,0.434296,0.267112,0.286955,0.229516,0.102327,0.21813,0.110368,0.08979,0.158504,0.09327,0.033486,0.133191,0.121029,0.055722,0.01991,0.01799,0.031496,0.068934,0.127038,0.038832,0.194286,0.106356,0.84023,0.340462,0.194411,0.116955,0.031478,0.1162,0.077925,0.102287,0.027525,0.05218,0.05877,0.016755,0.033678,0.023303,0.283808,0.285714,0.289031,0.270677,0.328186,0.283433,0.390702 +0,0,1,1,1,0,0.137999,0.022546,0.069786,0.487701,0.546736,0.907693,0.682125,0.502735,0.822139,0.728857,0.43023,0.196864,0.253369,0.641606,0.352784,0.576123,0.068993,0.059503,0.077729,0.195613,0.167911,0.162151,0.310562,0.348826,0.419709,0.422652,0.667282,0.243563,0.324618,0.377809,0.335699,0.225139,0.081328,0.182961,0.190149,0.399615,0.332139,0.108321,0.328068,0.68675,0.6028,0.327068,0.647447,0.201142,0.211993,0.303347,0.189056,0.233436,0.431924,0.380497,0.897857,0.534177,0.350668,0.348555,0.59373,0.822487,0.675524,0.598646,1,0.262338,0.438022,0.332043,0.180667,0.309946,0.043088,0.222222,0.19204,0.210526,0.219069,0.301947,0.2791 +1,0,0,0,0,1,0.399917,0.358394,0.151093,0.813162,0.234127,0.556538,0.360651,0.53534,0.311273,0.675585,0.532089,0.405578,0.544812,0.585291,0.369926,0.286161,0.349738,0.465625,0.094155,0.171513,0.199971,0.148834,0.272598,0.202176,0.264862,0.431236,0.32813,0.189825,0.301642,0.27871,0.340389,0.25873,0.191928,0.361961,0.109252,0.072295,0.146618,0.08983,0.213979,0.249663,0.145727,0.164091,0.153527,0.07597,0.164386,0.13163,0.191498,0.148367,0.314353,0.278893,0.915759,0.42708,0.284356,0.156056,0.473276,0.173892,0.380157,0.306069,0.321366,0.128594,0.271881,0.173674,0.175825,0.213215,0.057412,0.698413,0,0.661654,0.075947,0.138382,0.155062 +1,0,0,0,1,0,0.508625,0.294587,0.222867,0.848358,0.353994,0.174329,0.536793,0.414545,0.039998,0.419841,0.351346,0.208295,0.363293,0.362416,0.499236,0.556693,0.299243,0.254982,0.14681,0.130052,0.315724,0.398478,0.462671,0.360932,0.564504,0.46635,0.357607,0.199563,0.34981,0.351203,0.415048,0.1995,0.247017,0.263119,0.206469,0.088666,0.178492,0.272302,0.317378,0.258412,0.203242,0.279659,0.178513,0.163449,0.239861,0.237716,0.246003,0.219773,0.499385,0.301151,0.868325,0.399164,0.310357,0.249226,0.388463,0.334865,0.437127,0.305945,0.20444,0.131594,0.310974,0.147768,0.099817,0.138205,0.543838,0.365079,0.780698,0.345865,0.58706,0,0.716881 +0,0,1,1,1,0,0.156621,0.033199,0.11611,0.401838,1,0.602263,0.188781,0.668436,0.309866,0.534015,0.405857,0.236937,0.280116,0.458852,0.308435,0.376188,0.021402,0.009356,0.109073,0.16488,0.225783,0.195162,0.28861,0.215808,0.218572,0.31735,0.246613,0.163028,0.305358,0.288815,0.211502,0.182559,0.044,0.080209,0.164318,0.343655,0.3926,0.516085,0.433448,0.270214,0.449151,0.366098,0.23687,0.122483,0.23087,0.223802,0.230514,0.155215,0.33558,0.229297,0.893414,0.590815,0.604355,0.426731,0.434409,0.230857,0.390386,0.548586,0.250041,0.178375,0.491,0.280871,0.150066,0.207654,0.049586,0.079365,0.005281,0.075188,0.268335,0.020171,0.141406 +0,1,1,0,0,0,0.323669,0.166863,0.074191,0.548308,0.413283,0.517229,0.332321,0.524367,0.351423,0.507598,0.46202,0.485504,0.408957,0.457985,0.357427,0.296912,0.1452,0.140734,0.039123,0.125008,0.151969,0.184531,0.090394,0.146264,0.103374,0.254578,0.24264,0.184058,0.272614,0.307645,0.460759,0.333664,0.18344,0.267491,0.165082,0.327038,0.338808,0.377761,0.176316,0.450666,0.225869,0.169791,0.183371,0.222502,0.267422,0.262107,0.348194,0.241465,0.340427,0.289066,0.925342,0.619911,0.644526,0.341166,0.137835,0.176032,0.077951,0.22454,0.199397,0.237612,0.318162,0.346001,0.363204,0.439812,0.010947,0.444444,0.024461,0.421053,0.049662,0.108362,0.091007 +1,0,0,0,0,1,0.66597,0.364217,0.098726,0.801719,0.259697,0.278368,0.461714,0.36873,0.14543,0.413004,0.499971,0.414724,0.712089,0.411767,0.347979,0.361461,0.171283,0.124408,0.056319,0.068327,0.08036,0.143112,0.318048,0.18567,0.227598,0.327734,0.262789,0.191358,0.292019,0.168696,0.278607,0.224871,0.077651,0.13293,0.0853,0.022388,0.126049,0.150214,0.258695,0.218585,0.211511,0.117443,0.083868,0.086509,0.143374,0.087343,0.102886,0.083268,0.280219,0.226645,0.925429,0.593824,0.155553,0.258986,0.276552,0.249773,0.226006,0.277836,0.160976,0.112227,0.141577,0.092625,0.085444,0.083698,0.070288,0.603175,0.095853,0.571429,0.185173,0.172159,0.34442 +0,1,1,0,0,0,0.40172,0.20456,0.173821,0.416559,0.473626,0.232453,0.623029,0.128845,0.514726,0.107634,0.340658,0.437125,0.189901,0.53591,0.431281,0.438349,0.156309,0.159111,0.064361,0.182659,0.159238,0.195718,0.341339,0.344786,0.524497,0.647705,0.592051,0.450237,0.932385,1,1,0.545212,0.103759,0.135716,0.103675,0.32052,0.201401,0.18192,0.414142,0.499265,0.544075,0.568489,0.59592,0.343941,0.600205,0.767868,0.577601,0.303015,0.30128,0.287359,0.905959,0.716329,0.33495,0.304003,0.477567,0.298918,0.846613,0.614671,0.632586,0.493094,0.939608,0.827757,0.471875,0.362282,0.055533,0.047619,0,0.458647,0.14766,0.03185,0.095281 +0,0,0,1,1,0,0.138847,0.017303,0.084369,0.553377,0.680466,0.580777,0.649262,0.613003,0.427062,0.285626,0.698423,0.51942,0.725401,0.240679,0.134906,0.364625,0.047157,0.033731,0.099722,0.173308,0.146809,0.200896,0.483238,0.315922,0.34926,0.544534,0.445802,0.291191,0.558695,0.482385,0.359351,0.249494,0.069425,0.07861,0.121815,0.283609,0.23795,0.274942,0.835789,0.541464,0.323757,0.385101,0.296608,0.318633,0.317419,0.357638,0.273924,0.180115,0.352307,0.257069,0.893458,0.581551,0.426835,0.392177,0.786466,0.531,0.452659,0.570205,0.465981,0.391843,0.635454,0.33012,0.149408,0.212134,0.016739,0.555556,0.015466,0.526316,0.168089,0.10006,0.174493 +1,1,0,0,0,0,0.26844,0.124615,0.064477,0.509988,0.528312,0.363158,0.567126,0.356138,0.412201,0.356005,0.566577,0.345331,0.439797,0.451558,0.333116,0.307064,0.07552,0.08024,0.040454,0.084366,0.080555,0.08525,0.0628,0.149947,0.176592,0.241289,0.302145,0.163957,0.329339,0.303916,0.341385,0.211494,0.050897,0.076623,0.119115,0.486063,0.258279,0.236377,0.351687,0.217893,0.238108,0.124328,0.202345,0.155826,0.252173,0.225531,0.261761,0.124101,0.320174,0.207678,0.920115,0.578612,0.324027,0.179488,0.131116,0.167372,0.219892,0.186873,0.176565,0.198511,0.211267,0.205484,0.117476,0.129701,0.043551,0.111111,0.084671,0.105263,0.164553,0.295608,0.23962 +0,0,0,0,0,1,0.523052,0.287381,0.158944,0.933247,0.290662,0.338507,0.3765,0.352129,0.202457,0.526003,0.551659,0.386398,0.62044,0.490524,0.365778,0.382087,0.379147,0.303635,0.107148,0.219157,0.288296,0.526986,0.743176,0.359085,0.48074,0.543749,0.389494,0.276073,0.353492,0.350879,0.401607,0.283344,0.136745,0.121506,0.102618,0.140243,0.220989,0.170761,0.53743,0.16037,0.369655,0.153685,0.151429,0.09892,0.099476,0.102624,0.122945,0.112997,0.32201,0.194519,0.908529,0.518198,0.308736,0.483605,0.708627,0.401717,0.890144,0.594254,0.338476,0.197304,0.201812,0.094844,0.084356,0.147776,0.097276,0.190476,0.06693,0.180451,0.369462,0.10945,0.24977 +1,0,0,0,0,1,0.231601,0.122423,0.133754,0.774025,0.343127,0.557581,0.610461,0.481952,0.270746,0.450701,0.770993,0.285587,0.94104,0.419071,0.327225,0.471441,0.122113,0.189979,0.091899,0.058362,0.093396,0.18865,0.42603,0.279546,0.200436,0.372293,0.276976,0.180764,0.24405,0.152098,0.253372,0.171232,0.050747,0.102184,0.068745,0.095299,0.046885,0.070365,0.302665,0.1906,0.138648,0.10883,0.139664,0.059349,0.11714,0.035274,0.076186,0.053959,0.298617,0.237692,0.900558,0.375272,0.141581,0.169649,0.249056,0.237941,0.191068,0.246089,0.15616,0.104465,0.074361,0.02845,0.067056,0.058783,0.085365,0.222222,0.144591,0.210526,0.242803,0.153749,0.208696 +0,0,0,0,1,1,0.285912,0.145666,0.245391,0.801454,0.370871,0.589518,0.494517,0.566453,0.404233,0.332309,0.608351,0.369151,0.671802,0.357194,0.300719,0.644634,0.260315,0.275576,0.134763,0.288962,0.345673,0.39195,0.565606,0.496846,0.650371,0.581854,0.595445,0.445037,0.48117,0.388861,0.419424,0.306281,0.089236,0.156984,0.190795,0.091251,0.232838,0.139571,0.50201,0.325077,0.514468,0.170497,0.129882,0.134644,0.193978,0.138119,0.174025,0.143835,0.442372,0.233585,0.875381,0.377185,0.318177,0.375988,0.280265,0.350857,0.53228,0.419939,0.343456,0.351955,0.224596,0.175165,0.153166,0.099925,0.075693,0.412698,0.002603,0.390977,0.208602,0.195962,0.215573 +0,1,0,0,0,0,0.418069,0.261398,0.084504,0.758538,0.258378,0.572787,0.489518,0.636672,0.444531,0.428851,0.489507,0.318713,0.466291,0.34747,0.27953,0.420729,0.193113,0.220567,0.04425,0.147749,0.169087,0.166797,0.06097,0.09832,0.10442,0.301724,0.281444,0.170924,0.362704,0.267373,0.511267,0.343058,0.157969,0.235358,0.154456,0.139624,0.204152,0.127212,0.099633,0.098119,0.122513,0.189141,0.104393,0.08164,0.20389,0.133318,0.288504,0.158117,0.297222,0.166442,0.916108,0.365808,0.207872,0.108024,0.194072,0.110315,0.196172,0.330832,0.143635,0.090407,0.457204,0.140155,0.314832,0.441041,0.081042,0.968254,0,0.917293,0.118929,0.200624,0.162495 +0,0,0,1,1,0,0.137546,0.017685,0.147196,0.489365,0.728105,0.652071,0.538656,0.535043,0.5386,0.720673,0.397432,0.409376,0.367262,0.688621,0.144727,0.607947,0.053913,0.041758,0.067629,0.137254,0.270407,0.218645,0.276294,0.300412,0.330436,0.47401,0.501989,0.242422,0.409091,0.46829,0.483235,0.317187,0.061584,0.106144,0.091464,0.259188,0.488019,0.265201,0.292017,0.499607,0.376573,0.444821,0.35526,0.13702,0.294512,0.258373,0.358404,0.174894,0.363159,0.319772,0.904739,0.522554,0.453269,0.255517,0.197164,0.252299,0.393738,0.485687,0.397795,0.252951,0.378662,0.309876,0.234055,0.183931,0.009706,0.619048,0.020973,0.586466,0.0729,0.063343,0.143942 +0,1,1,0,0,0,0.221018,0.125829,0.175673,0.636171,0.374229,0.5367,0.443909,0.388533,0.400902,0.329176,0.450092,0.335534,0.629748,0.610383,0.365428,0.445289,0.161134,0.188892,0.100932,0.168674,0.24387,0.230896,0.133842,0.198432,0.137921,0.27538,0.274092,0.233685,0.433426,0.580933,0.766817,0.47904,0.129016,0.244254,0.090994,0.138504,0.244921,0.095085,0.153084,0.168173,0.237503,0.104153,0.124729,0.098284,0.168759,0.235155,0.274645,0.127042,0.301243,0.29945,0.886401,0.446515,0.298415,0.174361,0.121881,0.174198,0.167232,0.207009,0.23308,0.157767,0.235918,0.248503,0.322752,0.286505,0.133697,0.333333,0.206725,0.315789,0.290841,0.193127,0.403205 +0,0,0,1,1,0,0.122595,0.023182,0.127259,0.491571,0.803194,0.542151,0.354469,0.673371,0.813474,0.631414,0.62619,0.313824,0.527451,0.204038,0.104277,0.098534,0.052576,0.058,0.108171,0.181941,0.354787,0.477195,0.253254,0.249042,0.185352,0.420025,0.20246,0.18115,0.361989,0.321913,0.40353,0.466227,0.041801,0.075195,0.154691,0.170448,0.285689,0.168927,0.229613,0.38286,0.259028,0.242536,0.130074,0.089637,0.152747,0.211469,0.198357,0.122208,0.346321,0.250686,0.883352,0.484264,0.513263,0.491371,0.263209,0.361918,0.447525,0.510841,0.17097,0.149736,0.211443,0.166376,0.185389,0.396196,0.048298,0.857143,0,0.81203,0.088928,0.204104,0.226557 +0,0,0,0,0,1,0.341664,0.178263,0.154471,0.482945,0.467036,0.368077,0.48037,0.357897,0.147832,0.339479,0.54111,0.436043,0.636197,0.232759,0.269422,0.340261,0.19393,0.196218,0.069697,0.160025,0.161459,0.201256,0.236193,0.29142,0.268902,0.457352,0.498237,0.256247,0.404879,0.353406,0.47926,0.294483,0.181148,0.281632,0.320183,0.469463,0.462508,0.453973,0.260558,0.484514,0.39699,0.41337,0.257235,0.208441,0.545947,0.334593,0.360616,0.19972,0.611116,0.521589,0.913538,0.664781,0.636001,0.44888,0.455563,0.434561,0.342795,0.568119,0.468031,0.261213,0.305209,0.207318,0.210346,0.198259,0.131247,0.603175,0,0.571429,0.205373,0.210217,0.230517 +0,0,0,0,0,1,0.280232,0.349473,0.237179,0.664788,0.280472,0.693597,0.435466,0.510179,0.320371,0.402864,0.499684,0.493887,0.294287,0.37532,0.425394,0.303015,0.281717,0.605125,0.113265,0.339625,0.373754,0.488245,0.6725,0.664899,0.533907,0.786505,0.632661,0.301816,0.503941,0.440329,0.518287,0.328525,0.098425,0.220616,0.191675,0.166607,0.198565,0.225724,0.355926,0.477048,0.245506,0.19648,0.101299,0.074385,0.137076,0.109356,0.116728,0.089111,0.291915,0.435737,0.878387,0.512652,0.258614,0.309618,0.489579,0.737636,0.466232,0.528353,0.30442,0.193474,0.231849,0.198199,0.171677,0.118863,0.09724,0.190476,0.113893,0.180451,0.09607,0.239824,0.168475 +0,1,1,0,0,0,0.147486,0.121335,0.21958,0.7129,0.422258,0.39124,0.559071,0.582783,0.47074,0.616079,0.575171,0.415901,0.57019,0.461074,0.379824,0.354128,0.130325,0.308545,0.16065,0.237027,0.322538,0.372312,0.37045,0.328839,0.13264,0.253458,0.308344,0.259529,0.278119,0.240529,0.354217,0.214371,0.028635,0.156009,0.15745,0.05162,0.160662,0.157259,0.193772,0.174179,0.166335,0.120281,0.17181,0.113061,0.164039,0.096009,0.09416,0.111972,0.313674,0.445188,0.847591,0.425668,0.184539,0.20563,0.188226,0.145186,0.123743,0.359609,0.192143,0.143798,0.175058,0.165137,0.072106,0.111993,0.045739,0.015873,0.107545,0.413534,0.121848,0.0019,0.201389 +0,0,1,1,1,0,0.098353,0.395352,0.172917,0.479537,0.537351,0.508741,0.519785,0.607586,0.159651,0.528995,0.487293,0.410302,0.533254,0.707778,0.301952,0.778103,0.149894,0.779818,0.107181,0.208936,0.235514,0.348319,0.503134,0.325529,0.34548,0.489258,0.422775,0.264696,0.33111,0.296294,0.354195,0.256976,0.034914,0.634517,0.095808,0.176786,0.284849,0.221333,0.409789,0.356079,0.298148,0.254188,0.182657,0.162353,0.194116,0.166752,0.218936,0.112214,0.412258,0.468578,0.884964,0.488498,0.282855,0.328574,0.473372,0.215718,0.385273,0.572115,0.294695,0.143283,0.164806,0.18518,0.118449,0.114623,0.034871,0.333333,0.023065,0.315789,0.075494,0.004212,0.073327 +0,1,1,0,0,0,0.193174,0.375234,0.200343,0.604994,0.400787,0.646079,0.396886,0.518437,0.292752,0.600803,0.534642,0.401633,0.371837,0.577953,0.252297,0.542436,0.252327,0.614073,0.161707,0.374244,0.291705,0.511382,0.621352,0.530875,0.41383,0.699741,0.403596,0.367068,0.338037,0.316364,0.525653,0.241101,0.082395,0.795485,0.259598,0.158377,0.246044,0.223215,0.237011,0.598568,0.267354,0.227476,0.178673,0.110877,0.123913,0.231531,0.257622,0.120365,0.473568,0.633771,0.869457,0.489111,0.260027,0.393622,0.530007,0.420334,0.506269,0.42475,0.270633,0.361531,0.209265,0.187304,0.294255,0.125073,0.042765,0.253968,0.115079,0.75188,0.118891,0.115283,0.262654 +0,0,1,0,0,0,0.153738,0.059205,0.105447,0.544262,0.483538,0.602109,0.461999,0.548696,0.439071,0.502013,0.603348,0.35512,0.39225,0.336947,0.287653,0.237788,0.108719,0.151749,0.10223,0.200406,0.233092,0.190414,0.166084,0.21083,0.152274,0.305261,0.281089,0.20765,0.329628,0.238194,0.27516,0.314238,0.042016,0.162077,0.19056,0.249203,0.206458,0.363932,0.469586,0.286372,0.263743,0.189818,0.181574,0.117875,0.208386,0.153498,0.217561,0.131829,0.348304,0.393891,0.907309,0.522457,0.328872,0.253789,0.208888,0.340878,0.307003,0.583974,0.526891,0.357519,0.479926,0.340888,0.189245,0.603678,0.00985,0.507937,0.036489,0.481203,0.106725,0.02741,0.150848 +1,1,1,0,0,0,0.370853,0.187212,0.069492,0.560177,0.486761,0.315762,0.477004,0.394631,0.317904,0.229073,0.344019,0.48002,0.462748,0.447991,0.285369,0.315612,0.09616,0.088262,0.033512,0.075238,0.070184,0.0669,0.081847,0.163529,0.19259,0.269946,0.350614,0.272084,0.370023,0.427703,0.427654,0.243113,0.078044,0.106181,0.075907,0.522395,0.436287,0.198061,0.46086,0.466538,0.19714,0.245143,0.315734,0.265808,0.286672,0.389424,0.238665,0.1634,0.27662,0.178263,0.937015,0.494855,0.220598,0.072698,0.107524,0.161068,0.234225,0.325929,0.258063,0.303293,0.286998,0.303795,0.187329,0.153542,0.059787,0.142857,0.221758,0.135338,0.304481,0.369567,0.380205 +0,0,0,0,1,0,0.145666,0.077597,0.136872,0.809439,0.511055,0.237689,0.592731,0.578463,0.29529,0.310293,0.558771,0.483098,0.732181,0.418424,0.362,0.427195,0.084481,0.103517,0.125246,0.137867,0.282283,0.247374,0.21905,0.208153,0.148131,0.23532,0.194167,0.131804,0.219162,0.260152,0.239061,0.158103,0.054743,0.076124,0.054773,0.015036,0.15091,0.124489,0.211403,0.188304,0.12438,0.202359,0.125672,0.091497,0.196995,0.171343,0.182447,0.094837,0.30655,0.183713,0.899904,0.522704,0.106941,0.211134,0.144764,0.17744,0.114847,0.260199,0.131352,0.13624,0.119031,0.125141,0.088788,0.046924,0.009192,0.222222,0.026767,0.210526,0.048249,0.079646,0.056438 +1,1,0,0,0,0,0.442128,0.338509,0.146959,0.887943,0.141077,0.52091,0.477504,0.535068,0.605487,0.508555,0.607718,0.436226,0.732544,0.617112,0.332792,0.438546,0.28155,0.301456,0.099722,0.120617,0.165327,0.189417,0.236622,0.305531,0.316008,0.540156,0.301445,0.195759,0.333987,0.226106,0.296809,0.202103,0.182196,0.319431,0.166549,0.100401,0.165655,0.081331,0.216136,0.15366,0.268035,0.167368,0.081205,0.108962,0.162902,0.051464,0.115098,0.084502,0.243073,0.15465,0.928217,0.337468,0.273566,0.191167,0.218869,0.251286,0.263489,0.407629,0.209104,0.121323,0.153268,0.119199,0.095446,0.111231,0.125462,0.761905,0.008966,0.721805,0.021898,0.29792,0.164329 +0,0,0,0,0,1,0.470193,0.458552,0.255298,0.635612,0.219416,0.591525,0.145565,0.666515,0.421307,0.632335,0.5827,0.410319,0.629417,0.467865,0.413649,0.452754,0.743035,0.737013,0.178056,0.387252,0.508154,0.911649,0.512093,0.482326,0.264258,0.292485,0.185839,0.122223,0.186591,0.18333,0.168421,0.10884,0.15037,0.35539,0.024246,0.170555,0.108299,0.226257,0.147316,0.196088,0.052627,0.028389,0.007409,0.005715,0.022086,0.011566,0.030141,0.015315,0.369402,0.149376,0.850335,0.295284,0.088524,0.531234,0.148764,0.277118,0.093966,0.167414,0.096502,0.034683,0.074024,0.033818,0.020839,0.020114,0.141696,0.253968,0.159773,0.240602,0.188446,0.201801,0.209003 +0,0,1,0,0,0,0.563422,0.329891,0.291411,0.551339,0.210407,0.401898,0.489522,0.46944,0.206084,0.327656,0.974602,0.534646,0.444324,0.293733,0.335887,0.536464,0.531344,0.380915,0.244595,0.277795,0.355819,0.609155,0.602659,0.497698,0.687224,0.698461,0.710884,0.477403,0.536283,0.496975,0.558931,0.336593,0.116289,0.120572,0.167606,0.221219,0.206055,0.314065,0.569485,0.467406,0.503392,0.275196,0.242223,0.198391,0.172494,0.196805,0.269264,0.138515,0.363471,0.177313,0.822546,0.469831,0.222142,0.450884,0.411756,0.401754,0.760969,0.470348,0.507168,0.334048,0.338061,0.214685,0.140053,0.188492,0.25002,0.253968,0.347182,0.240602,0.280406,0.398666,0.35504 +0,0,1,0,0,0,0.341875,0.130637,0.1148,0.442004,0.543993,0.27828,0.420637,0.304638,0.391427,0.390675,0.588218,0.198021,0.30714,0.339913,0.381435,0.475436,0.105034,0.071278,0.046241,0.146312,0.212971,0.145632,0.230437,0.248412,0.41363,0.695965,0.639713,0.471843,0.737825,0.828863,0.93228,0.451197,0.117131,0.135559,0.144065,0.377102,0.418875,0.2079,0.443791,0.415392,0.435235,0.60054,0.322752,0.25613,0.430651,0.425959,0.374325,0.258032,0.285764,0.190835,0.927825,0.491804,0.415849,0.160448,0.252669,0.251494,0.72614,0.820787,0.62506,0.520099,0.501851,0.68103,0.381677,0.33286,0.023315,0.253968,0.02308,0.240602,0.108157,0.111843,0.185092 +0,0,1,0,0,0,0.291225,0.093976,0.099065,0.417811,0.71551,0.272893,0.421158,0.417071,0.307482,0.274722,0.4379,0.245137,0.528406,0.161563,0.322374,0.280572,0.062967,0.038813,0.051324,0.107643,0.146527,0.115073,0.135543,0.173674,0.14692,0.374265,0.451829,0.320145,0.486069,0.486433,0.541556,0.273199,0.130288,0.132971,0.075613,0.257345,0.474043,0.213275,0.282992,0.285586,0.230454,0.240013,0.389925,0.384456,0.442391,0.417147,0.296842,0.151459,0.288959,0.211409,0.906438,0.640608,0.467153,0.18345,0.120509,0.179611,0.162892,0.357142,0.351948,0.276782,0.530434,0.360184,0.265581,0.15189,0.012564,0.31746,0.019418,0.300752,0.061747,0.070753,0.111562 +0,0,1,0,1,0,0.256146,0.140532,0.261578,0.776662,0.478951,0.391945,0.479863,0.602591,0.168417,0.469287,0.692587,0.264401,0.610716,0.279744,0.230913,0.036556,0.272063,0.269152,0.172048,0.279758,0.433503,0.533856,0.7867,0.474348,0.628469,0.554936,0.468736,0.389014,0.385425,0.392277,0.543269,0.320593,0.067292,0.08661,0.071504,0.105816,0.196045,0.273587,0.349392,0.398104,0.341837,0.27384,0.179819,0.135077,0.141523,0.176867,0.174678,0.140151,0.376545,0.279808,0.83435,0.509987,0.443764,0.42607,0.505711,0.250728,0.558955,0.430302,0.293155,0.294646,0.291167,0.256491,0.130004,0.144344,0.001761,0.126984,0.004205,0.120301,0.011551,0.028624,0.022775 +1,0,0,0,0,1,0.538445,0.366025,0.130332,0.932269,0.258736,0.323266,0.541559,0.495988,0.098591,0.735268,0.485606,0.327964,0.484994,0.363673,0.410297,0.215185,0.307237,0.278825,0.048541,0.133588,0.165298,0.31689,0.273966,0.240329,0.248464,0.336804,0.338496,0.164812,0.278058,0.274523,0.294226,0.211477,0.170517,0.213106,0.11753,0.215277,0.192034,0.232229,0.332905,0.166618,0.260325,0.152957,0.082749,0.095992,0.189461,0.138815,0.111122,0.079803,0.293513,0.341766,0.917937,0.751106,0.278234,0.411319,0.362039,0.23193,0.237982,0.252636,0.205898,0.066951,0.111955,0.089006,0.08462,0.07735,0.073945,0.555556,0.066767,0.526316,0.221346,0.14368,0.265365 +0,0,1,1,1,0,0.227702,0.089744,0.071695,0.585097,0.606343,0.364547,0.535238,0.549203,0.242482,0.533748,0.603385,0.494939,0.666328,0.346039,0.276401,0.370556,0.144128,0.119924,0.048156,0.189362,0.283685,0.321462,0.321377,0.359038,0.374986,0.517267,0.337889,0.264962,0.42267,0.325079,0.326772,0.263668,0.143015,0.190748,0.122109,0.321557,0.464539,0.351803,0.325927,0.598496,0.488793,0.307189,0.244531,0.196199,0.269049,0.193248,0.179402,0.16085,0.442978,0.29874,0.924253,0.396419,0.594969,0.487373,0.372881,0.439588,0.502161,0.540779,0.17412,0.293534,0.296103,0.217645,0.0909,0.179715,0.012588,0.079365,0.030855,0.503759,0.126894,0.12548,0.1688 +0,0,1,1,1,0,0.19799,0.066772,0.103967,0.574514,0.515192,0.686254,0.464583,0.600516,0.369436,0.356694,0.635398,0.393429,0.937932,0.719886,0.284708,0.29457,0.192921,0.155106,0.093814,0.166826,0.31151,0.205295,0.228893,0.2553,0.303913,0.477749,0.412323,0.339553,0.428062,0.325692,0.460614,0.391683,0.097499,0.120604,0.163379,0.143277,0.154806,0.183946,0.229012,0.256792,0.29693,0.181491,0.248831,0.14517,0.210752,0.150665,0.130726,0.098283,0.645287,0.427131,0.908877,0.484954,0.451122,0.35854,0.232442,0.266158,0.450213,0.58326,0.429197,0.252368,0.332814,0.184855,0.172909,0.323149,0.050359,0.222222,0.128201,0.210526,0.241636,0.230931,0.255996 +0,0,0,0,0,1,0.331157,0.350623,0.260257,0.594814,0.21886,0.776779,0.618898,0.785221,0.351303,0.60244,0.532502,0.358673,0.757159,0.406868,0.363921,0.456488,0.377859,0.621741,0.113408,0.354285,0.402901,0.516341,0.67348,0.688789,0.545746,0.763764,0.840669,0.339318,0.431176,0.443688,0.423335,0.270791,0.296875,0.337306,0.094106,0.202575,0.169087,0.172971,0.359782,0.403089,0.179133,0.214631,0.251112,0.075402,0.082118,0.094571,0.089521,0.084985,0.738235,0.480224,0.867933,0.393614,0.492334,0.320341,0.350964,0.434753,0.371796,0.401023,0.439876,0.138765,0.147948,0.20358,0.124,0.117877,0.035299,0.698413,0.043908,0.661654,0.037336,0.39157,0.298157 +0,1,1,0,0,0,0.260168,0.119318,0.107808,0.40215,0.588583,0.239579,0.522322,0.364985,0.450277,0.356573,0.576083,0.303307,0.605831,0.579716,0.345099,0.316092,0.09499,0.088333,0.043876,0.139636,0.102224,0.101369,0.142055,0.207122,0.219705,0.379376,0.39075,0.273347,0.471525,0.468433,0.505815,0.29419,0.106791,0.159715,0.099977,0.326305,0.329732,0.180619,0.23189,0.448904,0.322597,0.253292,0.204516,0.213063,0.3716,0.295022,0.275036,0.164297,0.336608,0.416489,0.909661,0.659391,0.275231,0.202816,0.222612,0.275904,0.246451,0.302515,0.221934,0.289712,0.454404,0.39867,0.296535,0.223148,0.053659,0.333333,0,0.315789,0.31904,0.178057,0.259206 +0,0,0,0,0,1,0.396769,0.38496,0.249379,0.646972,0.175417,0.624912,0.483857,0.497741,0.463463,0.727042,0.608795,0.430258,0.929383,0.509304,0.516635,0.41135,0.439916,0.613266,0.153708,0.3848,0.417711,0.627887,0.580383,0.568792,0.553307,0.708534,0.591981,0.28863,0.46922,0.391261,0.54595,0.340584,0.296417,0.251168,0.167078,0.080259,0.259634,0.179655,0.279349,0.321883,0.284457,0.203239,0.09958,0.098714,0.081801,0.102104,0.177796,0.093848,0.390573,0.260331,0.85321,0.449803,0.323452,0.435784,0.417111,0.363424,0.423826,0.436738,0.369058,0.145734,0.220288,0.093491,0.167989,0.20284,0.052199,0.015873,0.022179,0.015038,0.32733,0.036531,0.200802 +0,1,1,0,0,0,0.18176,0.472608,0.290755,0.623036,0.293872,0.772405,0.503122,0.704976,0.425843,0.56042,0.454273,0.29025,0.368444,0.366858,0.301929,0.163357,0.271747,0.814033,0.168792,0.302788,0.366488,0.613287,0.588656,0.621505,0.552606,0.711172,0.588627,0.342314,0.503373,0.52322,0.457189,0.335376,0.143006,0.500862,0.123811,0.132068,0.185852,0.326658,0.284099,0.52566,0.22579,0.201312,0.134988,0.069518,0.121268,0.132438,0.118869,0.074396,0.401039,0.334333,0.858873,0.393533,0.21369,0.437626,0.342345,0.399942,0.425802,0.51695,0.268594,0.256284,0.18169,0.211312,0.111028,0.097538,0.189903,0.142857,0.199901,0.135338,0.310744,0.202859,0.306637 +1,0,0,0,0,1,0.271561,0.367226,0.374142,0.794176,0.290052,0.563757,0.340722,0.587574,0.484907,0.577471,0.63341,0.464919,0.62595,0.450829,0.345182,0.388137,0.396988,0.709315,0.263431,0.226269,0.178181,0.229559,0.27744,0.116869,0.136475,0.037913,0.087447,0.01671,0.087483,0.071152,0.060274,0.056813,0.107334,0.125817,0.397675,0.071179,0.162596,0.15073,0.0808,0.104626,0.114129,0.028392,0.017539,0.025428,0.035469,0.026897,0.031493,0.022914,0.219037,0.358703,0.801028,0.388553,0.120915,0.202878,0.093114,0.096759,0.092094,0.101081,0.143452,0.054749,0.057416,0.003477,0.022458,0.012167,0.053909,0.285714,0.11051,0.270677,0.073152,0.159844,0.195858 +1,0,0,0,0,1,0.278628,0.218104,0.121487,0.845143,0.185814,0.547455,0.53696,0.63077,0.391053,0.648148,0.615135,0.451711,0.604451,0.362024,0.39158,0.39046,0.201225,0.310308,0.084638,0.130812,0.155081,0.323788,0.349561,0.379179,0.413762,0.537179,0.350198,0.254745,0.387303,0.342924,0.454961,0.342018,0.10652,0.220154,0.20553,0.061671,0.24937,0.183292,0.272633,0.313247,0.292755,0.204061,0.131262,0.110135,0.166973,0.158292,0.125399,0.10361,0.352693,0.253256,0.913102,0.367045,0.142014,0.349002,0.244248,0.345803,0.421177,0.421896,0.167041,0.173706,0.224615,0.145404,0.142401,0.16808,0.027217,0.52381,0,0.496241,0.114369,0.015262,0.062466 +0,0,1,0,0,0,0.086674,0.375934,0.174148,0.551415,0.517186,0.594533,0.261276,0.674029,0.124604,0.606803,0.598694,0.482165,0.695345,0.396849,0.328693,0.53234,0.132901,0.799274,0.125686,0.250005,0.212541,0.323103,0.33395,0.261181,0.405036,0.656567,0.326992,0.404021,0.328826,0.42716,0.39127,0.247979,0.058926,0.57559,0.125514,0.171608,0.179594,0.210013,0.299016,0.208943,0.231349,0.309879,0.067245,0.230153,0.142659,0.179641,0.159025,0.090297,0.43701,0.55632,0.883875,0.455238,0.193227,0.231573,0.140712,0.134835,0.330835,0.566572,0.129406,0.241257,0.189937,0.160295,0.167199,0.147468,0.023315,0.619048,0,0.586466,0.040314,0.137938,0.083766 +1,0,0,0,0,1,0.534293,0.349494,0.058388,0.913047,0.278973,0.466734,0.380714,0.327105,0.364173,0.119115,0.525284,0.351386,0.613029,0.292268,0.437996,0.571198,0.140332,0.146958,0.030783,0.016233,0.022399,0.073296,0.136776,0.164753,0.201003,0.277516,0.237197,0.1325,0.213974,0.211106,0.300118,0.168775,0.085418,0.148217,0.121756,0.00966,0.09651,0.121586,0.204361,0.234499,0.261923,0.174754,0.144705,0.138966,0.124336,0.118979,0.127987,0.093524,0.266613,0.164406,0.940718,0.436658,0.193504,0.126522,0.163099,0.137523,0.206954,0.268716,0.131374,0.103628,0.125767,0.088939,0.071735,0.058452,0.034318,0.365079,0.281795,0.345865,0.072505,0.263845,0.427645 +0,0,0,0,0,1,0.337653,0.227758,0.205438,0.851343,0.314655,0.470137,0.422247,0.425715,0.373603,0.48527,0.532172,0.388277,0.371685,0.372143,0.345983,0.363944,0.291366,0.343097,0.096949,0.149073,0.271513,0.316334,0.556047,0.443004,0.380635,0.544066,0.474054,0.264596,0.479725,0.397911,0.502165,0.259897,0.091126,0.143735,0.155395,0.088218,0.132597,0.159857,0.336084,0.280277,0.209893,0.218018,0.076815,0.096155,0.134677,0.134291,0.231832,0.043301,0.248214,0.213257,0.890321,0.312412,0.169455,0.264938,0.466514,0.39497,0.304613,0.307694,0.194972,0.151149,0.197236,0.113745,0.159389,0.136157,0.091427,0.52381,0.022562,0.496241,0.249892,0.040713,0.23479 +0,0,1,0,0,0,0.376943,0.184548,0.263047,0.675901,0.329264,0.475308,0.380144,0.685533,0.688897,0.720584,0.626065,0.389743,0.745359,0.568707,0.341839,0.542036,0.421969,0.353452,0.15592,0.444405,0.352089,0.359102,0.496197,0.434433,0.329448,0.585034,0.480953,0.273644,0.499896,0.327352,0.500663,0.345752,0.175215,0.229822,0.095926,0.303574,0.333885,0.260645,0.437876,0.438307,0.283715,0.320737,0.162789,0.126366,0.21477,0.149832,0.169768,0.140768,0.571418,0.331458,0.868063,0.385692,0.439154,0.516944,0.570067,0.596361,0.330784,0.68006,0.302788,0.202092,0.321177,0.148547,0.215439,0.224017,0.030737,0.349206,0.016232,0.330827,0.127408,0.220553,0.215333 +0,0,0,1,1,0,0.073516,0.006444,0.064985,0.569578,0.485708,0.574921,0.449156,0.624553,0.499157,0.806064,0.658378,0.37558,0.562982,0.538298,0.317558,0.174411,0.049808,0.068569,0.055153,0.113223,0.15959,0.132052,0.198355,0.266137,0.285045,0.171058,0.333167,0.157931,0.239635,0.21269,0.285863,0.220774,0.112443,0.131317,0.101385,0.306394,0.248436,0.17712,0.361032,0.353705,0.276932,0.168125,0.330667,0.113338,0.300497,0.247557,0.182578,0.148397,0.446778,0.338134,0.913886,0.598316,0.408406,0.274587,0.430161,0.413175,0.44979,0.21734,0.522866,0.144865,0.213561,0.092858,0.080796,0.159282,0.020117,0.761905,0,0.721805,0.123762,0.234353,0.21986 +0,0,1,1,0,0,0.063036,0.018091,0.120098,0.589058,0.508815,0.548251,0.726329,0.702365,0.34189,0.601022,0.470106,0.416053,0.70873,0.514808,0.318528,0.35766,0.044767,0.147847,0.105674,0.143859,0.227457,0.173568,0.425433,0.234506,0.255481,0.332379,0.297597,0.131831,0.260324,0.278416,0.263283,0.180546,0.028897,0.102632,0.093225,0.126856,0.14844,0.321208,0.507958,0.251585,0.281088,0.253944,0.17535,0.109079,0.144105,0.170373,0.165189,0.139683,0.361451,0.530618,0.908877,0.466773,0.216934,0.180936,0.339378,0.344337,0.447831,0.466302,0.234392,0.088463,0.257705,0.215722,0.03955,0.116846,0.059318,0.190476,0.041141,0.180451,0.102429,0.154028,0.168247 +1,0,0,0,0,1,0.075687,0.435124,0.39897,0.634623,0.330407,0.686147,0.470661,0.690273,0.40962,0.512572,0.604148,0.481688,0.603817,0.444555,0.34737,0.427207,0.10761,0.820968,0.295479,0.262798,0.38041,0.281499,0.23722,0.088916,0.090797,0.276382,0.087223,0.041806,0.111083,0.100262,0.123373,0.109136,0.036018,0.582832,0.032699,0.078772,0.039718,0.097517,0.138148,0.067371,0.093713,0.048277,0.047099,0.01497,0.013704,0.037041,0.048625,0.030206,0.375994,0.736055,0.740788,0.419523,0.018955,0.07384,0.176959,0.09962,0.108837,0.093421,0.026217,0.082565,0.034647,0.026019,0.014659,0.033458,0.479457,0.285714,0.556311,0.270677,0.484615,0.545537,0.578085 +0,0,0,1,1,0,0.244343,0.113568,0.09292,0.391957,0.538775,0.473877,0.489317,0.582846,0.507455,0.505833,0.545104,0.322183,0.786701,0.426235,0.356696,0.508085,0.265598,0.204142,0.090865,0.177178,0.327041,0.393065,0.258948,0.321632,0.216419,0.492008,0.259077,0.17747,0.314481,0.184895,0.303774,0.134185,0.224399,0.271049,0.296583,0.197701,0.370027,0.236228,0.231235,0.251877,0.366455,0.401747,0.204558,0.13909,0.245074,0.177427,0.211492,0.178155,0.89666,0.489692,0.923992,0.636191,0.647622,0.630936,0.330619,0.438138,0.341457,0.631943,0.227101,0.144131,0.42854,0.080179,0.169392,0.113887,0.026563,0.428571,0.063997,0.406015,0.08525,0.069695,0.226155 +0,1,1,0,0,0,0.214442,0.650777,0.465299,0.482571,0.32594,0.459216,0.533368,0.503863,0.532684,0.649365,0.637362,0.486073,0.62899,0.496387,0.471979,0.693362,0.384621,0.855703,0.503823,0.608495,0.597357,0.530897,0.441402,0.389286,0.40229,0.596336,0.509795,0.228127,0.563097,0.424295,0.31449,0.228077,0.209231,0.598415,0.251673,0.263062,0.233851,0.179114,0.24387,0.352615,0.199723,0.179894,0.219194,0.076021,0.147974,0.133943,0.095093,0.080285,0.603992,0.320376,0.765877,0.51985,0.350672,0.359766,0.443449,0.297686,0.430449,0.619841,0.401481,0.30942,0.603319,0.357504,0.121387,0.126805,0.032811,0.301587,0.068366,0.285714,0.071335,0.12525,0.144511 +0,0,1,0,0,1,0.298541,0.241755,0.280612,0.631298,0.34444,0.664489,0.476055,0.714195,0.329396,0.670956,0.505388,0.407833,0.510055,0.540249,0.338143,0.20328,0.347899,0.487808,0.16141,0.352155,0.391093,0.507678,0.626769,0.628277,0.590085,0.70029,0.761487,0.344936,0.700613,0.552716,0.539969,0.29972,0.102056,0.321945,0.158272,0.122457,0.156203,0.219524,0.255059,0.352946,0.298271,0.202995,0.125239,0.079098,0.314542,0.135284,0.129211,0.068294,0.420962,0.365144,0.899425,0.405577,0.263641,0.375823,0.321746,0.377294,0.398859,0.333488,0.397743,0.16765,0.386298,0.15012,0.133265,0.096434,0.008211,0.555556,0,0.526316,0.021007,0.041967,0.023756 +0,0,1,0,0,0,0.286597,0.137196,0.264436,0.343541,0.472775,0.218568,0.81226,0.413801,0.516279,0.484785,0.691701,0.397858,0.447886,0.568994,0.401207,0.530098,0.273754,0.198496,0.212745,0.466368,0.239491,0.721185,0.601152,0.476589,0.655941,0.946479,0.489218,0.342537,0.388413,0.412,0.477184,0.306935,0.080627,0.09185,0.103205,0.294257,0.133959,0.281458,0.245392,0.326734,0.280019,0.235577,0.238891,0.13789,0.102473,0.123427,0.200295,0.153145,0.257634,0.191932,0.831606,0.416279,0.221748,0.574363,0.193011,0.306817,0.568895,0.561449,0.279188,0.20406,0.192518,0.130541,0.159735,0.153878,0.024765,0.333333,0.377946,0.315789,0.0762,0.096021,0.290293 +0,0,0,0,0,1,0.312481,0.262567,0.217005,0.799428,0.306849,0.617013,0.381821,0.491815,0.38268,0.202026,0.604818,0.534693,0.462573,0.517297,0.408152,0.407822,0.323549,0.475529,0.11068,0.219914,0.27492,0.353384,0.448291,0.43052,0.371525,0.52757,0.681835,0.290045,0.438695,0.367678,0.355849,0.229745,0.071821,0.198373,0.102912,0.010385,0.083052,0.079162,0.25704,0.250242,0.174791,0.123787,0.142906,0.075471,0.163695,0.1283,0.107707,0.076943,0.290887,0.26432,0.894547,0.529214,0.13959,0.249354,0.248376,0.258781,0.31416,0.194285,0.202454,0.164972,0.195011,0.093469,0.059264,0.064168,0.047595,0.190476,0,0.180451,0.113591,0,0.048005 +1,1,0,0,0,0,0.374902,0.213839,0.117387,0.801585,0.386146,0.216054,0.392757,0.503887,0.503704,0.47273,0.62249,0.377408,0.597172,0.666389,0.331898,0.528219,0.182343,0.157265,0.049333,0.040584,0.084339,0.152586,0.171144,0.231508,0.306684,0.294418,0.295209,0.192634,0.257155,0.273689,0.254886,0.202977,0.036795,0.081979,0.182517,0.056362,0.044586,0.154759,0.147323,0.225726,0.305088,0.143941,0.096251,0.08315,0.117248,0.147733,0.103106,0.076864,0.347607,0.322682,0.920289,0.427535,0.19551,0.275092,0.191316,0.280792,0.472306,0.254367,0.206151,0.242197,0.146924,0.145993,0.074901,0.171026,0.063187,0.349206,0.061131,0.330827,0.163172,0.182846,0.22929 +0,1,1,0,0,0,0.335822,0.162384,0.079365,0.711839,0.365118,0.561398,0.412588,0.66133,0.460056,0.357483,0.524834,0.296646,0.377379,0.311463,0.26321,0.281663,0.173977,0.17485,0.049388,0.207874,0.246208,0.203339,0.111704,0.143713,0.108809,0.223586,0.29645,0.188633,0.354375,0.28972,0.528569,0.423953,0.143352,0.226333,0.098802,0.163978,0.351232,0.266257,0.202769,0.19346,0.177825,0.143182,0.147131,0.105581,0.167156,0.146451,0.25813,0.213847,0.392721,0.273032,0.922467,0.44135,0.563823,0.270903,0.130288,0.129682,0.147489,0.266465,0.192773,0.10338,0.333424,0.392066,0.532198,0.585163,0.032402,0.968254,0,0.917293,0.172777,0.148325,0.184223 +0,0,0,1,1,0,0.134668,0.023679,0.051057,0.452106,0.601682,0.704347,0.517449,0.667186,0.434881,0.529224,0.600888,0.327304,0.518655,0.516706,0.302514,0.666874,0.074015,0.051263,0.035921,0.136179,0.211175,0.250487,0.324242,0.350462,0.404371,0.501827,0.409995,0.255415,0.49468,0.301821,0.410091,0.253544,0.076416,0.084077,0.144065,0.353927,0.544899,0.368086,0.585693,0.704805,0.652798,0.467445,0.397242,0.190284,0.549447,0.281728,0.311716,0.230306,0.45875,0.293847,0.924166,0.544899,0.614444,0.440837,0.520412,0.572546,0.702428,0.711254,0.448938,0.269286,0.685639,0.334414,0.25094,0.254852,0.016321,0.142857,0,0.593985,0.056573,0.018668,0.030318 +0,1,1,0,0,0,0.497719,0.265469,0.296494,0.101534,0.299624,0.60067,0.495526,0.719816,0.418273,0.803237,0.626049,0.567001,0.816851,0.527192,0.463439,0.673417,0.648993,0.493304,0.196121,0.376464,0.444329,0.527225,0.529732,0.405502,0.570644,0.660605,0.618655,0.3579,0.497173,0.480208,0.433138,0.305494,0.144419,0.169388,0.000881,0.281061,0.206838,0.190463,0.294202,0.260534,0.300921,0.243856,0.178244,0.156483,0.180964,0.105981,0.154652,0.09954,0.313197,0.106197,0.858829,0.581838,0.26878,0.259038,0.292605,0.24349,0.4323,0.476522,0.234236,0.228157,0.401564,0.239693,0.13619,0.258842,0.1756,0.031746,0.096293,0.43609,0.272677,0.070782,0.262366 +0,0,0,1,1,0,0.202942,0.183536,0.034836,0.310933,0.440012,0.624974,0.649808,0.495459,0.24645,0.598749,0.543027,0.29476,0.014565,0.592587,0.542015,0.263759,0.092655,0.217596,0.024886,0.118116,0.168749,0.02523,0.086308,0.060491,0.030693,0.115229,0.124337,0.072717,0.278187,0.23809,0.266435,0.316411,0.341465,0.766056,0.13931,0.340163,0.482588,0.215465,0.586705,0.360166,0.543083,0.306824,0.433855,0.291985,0.71277,0.60842,0.423883,0.448378,0.385395,0.783768,0.937233,0.76757,0.319687,0.15736,0.331732,0.235711,0.539951,0.559856,0.452804,0.211722,0.566006,0.494589,0.401732,0.704047,0.027771,0.079365,0,0.503759,0.078987,0.055304,0.086738 +1,0,0,0,0,1,0.442679,0.331386,0.089249,0.777229,0.169083,0.43807,0.443036,0.449248,0.461741,0.52678,0.67873,0.586617,0.952998,0.473921,0.367985,0.522894,0.252562,0.252068,0.042831,0.091192,0.09642,0.204418,0.19234,0.208833,0.16487,0.335541,0.292417,0.239459,0.353859,0.26434,0.25204,0.205154,0.135632,0.230002,0.088529,0.090799,0.141712,0.292978,0.252208,0.317283,0.2699,0.182212,0.147602,0.152996,0.24247,0.166704,0.119462,0.098616,0.239566,0.194684,0.936754,0.474855,0.304031,0.362414,0.298105,0.257397,0.151355,0.345959,0.176584,0.164238,0.35803,0.148978,0.131521,0.109754,0.15305,0.507937,0.013781,0.481203,0.32444,0.102533,0.229085 +0,0,1,0,0,0,0.131893,0.045767,0.099923,0.581662,0.548573,0.452879,0.55203,0.521448,0.4389,0.700631,0.684924,0.479633,0.567881,0.181167,0.365051,0.519963,0.067259,0.088243,0.087047,0.23102,0.24947,0.293764,0.159421,0.18039,0.159708,0.134988,0.127172,0.097445,0.169212,0.213534,0.204891,0.103904,0.075274,0.135056,0.167195,0.244155,0.35317,0.288476,0.148504,0.257801,0.266024,0.173188,0.065021,0.07962,0.111593,0.16345,0.137789,0.095115,0.339491,0.332479,0.898685,0.466986,0.44317,0.306046,0.168196,0.300815,0.354465,0.324746,0.164912,0.134505,0.252239,0.178286,0.135857,0.122745,0.043201,0.349206,0.101675,0.330827,0.113392,0.015341,0.142418 +1,0,0,0,0,0,0.279217,0.112391,0.119036,0.720594,0.470492,0.367552,0.429151,0.31619,0.399807,0.206742,0.498079,0.255685,0.699577,0.357553,0.391464,0.384455,0.100965,0.082058,0.042324,0.098414,0.111297,0.201263,0.187895,0.182433,0.311718,0.362002,0.362737,0.442219,0.639738,0.532182,0.705717,0.569565,0.065664,0.10186,0.067864,0.036535,0.157051,0.152699,0.163556,0.179289,0.275781,0.173742,0.112222,0.191193,0.353087,0.231959,0.322865,0.20407,0.294247,0.211568,0.913451,0.525443,0.238296,0.215823,0.129435,0.149458,0.244855,0.224167,0.15698,0.43101,0.55563,0.410618,0.281511,0.494086,0.018506,0.492063,0.16434,0.466165,0.039437,0.312022,0.343872 +0,0,1,1,0,0,0.192942,0.095426,0.125926,0.692368,0.376237,0.538477,0.594044,0.585846,0.52909,0.644052,0.562908,0.361271,0.335743,0.405029,0.450862,0.25788,0.151727,0.174504,0.079962,0.10269,0.216099,0.166319,0.41538,0.283954,0.227314,0.312041,0.385711,0.206565,0.335031,0.294509,0.31832,0.218535,0.083958,0.183793,0.047258,0.189489,0.296314,0.227639,0.390359,0.353402,0.20879,0.165417,0.196971,0.091331,0.244567,0.13992,0.157944,0.145172,0.417253,0.291594,0.896724,0.448601,0.359545,0.252589,0.498163,0.337487,0.309717,0.279244,0.241233,0.168836,0.181007,0.181791,0.089875,0.133208,0.00979,0.079365,0.023834,0.075188,0.021207,0.047224,0.029273 +0,0,0,0,0,1,0.255417,0.162533,0.212464,0.670984,0.433347,0.503385,0.446738,0.452915,0.40259,0.652183,0.486323,0.297805,0.675312,0.368208,0.292122,0.387065,0.24253,0.342138,0.21379,0.348961,0.351737,0.60343,0.538781,0.614295,0.439006,0.743204,0.665233,0.35983,0.581273,0.402166,0.345683,0.238179,0.058421,0.157021,0.1207,0.131741,0.185536,0.316393,0.23038,0.243974,0.219073,0.183767,0.097069,0.062663,0.122081,0.116583,0.086588,0.082784,0.274747,0.329422,0.888187,0.370811,0.256372,0.581973,0.357693,0.440278,0.388682,0.496874,0.325344,0.175412,0.254084,0.114536,0.089681,0.120697,0.090233,0.555556,0.009178,0.526316,0.160589,0.014767,0.086383 +1,0,0,0,0,0,0.077377,0.342643,0.30474,0.562651,0.71749,0.464444,0.349663,0.447284,0.235869,0.340047,0.475702,0.265823,0.39989,0.342956,0.317821,0.322126,0.115227,0.788168,0.41056,0.375509,0.679396,0.528124,0.343608,0.406385,0.463492,0.447051,0.389051,0.185304,0.234073,0.17451,0.236608,0.122722,0.074675,0.313127,0.293472,0.145047,0.449338,0.287976,0.320844,0.401054,0.235346,0.097301,0.096177,0.09208,0.138412,0.133446,0.141078,0.071095,0.31887,0.468209,0.743357,0.41177,0.517738,0.382499,0.247271,0.288641,0.399826,0.277113,0.104699,0.094009,0.121014,0.052328,0.055939,0.026079,0.168327,0.238095,0.36067,0.225564,0.358284,0.376697,0.386399 +0,0,0,1,1,0,0.125441,0.040379,0.070622,0.531358,0.557173,0.43673,0.602715,0.426855,0.950117,0.383802,0.783735,0.185537,1,0.379191,0.564556,0.439409,0.076083,0.089713,0.077894,0.169876,0.185255,0.233056,0.366664,0.320014,0.262554,0.524437,0.404146,0.319686,0.322265,0.380811,0.527138,0.224551,0.033885,0.164596,0.21052,0.495665,0.294104,0.344896,0.695746,0.62325,0.576666,0.608506,0.293703,0.364805,0.375788,0.347898,0.369577,0.293374,0.379831,0.337489,0.942025,0.544445,0.55833,0.451578,0.53351,0.565316,0.496747,0.897658,0.369025,0.457183,0.385781,0.330205,0.348889,0.252024,0.012837,0.253968,0.008672,0.75188,0.050345,0.028316,0.050767 +0,1,1,0,0,0,0.237637,0.102492,0.112597,0.323889,0.614334,0.236746,0.517146,0.451086,0.452691,0.329034,0.520702,0.435857,0.744187,0.53102,0.380762,0.366786,0.078145,0.061458,0.037198,0.106763,0.101917,0.117394,0.114529,0.164136,0.215011,0.366539,0.35183,0.234225,0.425403,0.362845,0.450185,0.305382,0.075873,0.087751,0.068745,0.405402,0.276305,0.241427,0.202359,0.287613,0.350368,0.194424,0.169205,0.169323,0.319065,0.288758,0.259823,0.166726,0.310442,0.203765,0.921422,0.651854,0.316805,0.251066,0.173956,0.119525,0.377128,0.352432,0.220261,0.313823,0.359376,0.18813,0.184198,0.170374,0.034234,0.603175,0.006698,0.571429,0.195335,0.138573,0.228772 +0,0,1,1,0,0,0.158365,0.162437,0.127056,0.437522,0.44722,0.553101,0.472589,0.628661,0.409199,0.628173,0.58304,0.456185,0.689186,0.583348,0.381322,0.479901,0.220144,0.473322,0.064966,0.185196,0.257067,0.31076,0.341645,0.242785,0.306579,0.459336,0.406011,0.309055,0.368134,0.463868,0.436599,0.268696,0.125123,0.243363,0.066866,0.222647,0.222528,0.26066,0.342948,0.322202,0.323041,0.246229,0.189369,0.179221,0.21241,0.23806,0.238818,0.111319,0.661097,0.51056,0.902082,0.546727,0.383536,0.366574,0.355328,0.249139,0.3639,0.611347,0.230903,0.266125,0.200807,0.338524,0.194586,0.257347,0.202717,0.460317,0.146208,0.43609,0.40911,0.093623,0.409121 +0,1,1,0,0,0,0.259931,0.127215,0.034882,0.545294,0.416545,0.65104,0.423702,0.503421,0.479278,0.449136,0.490231,0.298565,0.373505,0.312305,0.39431,0.363872,0.126628,0.195728,0.046802,0.211784,0.22594,0.310741,0.185748,0.161939,0.154403,0.371317,0.282535,0.155296,0.304639,0.310183,0.420885,0.307152,0.132862,0.260143,0.10479,0.197325,0.326192,0.279634,0.185152,0.30629,0.229575,0.233904,0.123409,0.142199,0.152038,0.211445,0.230325,0.155573,0.321202,0.363056,0.936493,0.563622,0.34144,0.369173,0.361425,0.218033,0.351268,0.56109,0.247174,0.230397,0.404234,0.347754,0.413194,0.542545,0.08724,0.968254,0,0.917293,0.238567,0.268322,0.275728 +1,0,0,0,1,1,0.342032,0.22127,0.254586,0.702312,0.328273,0.500299,0.384136,0.454566,0.261737,0.590559,0.415451,0.56678,0.672742,0.45085,0.491245,0.382852,0.383215,0.432808,0.151662,0.270958,0.302585,0.522734,0.475511,0.535784,0.442069,0.502178,0.610538,0.256851,0.442504,0.348445,0.448317,0.295222,0.268765,0.29668,0.057004,0.154733,0.243914,0.382189,0.399242,0.563526,0.259624,0.259939,0.291108,0.099942,0.278413,0.156362,0.145565,0.087659,0.76732,0.43782,0.877559,0.455723,0.433139,0.582271,0.42251,0.581368,0.479641,0.427733,0.488496,0.146469,0.269242,0.266992,0.143948,0.167731,0.212283,0.555556,0.552475,0.526316,0.565439,0.113193,0.690796 +1,1,0,0,0,1,0.407044,0.260188,0.095597,0.922445,0.288647,0.401213,0.512807,0.472319,0.284304,0.658208,0.467837,0.45913,0.522873,0.450144,0.342185,0.315048,0.176652,0.176113,0.060852,0.087079,0.072333,0.255854,0.311893,0.227731,0.314434,0.373448,0.413743,0.200778,0.261262,0.257439,0.30969,0.185643,0.114221,0.187878,0.215921,0.06378,0.129338,0.184599,0.300769,0.207825,0.397943,0.184209,0.18272,0.121201,0.09512,0.06555,0.114465,0.092094,0.269753,0.218197,0.927781,0.430752,0.146261,0.425782,0.357038,0.346089,0.272173,0.416988,0.29509,0.24328,0.170617,0.078789,0.07186,0.08254,0.04958,0.253968,0.051107,0.240602,0.119381,0.158424,0.156817 +0,0,0,0,1,0,0.428716,0.218094,0.097585,0.606379,0.500672,0.222337,0.562604,0.348324,0.446765,0.17674,0.70276,0.391428,0.746878,0.334633,0.453319,0.333171,0.249156,0.207331,0.076442,0.180039,0.211416,0.37497,0.283961,0.31109,0.346572,0.422963,0.359312,0.237588,0.276822,0.259651,0.388754,0.203035,0.176272,0.221855,0.103734,0.200746,0.223767,0.257571,0.332976,0.360465,0.406527,0.231651,0.220204,0.107919,0.104573,0.126618,0.17889,0.10392,0.615798,0.418524,0.91981,0.448883,0.355736,0.665619,0.371085,0.346236,0.548195,0.348961,0.29342,0.185675,0.233575,0.177245,0.260285,0.164529,0.044923,0.253968,0.024019,0.240602,0.168629,0.178847,0.191396 +0,1,0,0,0,0,0.251918,0.154155,0.076767,0.796864,0.347721,0.49322,0.53786,0.550606,0.344742,0.571282,0.612945,0.409112,0.422188,0.353197,0.420987,0.269359,0.111939,0.165316,0.052963,0.108502,0.105402,0.17284,0.20576,0.165768,0.22934,0.329078,0.290228,0.175417,0.225985,0.196057,0.321696,0.161688,0.059824,0.175271,0.072796,0.150861,0.28886,0.185496,0.218703,0.279542,0.184035,0.20213,0.131463,0.120238,0.10991,0.145673,0.129501,0.08277,0.292081,0.267353,0.932529,0.425041,0.284215,0.246407,0.229311,0.150378,0.341358,0.328061,0.24064,0.137333,0.111579,0.127912,0.09543,0.11868,0.071203,0.253968,0.222523,0.240602,0.141956,0.479524,0.330199 +1,1,0,0,0,1,0.711189,0.408093,0.055813,0.988119,0.21944,0.258998,0.343164,0.39356,0.392756,0.463592,0.622137,0.377511,0.532209,0.281658,0.184799,0.209175,0.169778,0.117338,0.031025,0.017266,0.068981,0.027754,0.008685,0.073271,0.127694,0.205339,0.195392,0.117687,0.244901,0.197791,0.336404,0.177046,0.139262,0.134922,0.104145,0.027447,0.101375,0.111457,0.087992,0.154555,0.161647,0.123939,0.090092,0.078246,0.168546,0.167582,0.210696,0.099873,0.243863,0.168466,0.943636,0.391155,0.179273,0.047338,0.128136,0.075449,0.105882,0.189907,0.088581,0.076776,0.154457,0.082565,0.062307,0.125227,0.052557,0.666667,0.018294,0.631579,0.103548,0.199134,0.249283 +0,1,1,0,0,0,0.104627,0.098959,0.230006,0.436086,0.513851,0.766351,0.608182,0.70448,0.550851,0.576225,0.552997,0.31468,0.743379,0.616432,0.534664,0.533167,0.124176,0.344671,0.247852,0.576996,0.374121,0.391468,0.481118,0.529851,0.494991,0.561032,0.480823,0.282238,0.383459,0.309879,0.359145,0.292942,0.050616,0.293324,0.133439,0.349742,0.330877,0.411285,0.218017,0.239401,0.257268,0.287188,0.327117,0.182445,0.146327,0.127951,0.144234,0.068125,0.384936,0.673763,0.816055,0.32964,0.26649,0.350019,0.294787,0.251121,0.338692,0.451635,0.324065,0.192492,0.226391,0.161323,0.198073,0.154275,0.168861,0.571429,0.321701,0.541353,0.364566,0.0551,0.428989 +1,1,0,0,0,0,0.309782,0.15039,0.11463,0.62198,0.497058,0.332888,0.480682,0.422122,0.430311,0.295443,0.458382,0.259659,0.449852,0.414847,0.325234,0.06966,0.084573,0.082657,0.026383,0.108643,0.104152,0.095434,0.081113,0.151847,0.204387,0.345656,0.367019,0.253219,0.375039,0.385044,0.398869,0.269785,0.069088,0.134145,0.158272,0.366447,0.283822,0.251511,0.257149,0.247644,0.292345,0.281327,0.285177,0.146708,0.367617,0.238148,0.190004,0.139761,0.330236,0.272188,0.918242,0.622165,0.344467,0.206847,0.127527,0.106394,0.170265,0.252313,0.14857,0.179743,0.200581,0.15586,0.099598,0.133109,0.024692,0.380952,0,0.932331,0.235044,0.117735,0.179242 +0,0,0,0,0,1,0.211472,0.2408,0.230356,0.697833,0.292508,0.510475,0.380328,0.602973,0.423519,0.511389,0.597949,0.338659,0.755104,0.439784,0.440448,0.521484,0.25525,0.535803,0.127028,0.247775,0.31151,0.39947,0.408759,0.40878,0.38773,0.623536,0.516247,0.257018,0.452233,0.323296,0.389514,0.269565,0.091351,0.232521,0.094869,0.148057,0.109467,0.130171,0.212168,0.25367,0.144897,0.155633,0.128642,0.050087,0.120289,0.076114,0.09155,0.054465,0.27471,0.331435,0.893763,0.336364,0.175055,0.274228,0.239344,0.289847,0.318259,0.392479,0.17286,0.120203,0.214746,0.137633,0.107778,0.148052,0.063356,0.15873,0.002463,0.616541,0.163075,0.027203,0.117771 +0,1,1,0,0,0,0.560037,0.370393,0.072813,0.69522,0.199424,0.501049,0.437355,0.480378,0.473331,0.362984,0.483044,0.276928,0.365161,0.534618,0.423489,0.524255,0.231439,0.20388,0.043898,0.151201,0.079318,0.311313,0.093506,0.118623,0.12207,0.327996,0.367882,0.253068,0.449088,0.496185,0.799153,0.521432,0.087926,0.133378,0.12252,0.13463,0.106747,0.265444,0.126455,0.125416,0.105721,0.181369,0.190879,0.151708,0.22728,0.216051,0.458697,0.285473,0.235747,0.177072,0.928522,0.428305,0.098065,0.387594,0.111799,0.127699,0.164531,0.355544,0.334909,0.268951,0.415971,0.537382,0.499276,0.549587,0.042224,0.793651,0,0.75188,0.172635,0.244794,0.28308 +0,1,0,0,0,0,0.327983,0.230685,0.132794,0.903136,0.415985,0.325262,0.731657,0.336866,0.558643,0.349657,0.517238,0.342541,0.158832,0.438234,0.386312,0.308592,0.093317,0.122037,0.101328,0.059937,0.136554,0.224283,0.261886,0.235881,0.228107,0.272311,0.160781,0.125143,0.272953,0.228214,0.297135,0.189824,0.057878,0.078739,0.063109,0.015345,0.101484,0.13575,0.17455,0.153941,0.139157,0.125966,0.082971,0.093277,0.123332,0.084218,0.138895,0.080707,0.267292,0.159026,0.909095,0.390292,0.11903,0.167903,0.118337,0.16561,0.218219,0.291361,0.150635,0.097828,0.142712,0.190028,0.111757,0.162765,0.054646,0.333333,0.166742,0.315789,0.169167,0.248466,0.373473 +0,0,1,1,1,0,0.199713,0.078753,0.078721,0.598285,0.457559,0.613711,0.553324,0.585496,0.572175,0.533125,0.460109,0.314804,0.402613,0.347463,0.403677,0.449506,0.095287,0.110144,0.046703,0.268909,0.266422,0.325072,0.164785,0.175931,0.188888,0.274197,0.297934,0.214865,0.313397,0.299739,0.430726,0.317321,0.110366,0.198373,0.119408,0.382687,0.406032,0.374537,0.255046,0.253103,0.30055,0.266542,0.265779,0.23665,0.192629,0.175783,0.285886,0.161292,0.345789,0.258583,0.918416,0.415217,0.310754,0.391311,0.153741,0.108474,0.294703,0.41522,0.348082,0.243607,0.168522,0.216366,0.206526,0.246101,0.024832,0.698413,0.008367,0.661654,0.064588,0.204568,0.158458 +0,0,0,0,1,1,0.442323,0.307089,0.07967,0.768823,0.22123,0.488646,0.563461,0.666878,0.183229,0.183266,0.680276,0.489994,0.522195,0.436917,0.585434,0.662963,0.281717,0.267131,0.060753,0.096559,0.102471,0.112954,0.193286,0.127676,0.253519,0.231472,0.247291,0.110621,0.241506,0.240158,0.276325,0.169609,0.077174,0.132292,0.097804,0.252124,0.1458,0.120252,0.192084,0.158657,0.293159,0.170206,0.089896,0.070314,0.107575,0.107052,0.195502,0.112775,0.474743,0.279157,0.93279,0.505902,0.482381,0.428258,0.51529,0.117993,0.304876,0.319724,0.285812,0.103649,0.245592,0.132962,0.075675,0.102284,0.166697,0.15873,0.125848,0.150376,0.303176,0.154492,0.241391 +0,0,0,0,1,1,0.570322,0.35505,0.159554,0.852073,0.167745,0.303956,0.500972,0.550382,0.445189,0.338221,0.44644,0.324511,0.735309,0.57342,0.453923,0.621569,0.318428,0.246408,0.063481,0.170451,0.135198,0.280529,0.390018,0.321003,0.413513,0.446874,0.349033,0.211721,0.317715,0.288097,0.370655,0.302738,0.161206,0.13707,0.104673,0.159994,0.135073,0.186378,0.324418,0.479564,0.310322,0.26881,0.113438,0.105325,0.217588,0.149986,0.232382,0.136778,0.363324,0.246415,0.93022,0.338758,0.111123,0.245749,0.311368,0.266924,0.388876,0.422517,0.194361,0.147853,0.220622,0.130522,0.098156,0.18186,0.51811,0.269841,0.61105,0.255639,0.462213,0.603174,0.563731 +1,1,0,0,0,0,1,0.952271,0.219829,0.607213,0.067102,0.626075,0.329288,0.587414,0.407198,0.815181,0.663207,0.604971,0.915999,0.290793,0.404246,0.618058,0.764889,0.654799,0.104805,0.251093,0.228168,0.27819,0.429878,0.348998,0.211708,0.656957,0.385819,0.152638,0.407504,0.368839,0.202253,0.126684,1,0.149692,0.039216,0.271967,0.514389,0.761603,0.386315,0.108727,0.053751,0.183252,0.118984,0.005844,0.108265,0.09102,0.074264,0.005973,0.467913,0.490367,0.900296,0.419917,0.165255,0.340635,0.046177,0.122459,0.047479,0.137182,0.0357,0.032567,0.119296,0.027012,0.055148,0.009503,0.517779,0.222222,0.592723,0.210526,0.608343,0.662842,0.740452 +0,0,1,0,1,0,0.309879,0.148825,0.239563,0.658477,0.469257,0.256401,0.650115,0.396624,0.702864,0.478201,0.576451,0.390927,0.58077,0.474084,0.450186,0.489319,0.284708,0.209626,0.14901,0.363883,0.416221,0.643928,0.456495,0.450441,0.529708,0.543838,0.580224,0.287688,0.452801,0.46902,0.543664,0.249975,0.131954,0.284031,0.14653,0.109957,0.283185,0.371325,0.326428,0.280164,0.243271,0.214166,0.132632,0.101789,0.133146,0.144735,0.148904,0.096339,0.371807,0.244878,0.868412,0.370184,0.29592,0.489717,0.401743,0.34724,0.495608,0.423778,0.258305,0.137383,0.162017,0.297478,0.198267,0.118761,0.023691,0.253968,0.045908,0.240602,0.131646,0.238296,0.191027 +0,1,1,0,0,0,0.141833,0.045985,0.154844,0.635119,0.533301,0.548895,0.567569,0.586112,0.334411,0.592021,0.494034,0.254978,0.508777,0.4272,0.331435,0.580829,0.113419,0.105511,0.119536,0.289733,0.258616,0.479802,0.472956,0.413501,0.48887,0.579122,0.509064,0.300029,0.451109,0.412423,0.448582,0.237979,0.079859,0.116505,0.139486,0.21462,0.282321,0.451026,0.505543,0.401435,0.541887,0.269207,0.214096,0.156437,0.153209,0.148451,0.185096,0.087685,0.325536,0.243905,0.89189,0.4194,0.263531,0.556675,0.44408,0.460991,0.698713,0.504912,0.4989,0.316604,0.273561,0.201064,0.178029,0.161383,0.145527,0.555556,0.045022,0.526316,0.454472,0.00234,0.305129 +1,1,1,0,0,0,0.339213,0.142276,0.111976,0.507768,0.539968,0.331043,0.448442,0.328677,0.155441,0.244194,0.519682,0.233226,0.288585,0.289691,0.24159,0.200729,0.080177,0.074524,0.026493,0.072782,0.119454,0.111389,0.11006,0.145055,0.188619,0.372453,0.491386,0.322566,0.521497,0.473209,0.489978,0.309412,0.067105,0.113857,0.084596,0.465591,0.399202,0.188173,0.21368,0.26037,0.26792,0.267567,0.269715,0.23632,0.358744,0.242294,0.284512,0.193169,0.311875,0.205249,0.938453,0.486146,0.329825,0.185789,0.146814,0.10636,0.115896,0.462241,0.377505,0.289076,0.324928,0.275982,0.191678,0.238725,0.034041,0.238095,0.066152,0.225564,0.189642,0.188189,0.230126 +0,0,0,1,1,0,0.422372,0.136234,0.035232,0.14816,0.677763,0.240192,0.291678,0.592142,0.387728,0.344623,0.441921,0.30426,0.502883,0.457384,0.304114,0.301096,0.070634,0.020244,0.014413,0.025417,0.028566,0.038189,0.06319,0.145948,0.243171,0.294888,0.408708,0.289409,0.47223,0.442633,0.458179,0.18051,0.246119,0.124514,0.218915,0.287787,0.620113,0.451975,0.343234,0.542746,0.885319,0.552237,0.627279,0.433969,0.821482,0.713223,0.75245,0.297874,0.29601,0.211615,0.921901,0.761078,0.35262,0.171578,0.182935,0.248399,0.675351,0.462389,0.699673,0.444194,0.820857,0.597541,0.35341,0.19674,0.024054,0.507937,0,0.481203,0.144279,0.187642,0.219309 +0,0,1,0,0,0,0.364492,0.195719,0.146925,0.6147,0.36814,0.34539,0.195087,0.590983,0.426821,0.421996,0.521662,0.399982,0.625548,0.551498,0.432761,0.471244,0.339501,0.34587,0.114046,0.276286,0.180955,0.316672,0.243049,0.42507,0.409213,0.411578,0.432973,0.302813,0.485492,0.27472,0.369307,0.239877,0.208922,0.196109,0.075203,0.19138,0.153401,0.254233,0.381245,0.527805,0.373113,0.266874,0.198964,0.125729,0.205404,0.113671,0.182004,0.117436,0.390298,0.246146,0.893675,0.570288,0.284774,0.318686,0.206006,0.529288,0.374168,0.314936,0.271762,0.215937,0.325381,0.115967,0.101022,0.195991,0.029803,0.349206,0.079467,0.330827,0.063611,0.083126,0.114458 +0,0,0,1,1,0,0.165471,0.049576,0.129586,0.564841,0.655588,0.406044,0.52904,0.553607,0.640757,0.590217,0.633966,0.351019,0.91188,0.323635,0.364442,0.888329,0.107189,0.101184,0.088412,0.20791,0.34448,0.419849,0.460065,0.287675,0.416315,0.674227,0.528402,0.344311,0.493619,0.412638,0.448594,0.334447,0.07766,0.107688,0.133674,0.239793,0.300316,0.262577,0.327312,0.361251,0.388486,0.321127,0.226937,0.192354,0.275769,0.243421,0.234665,0.139675,0.397477,0.289377,0.904608,0.53809,0.586812,0.663433,0.486182,0.341723,0.505747,0.777228,0.405951,0.279124,0.438072,0.296226,0.162079,0.392692,0.04415,0.968254,0,0.917293,0.085735,0.195064,0.168611 +0,0,1,1,1,0,0.135532,0.045646,0.096512,0.644444,0.593396,0.458787,0.606483,0.434463,0.320588,0.616176,0.563299,0.293135,0.603675,0.515693,0.252431,0.622378,0.076857,0.078508,0.067299,0.114915,0.23137,0.185519,0.371293,0.34608,0.447189,0.513151,0.376288,0.232736,0.354894,0.34137,0.382785,0.192365,0.033632,0.071354,0.102736,0.102138,0.244525,0.124291,0.367394,0.359287,0.496507,0.279287,0.260108,0.173607,0.205557,0.166536,0.196571,0.131139,0.345679,0.26354,0.89642,0.504724,0.372211,0.143994,0.3828,0.295381,0.779931,0.654851,0.341306,0.203299,0.309087,0.274025,0.117781,0.137772,0.226337,0.888889,0,0.842105,0.092761,0.310559,0.202063 +0,0,1,0,1,1,0.610358,0.459855,0.206454,0.747435,0.273254,0.654344,0.320919,0.484743,0.279642,0.57352,0.567413,0.220246,0.197535,0.712982,0.452559,0.331858,0.588416,0.619327,0.124905,0.272972,0.264041,0.537702,0.542887,0.743795,0.474012,0.859308,0.642667,0.361108,0.662292,0.628768,0.801954,0.403657,0.383912,0.27574,0.179112,0.059192,0.097046,0.288332,0.222581,0.510275,0.231176,0.264148,0.111228,0.121891,0.244588,0.126528,0.181082,0.120631,0.535429,0.169105,0.881784,0.3933,0.302748,0.407232,0.294406,0.424192,0.320175,0.471352,0.28564,0.177868,0.393103,0.212529,0.175592,0.180568,0.122426,0.619048,0.003808,0.586466,0.228276,0.416029,0.354953 +1,0,0,0,0,1,0.61248,0.495189,0.201315,0.834118,0.262959,0.584881,0.320094,0.540673,0.405576,0.568566,0.572371,0.380759,0.633323,0.290976,0.447562,0.397445,0.543748,0.538121,0.106411,0.164598,0.257465,0.309945,0.489082,0.259079,0.235316,0.472666,0.349859,0.203326,0.34905,0.261935,0.301951,0.1413,0.281351,0.377198,0.095985,0.079838,0.234594,0.179507,0.1984,0.174193,0.123921,0.116411,0.053415,0.101679,0.079463,0.0673,0.073799,0.050255,0.403206,0.2236,0.899077,0.365663,0.166154,0.322861,0.335496,0.151071,0.158806,0.274484,0.110872,0.104095,0.174755,0.062025,0.082691,0.04783,0.10397,0.301587,0.125707,0.285714,0.243959,0.091085,0.250971 +0,0,1,1,1,0,0.120976,0.003173,0.064612,0.256114,0.838082,0.695995,0.515316,1,0.853415,0.675312,0.421978,0.224703,0.470484,0.506829,0.401574,0.269217,0.011042,0,0.119976,0.210775,0.136111,0.291109,0.049645,0.248938,0.112926,0.19181,0.254501,0.098153,0.496299,0.27708,0.395493,0.147803,0.06936,0.125286,0.289186,0.39715,0.366091,0.444694,0.326509,0.42295,0.364646,0.392313,0.298761,0.217767,0.443055,0.371482,0.418743,0.228728,0.363067,0.259087,0.923251,0.640329,0.478558,0.408364,0.187,0.482571,0.707873,0.640976,0.450467,0.352649,0.677741,0.481784,0.347333,0.380998,0.007549,0.142857,0.009946,0.135338,0.05023,0.055025,0.061573 +0,0,1,1,0,0,0.514629,0.316732,0.230515,0.11441,0.324365,0.456042,0.469707,0.613943,0.392946,0.532202,0.673769,0.431509,0.958695,0.551628,0.527559,0.587173,0.430732,0.427451,0.136897,0.33118,0.353618,0.403254,0.409542,0.380071,0.375698,0.534901,0.386955,0.352616,0.445241,0.401903,0.514722,0.326271,0.220581,0.345514,0,0.239649,0.241675,0.148823,0.198436,0.239063,0.249514,0.254154,0.191765,0.106895,0.139091,0.122239,0.207094,0.128817,0.507648,0.37825,0.865581,0.608247,0.307949,0.294656,0.272438,0.205228,0.361415,0.328309,0.173825,0.187775,0.183765,0.179591,0.165085,0.183175,0.389481,0.253968,0.55033,0.240602,0.407188,0.607804,0.527031 +0,0,1,1,1,0,0.142923,0.047398,0.13189,0.529057,0.619697,0.624852,0.504268,0.796049,0.47187,0.684702,0.532664,0.279298,0.616948,0.500848,0.213425,0.473691,0.136598,0.158295,0.099931,0.140653,0.299573,0.272968,0.35293,0.303365,0.320858,0.670503,0.278529,0.256816,0.412425,0.29104,0.407209,0.27003,0.085165,0.163352,0.210638,0.142685,0.278826,0.250203,0.304168,0.330879,0.524034,0.363453,0.176626,0.140237,0.212894,0.140143,0.218905,0.127986,0.525367,0.454868,0.895766,0.71059,0.504017,0.450615,0.402069,0.332481,0.446602,0.639921,0.251689,0.233959,0.379429,0.228089,0.167256,0.234542,0.007485,0.555556,0,0.526316,0.059319,0.115171,0.088455 +0,0,1,1,1,0,0.114675,0.023556,0.078269,0.427894,0.70098,0.718364,0.610962,0.472947,0.495295,0.475219,0.582164,0.437995,0.552003,0.404174,0.438705,0.325055,0.063054,0.066733,0.067409,0.142066,0.2324,0.272775,0.41705,0.324723,0.285096,0.47154,0.338745,0.282751,0.347608,0.367925,0.348582,0.229055,0.051234,0.091004,0.199366,0.33696,0.385274,0.259054,0.628812,0.436774,0.352216,0.347088,0.161482,0.188453,0.252475,0.182384,0.266382,0.175272,0.3952,0.338034,0.916674,0.555785,0.470261,0.563208,0.705726,0.493945,0.564491,0.749114,0.342826,0.261115,0.258315,0.258086,0.166912,0.157654,0.032607,0.412698,0.154275,0.390977,0.160874,0.053901,0.246898 +1,0,0,0,0,1,0.449865,0.268992,0.065414,0.872556,0.281334,0.405805,0.545739,0.456479,0.33685,0.655375,0.593103,0.39461,0.662881,0.680184,0.338602,0.579996,0.189248,0.146762,0.038859,0.11692,0.120471,0.25444,0.422219,0.336524,0.322195,0.491177,0.409368,0.264865,0.459752,0.3859,0.44015,0.2883,0.07708,0.083324,0.046084,0.012131,0.101355,0.130774,0.18219,0.233972,0.180605,0.181111,0.126799,0.109188,0.113464,0.112167,0.1367,0.066864,0.278236,0.176779,0.948166,0.505236,0.296969,0.28054,0.233038,0.227818,0.260766,0.290564,0.163369,0.162165,0.24395,0.130969,0.117854,0.105284,0.040328,0.015873,0.245257,0.015038,0.123893,0.27219,0.21601 +0,0,1,1,0,0,0.23585,0.157011,0.231961,0.48222,0.413316,0.590572,0.594021,0.347809,0.418501,0.648248,0.463754,0.445974,0.785666,0.533932,0.203889,0.566683,0.253807,0.370908,0.207244,0.339888,0.306124,0.522998,0.63168,0.569782,0.360042,0.558974,0.46,0.280296,0.349975,0.222965,0.410603,0.23556,0.09966,0.14293,0.109076,0.23081,0.165081,0.349171,0.629218,0.3615,0.319121,0.26567,0.188772,0.219451,0.145195,0.101009,0.222128,0.085895,0.352931,0.308508,0.846894,0.444652,0.273847,0.466313,0.459009,0.491296,0.355919,0.54343,0.227776,0.258709,0.219559,0.106457,0.132851,0.103985,0.228845,0.349206,0.028019,0.330827,0.25485,0.059724,0.208108 +1,1,0,0,0,0,0.27771,0.143388,0.082426,0.570862,0.507544,0.314299,0.532558,0.451664,0.420468,0.424654,0.559058,0.335306,0.510319,0.328701,0.296939,0.253013,0.085422,0.074489,0.041466,0.069153,0.08465,0.058673,0.059517,0.149142,0.162374,0.233419,0.28829,0.188359,0.338754,0.336389,0.390699,0.258074,0.048221,0.065753,0.12751,0.089905,0.185465,0.085849,0.148488,0.160821,0.206022,0.141676,0.230258,0.168704,0.303058,0.217072,0.244567,0.067839,0.302785,0.200585,0.917066,0.551269,0.3179,0.204591,0.092917,0.10673,0.147662,0.173159,0.155563,0.254386,0.298926,0.178989,0.166415,0.095197,0.02787,0.492063,0.064301,0.466165,0.129893,0.098826,0.193627 +0,0,1,0,0,0,0.186231,0.062455,0.111716,0.6241,0.585783,0.372591,0.478296,0.41172,0.52738,0.531952,0.376029,0.386859,0.468029,0.522949,0.39632,0.317486,0.097851,0.08039,0.077289,0.18831,0.172304,0.381378,0.220346,0.221344,0.245507,0.292063,0.293982,0.160894,0.387334,0.378287,0.482404,0.344214,0.080804,0.091065,0.039803,0.17199,0.206189,0.334227,0.208282,0.24093,0.254317,0.207075,0.185846,0.135287,0.151105,0.248557,0.359968,0.204459,0.331246,0.257527,0.902082,0.476602,0.418772,0.375091,0.248859,0.143035,0.273947,0.370768,0.231399,0.157883,0.31715,0.479918,0.316946,0.429461,0.019768,0.650794,0.024549,0.616541,0.116231,0.137141,0.171264 +0,0,1,1,0,0,0.134625,0.217488,0.130964,0.494635,0.387225,0.492904,0.640151,0.639404,0.610109,0.507586,0.614567,0.304196,0.604671,0.418879,0.246948,0.210869,0.140518,0.458505,0.122496,0.183094,0.131121,0.249093,0.235078,0.237275,0.180799,0.250381,0.301238,0.145183,0.239146,0.249154,0.318656,0.211725,0.106903,0.606498,0.102736,0.201256,0.275327,0.430842,0.217702,0.355159,0.190095,0.217312,0.163833,0.114405,0.141149,0.172313,0.216125,0.198243,0.409559,0.747583,0.888666,0.461309,0.15075,0.256024,0.218044,0.278828,0.205867,0.215241,0.2436,0.149926,0.138025,0.151759,0.160568,0.203931,0.213752,0.603175,0.054268,0.571429,0.521972,0.110931,0.417438 +0,0,0,0,1,1,0.342134,0.209824,0.083036,0.851231,0.351253,0.429197,0.417851,0.377439,0.272789,0.27297,0.485788,0.346716,0.790035,0.298644,0.360151,0.383256,0.151002,0.151049,0.041202,0.074516,0.033732,0.029573,0.042614,0.135173,0.052736,0.165891,0.127559,0.073217,0.235339,0.18351,0.198504,0.155562,0.015244,0.057675,0.070271,0.052241,0.119479,0.108827,0.245704,0.255318,0.270006,0.209374,0.266726,0.155229,0.14295,0.108154,0.12784,0.093814,0.282037,0.199113,0.931222,0.450449,0.134173,0.108034,0.151706,0.11122,0.152257,0.154137,0.12784,0.087184,0.156667,0.077875,0.081376,0.118464,0.418254,0.253968,0.606084,0.240602,0.597883,1,0.841726 +1,1,1,0,0,0,0.875898,0.51578,0.122504,0.616153,0.291413,0.406682,0.305207,0.474387,0.264788,0.370269,0.410532,0.429461,0.960381,0.52952,0.420545,0.580166,0.433723,0.416103,0.071238,0.133289,0.149812,0.101498,0.099177,0.13629,0.14829,0.33111,0.260745,0.283317,0.424062,0.434871,0.470121,0.338054,0.260127,0.265661,0.092286,0.195885,0.298469,0.118598,0.123113,0.169535,0.153045,0.137183,0.121192,0.131046,0.244203,0.209523,0.22567,0.124862,0.302455,0.176081,0.907396,0.477735,0.155471,0.093169,0.051353,0.102468,0.131246,0.244754,0.133179,0.238595,0.365682,0.267982,0.247357,0.331198,0.075038,0.126984,0.215206,0.120301,0.280836,0.373895,0.370673 +0,0,1,1,1,0,0.184163,0.067275,0.087046,0.541691,0.54438,0.484829,0.421426,0.593958,0.430124,0.263406,0.629193,0.454326,0.948986,0.493723,0.331683,0.222297,0.083564,0.081422,0.047946,0.069485,0.127502,0.113559,0.169997,0.250845,0.211118,0.360889,0.307513,0.17291,0.294646,0.308081,0.303909,0.258645,0.183525,0.215542,0.113185,0.26319,0.242054,0.15207,0.209655,0.429553,0.35159,0.197209,0.201604,0.098152,0.179074,0.225494,0.178702,0.193983,0.390647,0.311998,0.929959,0.491108,0.404673,0.186866,0.288293,0.278203,0.342031,0.329405,0.256464,0.145143,0.143572,0.203309,0.083877,0.147789,0.015967,0.111111,0.04826,0.105263,0.074391,0.117374,0.11818 +1,1,0,0,0,0,0.559346,0.446076,0.307643,0.635071,0.177972,0.658219,0.529085,0.672274,0.359632,0.335105,0.536489,0.457141,0.303169,0.422345,0.382114,0.312628,0.555316,0.549975,0.172357,0.402668,0.350937,0.446172,0.703379,0.659352,0.566195,0.944409,0.59183,0.344774,0.606445,0.470225,0.582866,0.324261,0.204963,0.162447,0.086357,0.109775,0.151049,0.150907,0.260218,0.373961,0.174315,0.183261,0.103572,0.066581,0.125039,0.083689,0.084516,0.05377,0.439636,0.198333,0.861051,0.397523,0.355011,0.326773,0.382588,0.648506,0.371783,0.64081,0.355665,0.210876,0.312117,0.162187,0.152321,0.145806,0.423587,0.793651,0,0.75188,0.024266,0.452056,0.258791 +0,0,1,0,0,0,0.237621,0.092345,0.106418,0.367348,0.742304,0.33316,0.431726,0.471343,0.37369,0.302135,0.44453,0.369822,0.540099,0.364083,0.335377,0.344071,0.066212,0.041964,0.042798,0.157162,0.1457,0.146432,0.065773,0.121788,0.088694,0.22676,0.234602,0.165693,0.262979,0.222469,0.269364,0.195523,0.114923,0.181579,0.149935,0.78871,0.707725,0.638144,0.204024,0.347459,0.234719,0.153905,0.13362,0.100976,0.133368,0.14185,0.138735,0.154032,0.326674,0.278001,0.9307,0.624403,0.504955,0.354199,0.20578,0.147287,0.150164,0.221939,0.213514,0.239292,0.215981,0.209818,0.117073,0.090866,0.079942,0.968254,0,0.917293,0.121421,0.24546,0.198887 +1,0,0,0,0,1,0.452155,0.303877,0.098748,0.892268,0.2936,0.320887,0.366174,0.454332,0.266214,0.583882,0.57229,0.327312,0.687198,0.459157,0.264883,0.437985,0.2134,0.213907,0.056066,0.133644,0.085673,0.182833,0.1826,0.156807,0.203755,0.367443,0.313053,0.144967,0.277188,0.255421,0.294487,0.185813,0.164173,0.197962,0.120758,0.164479,0.223545,0.175638,0.32013,0.188078,0.27548,0.156054,0.167297,0.08663,0.154485,0.15422,0.114551,0.066219,0.422137,0.381307,0.917719,0.660112,0.426832,0.209953,0.173323,0.169234,0.213865,0.452298,0.215474,0.103506,0.154369,0.117903,0.082287,0.076153,0.04021,0.190476,0.063551,0.180451,0.245019,0.108386,0.195417 +1,0,0,0,1,1,0.227854,0.180877,0.241573,0.629711,0.431332,0.394687,0.379525,0.57996,0.109095,0.606716,0.509101,0.346991,0.672845,0.376202,0.349386,0.360155,0.170032,0.414389,0.136721,0.256476,0.395366,0.48733,0.505873,0.610522,0.630768,0.77805,0.612803,0.344277,0.467201,0.387126,0.478397,0.38815,0.090415,0.156448,0.082658,0.191225,0.18326,0.200003,0.251082,0.497482,0.293211,0.174043,0.147179,0.094208,0.109844,0.103736,0.150091,0.073322,0.257873,0.279198,0.887926,0.395386,0.230381,0.358807,0.266637,0.456572,0.430535,0.491235,0.313165,0.159114,0.232746,0.149842,0.102671,0.17393,0.366393,0.190476,0.174599,0.661654,0.33541,0.045692,0.382602 +1,1,0,0,0,0,0.275437,0.127297,0.131687,0.367866,0.55011,0.235495,0.443867,0.400626,0.501952,0.569125,0.564377,0.254991,0.401128,0.514881,0.431262,0.510394,0.11745,0.079212,0.041092,0.230108,0.165399,0.11624,0.121104,0.158067,0.204785,0.350703,0.289896,0.208146,0.374999,0.394625,0.341379,0.280442,0.044159,0.073194,0.125749,0.696141,0.438966,0.245526,0.260471,0.300109,0.352081,0.317851,0.24942,0.210574,0.207861,0.221915,0.350921,0.183937,0.315088,0.232547,0.928957,0.706828,0.21615,0.16662,0.158293,0.105316,0.201509,0.270534,0.156305,0.117916,0.296725,0.238693,0.104532,0.18532,0.05127,0.047619,0.10858,0.045113,0.24382,0.193564,0.289116 +0,1,1,0,0,0,0.435584,0.223579,0.300492,0.681405,0.387588,0.333257,0.487669,0.647089,0.320352,0.56129,0.60076,0.408897,0.541873,0.687406,0.347071,0.599168,0.744942,0.482015,0.246488,0.330573,0.603285,0.577228,0.820853,0.459204,0.553262,0.617202,0.543548,0.36575,0.40123,0.333645,0.394116,0.286341,0.165127,0.184273,0.017083,0.100495,0.256954,0.222809,0.483913,0.312589,0.311889,0.205195,0.153839,0.1654,0.142171,0.091112,0.20459,0.125789,0.462386,0.171194,0.801681,0.561914,0.343855,0.472145,0.453975,0.295255,0.43428,0.458434,0.259927,0.251824,0.200205,0.119328,0.124952,0.130035,0.002922,0.222222,0.014785,0.706767,0.015841,0.019638,0.025154 +0,0,1,1,1,0,0.159299,0.028234,0.160943,0.286619,0.675222,0.679153,0.50093,0.45794,0.334531,0.384899,0.568516,0.420623,0.131009,0.14229,0.333421,0.462146,0.050718,0.028563,0.173897,0.20876,0.274496,0.188611,0.283668,0.258066,0.190377,0.341124,0.352433,0.250048,0.420046,0.392176,0.468848,0.271442,0.05581,0.076845,0.302747,0.359337,0.339217,0.342199,0.5206,0.578339,0.382633,0.303361,0.290919,0.304234,0.41868,0.490543,0.512283,0.251866,0.40014,0.281803,0.918329,0.677843,0.4127,0.513086,0.650204,0.477858,0.549559,0.423562,0.499489,0.376147,0.883776,0.500954,0.440123,0.464782,0.033836,0.761905,0,0.721805,0.164977,0.218946,0.209952 +0,1,1,0,0,0,0.333722,0.151316,0.110666,0.51842,0.534862,0.222954,0.477172,0.364886,0.465741,0.385903,0.540994,0.304975,0.495628,0.376329,0.304198,0.4076,0.095027,0.069577,0.022114,0.088916,0.085495,0.082441,0.079732,0.174133,0.177497,0.32598,0.338131,0.2299,0.435644,0.353298,0.400449,0.260334,0.049512,0.067537,0.102207,0.389243,0.320901,0.192028,0.19329,0.334015,0.209474,0.240032,0.307388,0.157416,0.319778,0.262411,0.196393,0.144883,0.318062,0.207784,0.928696,0.647265,0.457257,0.193662,0.102738,0.105322,0.150255,0.275285,0.160812,0.135265,0.254007,0.264256,0.11334,0.128833,0.033495,0.190476,0.085886,0.180451,0.244621,0.141457,0.209378 +1,0,0,0,0,1,0.280566,0.224618,0.105695,0.773245,0.278271,0.587531,0.514434,0.449249,0.416739,0.723004,0.418839,0.34645,0.574097,0.558397,0.366626,0.208756,0.225661,0.330297,0.049883,0.149177,0.099945,0.21248,0.223728,0.203967,0.212423,0.356112,0.272143,0.189868,0.244543,0.25585,0.254122,0.217333,0.184264,0.289003,0.143243,0.326286,0.145848,0.264945,0.332237,0.236861,0.149088,0.151228,0.171578,0.114162,0.07034,0.075048,0.120358,0.125694,0.619177,0.540245,0.92042,0.52277,0.287531,0.318313,0.163205,0.203258,0.351734,0.297921,0.172733,0.200241,0.165711,0.115309,0.125783,0.143439,0.009202,0.333333,0.131474,0.315789,0.065737,0.014572,0.101322 +0,0,1,1,1,0,0.091469,0.014038,0.01255,0.448891,0.671297,0.679459,0.461327,0.453914,0.421805,0.387414,0.599077,0.522197,0.520524,0.717433,0.436501,0.425494,0.038277,0.025814,0.052281,0.103791,0.101897,0.13218,0.169578,0.218846,0.216355,0.501167,0.507805,0.280959,0.44571,0.46134,0.431942,0.244984,0.02128,0.119112,0.182517,0.118037,0.301239,0.198255,0.518821,0.658524,0.373024,0.372837,0.341382,0.261145,0.356821,0.315808,0.266522,0.187602,0.365252,0.318,0.928783,0.677065,0.372413,0.225554,0.230585,0.236648,0.340051,0.784142,0.412623,0.281982,0.483068,0.382121,0.221122,0.193904,0.054434,0.555556,0.320396,0.526316,0.145807,0.001478,0.327572 +1,0,0,0,1,1,0.456928,0.25184,0.13433,0.881598,0.242527,0.469451,0.41006,0.58886,0.519185,0.434953,0.619576,0.581887,0.597501,0.046285,0.407416,0.320864,0.281073,0.25167,0.049465,0.135849,0.119918,0.381437,0.324046,0.276293,0.347278,0.477432,0.448799,0.277486,0.468203,0.448168,0.608284,0.460876,0.103291,0.134829,0.098274,0.02561,0.12672,0.134163,0.254672,0.271449,0.225785,0.145899,0.079671,0.080019,0.170735,0.146269,0.182184,0.105799,0.278695,0.184845,0.922293,0.461366,0.273972,0.28388,0.32679,0.209762,0.514569,0.352414,0.294605,0.15876,0.223038,0.221636,0.217792,0.352805,0.020484,0.206349,0.002236,0.195489,0.15716,0.029046,0.086884 +0,0,1,1,1,0,0.134808,0.041087,0.048516,0.405211,0.853718,0.382912,0.285435,0.798884,0.797246,0.26014,0.502335,0.406529,0.764853,0.427172,0.542662,0.61122,0.039101,0.038749,0.050213,0.179873,0.11767,0.38985,0.056912,0.330432,0.28095,0.273886,0.323309,0.123224,0.401836,0.13964,0.391802,0.155027,0.051056,0.07958,0.238523,0.378565,0.343378,0.345126,0.186645,0.977995,0.401698,0.465187,0.320713,0.181259,0.43703,0.236763,0.311344,0.26044,0.336938,0.221506,0.937799,0.624948,0.560884,0.530655,0.163927,0.824464,0.529165,0.486406,0.376208,0.226567,0.324771,0.141902,0.261306,0.172973,0.019139,0.571429,0,0.541353,0.102674,0.137468,0.128768 +0,1,1,0,0,0,0.237972,0.30284,0.28243,0.656205,0.260425,0.618034,0.604051,0.518965,0.475901,0.658213,0.631986,0.513223,0.584601,0.426403,0.411009,0.33125,0.28521,0.585902,0.245332,0.371337,0.338308,0.545407,0.419273,0.376879,0.342988,0.378048,0.466523,0.24924,0.342141,0.326271,0.384217,0.195866,0.059693,0.337583,0.185922,0.173529,0.208705,0.324364,0.260902,0.263298,0.283564,0.179398,0.149353,0.09956,0.157697,0.149961,0.167071,0.073311,0.325224,0.424907,0.857218,0.472395,0.509669,0.463308,0.329696,0.352887,0.328622,0.403444,0.285528,0.15346,0.214239,0.164731,0.10827,0.068455,0.09559,0.507937,0.15695,0.481203,0.304784,0.102068,0.359101 +0,1,0,0,0,0,0.340115,0.155225,0.108587,0.574244,0.573636,0.198662,0.512713,0.437441,0.38829,0.305639,0.497176,0.277949,0.581723,0.418013,0.316509,0.23469,0.081273,0.057166,0.032126,0.099072,0.083239,0.060692,0.068112,0.145098,0.222595,0.306462,0.292738,0.242661,0.387068,0.393662,0.393684,0.239699,0.046443,0.072607,0.107315,0.317136,0.244426,0.144297,0.140506,0.252652,0.208696,0.283005,0.333748,0.23356,0.381763,0.316415,0.275767,0.124532,0.292705,0.214859,0.923425,0.504737,0.261283,0.177387,0.142609,0.077298,0.167279,0.205421,0.167268,0.282384,0.259853,0.24084,0.09369,0.128566,0.033192,0.666667,0.004016,0.631579,0.048647,0.131727,0.121288 diff --git a/bin/test/meka/classifiers/multilabel/BCC.ref b/bin/test/meka/classifiers/multilabel/BCC.ref new file mode 100644 index 00000000..762fe299 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/BCC.ref @@ -0,0 +1,456 @@ +== Model info + +Model +meka.classifiers.multilabel.BCC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25087 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25087 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.791859: 1 (26.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.791859: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (13.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.365321 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.471527 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.092078: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.092078 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.156562: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.156562 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.51788: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.51788: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763: 0 (25.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.471527: 1 (10.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.365321: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 0 (117.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.332043 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.565512 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.462412: 0 (21.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.462412 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.390197: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.390197: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.565512: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072788 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.463995: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.463995: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072788: 0 (103.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.113227: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.113227 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (3.0) +| | | | | | | BH_LowPeakBPM > 0.111111: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.332043 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309785 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.657953: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.657953: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309785: 0 (13.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543 +| | | | BH_LowPeakAmp <= 0.198356: 0 (3.0) +| | | | BH_LowPeakAmp > 0.198356: 1 (11.0/1.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multilabel.BCC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 0 (36.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (31.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | BH_LowPeakBPM <= 0.111111: 0 (10.0) +| | | | | BH_LowPeakBPM > 0.111111 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.07529: 0 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.07529 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.082247: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.082247 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.184785: 0 (15.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.184785: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.248081: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.248081 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.16608: 0 (8.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.16608: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292763: 1 (23.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292763 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.349755: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.349755: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935 +| | | | | | | | | BH_LowPeakBPM <= 0.666667: 0 (16.0) +| | | | | | | | | BH_LowPeakBPM > 0.666667 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.337032: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.337032: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281 +| | | | | BHSUM1 <= 0.099943: 0 (2.0) +| | | | | BHSUM1 > 0.099943: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | relaxing-clam- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.381116 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.564878 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.339827: 0 (16.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.339827 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.435357 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.521011: 1 (8.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.521011: 0 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.435357 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.434648: 0 (14.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.434648: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.564878: 1 (6.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.381116 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.210625 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.632552: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.632552: 0 (16.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.210625: 0 (48.0) +| | | | relaxing-clam- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.147569: 1 (8.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.147569 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.172111: 1 (7.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.172111 +| | | | | | | BH_LowPeakBPM <= 0.253968 +| | | | | | | | BH_HighPeakBPM <= 0.120301: 0 (8.0) +| | | | | | | | BH_HighPeakBPM > 0.120301 +| | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (6.0) +| | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.429817 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.622447: 1 (6.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.622447: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.429817 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.502771 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.149881: 1 (3.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.149881: 0 (14.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.502771: 1 (2.0) +| | | | | | | BH_LowPeakBPM > 0.253968 +| | | | | | | | BHSUM2 <= 0.015128 +| | | | | | | | | BH_LowPeakBPM <= 0.412698: 0 (3.0) +| | | | | | | | | BH_LowPeakBPM > 0.412698: 1 (5.0/1.0) +| | | | | | | | BHSUM2 > 0.015128 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.216603 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.460282: 0 (12.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.460282: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.216603: 0 (49.0) + +Number of Leaves : 44 + +Size of the tree : 87 + + +meka.classifiers.multilabel.BCC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (47.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | | BH_LowPeakAmp <= 0.074064: 1 (8.0/1.0) +| | | BH_LowPeakAmp > 0.074064: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.47477 +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.11111 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.540599: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.540599: 1 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.11111 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.387657 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.299209: 1 (25.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.299209 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.181886: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.181886 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585818 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.275415: 1 (10.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.275415 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.573631 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.497666: 0 (3.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.497666: 1 (7.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.573631: 0 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585818: 1 (18.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.387657: 1 (48.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.47477 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.611786 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.108906: 0 (8.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.108906 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.482825 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.333808 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.2803: 1 (36.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.2803 +| | | | | | | | | | BHSUM1 <= 0.157937 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.408844: 1 (10.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.408844: 0 (7.0/1.0) +| | | | | | | | | | BHSUM1 > 0.157937: 1 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.333808 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.293861: 1 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.293861 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.090405: 1 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.090405: 0 (7.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.482825 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.127159: 1 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.127159: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.611786 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.183936 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.164855: 0 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.164855: 1 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.183936: 0 (14.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (18.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121824: 0 (111.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121824 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.060774: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.060774 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589: 0 (27.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 1 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 34 + +Size of the tree : 67 + + +meka.classifiers.multilabel.BCC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.251971 +| | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.307419 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.372821 +| | | | | angry-aggresive- = 0 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.272351: 1 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.272351 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.513094: 0 (17.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.513094 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.320443: 0 (5.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.320443: 1 (5.0/1.0) +| | | | | angry-aggresive- = 1: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.372821: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.307419: 1 (11.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.251971 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.491812 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.467411: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.467411 +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.121323: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.121323 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.46309: 1 (30.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.46309: 0 (3.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.491812: 1 (51.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (27.0/1.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.632552 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.154181: 0 (60.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.154181 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.3985 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.458346: 0 (8.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.458346: 1 (5.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.3985 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.502771: 0 (30.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.502771: 1 (3.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.632552: 0 (196.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.583054 +| | | BHSUM3 <= 0.077388: 1 (3.0) +| | | BHSUM3 > 0.077388: 0 (13.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.583054: 1 (5.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.BCC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.139464: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.139464 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.35407 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.439508 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.260476 +| | | | | BH_LowPeakBPM <= 0.095238: 1 (5.0/1.0) +| | | | | BH_LowPeakBPM > 0.095238: 0 (20.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.260476: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.439508: 1 (10.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.35407 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.137354: 0 (4.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.137354: 1 (60.0/2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.156242 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.047203 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.298469: 0 (11.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.298469: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.047203: 0 (103.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.156242 +| | BH_HighPeakBPM <= 0.406015 +| | | BH_LowPeakBPM <= 0.301587 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.314687 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.625592 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.47271 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.462982: 0 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.462982 +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.308331: 0 (11.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.308331 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.218912: 0 (5.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.218912: 1 (9.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.47271: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.625592: 0 (15.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.314687: 0 (39.0/1.0) +| | | BH_LowPeakBPM > 0.301587 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.171399: 0 (14.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.171399 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.421766 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.180628: 1 (16.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.180628 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.536043: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.536043: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.421766: 0 (6.0) +| | BH_HighPeakBPM > 0.406015 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.412267 +| | | | BH_LowPeakAmp <= 0.056409 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.498845 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.578563 +| | | | | | | BH_LowPeakAmp <= 0.008161: 1 (2.0) +| | | | | | | BH_LowPeakAmp > 0.008161: 0 (34.0/3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.578563: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.498845: 1 (4.0) +| | | | BH_LowPeakAmp > 0.056409: 0 (34.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.412267: 0 (39.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.BCC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.171535 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.476219 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.170377 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.433263 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.391808 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.228531 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.51942: 1 (35.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.51942 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.159007: 1 (8.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.159007: 0 (8.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.228531 +| | | | | | | BHSUM1 <= 0.370239 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.24638: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.24638 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.065075: 1 (12.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.065075 +| | | | | | | | | | BH_HighPeakBPM <= 0.360902 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.317405: 1 (3.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.317405 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.102109: 0 (8.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.102109: 1 (4.0/1.0) +| | | | | | | | | | BH_HighPeakBPM > 0.360902: 1 (13.0/1.0) +| | | | | | | BHSUM1 > 0.370239 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.036421: 1 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.036421 +| | | | | | | | | BH_LowPeakBPM <= 0.126984: 1 (2.0) +| | | | | | | | | BH_LowPeakBPM > 0.126984: 0 (23.0/2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.391808: 0 (7.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.433263: 1 (15.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.170377 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.170371: 0 (21.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.170371 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.513891 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.060409: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.060409 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.64477 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.091007: 0 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.091007: 1 (11.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.64477: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.513891: 0 (6.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.476219: 1 (48.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.171535 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.086783: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.086783: 0 (36.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (36.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (171.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.BCC +Options [-X, Ibf, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info [0, 2, 1, 4, 5, 3] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/BPNN.ref b/bin/test/meka/classifiers/multilabel/BPNN.ref new file mode 100644 index 00000000..34d4ca0a --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/BPNN.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.BPNN +Options [-H, 10, -E, 100, -r, 0.1, -m, 0.1, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info h=10, E=100 +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/BR.ref b/bin/test/meka/classifiers/multilabel/BR.ref new file mode 100644 index 00000000..95be6fbf --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/BR.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.BR +Options [-W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/BRq.ref b/bin/test/meka/classifiers/multilabel/BRq.ref new file mode 100644 index 00000000..b3531866 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/BRq.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.BRq +Options [-P, 0.75, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/CC.ref b/bin/test/meka/classifiers/multilabel/CC.ref new file mode 100644 index 00000000..9e9376a5 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/CC.ref @@ -0,0 +1,456 @@ +== Model info + +Model +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25087 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25087 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.791859: 1 (26.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.791859: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (13.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.365321 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.471527 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.092078: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.092078 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.156562: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.156562 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.51788: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.51788: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763: 0 (25.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.471527: 1 (10.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.365321: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 0 (117.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.332043 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.565512 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.462412: 0 (21.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.462412 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.390197: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.390197: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.565512: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072788 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.463995: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.463995: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072788: 0 (103.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.113227: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.113227 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (3.0) +| | | | | | | BH_LowPeakBPM > 0.111111: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.332043 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309785 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.657953: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.657953: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309785: 0 (13.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543 +| | | | BH_LowPeakAmp <= 0.198356: 0 (3.0) +| | | | BH_LowPeakAmp > 0.198356: 1 (11.0/1.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 0 (36.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (31.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | BH_LowPeakBPM <= 0.111111: 0 (10.0) +| | | | | BH_LowPeakBPM > 0.111111 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.07529: 0 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.07529 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.082247: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.082247 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.184785: 0 (15.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.184785: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.248081: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.248081 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.16608: 0 (8.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.16608: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292763: 1 (23.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292763 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.349755: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.349755: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935 +| | | | | | | | | BH_LowPeakBPM <= 0.666667: 0 (16.0) +| | | | | | | | | BH_LowPeakBPM > 0.666667 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.337032: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.337032: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281 +| | | | | BHSUM1 <= 0.099943: 0 (2.0) +| | | | | BHSUM1 > 0.099943: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.60961: 0 (49.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.60961 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.634682: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.634682: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.215319 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.19897: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.19897 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.272647 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.254213 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.468044: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.468044 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.254213: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.272647 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.423528 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.19282: 0 (23.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.19282 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.673533 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.340063: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.340063 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238 +| | | | | | | | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (3.0) +| | | | | | | | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.488621: 0 (13.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.488621: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 0 (22.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.673533: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.423528: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.215319 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.678322: 1 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.678322: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 0 (17.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.235533 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.300987 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 1 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.300987: 1 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.235533: 0 (20.0/1.0) + +Number of Leaves : 44 + +Size of the tree : 87 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (47.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | | BH_LowPeakAmp <= 0.074064: 1 (8.0/1.0) +| | | BH_LowPeakAmp > 0.074064: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795 +| | | | happy-pleased- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.47477 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.093861: 0 (6.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.093861 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.229801: 1 (29.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.229801 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.304422 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.521198 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585418: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585418: 1 (5.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.521198 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.126911: 0 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.126911: 1 (13.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.304422: 1 (28.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.47477 +| | | | | | BHSUM3 <= 0.050393: 0 (7.0) +| | | | | | BHSUM3 > 0.050393 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.25455 +| | | | | | | | BH_HighPeakBPM <= 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.348523: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.348523 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.142582: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.142582 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.53614: 1 (28.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.53614: 0 (3.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.32499: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.32499 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.129771: 0 (5.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.129771 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.708545 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.311456: 0 (5.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.311456 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.209743: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.209743 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.088329 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.009323: 1 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.009323: 0 (2.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.088329: 1 (22.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.708545: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.25455: 0 (5.0) +| | | | happy-pleased- = 1 +| | | | | BHSUM2 <= 0.195962: 1 (49.0) +| | | | | BHSUM2 > 0.195962 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.370678: 0 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.370678: 1 (13.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (18.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121824: 0 (111.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121824 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | happy-pleased- = 0: 0 (16.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.236267: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.236267 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.183372: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.183372: 0 (10.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 36 + +Size of the tree : 71 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.459437: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.459437: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.449254 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.475707: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.475707: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.449254: 1 (94.0/2.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (22.0/1.0) +| amazed-suprised- = 1: 0 (17.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (214.0) +| | relaxing-clam- = 1 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.483131: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.483131: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.34292: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.34292: 1 (4.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.548333: 0 (40.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.548333: 1 (3.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.185862: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.185862 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.564216: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.564216: 1 (2.0) +| | happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | relaxing-clam- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.301923 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.174982 +| | | | | | BHSUM1 <= 0.184166: 0 (8.0) +| | | | | | BHSUM1 > 0.184166: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.174982 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.411047: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.411047: 1 (12.0) +| | | | amazed-suprised- = 1 +| | | | | BH_HighPeakAmp <= 0.097743: 0 (21.0) +| | | | | BH_HighPeakAmp > 0.097743 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502689 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.426252: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.426252 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.25777: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.25777: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502689: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.301923: 0 (112.0/3.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.489365: 0 (11.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.489365 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.155423: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.155423 +| | | | | BH_HighPeakAmp <= 0.334574 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40569: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40569 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.31743 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.478139: 0 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.478139 +| | | | | | | | | BHSUM1 <= 0.271004 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.526906: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.526906: 0 (2.0) +| | | | | | | | | BHSUM1 > 0.271004: 0 (8.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.31743: 1 (5.0) +| | | | | BH_HighPeakAmp > 0.334574: 1 (4.0) +| happy-pleased- = 1: 0 (128.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.101394 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.227777: 0 (6.0/1.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.227777: 1 (77.0/6.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.101394 +| | | BH_LowPeakAmp <= 0.008701: 1 (5.0) +| | | BH_LowPeakAmp > 0.008701 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.427854: 1 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.427854 +| | | | | relaxing-clam- = 0 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.369251: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.369251: 1 (2.0) +| | | | | relaxing-clam- = 1: 0 (14.0) +| happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (63.0) +| | | | amazed-suprised- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.171535 +| | | | | | BHSUM3 <= 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.501619: 1 (31.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.501619 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.356511: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.356511 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.30497: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.30497: 1 (7.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.468649: 1 (25.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.468649 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.561516: 0 (4.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.561516: 1 (4.0) +| | | | | | BHSUM3 > 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.592453: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.592453: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.171535: 0 (5.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.246989 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.330108 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.835713: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.835713: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.330108: 0 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.246989: 1 (6.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.366876 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.07883 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.07883: 0 (35.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.366876 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.196681 +| | | | | BH_HighPeakBPM <= 0.721805: 0 (12.0/1.0) +| | | | | BH_HighPeakBPM > 0.721805: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.196681: 1 (4.0) +| quiet-still- = 1: 0 (36.0/1.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (36.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (171.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.CC +Options [-S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info [0, 1, 2, 3, 4, 5] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/CCq.ref b/bin/test/meka/classifiers/multilabel/CCq.ref new file mode 100644 index 00000000..ecd76232 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/CCq.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.CCq +Options [-P, 0.75, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/CDN.ref b/bin/test/meka/classifiers/multilabel/CDN.ref new file mode 100644 index 00000000..4dddac35 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/CDN.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.CDN +Options [-I, 1000, -Ic, 100, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/CDT.ref b/bin/test/meka/classifiers/multilabel/CDT.ref new file mode 100644 index 00000000..579b63bf --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/CDT.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.CDT +Options [-H, -1, -L, 1, -X, None, -I, 1000, -Ic, 100, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/CT.ref b/bin/test/meka/classifiers/multilabel/CT.ref new file mode 100644 index 00000000..ef4e5a20 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/CT.ref @@ -0,0 +1,474 @@ +== Model info + +Model +meka.classifiers.multilabel.CT: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25087 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25087 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.791859: 1 (26.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.791859: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (13.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.365321 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.471527 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.092078: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.092078 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.156562: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.156562 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.51788: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.51788: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763: 0 (25.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.471527: 1 (10.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.365321: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 0 (117.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.332043 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.565512 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.462412: 0 (21.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.462412 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.390197: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.390197: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.565512: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072788 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.463995: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.463995: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072788: 0 (103.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.113227: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.113227 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (3.0) +| | | | | | | BH_LowPeakBPM > 0.111111: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.332043 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309785 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.657953: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.657953: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309785: 0 (13.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543 +| | | | BH_LowPeakAmp <= 0.198356: 0 (3.0) +| | | | BH_LowPeakAmp > 0.198356: 1 (11.0/1.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multilabel.CT: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 0 (36.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (31.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | BH_LowPeakBPM <= 0.111111: 0 (10.0) +| | | | | BH_LowPeakBPM > 0.111111 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.07529: 0 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.07529 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.082247: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.082247 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.184785: 0 (15.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.184785: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.248081: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.248081 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.16608: 0 (8.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.16608: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292763: 1 (23.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292763 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.349755: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.349755: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935 +| | | | | | | | | BH_LowPeakBPM <= 0.666667: 0 (16.0) +| | | | | | | | | BH_LowPeakBPM > 0.666667 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.337032: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.337032: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281 +| | | | | BHSUM1 <= 0.099943: 0 (2.0) +| | | | | BHSUM1 > 0.099943: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.60961: 0 (49.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.60961 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.634682: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.634682: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.215319 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.19897: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.19897 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.272647 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.254213 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.468044: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.468044 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.254213: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.272647 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.423528 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.19282: 0 (23.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.19282 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.673533 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.340063: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.340063 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238 +| | | | | | | | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (3.0) +| | | | | | | | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.488621: 0 (13.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.488621: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 0 (22.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.673533: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.423528: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.215319 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.678322: 1 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.678322: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 0 (17.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.235533 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.300987 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 1 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.300987: 1 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.235533: 0 (20.0/1.0) + +Number of Leaves : 44 + +Size of the tree : 87 + + +meka.classifiers.multilabel.CT: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (47.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | | BH_LowPeakAmp <= 0.074064: 1 (8.0/1.0) +| | | BH_LowPeakAmp > 0.074064: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.47477 +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.11111 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.540599: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.540599: 1 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.11111 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.387657 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.299209: 1 (25.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.299209 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.181886: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.181886 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585818 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.275415: 1 (10.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.275415 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.573631 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.497666: 0 (3.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.497666: 1 (7.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.573631: 0 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585818: 1 (18.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.387657: 1 (48.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.47477 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.611786 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.108906: 0 (8.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.108906 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.482825 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.333808 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.2803: 1 (36.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.2803 +| | | | | | | | | | BHSUM1 <= 0.157937 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.408844: 1 (10.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.408844: 0 (7.0/1.0) +| | | | | | | | | | BHSUM1 > 0.157937: 1 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.333808 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.293861: 1 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.293861 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.090405: 1 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.090405: 0 (7.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.482825 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.127159: 1 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.127159: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.611786 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.183936 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.164855: 0 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.164855: 1 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.183936: 0 (14.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (18.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121824: 0 (111.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121824 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.060774: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.060774 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589: 0 (27.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 1 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 34 + +Size of the tree : 67 + + +meka.classifiers.multilabel.CT: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | happy-pleased- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.064635: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.064635 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.45037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.475707: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.475707: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.45037 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.102435 +| | | | | | BH_LowPeakAmp <= 0.081941 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.63236: 1 (18.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.63236: 0 (2.0) +| | | | | | BH_LowPeakAmp > 0.081941: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.102435: 1 (80.0/1.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (18.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (27.0/1.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (214.0) +| | relaxing-clam- = 1 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.483131: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.483131: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.34292: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.34292: 1 (4.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.548333: 0 (40.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.548333: 1 (3.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.185862: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.185862 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.564216: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.564216: 1 (2.0) +| | happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CT: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.139464: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.139464 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.35407 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.439508 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.260476 +| | | | | BH_LowPeakBPM <= 0.095238: 1 (5.0/1.0) +| | | | | BH_LowPeakBPM > 0.095238: 0 (20.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.260476: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.439508: 1 (10.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.35407 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.137354: 0 (4.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.137354: 1 (60.0/2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.156242 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.047203 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.298469: 0 (11.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.298469: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.047203: 0 (103.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.156242 +| | BH_HighPeakBPM <= 0.406015 +| | | BH_LowPeakBPM <= 0.301587 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.314687 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.625592 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.47271 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.462982: 0 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.462982 +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.308331: 0 (11.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.308331 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.218912: 0 (5.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.218912: 1 (9.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.47271: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.625592: 0 (15.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.314687: 0 (39.0/1.0) +| | | BH_LowPeakBPM > 0.301587 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.171399: 0 (14.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.171399 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.421766 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.180628: 1 (16.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.180628 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.536043: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.536043: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.421766: 0 (6.0) +| | BH_HighPeakBPM > 0.406015 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.412267 +| | | | BH_LowPeakAmp <= 0.056409 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.498845 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.578563 +| | | | | | | BH_LowPeakAmp <= 0.008161: 1 (2.0) +| | | | | | | BH_LowPeakAmp > 0.008161: 0 (34.0/3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.578563: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.498845: 1 (4.0) +| | | | BH_LowPeakAmp > 0.056409: 0 (34.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.412267: 0 (39.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CT: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.704861 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.145508 +| | | | BH_HighPeakBPM <= 0.503759 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.025176: 1 (11.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.025176 +| | | | | | sad-lonely- = 0 +| | | | | | | BHSUM1 <= 0.370525 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.160722 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.109233 +| | | | | | | | | | BHSUM3 <= 0.212759: 1 (11.0) +| | | | | | | | | | BHSUM3 > 0.212759 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.313427 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.15389: 0 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.15389: 1 (8.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.313427: 0 (5.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.109233: 1 (20.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.160722 +| | | | | | | | | BHSUM2 <= 0.289251: 0 (9.0) +| | | | | | | | | BHSUM2 > 0.289251: 1 (4.0) +| | | | | | | BHSUM1 > 0.370525 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.245387 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.159007: 1 (5.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.159007 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.64551: 0 (18.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.64551 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.095515: 1 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.095515 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.474534: 0 (11.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.474534: 1 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.245387: 1 (7.0) +| | | | | | sad-lonely- = 1 +| | | | | | | BH_HighPeakAmp <= 0: 1 (3.0) +| | | | | | | BH_HighPeakAmp > 0 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.40921: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.40921: 0 (7.0) +| | | | BH_HighPeakBPM > 0.503759: 1 (31.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.145508 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.209833 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.348299: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.348299: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.209833 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.120315 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.279445: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.279445: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.120315: 0 (20.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.704861: 1 (18.0) +| quiet-still- = 1: 0 (14.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.396559 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.074965 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.195874: 0 (2.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.195874: 1 (8.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.074965 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.743176 +| | | | BH_LowPeakBPM <= 0: 1 (4.0/1.0) +| | | | BH_LowPeakBPM > 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.079576: 1 (5.0/2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.079576 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.5507: 0 (54.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.5507 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.138614: 1 (5.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.138614: 0 (8.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.743176: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.396559 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.101917 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.705803: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.705803: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.101917: 0 (164.0) + +Number of Leaves : 36 + +Size of the tree : 71 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.CT +Options [-H, -1, -L, 1, -X, Ibf, -Is, 0, -Iy, 10, -P, Exact match, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info 0.0 +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/DBPNN.ref b/bin/test/meka/classifiers/multilabel/DBPNN.ref new file mode 100644 index 00000000..daa40e95 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/DBPNN.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.DBPNN +Options [-N, 2, -H, 10, -E, 1000, -r, 0.1, -m, 0.1, -W, meka.classifiers.multilabel.BPNN, --, -H, 10, -E, 100, -r, 0.1, -m, 0.1, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info h=10, E=1000 +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/FW.ref b/bin/test/meka/classifiers/multilabel/FW.ref new file mode 100644 index 00000000..79791e65 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/FW.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.FW +Options [-W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/LC.ref b/bin/test/meka/classifiers/multilabel/LC.ref new file mode 100644 index 00000000..a1f75fd4 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/LC.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.LC +Options [-W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info K = 27, N = 491 +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/MCC.ref b/bin/test/meka/classifiers/multilabel/MCC.ref new file mode 100644 index 00000000..5aa2008b --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/MCC.ref @@ -0,0 +1,456 @@ +== Model info + +Model +meka.classifiers.multilabel.MCC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25087 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25087 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.791859: 1 (26.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.791859: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (13.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.365321 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.471527 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.092078: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.092078 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.156562: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.156562 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.51788: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.51788: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763: 0 (25.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.471527: 1 (10.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.365321: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 0 (117.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.332043 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.565512 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.462412: 0 (21.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.462412 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.390197: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.390197: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.565512: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072788 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.463995: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.463995: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072788: 0 (103.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.113227: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.113227 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (3.0) +| | | | | | | BH_LowPeakBPM > 0.111111: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.332043 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309785 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.657953: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.657953: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309785: 0 (13.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543 +| | | | BH_LowPeakAmp <= 0.198356: 0 (3.0) +| | | | BH_LowPeakAmp > 0.198356: 1 (11.0/1.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multilabel.MCC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 0 (36.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (31.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | BH_LowPeakBPM <= 0.111111: 0 (10.0) +| | | | | BH_LowPeakBPM > 0.111111 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.07529: 0 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.07529 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.082247: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.082247 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.184785: 0 (15.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.184785: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.248081: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.248081 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.16608: 0 (8.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.16608: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292763: 1 (23.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292763 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.349755: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.349755: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935 +| | | | | | | | | BH_LowPeakBPM <= 0.666667: 0 (16.0) +| | | | | | | | | BH_LowPeakBPM > 0.666667 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.337032: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.337032: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281 +| | | | | BHSUM1 <= 0.099943: 0 (2.0) +| | | | | BHSUM1 > 0.099943: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.60961: 0 (49.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.60961 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.634682: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.634682: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.215319 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.19897: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.19897 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.272647 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.254213 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.468044: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.468044 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.254213: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.272647 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.423528 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.19282: 0 (23.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.19282 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.673533 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.340063: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.340063 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238 +| | | | | | | | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (3.0) +| | | | | | | | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.488621: 0 (13.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.488621: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 0 (22.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.673533: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.423528: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.215319 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.678322: 1 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.678322: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 0 (17.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.235533 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.300987 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 1 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.300987: 1 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.235533: 0 (20.0/1.0) + +Number of Leaves : 44 + +Size of the tree : 87 + + +meka.classifiers.multilabel.MCC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (47.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | | BH_LowPeakAmp <= 0.074064: 1 (8.0/1.0) +| | | BH_LowPeakAmp > 0.074064: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795 +| | | | happy-pleased- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.47477 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.093861: 0 (6.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.093861 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.229801: 1 (29.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.229801 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.304422 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.521198 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585418: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585418: 1 (5.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.521198 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.126911: 0 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.126911: 1 (13.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.304422: 1 (28.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.47477 +| | | | | | BHSUM3 <= 0.050393: 0 (7.0) +| | | | | | BHSUM3 > 0.050393 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.25455 +| | | | | | | | BH_HighPeakBPM <= 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.348523: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.348523 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.142582: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.142582 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.53614: 1 (28.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.53614: 0 (3.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.32499: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.32499 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.129771: 0 (5.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.129771 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.708545 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.311456: 0 (5.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.311456 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.209743: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.209743 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.088329 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.009323: 1 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.009323: 0 (2.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.088329: 1 (22.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.708545: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.25455: 0 (5.0) +| | | | happy-pleased- = 1 +| | | | | BHSUM2 <= 0.195962: 1 (49.0) +| | | | | BHSUM2 > 0.195962 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.370678: 0 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.370678: 1 (13.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (18.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121824: 0 (111.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121824 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | happy-pleased- = 0: 0 (16.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.236267: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.236267 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.183372: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.183372: 0 (10.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 36 + +Size of the tree : 71 + + +meka.classifiers.multilabel.MCC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.459437: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.459437: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.449254 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.475707: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.475707: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.449254: 1 (94.0/2.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (22.0/1.0) +| amazed-suprised- = 1: 0 (17.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (214.0) +| | relaxing-clam- = 1 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.483131: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.483131: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.34292: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.34292: 1 (4.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.548333: 0 (40.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.548333: 1 (3.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.185862: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.185862 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.564216: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.564216: 1 (2.0) +| | happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.MCC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | relaxing-clam- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.301923 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.174982 +| | | | | | BHSUM1 <= 0.184166: 0 (8.0) +| | | | | | BHSUM1 > 0.184166: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.174982 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.411047: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.411047: 1 (12.0) +| | | | amazed-suprised- = 1 +| | | | | BH_HighPeakAmp <= 0.097743: 0 (21.0) +| | | | | BH_HighPeakAmp > 0.097743 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502689 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.426252: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.426252 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.25777: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.25777: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502689: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.301923: 0 (112.0/3.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.489365: 0 (11.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.489365 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.155423: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.155423 +| | | | | BH_HighPeakAmp <= 0.334574 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40569: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40569 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.31743 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.478139: 0 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.478139 +| | | | | | | | | BHSUM1 <= 0.271004 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.526906: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.526906: 0 (2.0) +| | | | | | | | | BHSUM1 > 0.271004: 0 (8.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.31743: 1 (5.0) +| | | | | BH_HighPeakAmp > 0.334574: 1 (4.0) +| happy-pleased- = 1: 0 (128.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.101394 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.227777: 0 (6.0/1.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.227777: 1 (77.0/6.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.101394 +| | | BH_LowPeakAmp <= 0.008701: 1 (5.0) +| | | BH_LowPeakAmp > 0.008701 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.427854: 1 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.427854 +| | | | | relaxing-clam- = 0 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.369251: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.369251: 1 (2.0) +| | | | | relaxing-clam- = 1: 0 (14.0) +| happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.MCC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (63.0) +| | | | amazed-suprised- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.171535 +| | | | | | BHSUM3 <= 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.501619: 1 (31.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.501619 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.356511: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.356511 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.30497: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.30497: 1 (7.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.468649: 1 (25.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.468649 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.561516: 0 (4.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.561516: 1 (4.0) +| | | | | | BHSUM3 > 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.592453: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.592453: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.171535: 0 (5.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.246989 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.330108 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.835713: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.835713: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.330108: 0 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.246989: 1 (6.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.366876 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.07883 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.07883: 0 (35.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.366876 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.196681 +| | | | | BH_HighPeakBPM <= 0.721805: 0 (12.0/1.0) +| | | | | BH_HighPeakBPM > 0.721805: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.196681: 1 (4.0) +| quiet-still- = 1: 0 (36.0/1.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (36.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (171.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.MCC +Options [-Is, 0, -Iy, 10, -P, Exact match, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info [0, 1, 2, 3, 4, 5] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/MLCBMaD.ref b/bin/test/meka/classifiers/multilabel/MLCBMaD.ref new file mode 100644 index 00000000..428ab392 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/MLCBMaD.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.MLCBMaD +Options [-size, 5, -threshold, 0.5, -W, meka.classifiers.multilabel.BR, --, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/MULAN.ref b/bin/test/meka/classifiers/multilabel/MULAN.ref new file mode 100644 index 00000000..aefe9822 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/MULAN.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.MULAN +Options [-S, RAkEL1, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/MajorityLabelset.ref b/bin/test/meka/classifiers/multilabel/MajorityLabelset.ref new file mode 100644 index 00000000..b724a122 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/MajorityLabelset.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.MajorityLabelset +Options [] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/Maniac.ref b/bin/test/meka/classifiers/multilabel/Maniac.ref new file mode 100644 index 00000000..a81fc87e --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/Maniac.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.Maniac +Options [-compression, 0.85, -numberAutoencoders, 1, -W, meka.classifiers.multitarget.CR, --, -W, weka.classifiers.functions.LinearRegression, --, -S, 0, -R, 1.0E-8, -num-decimal-places, 4] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/PCC.ref b/bin/test/meka/classifiers/multilabel/PCC.ref new file mode 100644 index 00000000..afaeef0c --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/PCC.ref @@ -0,0 +1,456 @@ +== Model info + +Model +meka.classifiers.multilabel.PCC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25087 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25087 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.791859: 1 (26.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.791859: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (13.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.365321 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.471527 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.092078: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.092078 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.156562: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.156562 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.51788: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.51788: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763: 0 (25.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.471527: 1 (10.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.365321: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 0 (117.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.332043 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.565512 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.462412: 0 (21.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.462412 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.390197: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.390197: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.565512: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072788 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.463995: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.463995: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072788: 0 (103.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.113227: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.113227 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (3.0) +| | | | | | | BH_LowPeakBPM > 0.111111: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.332043 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309785 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.657953: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.657953: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309785: 0 (13.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543 +| | | | BH_LowPeakAmp <= 0.198356: 0 (3.0) +| | | | BH_LowPeakAmp > 0.198356: 1 (11.0/1.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multilabel.PCC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 0 (36.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (31.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | BH_LowPeakBPM <= 0.111111: 0 (10.0) +| | | | | BH_LowPeakBPM > 0.111111 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.07529: 0 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.07529 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.082247: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.082247 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.184785: 0 (15.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.184785: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.248081: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.248081 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.16608: 0 (8.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.16608: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292763: 1 (23.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292763 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.349755: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.349755: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935 +| | | | | | | | | BH_LowPeakBPM <= 0.666667: 0 (16.0) +| | | | | | | | | BH_LowPeakBPM > 0.666667 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.337032: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.337032: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281 +| | | | | BHSUM1 <= 0.099943: 0 (2.0) +| | | | | BHSUM1 > 0.099943: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.60961: 0 (49.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.60961 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.634682: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.634682: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.215319 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.19897: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.19897 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.272647 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.254213 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.468044: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.468044 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.254213: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.272647 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.423528 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.19282: 0 (23.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.19282 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.673533 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.340063: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.340063 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238 +| | | | | | | | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (3.0) +| | | | | | | | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.488621: 0 (13.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.488621: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 0 (22.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.673533: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.423528: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.215319 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.678322: 1 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.678322: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 0 (17.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.235533 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.300987 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 1 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.300987: 1 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.235533: 0 (20.0/1.0) + +Number of Leaves : 44 + +Size of the tree : 87 + + +meka.classifiers.multilabel.PCC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (47.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | | BH_LowPeakAmp <= 0.074064: 1 (8.0/1.0) +| | | BH_LowPeakAmp > 0.074064: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795 +| | | | happy-pleased- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.47477 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.093861: 0 (6.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.093861 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.229801: 1 (29.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.229801 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.304422 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.521198 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585418: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585418: 1 (5.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.521198 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.126911: 0 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.126911: 1 (13.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.304422: 1 (28.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.47477 +| | | | | | BHSUM3 <= 0.050393: 0 (7.0) +| | | | | | BHSUM3 > 0.050393 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.25455 +| | | | | | | | BH_HighPeakBPM <= 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.348523: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.348523 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.142582: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.142582 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.53614: 1 (28.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.53614: 0 (3.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.32499: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.32499 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.129771: 0 (5.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.129771 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.708545 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.311456: 0 (5.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.311456 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.209743: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.209743 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.088329 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.009323: 1 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.009323: 0 (2.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.088329: 1 (22.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.708545: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.25455: 0 (5.0) +| | | | happy-pleased- = 1 +| | | | | BHSUM2 <= 0.195962: 1 (49.0) +| | | | | BHSUM2 > 0.195962 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.370678: 0 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.370678: 1 (13.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (18.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121824: 0 (111.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121824 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | happy-pleased- = 0: 0 (16.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.236267: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.236267 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.183372: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.183372: 0 (10.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 36 + +Size of the tree : 71 + + +meka.classifiers.multilabel.PCC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.459437: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.459437: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.449254 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.475707: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.475707: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.449254: 1 (94.0/2.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (22.0/1.0) +| amazed-suprised- = 1: 0 (17.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (214.0) +| | relaxing-clam- = 1 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.483131: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.483131: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.34292: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.34292: 1 (4.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.548333: 0 (40.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.548333: 1 (3.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.185862: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.185862 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.564216: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.564216: 1 (2.0) +| | happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.PCC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | relaxing-clam- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.301923 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.174982 +| | | | | | BHSUM1 <= 0.184166: 0 (8.0) +| | | | | | BHSUM1 > 0.184166: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.174982 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.411047: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.411047: 1 (12.0) +| | | | amazed-suprised- = 1 +| | | | | BH_HighPeakAmp <= 0.097743: 0 (21.0) +| | | | | BH_HighPeakAmp > 0.097743 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502689 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.426252: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.426252 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.25777: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.25777: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502689: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.301923: 0 (112.0/3.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.489365: 0 (11.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.489365 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.155423: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.155423 +| | | | | BH_HighPeakAmp <= 0.334574 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40569: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40569 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.31743 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.478139: 0 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.478139 +| | | | | | | | | BHSUM1 <= 0.271004 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.526906: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.526906: 0 (2.0) +| | | | | | | | | BHSUM1 > 0.271004: 0 (8.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.31743: 1 (5.0) +| | | | | BH_HighPeakAmp > 0.334574: 1 (4.0) +| happy-pleased- = 1: 0 (128.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.101394 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.227777: 0 (6.0/1.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.227777: 1 (77.0/6.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.101394 +| | | BH_LowPeakAmp <= 0.008701: 1 (5.0) +| | | BH_LowPeakAmp > 0.008701 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.427854: 1 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.427854 +| | | | | relaxing-clam- = 0 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.369251: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.369251: 1 (2.0) +| | | | | relaxing-clam- = 1: 0 (14.0) +| happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.PCC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (63.0) +| | | | amazed-suprised- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.171535 +| | | | | | BHSUM3 <= 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.501619: 1 (31.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.501619 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.356511: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.356511 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.30497: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.30497: 1 (7.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.468649: 1 (25.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.468649 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.561516: 0 (4.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.561516: 1 (4.0) +| | | | | | BHSUM3 > 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.592453: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.592453: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.171535: 0 (5.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.246989 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.330108 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.835713: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.835713: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.330108: 0 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.246989: 1 (6.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.366876 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.07883 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.07883: 0 (35.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.366876 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.196681 +| | | | | BH_HighPeakBPM <= 0.721805: 0 (12.0/1.0) +| | | | | BH_HighPeakBPM > 0.721805: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.196681: 1 (4.0) +| quiet-still- = 1: 0 (36.0/1.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (36.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (171.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.PCC +Options [-S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info [0, 1, 2, 3, 4, 5] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/PLST.ref b/bin/test/meka/classifiers/multilabel/PLST.ref new file mode 100644 index 00000000..82d3aa9a --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/PLST.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.PLST +Options [-size, 3, -W, meka.classifiers.multitarget.CR, --, -W, weka.classifiers.functions.LinearRegression, --, -S, 0, -R, 1.0E-8, -num-decimal-places, 4] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/PMCC.ref b/bin/test/meka/classifiers/multilabel/PMCC.ref new file mode 100644 index 00000000..c0ee086f --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/PMCC.ref @@ -0,0 +1,22 @@ +== Model info + +Model No model built yet +== Evaluation Info + +Classifier meka.classifiers.multilabel.PMCC +Options [-M, 10, -O, 0, -B, 0.03, -Is, 50, -Iy, 10, -P, Exact match, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info null +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/PS.ref b/bin/test/meka/classifiers/multilabel/PS.ref new file mode 100644 index 00000000..dc1660fa --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/PS.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.PS +Options [-P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/PSt.ref b/bin/test/meka/classifiers/multilabel/PSt.ref new file mode 100644 index 00000000..7d1bcda3 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/PSt.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.PSt +Options [-P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/RAkEL.ref b/bin/test/meka/classifiers/multilabel/RAkEL.ref new file mode 100644 index 00000000..830512de --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/RAkEL.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.RAkEL +Options [-M, 10, -k, 3, -P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info {[1, 2, 4][2, 3, 4][0, 3, 4][1, 3, 5][2, 4, 5][1, 2, 5][1, 2, 3][1, 3, 5][3, 4, 5][0, 1, 5]} +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/RAkELd.ref b/bin/test/meka/classifiers/multilabel/RAkELd.ref new file mode 100644 index 00000000..360d674a --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/RAkELd.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.RAkELd +Options [-k, 3, -P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info {[1, 2, 4][0, 3, 5]} +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/RT.ref b/bin/test/meka/classifiers/multilabel/RT.ref new file mode 100644 index 00000000..0a1700e1 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/RT.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.RT +Options [-W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/incremental/BRUpdateable.ref b/bin/test/meka/classifiers/multilabel/incremental/BRUpdateable.ref new file mode 100644 index 00000000..239568eb --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/incremental/BRUpdateable.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.incremental.BRUpdateable +Options [-W, weka.classifiers.trees.HoeffdingTree, --, -L, 2, -S, 1, -E, 1.0E-7, -H, 0.05, -M, 0.01, -G, 200.0, -N, 0.0] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/incremental/CCUpdateable.ref b/bin/test/meka/classifiers/multilabel/incremental/CCUpdateable.ref new file mode 100644 index 00000000..98ab7855 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/incremental/CCUpdateable.ref @@ -0,0 +1,22 @@ +== Model info + +Model No model built yet +== Evaluation Info + +Classifier meka.classifiers.multilabel.incremental.CCUpdateable +Options [-S, 0, -W, weka.classifiers.trees.HoeffdingTree, --, -L, 2, -S, 1, -E, 1.0E-7, -H, 0.05, -M, 0.01, -G, 200.0, -N, 0.0] +Additional Info null +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateable.ref b/bin/test/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateable.ref new file mode 100644 index 00000000..7de7c127 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateable.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.incremental.MajorityLabelsetUpdateable +Options [] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/incremental/PSUpdateable.ref b/bin/test/meka/classifiers/multilabel/incremental/PSUpdateable.ref new file mode 100644 index 00000000..e8bb004b --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/incremental/PSUpdateable.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.incremental.PSUpdateable +Options [-I, 1000, -support, 10, -P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.HoeffdingTree, --, -L, 2, -S, 1, -E, 1.0E-7, -H, 0.05, -M, 0.01, -G, 200.0, -N, 0.0] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/incremental/RTUpdateable.ref b/bin/test/meka/classifiers/multilabel/incremental/RTUpdateable.ref new file mode 100644 index 00000000..bba50318 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/incremental/RTUpdateable.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.incremental.RTUpdateable +Options [-W, weka.classifiers.trees.HoeffdingTree, --, -L, 2, -S, 1, -E, 1.0E-7, -H, 0.05, -M, 0.01, -G, 200.0, -N, 0.0] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/BaggingML.ref b/bin/test/meka/classifiers/multilabel/meta/BaggingML.ref new file mode 100644 index 00000000..a7693ce9 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/BaggingML.ref @@ -0,0 +1,3264 @@ +== Model info + +Model +meka.classifiers.multilabel.meta.BaggingML: Model #1 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.062609: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.062609 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.085235: 1 (37.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.085235 +| | | | | BH_LowPeakBPM <= 0.126984: 1 (16.0) +| | | | | BH_LowPeakBPM > 0.126984 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.46524 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.173605 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.307977 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.254326 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.139798 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.43009 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.171128: 1 (31.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.171128 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.505425: 1 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.505425: 0 (5.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.43009: 0 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.139798 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.134218: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.134218: 0 (12.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.254326: 0 (7.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.307977: 0 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.173605: 1 (30.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.46524: 0 (10.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.550262 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884: 0 (34.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.40629: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.40629: 1 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.550262: 1 (3.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.285892: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.285892 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.038976: 1 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.038976: 0 (45.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.209473 +| | BH_HighPeakAmp <= 0.038984: 0 (14.0) +| | BH_HighPeakAmp > 0.038984 +| | | sad-lonely- = 0: 1 (6.0) +| | | sad-lonely- = 1: 0 (2.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.209473 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.336869 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.338679: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.338679: 0 (7.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.336869: 0 (180.0/1.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Mean_Mem40_Centroid <= 0.25266 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.075313 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.185687: 0 (47.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.185687: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.075313 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.231562 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.363976: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.363976: 0 (28.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.231562 +| | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.037281: 1 (15.0) +| | | | Std_Acc1298_Mean_Mem40_Centroid > 0.037281 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.58792 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.062231: 0 (15.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.062231 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.332912 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.053199: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.053199 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.07409: 0 (5.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.07409 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.191358 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.186189 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.066702: 0 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.066702 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.298876: 1 (20.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.298876: 0 (3.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.186189: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.191358: 1 (53.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.332912 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.17008: 0 (17.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.17008 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.378935: 1 (10.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.378935 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.825112 +| | | | | | | | | | | BHSUM1 <= 0.020902: 1 (5.0) +| | | | | | | | | | | BHSUM1 > 0.020902 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.2296 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.184712 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.130768: 0 (4.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.130768: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.184712: 0 (25.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.2296 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.638742: 1 (11.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.638742: 0 (7.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.825112: 1 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.58792 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.156986: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.156986 +| | | | | | | BH_LowPeakBPM <= 0.15873 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.512752: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.512752: 0 (3.0) +| | | | | | | BH_LowPeakBPM > 0.15873: 0 (23.0) +| Std_Acc1298_Mean_Mem40_Centroid > 0.25266: 0 (33.0) +sad-lonely- = 1: 0 (140.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.109627 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.122423 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.627866: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.627866: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.122423: 0 (116.0) +Std_Acc1298_Mean_Mem40_MFCC_7 > 0.109627 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.081579: 0 (32.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.081579 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.110312 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.140396: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.140396: 0 (19.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.110312 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.234127 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.293291: 0 (13.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.293291: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.234127 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.851509 +| | | | | | BHSUM2 <= 0.268022 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.605375 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.564565 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.218647 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.386964: 1 (7.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.386964: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.218647 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.70408: 1 (152.0/3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.70408 +| | | | | | | | | | | BH_HighPeakBPM <= 0.421053: 1 (7.0) +| | | | | | | | | | | BH_HighPeakBPM > 0.421053: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.564565 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.241799: 1 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.241799: 0 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.605375 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.517785 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.194512: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.194512: 1 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.517785: 0 (8.0) +| | | | | | BHSUM2 > 0.268022 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.265536 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.167958: 0 (16.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.167958: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.265536: 1 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.851509 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.477852: 1 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.477852 +| | | | | | | BH_LowPeakAmp <= 0.014247: 1 (2.0) +| | | | | | | BH_LowPeakAmp > 0.014247: 0 (15.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.30849: 0 (37.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.30849: 1 (2.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.155448 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.170668 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.302253 +| | | | | sad-lonely- = 0: 0 (6.0/1.0) +| | | | | sad-lonely- = 1: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.302253: 1 (100.0/2.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.170668 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.465933: 0 (24.0/2.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.465933: 1 (7.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.36763: 0 (22.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.36763: 1 (4.0) +| amazed-suprised- = 1: 0 (14.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.155448 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.486461 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.672727: 0 (259.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.672727 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.164488: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.164488 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.674618: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.674618: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.486461 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.722982: 0 (14.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.722982: 1 (6.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.097773 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.094467: 0 (11.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.094467 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.374341 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.152256 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.451149 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.09124: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.09124 +| | | | | | BHSUM3 <= 0.076709 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.546357: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.546357: 0 (2.0) +| | | | | | BHSUM3 > 0.076709: 1 (34.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.451149 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.319273: 1 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.319273 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.496532: 0 (15.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.496532: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.152256: 0 (6.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.374341: 1 (33.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.097773 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.278622 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.038966 +| | | BH_LowPeakBPM <= 0.142857: 1 (2.0) +| | | BH_LowPeakBPM > 0.142857: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.038966: 0 (127.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.278622 +| | BHSUM3 <= 0.057093 +| | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.27632: 1 (10.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.27632: 0 (3.0) +| | BHSUM3 > 0.057093 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.201931 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.852536: 0 (65.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.852536 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.423468: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.423468: 0 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.201931 +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.137961: 0 (34.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.137961 +| | | | | BH_LowPeakBPM <= 0.174603: 0 (15.0) +| | | | | BH_LowPeakBPM > 0.174603 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.408677 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.157023: 1 (24.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.157023: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.408677 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.127159: 1 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.127159 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44194: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44194 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.315692 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.337936: 1 (8.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.337936 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.409839: 1 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.409839 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.512611 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.275672 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.333808: 1 (3.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.333808: 0 (2.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.275672: 0 (18.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.512611: 1 (3.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.315692: 0 (18.0) + +Number of Leaves : 31 + +Size of the tree : 61 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.475018 +| | happy-pleased- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.362829 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.179201: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.179201 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.502735: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.502735: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.541782 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.087013: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.087013: 1 (77.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.541782 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.573498: 1 (8.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.573498 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.60191: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.60191: 0 (12.0) +| | | | sad-lonely- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.727606 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.225772: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.225772: 0 (19.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.727606: 1 (8.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.362829: 0 (27.0/1.0) +| | happy-pleased- = 1 +| | | BHSUM3 <= 0.126293: 1 (4.0/1.0) +| | | BHSUM3 > 0.126293 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.125611: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.125611 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.085729 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.242453: 0 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.242453: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.085729: 0 (47.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.475018: 1 (35.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.085854 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.156952: 1 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.156952: 0 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.085854: 0 (201.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.meta.BaggingML: Model #2 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_9 <= 0.166935 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.186135 +| | Std_Acc1298_Std_Mem40_Flux <= 0.843976 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.490084: 0 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.490084: 1 (3.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.843976 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.293394 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.722933 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.091185 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.174692: 1 (10.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.174692: 0 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.091185: 1 (68.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.722933 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.235598: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.235598: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.293394: 0 (5.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.186135: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_9 > 0.166935 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.791142 +| | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.109499 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.536586: 1 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.536586: 0 (7.0) +| | Std_Acc1298_Std_Mem40_MFCC_3 > 0.109499 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.40699 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.243007 +| | | | | BH_HighPeakAmp <= 0.023816: 0 (23.0) +| | | | | BH_HighPeakAmp > 0.023816 +| | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.364261: 1 (13.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.364261: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.243007: 0 (218.0/3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.40699 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.687798 +| | | | | BH_HighPeakAmp <= 0.002477: 0 (6.0) +| | | | | BH_HighPeakAmp > 0.002477 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.079358: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.079358 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.374187 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.224895: 0 (3.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.224895: 1 (16.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.374187: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.687798: 0 (16.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.791142 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.169033: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.169033 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.305575: 0 (9.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.305575 +| | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.035793: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_Centroid > 0.035793: 1 (31.0/1.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.322293 +| | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.275346 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.175514 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.534735 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.206905: 1 (14.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.206905 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.424305 +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.186372: 0 (34.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.186372 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.63253: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.63253: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.424305: 1 (6.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.534735: 0 (62.0/2.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.175514 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.586563: 1 (16.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.586563: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.275346 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.475561 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.163121 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.726286: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.726286: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.163121 +| | | | | amazed-suprised- = 0 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.428211: 1 (34.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.428211 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.295048: 1 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.295048 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.275415 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.307994: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.307994: 1 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.275415: 1 (6.0) +| | | | | amazed-suprised- = 1: 1 (20.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.475561 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.290836: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.290836: 1 (4.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.322293: 0 (83.0/3.0) +angry-aggresive- = 1 +| BH_HighPeakBPM <= 0.721805 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.394482: 0 (147.0/4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.394482 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.315836: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.315836: 1 (5.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.261102: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.261102: 1 (5.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.085022: 0 (29.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.085022 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.479538 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.290861 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.507365: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.507365: 1 (16.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.290861 +| | | | | | BHSUM2 <= 0.008314 +| | | | | | | quiet-still- = 0: 1 (4.0) +| | | | | | | quiet-still- = 1: 0 (2.0) +| | | | | | BHSUM2 > 0.008314: 1 (113.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.479538 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.102056: 0 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.102056 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.351892: 1 (35.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.351892 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (8.0) +| | | | | | | BH_LowPeakBPM > 0.111111 +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.076277 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.038582 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.247543: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.247543: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.038582: 1 (11.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.076277 +| | | | | | | | | quiet-still- = 0 +| | | | | | | | | | happy-pleased- = 0: 1 (2.0) +| | | | | | | | | | happy-pleased- = 1: 0 (3.0) +| | | | | | | | | quiet-still- = 1: 0 (15.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (13.0/1.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.415002 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.805173 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.034486: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.034486: 0 (42.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.805173: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.415002: 1 (5.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.410181: 0 (147.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.410181 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.095475: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.095475: 0 (13.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.066702 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.491812: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.491812: 1 (8.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.066702: 0 (303.0/3.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.170371 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.197742 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.086724: 0 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.086724: 1 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.197742 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.643657: 1 (83.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.643657 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.416762: 1 (17.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.416762: 0 (6.0) +| | | happy-pleased- = 1 +| | | | BH_HighPeakBPM <= 0.661654: 0 (19.0) +| | | | BH_HighPeakBPM > 0.661654: 1 (3.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (11.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.170371: 0 (17.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.139123: 0 (16.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.139123 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.531428 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.696986 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.154191: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.154191 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.384324 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.221873: 0 (11.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.221873: 1 (9.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.384324 +| | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.927346: 1 (30.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.927346 +| | | | | | | | | relaxing-clam- = 0: 1 (3.0) +| | | | | | | | | relaxing-clam- = 1: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.696986: 0 (7.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.531428: 0 (8.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.868497 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.474006: 0 (108.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.474006 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.113433: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.113433: 0 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.868497 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.320498: 0 (13.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.320498: 1 (6.0) +| | | relaxing-clam- = 1: 1 (4.0/1.0) +| happy-pleased- = 1 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.212478: 0 (127.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.212478 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373: 0 (5.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 1 (2.0) +quiet-still- = 1 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178599: 0 (14.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.178599 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.404122 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081653: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081653 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.405595 +| | | | | | BH_LowPeakAmp <= 0.06301: 1 (65.0) +| | | | | | BH_LowPeakAmp > 0.06301 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.227995: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.227995: 1 (17.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.405595 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.656119: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.656119: 1 (2.0) +| | | happy-pleased- = 1: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.404122: 0 (7.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.15049 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.050479: 0 (21.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.050479 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.233924 +| | | BH_HighPeakBPM <= 0.548872 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.157275: 1 (16.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.157275 +| | | | | BH_LowPeakAmp <= 0.361027 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.387806 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.243457 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.237803: 1 (9.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.237803 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.192076 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.352784: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.352784: 1 (5.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.192076: 0 (13.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.243457 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.148866: 1 (48.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.148866 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.299474: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.299474: 1 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 0 (12.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.387806 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.065699: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.065699: 0 (26.0) +| | | | | BH_LowPeakAmp > 0.361027 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.322782 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.330281: 1 (3.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.330281: 0 (37.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.322782: 1 (3.0) +| | | BH_HighPeakBPM > 0.548872 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515: 1 (56.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (3.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.233924 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.694119: 0 (37.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.694119: 1 (5.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.15049 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.14816 +| | Std_Acc1298_Std_Mem40_Flux <= 0.920943: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.920943: 1 (5.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.14816 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.295795: 0 (150.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.295795 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.433987: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.433987: 0 (14.0/1.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.meta.BaggingML: Model #3 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.283809: 1 (54.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.283809 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.305565: 0 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.305565: 1 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.193843 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.259561: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.259561 +| | | BH_LowPeakBPM <= 0.793651 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.035926: 0 (4.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.035926 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.421635: 1 (36.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.421635: 0 (2.0) +| | | BH_LowPeakBPM > 0.793651: 0 (4.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.193843 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.143859 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.322092: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.322092: 1 (12.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.143859 +| | | quiet-still- = 0 +| | | | BH_LowPeakBPM <= 0.222222 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.58361 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.391525 +| | | | | | | BHSUM1 <= 0.266955 +| | | | | | | | BH_LowPeakBPM <= 0.142857: 1 (4.0) +| | | | | | | | BH_LowPeakBPM > 0.142857: 0 (11.0) +| | | | | | | BHSUM1 > 0.266955: 1 (13.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.391525: 0 (39.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.58361 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502689: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502689: 1 (11.0) +| | | | BH_LowPeakBPM > 0.222222 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.169456 +| | | | | | BH_LowPeakBPM <= 0.365079: 0 (6.0) +| | | | | | BH_LowPeakBPM > 0.365079: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.169456 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.539543: 0 (132.0/4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.539543 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557981: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557981: 0 (4.0) +| | | quiet-still- = 1: 0 (125.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.363992 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.270138 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.295436: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.295436: 0 (15.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.270138 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.433199 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.181771 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.149626: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.149626 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.550035: 0 (22.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.550035: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.181771: 1 (11.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.433199 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557352 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.696724 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.145504: 1 (56.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.145504 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.210736: 0 (4.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.210736 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.316121: 1 (26.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.316121: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.696724: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557352 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.4427 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.681785: 0 (16.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.681785 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.08301: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.08301: 1 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.4427: 1 (9.0) +| | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.363992 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.532626: 0 (20.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.532626: 1 (2.0) +| quiet-still- = 1 +| | Std_Acc1298_Std_Mem40_Flux <= 0.888361 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.203059: 0 (12.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.203059: 1 (8.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.888361: 0 (104.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.447112: 0 (102.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.447112 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.437244 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.464785: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.464785 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.438773 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.292411: 1 (4.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.292411: 0 (22.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.438773: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.437244: 0 (24.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.374609: 1 (84.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.374609 +| | | | BHSUM3 <= 0.049143: 0 (10.0) +| | | | BHSUM3 > 0.049143 +| | | | | BHSUM3 <= 0.526409 +| | | | | | BHSUM1 <= 0.159058 +| | | | | | | BH_LowPeakAmp <= 0.018945 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.642218: 1 (33.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.642218: 0 (2.0) +| | | | | | | BH_LowPeakAmp > 0.018945 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.426585 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.147292 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.55755: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.55755: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.147292: 1 (13.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.426585: 0 (17.0) +| | | | | | BHSUM1 > 0.159058 +| | | | | | | BHSUM2 <= 0.00244 +| | | | | | | | BHSUM2 <= 0: 1 (4.0) +| | | | | | | | BHSUM2 > 0: 0 (2.0) +| | | | | | | BHSUM2 > 0.00244: 1 (68.0) +| | | | | BHSUM3 > 0.526409: 0 (9.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942 +| | | quiet-still- = 0: 0 (13.0) +| | | quiet-still- = 1: 1 (2.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.110373: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.110373 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.415002: 0 (56.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.415002 +| | | | happy-pleased- = 0: 0 (2.0) +| | | | happy-pleased- = 1: 1 (4.0) +angry-aggresive- = 1 +| quiet-still- = 0 +| | sad-lonely- = 0: 0 (147.0) +| | sad-lonely- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.547819: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.547819: 1 (2.0) +| quiet-still- = 1: 1 (3.0/1.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.143949 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.20444 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.409224: 0 (15.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.409224: 1 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.20444 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.436554: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.436554: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | | | BH_HighPeakAmp <= 0.117264: 1 (94.0/1.0) +| | | | BH_HighPeakAmp > 0.117264 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.426441: 1 (12.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.426441: 0 (7.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (18.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.143949 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.557478 +| | BH_LowPeakAmp <= 0.021065 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.539398: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.539398: 0 (25.0) +| | BH_LowPeakAmp > 0.021065: 0 (280.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.557478 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.641021 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.362416: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.362416: 0 (11.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.641021: 1 (5.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.123344 +| | | angry-aggresive- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.428103: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.428103: 0 (31.0/2.0) +| | | angry-aggresive- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.182772: 0 (107.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.182772 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.204007: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.204007: 0 (12.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.123344 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.228626: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.228626 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.204762: 0 (14.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.204762 +| | | | | BH_HighPeakAmp <= 0.361813 +| | | | | | BHSUM2 <= 0.29703 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.446291 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.442462 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.395868: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.395868: 1 (16.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.442462: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.446291: 0 (8.0) +| | | | | | BHSUM2 > 0.29703: 0 (16.0) +| | | | | BH_HighPeakAmp > 0.361813: 1 (7.0) +| happy-pleased- = 1: 0 (133.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.549084 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.095636: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.095636 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.069906: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.069906 +| | | | | | BHSUM1 <= 0.274486: 1 (84.0/3.0) +| | | | | | BHSUM1 > 0.274486 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.375001: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.375001: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (6.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.549084: 0 (13.0/1.0) +| happy-pleased- = 1: 0 (8.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.121093 +| Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.552866 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.194919 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.290377 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.246527 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.760202 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.426395: 1 (40.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.426395 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.081927: 0 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.081927: 1 (10.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.760202: 0 (3.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.246527: 0 (15.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.290377: 1 (62.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.194919: 0 (8.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.552866 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.479539: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.479539: 0 (16.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.121093 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.575966 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.128497 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.199413 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.08124: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.08124 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.559408: 1 (19.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.559408: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.199413: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.128497 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.102305 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.158314: 1 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.158314 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.294587: 0 (18.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.294587: 1 (4.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.102305 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.810956 +| | | | | BH_LowPeakBPM <= 0.730159: 0 (225.0) +| | | | | BH_LowPeakBPM > 0.730159 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.382031: 0 (15.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.382031: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.810956 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.305358: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.305358: 0 (9.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.575966 +| | BH_LowPeakBPM <= 0.031746: 0 (4.0) +| | BH_LowPeakBPM > 0.031746: 1 (13.0/1.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.meta.BaggingML: Model #4 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.095517 +| BH_HighPeakBPM <= 0.466165 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.46198: 1 (36.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.46198: 0 (2.0) +| BH_HighPeakBPM > 0.466165: 0 (4.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.095517 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194223 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.829167 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.400994 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.166442 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.119115: 1 (8.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.119115: 0 (9.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.166442 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.364725: 1 (42.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.364725 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.297967: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.297967: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.400994 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.405975: 0 (18.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.405975: 1 (8.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.829167: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.194223 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.753977 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.223955 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.372853: 0 (11.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.372853 +| | | | | BH_LowPeakBPM <= 0.52381: 1 (7.0) +| | | | | BH_LowPeakBPM > 0.52381: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.223955 +| | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.504755 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.189811 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.408644: 0 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.408644: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.189811 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.267981 +| | | | | | | BHSUM2 <= 0.127063 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.498937: 0 (6.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.498937: 1 (5.0) +| | | | | | | BHSUM2 > 0.127063: 0 (22.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.267981: 0 (96.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.504755: 0 (139.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.753977 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.327734: 0 (13.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.327734 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.261102: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.261102 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.270821: 1 (22.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.270821: 0 (2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.614183 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.103044: 0 (24.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.103044 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.84084 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.214329 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.505404: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.505404: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.214329: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.84084 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.254326 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.273736 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.066671 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.332239: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.332239: 0 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.066671: 0 (26.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.273736 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.541101 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.414115 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.478309 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.140202 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.601899 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.089192: 1 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.089192 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.442281: 0 (25.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.442281: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.601899: 1 (7.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.140202 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.347842 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.440309: 0 (7.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.440309: 1 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.347842 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.053396 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.341726: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.341726: 0 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.053396 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.228468 +| | | | | | | | | | | | | BH_HighPeakAmp <= 0.30389: 1 (70.0/1.0) +| | | | | | | | | | | | | BH_HighPeakAmp > 0.30389 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.711746: 0 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.711746: 1 (2.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.228468 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.211957: 0 (4.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.211957: 1 (7.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.478309: 0 (8.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.414115 +| | | | | | | | BHSUM1 <= 0.054897: 1 (5.0/1.0) +| | | | | | | | BHSUM1 > 0.054897 +| | | | | | | | | BH_HighPeakAmp <= 0.309826: 0 (30.0) +| | | | | | | | | BH_HighPeakAmp > 0.309826: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.541101: 0 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.254326: 0 (25.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.614183: 0 (34.0) +sad-lonely- = 1: 0 (151.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.174061: 0 (17.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.174061 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.117655 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.141606 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.076123: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.076123: 0 (8.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.141606 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.16829 +| | | | | | sad-lonely- = 0: 1 (2.0) +| | | | | | sad-lonely- = 1: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.16829 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.267091 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.724971 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.533854 +| | | | | | | | | BH_HighPeakAmp <= 0 +| | | | | | | | | | BH_LowPeakBPM <= 0.285714: 0 (2.0) +| | | | | | | | | | BH_LowPeakBPM > 0.285714 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.938496: 1 (18.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.938496: 0 (2.0) +| | | | | | | | | BH_HighPeakAmp > 0: 1 (85.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.533854 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.572874: 1 (11.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.572874: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.724971 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.316826: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.316826: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.267091 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.188101: 1 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.188101 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.281078: 0 (14.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.281078: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.117655: 1 (82.0/2.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.396642: 0 (65.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_5 > 0.396642 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.332402: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.332402: 0 (3.0) +angry-aggresive- = 1 +| BH_HighPeakBPM <= 0.721805: 0 (133.0/1.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.277977: 0 (4.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.277977: 1 (3.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.137331 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | happy-pleased- = 0 +| | | amazed-suprised- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.45037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.477599: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.477599: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.45037: 1 (111.0/4.0) +| | | amazed-suprised- = 1: 0 (5.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.282428: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.282428: 0 (23.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (26.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.137331 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.435987 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.242282: 0 (244.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.242282 +| | | BHSUM3 <= 0.063282: 1 (3.0) +| | | BHSUM3 > 0.063282 +| | | | Std_Acc1298_Std_Mem40_Flux <= 0.932485: 0 (47.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Flux > 0.932485: 1 (3.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.435987 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.113631: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.113631: 1 (11.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.369604 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.27948: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.27948 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.5624 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.469335 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.32813 +| | | | | | | BHSUM3 <= 0.080549: 0 (3.0) +| | | | | | | BHSUM3 > 0.080549: 1 (14.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.32813: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.469335: 1 (31.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.5624: 0 (8.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.369604: 1 (42.0) +| amazed-suprised- = 1: 0 (8.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.232022: 0 (151.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_5 > 0.232022 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.904534 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.433078 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.203778 +| | | | | amazed-suprised- = 0 +| | | | | | BH_LowPeakBPM <= 0.174603: 0 (16.0) +| | | | | | BH_LowPeakBPM > 0.174603 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.197722 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.592975 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.214794: 1 (7.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.214794 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.650743 +| | | | | | | | | | | BHSUM1 <= 0.647661 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.192116 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.379098 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.40699: 1 (4.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.40699: 0 (2.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.379098 +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.483605: 0 (34.0) +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.483605 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.486689: 0 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.486689: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.192116: 1 (3.0) +| | | | | | | | | | | BHSUM1 > 0.647661: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.650743: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.592975: 1 (12.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.197722: 1 (14.0) +| | | | | amazed-suprised- = 1 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.068933: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.068933: 0 (36.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.203778: 0 (27.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.433078: 0 (37.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.904534: 1 (11.0/1.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.178071 +| happy-pleased- = 0 +| | quiet-still- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.756032 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.284701 +| | | | | | amazed-suprised- = 0: 1 (2.0) +| | | | | | amazed-suprised- = 1 +| | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.316024: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.316024: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.284701 +| | | | | | BHSUM1 <= 0.293689: 1 (66.0) +| | | | | | BHSUM1 > 0.293689 +| | | | | | | BHSUM1 <= 0.311388: 0 (3.0) +| | | | | | | BHSUM1 > 0.311388 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.804806 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.574664: 1 (33.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.574664 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.500503: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.500503: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.804806: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.756032 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.482434: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.482434: 0 (8.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.006142: 1 (8.0) +| | | | BH_HighPeakAmp > 0.006142 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.32909: 1 (3.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.32909: 0 (16.0) +| | quiet-still- = 1: 0 (13.0) +| happy-pleased- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.081718 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.46132: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.46132: 0 (8.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.081718: 0 (43.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.178071 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.164508 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.109627: 1 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.109627 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.578563: 0 (13.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.578563: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.164508: 0 (238.0/4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.meta.BaggingML: Model #5 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.147491 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.262223 +| | BH_HighPeakAmp <= 0.020741: 0 (4.0/1.0) +| | BH_HighPeakAmp > 0.020741: 1 (46.0/2.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.262223: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_5 > 0.147491 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.079769 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.154782 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.30414: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.30414: 1 (22.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.154782: 0 (4.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.079769 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.807595 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194402 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.283223: 0 (18.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.283223 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.573073 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.399481 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.139611: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.139611: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.399481: 1 (15.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.573073: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.194402 +| | | | quiet-still- = 0 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.321353 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.234843 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.670198 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.653148: 0 (40.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.653148: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.670198: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.234843: 0 (137.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.321353 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.215493: 1 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.215493 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.742526: 0 (17.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.742526: 1 (3.0) +| | | | quiet-still- = 1: 0 (123.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.807595 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.198083 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.181922: 0 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.181922: 1 (19.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.198083: 0 (9.0/1.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Centroid <= 0.106705: 0 (35.0) +Mean_Acc1298_Mean_Mem40_Centroid > 0.106705 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.074951: 0 (46.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.074951 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.275288 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.218037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.268279: 0 (23.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.268279 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.146806: 0 (23.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.146806 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.336321 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.094251 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.415951: 1 (12.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.415951: 0 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.094251 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.246089: 0 (25.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.246089 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.322359: 1 (9.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.322359 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.384134 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.337075: 1 (7.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.337075 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.524656 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.06397 +| | | | | | | | | | | | | | | BHSUM1 <= 0.318752: 1 (17.0/1.0) +| | | | | | | | | | | | | | | BHSUM1 > 0.318752: 0 (4.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.06397 +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.166725 +| | | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.296584 +| | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.084356: 1 (5.0) +| | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.084356 +| | | | | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.097886: 1 (4.0) +| | | | | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.097886 +| | | | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.29877: 0 (25.0/1.0) +| | | | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.29877 +| | | | | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.094874: 0 (2.0) +| | | | | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.094874: 1 (4.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.296584: 1 (5.0) +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.166725: 0 (32.0/1.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.524656: 1 (6.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.384134: 0 (17.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.336321: 0 (17.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.218037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.649467: 1 (16.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.649467: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.275288 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.679223 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.088181: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.088181: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.364235: 1 (36.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.364235 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.437941: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.437941: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.679223: 0 (10.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.405327 +| | | | BH_HighPeakBPM <= 0.210526 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.465351: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.465351: 0 (10.0/1.0) +| | | | BH_HighPeakBPM > 0.210526: 0 (54.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.405327 +| | | | BH_HighPeakAmp <= 0.094972 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.809573: 0 (16.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.809573: 1 (2.0) +| | | | BH_HighPeakAmp > 0.094972: 1 (7.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.084987: 0 (35.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.084987 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759494 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.118101 +| | | | happy-pleased- = 0 +| | | | | sad-lonely- = 0: 0 (28.0) +| | | | | sad-lonely- = 1: 1 (2.0) +| | | | happy-pleased- = 1: 1 (8.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.118101 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.171222: 1 (9.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.171222 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.369251: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.369251: 0 (19.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.850346 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.08164 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.265184: 0 (8.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.265184: 1 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.08164 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.459001 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.545791: 1 (185.0/5.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.545791 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 1 (10.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.459001 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.517647: 0 (7.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.517647: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.850346 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.458363: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.458363: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759494 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.376511: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.376511: 0 (23.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.250064: 0 (108.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.250064 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.325644: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.325644: 0 (14.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.118518 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | happy-pleased- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.091182 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.690951: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.690951: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.091182: 1 (104.0/1.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.504469: 0 (13.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.504469: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (24.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.118518 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.401023 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.11524: 0 (9.0/1.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.11524: 1 (11.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.401023 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.232299 +| | | BH_LowPeakAmp <= 0.021065 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.578041: 0 (35.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.578041: 1 (5.0) +| | | BH_LowPeakAmp > 0.021065: 0 (260.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.232299 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.400977: 1 (7.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.400977: 0 (15.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.299243 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.584559 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.478405 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.369211: 0 (54.0/3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.369211 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.374734: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.374734: 0 (9.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.478405 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.352265: 0 (11.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.352265 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.134224: 0 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.134224 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.566164 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.243466 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.045649: 1 (3.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.045649: 0 (7.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.243466: 1 (24.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.566164: 0 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.584559: 1 (12.0/1.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.299243 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.128254: 0 (68.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.128254 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.406135 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.455339: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.455339: 0 (15.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.406135: 1 (2.0) +| happy-pleased- = 1: 0 (137.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.106099: 0 (14.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.106099 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.54545 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.215493: 0 (9.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.215493 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.354494: 1 (67.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.354494 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.388614: 0 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.388614 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.069906: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.069906: 1 (15.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (5.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.54545: 0 (11.0/1.0) +| happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.119543 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_Flux <= 0.814008: 0 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.814008 +| | | sad-lonely- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.106267 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.378176: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.378176 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.252225: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.252225: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.106267: 1 (87.0/2.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.470117: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.470117: 0 (7.0/1.0) +| happy-pleased- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.516707: 0 (21.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_0 > 0.516707: 1 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.119543 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.138465 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.255761 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.882902 +| | | | BH_HighPeakBPM <= 0.684211 +| | | | | relaxing-clam- = 0 +| | | | | | BHSUM1 <= 0.067087: 1 (5.0) +| | | | | | BHSUM1 > 0.067087 +| | | | | | | BH_HighPeakAmp <= 0.003617 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.742495: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.742495: 1 (3.0) +| | | | | | | BH_HighPeakAmp > 0.003617: 0 (26.0/1.0) +| | | | | relaxing-clam- = 1: 0 (38.0) +| | | | BH_HighPeakBPM > 0.684211: 1 (7.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.882902: 1 (9.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.255761: 1 (9.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.138465 +| | relaxing-clam- = 0 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.616456 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.057038: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.057038 +| | | | | | BHSUM3 <= 0.117945: 1 (3.0/1.0) +| | | | | | BHSUM3 > 0.117945: 0 (30.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.616456: 1 (3.0) +| | | quiet-still- = 1: 0 (34.0) +| | relaxing-clam- = 1: 0 (177.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.meta.BaggingML: Model #6 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.009431: 0 (9.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.009431 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.068934: 1 (40.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.068934 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.069062 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.185074: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.185074: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.069062 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.688956 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.418787 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.10335: 1 (14.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.10335 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.220639 +| | | | | | | | | BH_HighPeakBPM <= 0.105263: 1 (4.0) +| | | | | | | | | BH_HighPeakBPM > 0.105263 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.380412: 0 (18.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.380412: 1 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.220639: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.418787: 1 (36.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.688956: 0 (5.0) +| quiet-still- = 1: 0 (8.0) +Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.066703 +| | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.204762: 0 (3.0) +| | Std_Acc1298_Std_Mem40_MFCC_3 > 0.204762: 1 (14.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.066703 +| | sad-lonely- = 0 +| | | quiet-still- = 0 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.636224 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.35428 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.743176 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.383851 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.804038 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.210574 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.49411: 0 (15.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.49411: 1 (5.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.210574: 0 (61.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.804038 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.86923: 1 (10.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.86923: 0 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.383851: 1 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.743176: 1 (9.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.35428: 0 (44.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.636224 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.554375: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.554375: 1 (10.0) +| | | quiet-still- = 1: 0 (28.0) +| | sad-lonely- = 1: 0 (119.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.250873 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.354895 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.595022 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.096174: 0 (6.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.096174 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.379195 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.116532: 1 (7.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.116532: 0 (8.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.379195 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.064812 +| | | | | | | | | BH_LowPeakBPM <= 0.253968: 0 (4.0) +| | | | | | | | | BH_LowPeakBPM > 0.253968: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.064812: 1 (85.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.595022: 0 (7.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.354895 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.295398: 0 (14.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.295398: 1 (6.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.250873: 0 (10.0/1.0) +| | quiet-still- = 1 +| | | BH_HighPeakAmp <= 0.038984: 0 (27.0/1.0) +| | | BH_HighPeakAmp > 0.038984: 1 (4.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.312025 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.411893: 0 (126.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.411893 +| | | | BH_HighPeakBPM <= 0.691729: 0 (36.0/1.0) +| | | | BH_HighPeakBPM > 0.691729: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.312025 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.544424: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.544424: 1 (4.0) +sad-lonely- = 1: 0 (135.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.13393 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.198495: 0 (140.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.198495 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.658041: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.658041: 0 (7.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.13393 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.23659: 0 (45.0/2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.23659 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.198707 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.327038: 0 (16.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.327038: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.198707 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.250892: 1 (50.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.250892 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.680508 +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.088329 +| | | | | | | sad-lonely- = 0: 1 (2.0) +| | | | | | | sad-lonely- = 1: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.088329 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.178978 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.353008 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.148269: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.148269: 0 (15.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.353008: 1 (10.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.178978 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.426365 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.311468: 1 (72.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.311468 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.311009 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.213105: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.213105: 1 (28.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.311009: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.426365 +| | | | | | | | | BH_HighPeakAmp <= 0.095854 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.054325: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.054325: 1 (13.0) +| | | | | | | | | BH_HighPeakAmp > 0.095854: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.680508 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.614567: 0 (11.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.614567: 1 (4.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.059895: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.059895 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.269648 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.492025: 0 (35.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.492025 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.341491: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.341491: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.269648: 1 (4.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.143949 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.174013 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.143314: 0 (11.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.143314 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.13079: 0 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.13079 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.67596 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.328087 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.70408 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.204473: 1 (22.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.204473: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.70408: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.328087: 1 (64.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.67596 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.296292: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.296292: 0 (10.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.174013: 0 (33.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.143949 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.557478: 0 (315.0/5.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.557478 +| | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.394163: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.394163: 1 (9.0/1.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.198187: 0 (91.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.198187 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.179849 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.555691 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.43565: 1 (9.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.43565 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.074909: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.074909 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.904534: 0 (23.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.904534: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.555691: 1 (11.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.179849 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.81913 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235891: 0 (86.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235891 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.171347 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.236247: 1 (9.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.236247: 0 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.171347 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.388463 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.400666: 0 (24.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.400666 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.363421 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.33828 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.362582: 1 (17.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.362582: 0 (2.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.33828: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.363421 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.399125: 0 (20.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.399125: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.388463: 0 (65.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.81913 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.579396: 1 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.579396: 0 (5.0) +quiet-still- = 1 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.09677 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.143795 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.044063 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.150112: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.150112: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.044063: 1 (51.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.143795: 0 (4.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.09677 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.219612: 1 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.219612 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.288658: 0 (14.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.288658 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.34761: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.34761: 0 (5.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.130044 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.352371 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.324417 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.246089 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.596907: 1 (55.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.596907 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.214892: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.214892: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.246089 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.360392 +| | | | | | BH_LowPeakBPM <= 0.253968: 0 (21.0/1.0) +| | | | | | BH_LowPeakBPM > 0.253968 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.101212: 1 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.101212: 0 (6.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.360392: 1 (7.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.324417: 0 (13.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.352371 +| | | BH_LowPeakAmp <= 0.4068: 1 (91.0/1.0) +| | | BH_LowPeakAmp > 0.4068 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.499981: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.499981: 1 (8.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.130044 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.553061: 0 (61.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.553061: 1 (8.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.57853: 0 (189.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.57853 +| | BH_HighPeakAmp <= 0.026653: 1 (6.0) +| | BH_HighPeakAmp > 0.026653: 0 (5.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.meta.BaggingML: Model #7 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.103109: 0 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.103109 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.299209 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.838488 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.063902: 1 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.063902: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.838488: 1 (51.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.299209: 0 (4.0/1.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.187917 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.051196: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.051196 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.554976: 1 (32.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.554976: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.187917 +| | quiet-still- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.298875 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.204145: 0 (13.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.204145 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.348934 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.242578 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.463524 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.056745: 0 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.056745: 1 (22.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.463524: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.242578 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.531186 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.485055: 0 (31.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.485055: 1 (3.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.531186: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.348934: 1 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.298875 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.136645 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.121453: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.121453: 1 (7.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.136645 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.200016 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.489556: 1 (8.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.489556: 0 (6.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.200016 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.707683: 0 (124.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.707683 +| | | | | | | BHSUM3 <= 0.109909: 1 (4.0) +| | | | | | | BHSUM3 > 0.109909: 0 (10.0) +| | quiet-still- = 1: 0 (133.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.361774 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.088546: 0 (53.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.088546 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.470348 +| | | | BH_HighPeakBPM <= 0.120301: 0 (28.0) +| | | | BH_HighPeakBPM > 0.120301 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.640916 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.319365 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.678127 +| | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.84341 +| | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.072218: 0 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.072218: 1 (17.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.84341 +| | | | | | | | | BH_HighPeakBPM <= 0.150376: 1 (8.0/1.0) +| | | | | | | | | BH_HighPeakBPM > 0.150376 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.138701: 0 (16.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.138701 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.113424 +| | | | | | | | | | | | amazed-suprised- = 0: 1 (10.0) +| | | | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.225869: 1 (8.0/1.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.225869: 0 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.113424 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.615945 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.583585 +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.504558 +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.10284 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.638742: 1 (6.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.638742: 0 (2.0) +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.10284 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.351745 +| | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (3.0) +| | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.351745: 0 (30.0/1.0) +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.504558: 1 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.583585: 1 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.615945 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.120726: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.120726: 0 (37.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.678127: 1 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.319365: 0 (34.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.640916: 0 (27.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.470348 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.163471: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.163471: 1 (12.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.361774 +| | BH_LowPeakBPM <= 0.460317: 1 (24.0) +| | BH_LowPeakBPM > 0.460317 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.804806: 0 (5.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.804806: 1 (2.0) +quiet-still- = 1 +| BHSUM2 <= 0.211311: 0 (121.0/1.0) +| BHSUM2 > 0.211311 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.100745: 0 (9.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.100745: 1 (3.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081151 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.35428: 0 (124.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.35428 +| | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.478235: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.478235: 1 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081151 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.780447 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.722905 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.108906: 0 (16.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.108906 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.036224 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.315412: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.315412: 0 (10.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.036224 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.336041: 1 (60.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.336041 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.414278 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.637227 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.137076 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.148174: 1 (8.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.148174: 0 (9.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.137076 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.267384 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.15888 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.073783: 0 (3.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.073783: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.15888 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.164553 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.082685: 1 (9.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.082685: 0 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.164553: 1 (84.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.267384 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.421271 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.494029: 1 (6.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.494029: 0 (7.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.421271: 1 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.637227 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.184448: 1 (10.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.184448 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.404959: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.404959: 0 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.414278: 0 (13.0/1.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.479597 +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.086242: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.086242: 0 (24.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.479597: 1 (7.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.722905: 0 (18.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.780447: 0 (38.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14619 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | BH_HighPeakAmp <= 0.044178 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.201072 +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.161374: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.161374: 0 (12.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.201072 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.186887 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.112549: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.112549: 0 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.186887: 1 (105.0) +| | BH_HighPeakAmp > 0.044178 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.294423: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.294423 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.543654: 0 (23.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.543654 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.314586: 0 (7.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.314586: 1 (6.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (22.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.14619 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.180312 +| | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.67305 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.666164: 0 (34.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.666164: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.67305: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.180312: 0 (257.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.327673 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.325447 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.121649: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.121649 +| | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.037693: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_Flux > 0.037693: 1 (24.0/2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.325447 +| | | | amazed-suprised- = 0 +| | | | | BH_HighPeakAmp <= 0.476671 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.412802 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.873161 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.04197: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.04197 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.703326: 0 (41.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.703326 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.264461: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.264461: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.873161: 1 (8.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.412802: 1 (9.0/1.0) +| | | | | BH_HighPeakAmp > 0.476671: 1 (6.0) +| | | | amazed-suprised- = 1: 0 (37.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.327673: 0 (101.0/2.0) +| happy-pleased- = 1: 0 (114.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (13.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.405041 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.227995 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.144257: 0 (8.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.144257: 1 (6.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.227995 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.799575 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.22185: 1 (85.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.22185 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.122165: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.122165: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.799575: 0 (6.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.405041: 0 (6.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.249621: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.249621 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.242975 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.425965 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.058347: 1 (37.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.058347 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.202822: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.202822 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.057297: 0 (6.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.057297 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.451835 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.088281: 1 (42.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.088281 +| | | | | | | | | | | BH_LowPeakBPM <= 0.238095 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.382095: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.382095: 0 (5.0) +| | | | | | | | | | | BH_LowPeakBPM > 0.238095: 1 (12.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.451835 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25745: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25745: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.425965: 1 (48.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.242975 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.471402: 0 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.471402: 1 (6.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.512601 +| | | | BH_HighPeakBPM <= 0.360902: 0 (31.0) +| | | | BH_HighPeakBPM > 0.360902 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.163963 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.208137: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.208137: 1 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.163963: 0 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.512601: 1 (3.0) +| quiet-still- = 1 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.027364: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.027364: 0 (43.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.546885 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.072883: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.072883: 0 (35.0) +| | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.546885: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (166.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.meta.BaggingML: Model #8 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.08273 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.213636: 1 (33.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.213636: 0 (2.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.08273 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077771 +| | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.087275: 0 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.087275 +| | | BHSUM3 <= 0.173169: 0 (3.0) +| | | BHSUM3 > 0.173169: 1 (24.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.077771 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194223 +| | | quiet-still- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.554597: 1 (20.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.554597 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.216426: 0 (20.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.216426 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.153154: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.153154: 1 (14.0/1.0) +| | | quiet-still- = 1: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.194223 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.318416 +| | | | | BH_HighPeakBPM <= 0.593985 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.376531: 1 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.376531: 0 (18.0/1.0) +| | | | | BH_HighPeakBPM > 0.593985: 1 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.318416 +| | | | | BH_LowPeakBPM <= 0.095238 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.451012: 0 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.451012 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.526107: 1 (10.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.526107: 0 (3.0) +| | | | | BH_LowPeakBPM > 0.095238 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.192847 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.405041: 0 (15.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.405041: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.192847: 0 (156.0/2.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.668506: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.668506: 1 (4.0) +| | | quiet-still- = 1: 0 (118.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.062127: 0 (14.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.062127 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.209598: 0 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.209598 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.130073: 1 (34.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.130073 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.595575 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.245557 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.326404 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.173252 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.653049 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.345509 +| | | | | | | | | | | BHSUM2 <= 0.074079: 1 (2.0) +| | | | | | | | | | | BHSUM2 > 0.074079: 0 (7.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.345509 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.116981: 0 (6.0/2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.116981 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.925734 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.362582: 1 (53.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.362582 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.578144: 1 (5.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.578144: 0 (3.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.925734 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.147569: 1 (3.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.147569: 0 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.653049 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.454178: 0 (8.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.454178: 1 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.173252 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.269008: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.269008: 0 (13.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.326404: 0 (11.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.245557: 1 (13.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.595575 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.231974: 0 (23.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.231974: 1 (2.0) +| quiet-still- = 1 +| | BHSUM2 <= 0.309466 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.227826 +| | | | BH_LowPeakBPM <= 0.285714: 1 (5.0) +| | | | BH_LowPeakBPM > 0.285714: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.227826 +| | | | Std_Acc1298_Std_Mem40_Flux <= 0.888492 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.506955: 0 (8.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.506955: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_Flux > 0.888492: 0 (90.0) +| | BHSUM2 > 0.309466 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.232065: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.232065: 1 (5.0) +angry-aggresive- = 1: 0 (152.0/4.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.186887 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.135905: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.135905: 0 (10.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.186887 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032249 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.368869 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.104363: 0 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.104363: 1 (18.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.368869: 0 (12.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032249 +| | | | BHSUM3 <= 0.525943 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.645783 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.361179 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071943: 1 (55.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071943 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.780237 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.399167 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.062231: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.062231 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.06487 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.354487: 1 (5.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.354487: 0 (2.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.06487: 1 (46.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.399167: 0 (5.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.780237: 0 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.361179: 1 (81.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.645783 +| | | | | | BH_HighPeakAmp <= 0.005291: 0 (6.0) +| | | | | | BH_HighPeakAmp > 0.005291: 1 (7.0) +| | | | BHSUM3 > 0.525943 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.611729: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.611729: 0 (8.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.408502: 0 (56.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.408502: 1 (7.0) +angry-aggresive- = 1 +| Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.263164 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.122856: 0 (9.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.122856: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.263164: 0 (139.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.443173 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.18226: 0 (266.0/3.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.18226 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.556538: 0 (20.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.556538: 1 (9.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.443173 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.171053 +| | BH_HighPeakAmp <= 0.055924 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.219049 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.307368: 0 (18.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.307368: 1 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.219049 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.184077 +| | | | | BH_LowPeakAmp <= 0.075693: 1 (84.0) +| | | | | BH_LowPeakAmp > 0.075693 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.124814: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.124814: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.184077: 0 (5.0/2.0) +| | BH_HighPeakAmp > 0.055924 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.232065 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.051395: 0 (4.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.051395: 1 (9.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.232065: 0 (38.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.171053: 0 (23.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.077081 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.099462 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.60295: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.60295: 1 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.099462: 1 (53.0/1.0) +| happy-pleased- = 1: 0 (4.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.077081 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | angry-aggresive- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.583168 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.859047 +| | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.837355: 1 (6.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_Flux > 0.837355 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.165309: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.165309 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.5474: 0 (50.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.5474 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.444923: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.444923: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.859047: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.583168 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.615393: 1 (16.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.615393: 0 (3.0) +| | | angry-aggresive- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.399306 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.430082 +| | | | | | BH_HighPeakBPM <= 0.75188: 0 (30.0/1.0) +| | | | | | BH_HighPeakBPM > 0.75188: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.430082: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.399306: 0 (107.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.227521 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.538051: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.538051: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.227521: 0 (115.0) +| quiet-still- = 1 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.222271: 0 (10.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.222271 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.624402 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.26257: 1 (17.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.26257 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.477365 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.614573 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.251553: 0 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.251553: 1 (15.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.614573: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.477365: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.624402: 0 (8.0) +| | happy-pleased- = 1: 0 (13.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.173138 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.176012 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.32359 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.139365: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.139365: 0 (9.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.32359 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.19304 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.256227 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.041661: 1 (17.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.041661 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.433263 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.547203 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.104018 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.386292: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.386292 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.74454: 0 (24.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.74454: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.104018 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.135095: 1 (15.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.135095: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.547203: 1 (9.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.433263: 1 (13.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.256227: 1 (54.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.19304 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.586563: 0 (10.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.586563: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.176012 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517105: 0 (27.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517105: 1 (7.0/1.0) +| quiet-still- = 1: 0 (15.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.173138 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.094073 +| | BH_LowPeakBPM <= 0.142857: 0 (7.0) +| | BH_LowPeakBPM > 0.142857 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.089802: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.089802: 1 (15.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.094073 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.65077 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.400913: 0 (200.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.400913 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.216215: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.216215 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.0489: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.0489: 0 (37.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.65077 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.377164: 1 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.377164: 0 (7.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.meta.BaggingML: Model #9 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.176389 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.714529: 1 (52.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.714529: 0 (4.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.176389: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14846 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.123957 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.336266: 1 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.336266: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.123957: 0 (170.0/3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.14846 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.338679 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.509501 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.550761 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.306664 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.197706 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.303664 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.48095 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.256041: 0 (7.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.256041 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.391461: 1 (24.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.391461: 0 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.48095: 0 (6.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.303664: 0 (12.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.197706: 1 (31.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.306664: 0 (12.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.550761 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.156981: 0 (27.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.156981 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.165361 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.163262: 0 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.163262: 1 (3.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.165361: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.509501: 1 (9.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.338679 +| | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.455344 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.444002: 0 (73.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.444002 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.393768: 1 (4.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.393768: 0 (13.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.455344 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.421538: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.421538: 0 (4.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.241935: 0 (13.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.241935 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.666069 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.483521 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.559905 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.235776: 0 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.235776: 1 (13.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679: 1 (94.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.559905 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.087942: 0 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.087942 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.632432 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.450154: 0 (8.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.450154: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.632432: 1 (19.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.483521 +| | | | | | BH_LowPeakBPM <= 0.269841: 1 (5.0) +| | | | | | BH_LowPeakBPM > 0.269841 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.134986: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.134986: 0 (9.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.666069 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.572476: 0 (13.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.572476: 1 (2.0) +| | quiet-still- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.46867: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.46867 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.108502: 1 (3.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.108502: 0 (25.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.201413 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.075705: 1 (6.0/2.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.075705: 0 (100.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.201413 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.672645 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.285605: 1 (9.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.285605: 0 (3.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.672645: 0 (8.0) +sad-lonely- = 1: 0 (143.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.130755 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.216983: 0 (122.0/3.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.216983 +| | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.514616: 1 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.514616: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.130755 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.726286 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.095025 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.825112: 0 (11.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.825112: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.095025 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.543939 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.873264 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.582614 +| | | | | | | BH_HighPeakBPM <= 0.090226 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.148628: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.148628: 1 (6.0) +| | | | | | | BH_HighPeakBPM > 0.090226 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.402731: 1 (95.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.402731 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.137796: 0 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.137796 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.262885 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.127813: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.127813: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.262885: 1 (52.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.582614 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.272679: 0 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.272679 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.632344 +| | | | | | | | | BHSUM1 <= 0.039677: 0 (3.0) +| | | | | | | | | BHSUM1 > 0.039677 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.52388: 1 (32.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.52388: 0 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.632344: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.873264 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.139603: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.139603: 0 (10.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.543939 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.395131: 1 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.395131: 0 (17.0/1.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.152732: 1 (6.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.152732 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.275266 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.400809 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.411198: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.411198: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.400809: 0 (22.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.275266: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.726286 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.223632: 0 (47.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.223632 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.166122: 0 (6.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.166122: 1 (6.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.114412 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.206195 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.45695: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.45695 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.148455 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.117947: 0 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.117947: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.148455 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.426594: 1 (91.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.426594 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.039516: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.039516: 1 (11.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.206195: 0 (9.0) +| amazed-suprised- = 1: 0 (10.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.114412 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.394889 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.728857 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.081719: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.081719: 1 (16.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.728857: 0 (5.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.394889 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.225639: 0 (300.0/2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.225639 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.277042: 1 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.277042: 0 (16.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.510856 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.103168 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.309628: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.309628: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.103168 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.416546 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.103638 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.158771: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.158771: 1 (13.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.103638: 1 (79.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.416546 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.328087: 0 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.328087: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.510856: 0 (7.0) +| amazed-suprised- = 1: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.286978 +| | BHSUM2 <= 0.010258 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.174329: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.174329: 0 (5.0) +| | BHSUM2 > 0.010258: 0 (131.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.286978 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.502771 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.048568 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.36085: 1 (7.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.36085: 0 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.048568 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.387461 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.508874: 0 (90.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.508874 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.493248 +| | | | | | | BHSUM2 <= 0.161277: 1 (9.0/1.0) +| | | | | | | BHSUM2 > 0.161277 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.651919: 0 (11.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.651919: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.493248: 0 (27.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.387461 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.374863: 1 (8.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.374863 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.145528: 0 (20.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.145528 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.459593: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.459593: 0 (15.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.502771 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.545184: 1 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.545184: 0 (13.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.471353 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.049708 +| | | | BH_HighPeakAmp <= 0.220196: 1 (25.0) +| | | | BH_HighPeakAmp > 0.220196: 0 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.049708 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.041661: 1 (12.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.041661 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.666069 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.204528 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.210326: 0 (31.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.210326 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.203326: 1 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.203326: 0 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.204528 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.152758 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.221337: 1 (21.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.221337: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.152758 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.126408: 1 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.126408 +| | | | | | | | | BHSUM2 <= 0.028147: 1 (6.0/1.0) +| | | | | | | | | BHSUM2 > 0.028147 +| | | | | | | | | | BHSUM1 <= 0.140254 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.362047: 0 (12.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.362047: 1 (4.0) +| | | | | | | | | | BHSUM1 > 0.140254: 0 (27.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.666069: 1 (7.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.471353: 1 (55.0/1.0) +| quiet-still- = 1: 0 (36.0/1.0) +relaxing-clam- = 1: 0 (228.0/1.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.meta.BaggingML: Model #10 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.093526 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.673213 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.260361 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.289807: 1 (12.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.289807: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.260361: 1 (49.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.325008: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.325008: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.673213: 0 (4.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.093526 +| relaxing-clam- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.141306: 0 (48.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.141306 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.575221 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.578225 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.586563 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.3203 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.149072 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.090185: 1 (5.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.090185 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.545872 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.255749 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.3071 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.200242: 0 (21.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.200242: 1 (2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.3071 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.206158: 1 (9.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.206158: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.255749: 0 (17.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.545872: 1 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.149072: 1 (20.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.3203 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.312107: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.312107: 0 (27.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.586563: 1 (8.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.578225: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.575221: 0 (23.0) +| relaxing-clam- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.230649 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.339397: 0 (27.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.339397 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.243435: 1 (8.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.243435: 0 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.230649: 0 (174.0/2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.216321: 0 (18.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.216321 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.318037 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.684527 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.265201 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.211848: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.211848 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.310313: 0 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.310313: 1 (56.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.265201 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.606749 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.377745 +| | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.839664: 1 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.839664 +| | | | | | | | | | relaxing-clam- = 0 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.275346: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.275346: 1 (3.0) +| | | | | | | | | | relaxing-clam- = 1: 0 (21.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.377745: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.606749: 1 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.684527: 1 (52.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.318037 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.155962: 1 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.155962 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.639944: 0 (27.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.639944: 1 (5.0/1.0) +| angry-aggresive- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.369314: 0 (134.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.369314 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.572414: 1 (7.0/1.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.572414: 0 (9.0) +sad-lonely- = 1: 0 (122.0/1.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194402 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.622447: 0 (62.0/2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.622447: 1 (6.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.194402 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.025491: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.025491 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.253701: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.253701: 0 (21.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.066703: 0 (13.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.066703 +| | | | BHSUM3 <= 0.452403 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.624883 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.371091 +| | | | | | | BHSUM2 <= 0.04572 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.320999: 0 (4.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.320999 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.213699: 1 (16.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.213699: 0 (2.0) +| | | | | | | BHSUM2 > 0.04572 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.333367: 1 (75.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.333367 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.231631: 1 (16.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.231631: 0 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.371091: 1 (77.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.624883 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.279517: 1 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.279517: 0 (9.0/1.0) +| | | | BHSUM3 > 0.452403 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.374899: 1 (8.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.374899: 0 (8.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_Flux <= 0.935665: 0 (148.0) +| Std_Acc1298_Std_Mem40_Flux > 0.935665 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.310127: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.310127: 0 (6.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.137331 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.369211 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.161585 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.122297: 0 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.122297: 1 (18.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.161585: 0 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.369211: 1 (78.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (11.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.240039: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.240039: 0 (26.0) +| amazed-suprised- = 1: 0 (14.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.137331 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.471531 +| | relaxing-clam- = 0: 0 (217.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.306835 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.557581: 0 (21.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.557581: 1 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.306835: 1 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (69.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.471531 +| | relaxing-clam- = 0: 0 (7.0) +| | relaxing-clam- = 1: 1 (11.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.184043: 0 (15.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.184043 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.146771: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.146771 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.30205: 0 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.30205 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.43947 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.250559 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.461397: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.461397: 1 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.250559: 1 (53.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.43947 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.202113: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.202113 +| | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.092483: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.092483: 1 (2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.5023 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.404498 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.528194: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.528194: 1 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.704621 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.524562: 0 (96.0/4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.524562 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.098032: 0 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.098032 +| | | | | | | | BHSUM1 <= 0.103205: 0 (7.0) +| | | | | | | | BHSUM1 > 0.103205 +| | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.306403: 0 (4.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.306403 +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.534878: 1 (16.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.534878: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.704621 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.270076: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.270076: 1 (7.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.404498: 0 (54.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.402492 +| | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.377787: 1 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.377787 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.159768 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.386581: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.386581: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.159768: 0 (41.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.402492: 0 (94.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.5023 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.30622 +| | | Std_Acc1298_Std_Mem40_Centroid <= 0.316024: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_Centroid > 0.316024: 0 (14.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.30622: 1 (11.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.121093 +| BHSUM1 <= 0.371024 +| | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.49515 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.174481 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.232159: 0 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.232159 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.074934 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.351911: 1 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.351911 +| | | | | | | BH_LowPeakBPM <= 0.222222: 1 (5.0/1.0) +| | | | | | | BH_LowPeakBPM > 0.222222: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.074934: 1 (31.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.174481: 0 (5.0) +| | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.49515: 1 (46.0) +| BHSUM1 > 0.371024 +| | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.073631: 1 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.073631 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.507614 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.119574: 1 (5.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.119574: 0 (26.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.507614: 1 (6.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.121093 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.111981 +| | BH_LowPeakAmp <= 0.047864: 0 (14.0) +| | BH_LowPeakAmp > 0.047864 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.365647 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.17495 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.080155: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.080155: 1 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.17495: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.365647: 0 (9.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.111981 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.074609 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.222699: 0 (13.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.222699: 1 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.074609: 0 (260.0/8.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.BaggingML +Options [-S, 1, -I, 10, -P, 100, -W, meka.classifiers.multilabel.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/BaggingMLdup.ref b/bin/test/meka/classifiers/multilabel/meta/BaggingMLdup.ref new file mode 100644 index 00000000..f37ce735 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/BaggingMLdup.ref @@ -0,0 +1,2732 @@ +== Model info + +Model +meka.classifiers.multilabel.meta.BaggingMLdup: Model #1 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | sad-lonely- = 0 +| | | BH_LowPeakBPM <= 0.126984: 1 (15.0) +| | | BH_LowPeakBPM > 0.126984 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.119123: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.119123 +| | | | | BH_HighPeakBPM <= 0.180451 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.359163: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.359163: 0 (11.0) +| | | | | BH_HighPeakBPM > 0.180451 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.676178 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.455678 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.111497 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.642492: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.642492: 0 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.111497: 1 (48.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.455678: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.676178 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.064388: 1 (8.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.064388 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.388682: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.388682: 0 (15.0/1.0) +| | sad-lonely- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.118118: 1 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.118118: 0 (22.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884: 0 (30.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.354608: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.354608: 1 (3.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.135246 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.187278: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.187278: 1 (4.0) +| | sad-lonely- = 1: 0 (4.0) +| Std_Acc1298_Mean_Mem40_MFCC_2 > 0.135246 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.409689: 0 (120.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.409689 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.334096: 1 (4.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.334096: 0 (7.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Mean_Mem40_Centroid <= 0.250489 +| | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.207444: 0 (41.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.207444 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.065528: 0 (13.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.065528 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071333: 0 (9.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071333 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.076259 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.436376: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.436376: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.076259 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.199474 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.209482: 1 (8.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.209482: 0 (8.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.199474: 1 (49.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.109036: 1 (9.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.109036 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.746006 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.111575: 0 (27.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.111575 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.220931: 1 (6.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.220931 +| | | | | | | | BH_LowPeakBPM <= 0.730159 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.337634: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.337634 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.666279 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.157956: 1 (3.0/1.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.157956: 0 (28.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.666279: 1 (2.0) +| | | | | | | | BH_LowPeakBPM > 0.730159: 1 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.746006: 1 (5.0) +| Std_Acc1298_Mean_Mem40_Centroid > 0.250489: 0 (19.0) +sad-lonely- = 1: 0 (86.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.110615: 0 (82.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.110615 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | BHSUM2 <= 0.358655 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.080043: 0 (12.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.080043 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.234127 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.248791: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.248791: 0 (11.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.234127 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.70408 +| | | | | | BH_HighPeakBPM <= 0.481203 +| | | | | | | BH_HighPeakBPM <= 0.06015 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.398751: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.398751: 1 (3.0) +| | | | | | | BH_HighPeakBPM > 0.06015 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.597321 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.605375: 1 (82.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.605375 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.494864: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.494864: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.597321 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.165309: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.165309: 1 (4.0) +| | | | | | BH_HighPeakBPM > 0.481203 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.600948 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.500435 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.195553: 0 (6.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.195553 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.384316 +| | | | | | | | | | | BHSUM2 <= 0.194936: 1 (20.0/1.0) +| | | | | | | | | | | BHSUM2 > 0.194936: 0 (5.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.384316: 0 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.500435: 1 (23.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.600948: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.70408 +| | | | | | BH_HighPeakBPM <= 0.240602: 1 (3.0) +| | | | | | BH_HighPeakBPM > 0.240602: 0 (10.0) +| | BHSUM2 > 0.358655: 0 (12.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (31.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456269 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.702015: 0 (203.0/2.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.702015 +| | BHSUM3 <= 0.149005: 1 (4.0) +| | BHSUM3 > 0.149005: 0 (7.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456269 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.16649 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.283276 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.027946: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.027946: 0 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.283276 +| | | | BHSUM1 <= 0.180309: 1 (55.0) +| | | | BHSUM1 > 0.180309 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.513094 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.227449: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.227449: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.513094: 1 (11.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.16649: 0 (7.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.240679: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.240679: 0 (25.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.097773 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.244651 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.033828: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.033828 +| | | BHSUM1 <= 0.076952: 1 (2.0) +| | | BHSUM1 > 0.076952: 0 (21.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.244651 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.570136 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.160446: 1 (44.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.160446: 0 (3.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.570136: 0 (5.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.097773 +| Mean_Acc1298_Std_Mem40_Centroid <= 0.273946 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.31906 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.07861 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.129484: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.129484: 0 (5.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.07861 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.26103: 0 (49.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.26103 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.275664: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.275664 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.373855 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.24648: 1 (3.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.24648: 0 (30.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.373855: 1 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.31906 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.614573 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.458271: 1 (17.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.458271 +| | | | | BH_HighPeakAmp <= 0.011079: 1 (5.0/1.0) +| | | | | BH_HighPeakAmp > 0.011079: 0 (9.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.614573: 0 (10.0) +| Mean_Acc1298_Std_Mem40_Centroid > 0.273946: 0 (109.0/2.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| happy-pleased- = 0 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.179201: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.179201 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.499921: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.499921: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.391843 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.035237 +| | | | | | | amazed-suprised- = 0: 1 (2.0) +| | | | | | | amazed-suprised- = 1: 0 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.035237 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.669711: 1 (75.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.669711 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.450318: 0 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.450318: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.391843: 0 (5.0/1.0) +| | sad-lonely- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.406641 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.330105: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.330105: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.406641: 0 (20.0) +| happy-pleased- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.437201: 0 (28.0) +| | Std_Acc1298_Std_Mem40_MFCC_0 > 0.437201 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.623216: 0 (11.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.623216: 1 (6.0/1.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_Flux <= 0.028154 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.196921: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.196921: 0 (6.0) +| Mean_Acc1298_Std_Mem40_Flux > 0.028154: 0 (133.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #2 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.237361: 1 (32.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.237361 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.459691 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.40629: 0 (4.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.40629: 1 (9.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.459691: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.04283: 1 (15.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.04283 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.135337 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.148174: 1 (12.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.148174 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.303717: 0 (7.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.303717: 1 (3.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.135337 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.801719 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.58974 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.094998 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.077987: 0 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.077987: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.094998 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.335898: 0 (135.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.335898 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.285826: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.285826 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.535602: 0 (31.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.535602 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.425433: 0 (8.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.425433: 1 (4.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.58974 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.204353: 0 (12.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.204353: 1 (11.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.801719 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.859047 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.303548: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.303548: 1 (14.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.859047: 0 (7.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.115706 +| | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.202054: 1 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_1 > 0.202054 +| | | amazed-suprised- = 0: 0 (70.0/1.0) +| | | amazed-suprised- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.079844: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.079844: 0 (2.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.115706 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.074951: 0 (12.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.074951 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.29123 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.117941: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.117941: 1 (36.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.29123 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.459001 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.284029 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.631817 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.285339 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.529555: 1 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.529555: 0 (7.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.285339: 0 (36.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.631817: 1 (6.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.284029: 1 (13.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.459001: 1 (11.0) +angry-aggresive- = 1 +| BH_HighPeakBPM <= 0.721805 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.394482 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.518826: 0 (93.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.518826 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.393123: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.393123: 0 (12.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.394482 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.361922: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.361922: 0 (2.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.261102: 0 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.261102: 1 (4.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.11714: 0 (31.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.11714 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.118469 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.317694 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.193909: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.193909 +| | | | | | quiet-still- = 0 +| | | | | | | BHSUM1 <= 0.295165: 0 (10.0/1.0) +| | | | | | | BHSUM1 > 0.295165: 1 (8.0/1.0) +| | | | | | quiet-still- = 1 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.102126 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.39843: 1 (30.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.39843: 0 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.102126 +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.110823: 0 (7.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.110823: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.317694: 1 (33.0/1.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.118469: 1 (48.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.446184 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.351892: 0 (18.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.351892: 1 (4.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.446184: 1 (6.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.410181: 0 (107.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.410181 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.094518: 1 (4.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.094518: 0 (10.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Std_Mem40_Rolloff <= 0.15134 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.37197 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.242874 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.390327: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.390327: 1 (4.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.242874 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.289515 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.143496: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.143496: 1 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.289515: 1 (64.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.37197: 0 (5.0) +| | happy-pleased- = 1 +| | | BH_HighPeakBPM <= 0.721805: 0 (11.0) +| | | BH_HighPeakBPM > 0.721805: 1 (2.0) +| amazed-suprised- = 1: 0 (19.0) +Mean_Acc1298_Std_Mem40_Rolloff > 0.15134 +| Std_Acc1298_Mean_Mem40_Rolloff <= 0.635756: 0 (204.0/3.0) +| Std_Acc1298_Mean_Mem40_Rolloff > 0.635756 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.232652: 0 (7.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.232652: 1 (4.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.138701: 0 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.138701 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.531428 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.43051 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.31787: 1 (25.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.31787 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.411444: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.411444: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.43051: 0 (7.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.531428: 0 (6.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.868497: 0 (90.0/2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.868497 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.320498: 0 (9.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.320498: 1 (5.0) +| | | relaxing-clam- = 1: 1 (3.0/1.0) +| happy-pleased- = 1 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.216932: 0 (81.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.216932 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 1 (2.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.109368: 0 (7.0) +| | Std_Acc1298_Std_Mem40_MFCC_12 > 0.109368 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.793148 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.608989 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329: 1 (50.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.608989 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.278367: 0 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.278367: 1 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.793148: 0 (4.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.155771 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.046434: 0 (13.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.046434 +| | BH_LowPeakAmp <= 0.011425: 0 (11.0) +| | BH_LowPeakAmp > 0.011425 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.233792 +| | | | BH_LowPeakAmp <= 0.361027 +| | | | | BH_HighPeakBPM <= 0.458647 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.084135: 1 (28.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.084135 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.387806 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.234503 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.257018: 1 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.257018: 0 (13.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.234503 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.217612 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.102489: 0 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.102489: 1 (19.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.217612: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.387806: 0 (14.0) +| | | | | BH_HighPeakBPM > 0.458647 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.182546 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.419189: 0 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.419189: 1 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.182546: 1 (45.0) +| | | | BH_LowPeakAmp > 0.361027 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.00937: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.00937 +| | | | | | BHSUM2 <= 0.520948: 0 (14.0) +| | | | | | BHSUM2 > 0.520948 +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.291346 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.154893: 0 (12.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.154893: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.291346: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.233792 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.379147: 0 (16.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.379147: 1 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.155771 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.14816 +| | Std_Acc1298_Std_Mem40_Flux <= 0.918895: 0 (6.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.918895: 1 (4.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.14816 +| | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.448353: 0 (98.0) +| | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.448353 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.280225: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.280225: 1 (2.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #3 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077771 +| Std_Acc1298_Std_Mem40_MFCC_3 <= 0.036837: 0 (4.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_3 > 0.036837: 1 (33.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077771 +| quiet-still- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.110858: 1 (13.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.110858 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.722836 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.403734 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.257838 +| | | | | | BH_HighPeakBPM <= 0.150376: 1 (5.0) +| | | | | | BH_HighPeakBPM > 0.150376 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.031466: 1 (8.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.031466 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.078738 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.521: 1 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.521: 0 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.078738 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.372491 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.190478: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.190478: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.372491 +| | | | | | | | | | BHSUM1 <= 0.365938: 0 (48.0) +| | | | | | | | | | BHSUM1 > 0.365938 +| | | | | | | | | | | sad-lonely- = 0: 1 (3.0) +| | | | | | | | | | | sad-lonely- = 1: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.257838 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.145201: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.145201: 1 (15.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.403734 +| | | | | angry-aggresive- = 0: 0 (52.0) +| | | | | angry-aggresive- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.629334 +| | | | | | | BH_LowPeakAmp <= 0.036938 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.344494: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.344494: 0 (2.0) +| | | | | | | BH_LowPeakAmp > 0.036938: 0 (30.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.629334: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.722836 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.055472: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.055472: 1 (10.0) +| quiet-still- = 1: 0 (79.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.21066: 0 (8.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.21066 +| | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.363992 +| | | | BHSUM3 <= 0.71056 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.421221 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.258382 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.262546: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.262546: 0 (13.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.258382: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.421221 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.054465 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.08124: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.08124: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.054465 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.43051 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.475809: 1 (67.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.475809 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.240286: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.240286: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.43051 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.357384: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.357384: 1 (5.0) +| | | | BHSUM3 > 0.71056: 0 (8.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.363992 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.532626: 0 (16.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.532626: 1 (2.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.399342 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.444071: 0 (66.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.444071 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.213035: 0 (16.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.213035 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.152876 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.451012: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.451012: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.152876: 0 (9.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.399342 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.317357: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.317357: 1 (4.0) +quiet-still- = 1 +| BH_LowPeakBPM <= 0.031746 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.422435: 0 (2.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.422435: 1 (2.0) +| BH_LowPeakBPM > 0.031746: 0 (75.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.753977 +| | | sad-lonely- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.181922 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.341495: 0 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.341495: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.181922: 1 (83.0/1.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.188987: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.188987 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.513499 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.266071 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.575269: 1 (36.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.575269: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.266071 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.563822: 1 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.563822 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.152329: 1 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.152329: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.513499: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.753977 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.143949: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.143949: 0 (13.0/1.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.380412: 0 (33.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.380412 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.433376: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.433376: 0 (9.0/1.0) +angry-aggresive- = 1 +| quiet-still- = 0 +| | sad-lonely- = 0: 0 (101.0) +| | sad-lonely- = 1 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.198995: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.198995: 0 (3.0) +| quiet-still- = 1: 1 (2.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.126802 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.191413: 0 (9.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.191413 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.201809: 0 (5.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.201809 +| | | | BHSUM1 <= 0.197293: 1 (56.0/1.0) +| | | | BHSUM1 > 0.197293 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.396406: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.396406 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.46092: 1 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.46092: 0 (2.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.691311: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.691311: 1 (2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.126802 +| BH_LowPeakAmp <= 0.024763 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.539398: 1 (7.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.539398: 0 (21.0/1.0) +| BH_LowPeakAmp > 0.024763 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.342369: 0 (192.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.342369 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.35457: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.35457: 0 (13.0/1.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.135981 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.219593: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.219593: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.135981 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.410195: 1 (5.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.410195 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.556056: 0 (26.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.556056 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517105 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.554147: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.554147: 1 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517105: 0 (8.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.375296 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.334916: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.334916: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.375296: 0 (90.0/2.0) +| happy-pleased- = 1: 0 (98.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517105 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.164318: 1 (44.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.164318 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.322633 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.08638: 1 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.08638: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.322633: 1 (8.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517105 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.259065: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.259065: 0 (10.0) +| | angry-aggresive- = 1: 0 (2.0) +| happy-pleased- = 1: 0 (2.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.192317 +| Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.552866 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.220104 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.430625 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.246527 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.201072 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.418938 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.121093: 1 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.121093: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.418938 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40987: 0 (7.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40987: 1 (3.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.201072: 1 (36.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.246527 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.085729: 1 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.085729 +| | | | | | BH_HighPeakAmp <= 0.015616 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.556538: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.556538: 0 (3.0) +| | | | | | BH_HighPeakAmp > 0.015616: 0 (19.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.430625: 1 (32.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.220104 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.828911: 0 (23.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.828911: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.552866: 0 (16.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.192317 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.210357: 0 (118.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.210357 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.119643: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.119643 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.730135 +| | | | BH_LowPeakBPM <= 0.555556: 0 (25.0) +| | | | BH_LowPeakBPM > 0.555556 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.27447: 0 (7.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.27447: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.730135: 1 (2.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #4 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.135881 +| BH_HighPeakBPM <= 0.496241 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.276911: 1 (35.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.276911 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.237171 +| | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.224125: 1 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.224125: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.237171: 1 (8.0) +| BH_HighPeakBPM > 0.496241: 0 (6.0) +Std_Acc1298_Mean_Mem40_MFCC_6 > 0.135881 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.100703 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.266733 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557352: 1 (11.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557352: 0 (2.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.266733: 0 (5.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.100703 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.746963 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.182124 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.043106 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.122963: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.122963: 0 (15.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.043106: 1 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.182124 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.251247 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.542393: 0 (13.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.542393: 1 (5.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.251247: 0 (173.0/2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.746963 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.327892: 1 (11.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.327892 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.077687: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.077687 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.350558: 0 (18.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.350558: 1 (3.0/1.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.50233 +| | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.213259: 0 (19.0) +| | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.213259 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.083236 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.125263: 1 (5.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.125263: 0 (4.0) +| | | | amazed-suprised- = 1: 0 (20.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.083236 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.249194 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178599 +| | | | | | BH_HighPeakAmp <= 0.399635 +| | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.306895 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.140913: 0 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.140913: 1 (21.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.306895: 0 (5.0/1.0) +| | | | | | BH_HighPeakAmp > 0.399635: 0 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178599: 1 (33.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.249194 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.530144 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.320318: 0 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.320318 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.073383: 0 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.073383 +| | | | | | | | BH_HighPeakBPM <= 0.593985: 1 (17.0) +| | | | | | | | BH_HighPeakBPM > 0.593985: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.530144: 0 (11.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.50233 +| | Std_Acc1298_Std_Mem40_Flux <= 0.820629: 1 (4.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.820629 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.452697: 0 (55.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.452697 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.237145: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.237145: 0 (2.0) +sad-lonely- = 1: 0 (104.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759577 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.188077 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.408297: 0 (7.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.408297: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.188077 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.533854 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.230949 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.618007: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.618007: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.230949 +| | | | | | BH_HighPeakBPM <= 0.691729: 1 (132.0/3.0) +| | | | | | BH_HighPeakBPM > 0.691729 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.280453: 1 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.280453: 0 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.533854 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.355478 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.125369: 0 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.125369: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.355478: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759577: 0 (11.0/1.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.41396: 0 (45.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.41396 +| | | happy-pleased- = 0: 0 (2.0) +| | | happy-pleased- = 1: 1 (4.0) +angry-aggresive- = 1 +| BH_HighPeakBPM <= 0.721805: 0 (84.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.478642: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.478642: 0 (3.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.103832 +| happy-pleased- = 0 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.174013 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.371716 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.155826: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.155826: 0 (5.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.371716: 1 (56.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.174013: 0 (5.0/1.0) +| | amazed-suprised- = 1: 0 (4.0) +| happy-pleased- = 1: 0 (10.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.103832 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.500211 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.135898 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.396184: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.396184 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.042545: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.042545 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.218709: 0 (30.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.218709: 1 (3.0/1.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.135898: 0 (190.0/3.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.500211 +| | BH_HighPeakAmp <= 0.097743: 1 (10.0) +| | BH_HighPeakAmp > 0.097743: 0 (3.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.104307 +| | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.521336 +| | | Std_Acc1298_Std_Mem40_Centroid <= 0.35396 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.439508 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.085607: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.085607 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.477789: 0 (12.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.477789: 1 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.439508: 1 (10.0) +| | | Std_Acc1298_Std_Mem40_Centroid > 0.35396: 1 (46.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.521336: 0 (5.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.104307 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.896465 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.44822: 0 (34.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.44822 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.232022: 0 (38.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.232022 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.247105: 1 (8.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.247105 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.228748: 1 (12.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.228748 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.210736: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.210736 +| | | | | | | | BH_LowPeakBPM <= 0.206349: 0 (19.0) +| | | | | | | | BH_LowPeakBPM > 0.206349 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.720255 +| | | | | | | | | | BHSUM1 <= 0.536923 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.465355: 1 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.465355: 0 (28.0/1.0) +| | | | | | | | | | BHSUM1 > 0.536923: 1 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.720255: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.896465: 1 (8.0/1.0) +amazed-suprised- = 1: 0 (87.0/1.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.088827 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.035237: 0 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.035237 +| | | | amazed-suprised- = 0: 1 (40.0/2.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.290443: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.290443 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.403246 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.078183: 0 (5.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.078183: 1 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.403246: 1 (16.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.509405: 0 (15.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.509405: 1 (5.0/1.0) +| quiet-still- = 1: 0 (4.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.088827 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.285651 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.467775 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.421523 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.720255: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.720255: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.421523: 1 (13.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.467775: 0 (6.0) +| | happy-pleased- = 1: 0 (12.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.285651 +| | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.699801 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.130719 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.373817: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.373817: 0 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.130719: 0 (169.0) +| | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.699801 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.553895: 0 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.553895: 1 (4.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #5 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.184234 +| Std_Acc1298_Std_Mem40_MFCC_5 <= 0.351384 +| | BH_LowPeakBPM <= 0.857143 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.029549 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.080155: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.080155: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.029549: 1 (28.0) +| | BH_LowPeakBPM > 0.857143: 0 (2.0) +| Std_Acc1298_Std_Mem40_MFCC_5 > 0.351384: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_4 > 0.184234 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.772767 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.193131 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.164572: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.164572 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.63551: 1 (12.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.63551 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.34138: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.34138: 0 (7.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.193131 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.358396 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.13033 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.121754 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.242142: 0 (38.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.242142 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.344585: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.344585: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.121754 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.333143: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.333143: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.13033: 0 (73.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.358396 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.509882: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.509882: 1 (7.0/1.0) +| | | quiet-still- = 1: 0 (84.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.772767 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.111683 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.139664: 1 (16.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.139664 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.138852: 0 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.138852: 1 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.111683 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.209283: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.209283: 0 (12.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.074951: 0 (32.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.074951 +| Mean_Acc1298_Std_Mem40_Centroid <= 0.055053: 0 (23.0) +| Mean_Acc1298_Std_Mem40_Centroid > 0.055053 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.275288 +| | | | BH_LowPeakAmp <= 0.014274: 0 (19.0) +| | | | BH_LowPeakAmp > 0.014274 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.335713 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.268279: 0 (15.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.268279 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.468172 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.371147 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.148078: 0 (12.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.148078 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.116166: 1 (12.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.116166 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.035316: 1 (7.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.035316 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.4128: 0 (11.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.4128 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.098726: 1 (8.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.098726 +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.211523: 1 (11.0/1.0) +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.211523 +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.305708 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.45242 +| | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.281365: 1 (2.0) +| | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.281365 +| | | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.687403: 0 (32.0) +| | | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.687403: 1 (2.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.45242: 1 (3.0) +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.305708: 1 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.371147: 1 (11.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.468172: 0 (9.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.335713: 0 (17.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.275288 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.717025 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.319821: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.319821: 1 (35.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.717025: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.117655: 0 (33.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.117655 +| | | | BH_HighPeakBPM <= 0.225564: 1 (3.0) +| | | | BH_HighPeakBPM > 0.225564 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.29095: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.29095: 0 (16.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.084987: 0 (22.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.084987 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759494 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.118101 +| | | | happy-pleased- = 0 +| | | | | sad-lonely- = 0: 0 (17.0) +| | | | | sad-lonely- = 1: 1 (2.0) +| | | | happy-pleased- = 1: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.118101 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.850346 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.072323 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.492188: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.492188: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.072323 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.212223 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.065055: 1 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.065055: 0 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.212223 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.529129 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.09468 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.601074: 1 (15.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.601074 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.675331: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.675331: 1 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.09468: 1 (123.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.529129 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.513363: 1 (7.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.513363: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.850346 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.12759: 1 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.12759: 0 (6.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759494: 0 (17.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.485135: 0 (75.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.485135 +| | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.442264: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.442264: 0 (3.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Std_Mem40_Rolloff <= 0.150008 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.188528 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.094467 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.201403: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.201403: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.094467: 1 (70.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.188528: 0 (10.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.29056: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.29056: 0 (29.0) +Mean_Acc1298_Std_Mem40_Rolloff > 0.150008 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.351058: 0 (157.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.351058 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.640836 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.0666: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.0666 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.264714: 0 (36.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.264714 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.40629: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.40629: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.640836: 1 (6.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.6091 +| | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.191795: 0 (82.0/4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.191795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.240364 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.262257 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.259561: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.259561: 0 (9.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.262257: 1 (10.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.240364 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.678322: 0 (25.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.678322: 1 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.6091 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.381451: 1 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.381451: 0 (3.0) +| happy-pleased- = 1: 0 (95.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.106099: 0 (8.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.106099 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.553061 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.477365 +| | | | | BHSUM1 <= 0.155049: 1 (43.0) +| | | | | BHSUM1 > 0.155049 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.314996: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.314996 +| | | | | | | BH_HighPeakAmp <= 0.003617: 0 (4.0/1.0) +| | | | | | | BH_HighPeakAmp > 0.003617: 1 (14.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.477365: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.553061: 0 (6.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.11819 +| BH_HighPeakAmp <= 0.048561: 1 (31.0) +| BH_HighPeakAmp > 0.048561 +| | relaxing-clam- = 0 +| | | happy-pleased- = 0 +| | | | amazed-suprised- = 0: 1 (17.0/1.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.62961 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.379937 +| | | | | | | BH_LowPeakBPM <= 0.555556: 0 (14.0/1.0) +| | | | | | | BH_LowPeakBPM > 0.555556: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.379937: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.62961: 1 (8.0) +| | | happy-pleased- = 1: 0 (6.0/1.0) +| | relaxing-clam- = 1: 0 (5.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.11819 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.133233 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.755534 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.212157: 1 (13.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.212157: 0 (6.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.755534: 0 (4.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.133233 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.150219 +| | | | BH_HighPeakBPM <= 0.541353: 0 (18.0) +| | | | BH_HighPeakBPM > 0.541353: 1 (6.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.150219: 0 (167.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263162: 0 (16.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263162 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.306835: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.306835: 0 (4.0/1.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #6 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.083868 +| Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.689409 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.159044 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.419829: 1 (43.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.419829: 0 (3.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.159044 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.553228: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.553228: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.689409: 0 (5.0) +Std_Acc1298_Mean_Mem40_MFCC_7 > 0.083868 +| sad-lonely- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.0813: 1 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.0813 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.595041 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.525105 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.382708 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.090226: 0 (12.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.090226 +| | | | | | | | BHSUM3 <= 0.208696 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.08278: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.08278: 0 (19.0/1.0) +| | | | | | | | BHSUM3 > 0.208696 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.34911 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.643657 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.159003: 0 (2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.159003: 1 (26.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.643657: 0 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.34911: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.382708: 0 (35.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.525105 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.255781 +| | | | | | | BH_LowPeakBPM <= 0.253968 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.264045: 0 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.264045: 1 (5.0) +| | | | | | | BH_LowPeakBPM > 0.253968: 0 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.255781: 1 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.595041: 0 (24.0) +| | quiet-still- = 1: 0 (21.0) +| sad-lonely- = 1: 0 (89.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.58845 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.454831 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.292802 +| | | | | | amazed-suprised- = 0: 1 (2.0) +| | | | | | amazed-suprised- = 1: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.292802 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.066898: 0 (5.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.066898: 1 (66.0/5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.454831 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.2936: 0 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.2936: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.58845: 0 (7.0) +| | quiet-still- = 1 +| | | BH_HighPeakAmp <= 0.037601: 0 (18.0/1.0) +| | | BH_HighPeakAmp > 0.037601: 1 (3.0) +| angry-aggresive- = 1: 0 (117.0/4.0) +sad-lonely- = 1: 0 (92.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.13393 +| Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.770847: 0 (99.0) +| Mean_Acc1298_Std_Mem40_MFCC_6 > 0.770847 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.171271: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.171271: 1 (2.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.13393 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.250969 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.111577 +| | | | quiet-still- = 0 +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.192655: 0 (19.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.192655: 1 (2.0) +| | | | quiet-still- = 1: 1 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.111577 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194402 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.693156: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.693156: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.194402 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.701042 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.494057 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.119086 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.427494: 1 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.427494: 0 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.119086: 1 (105.0/3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.494057 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.272808: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.272808: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.701042 +| | | | | | BH_HighPeakBPM <= 0.421053: 1 (3.0) +| | | | | | BH_HighPeakBPM > 0.421053: 0 (8.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.250969: 0 (10.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.069743: 1 (4.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.069743 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.106446 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.435993: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.435993: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.106446: 0 (32.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.462262 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.06538 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.491812: 0 (7.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.491812: 1 (5.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.06538 +| | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.188057: 0 (166.0) +| | Std_Acc1298_Std_Mem40_MFCC_12 > 0.188057 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.672727 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.487888 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.459437: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.459437: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.487888: 0 (43.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.672727: 1 (4.0/1.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.462262 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.142908 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.152046: 0 (10.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.152046 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.303664: 1 (48.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.303664 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.280939: 0 (8.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.280939: 1 (7.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.142908 +| | BH_HighPeakBPM <= 0.120301: 1 (2.0) +| | BH_HighPeakBPM > 0.120301: 0 (22.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Mean_Acc1298_Mean_Mem40_Centroid <= 0.179849 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.192695: 0 (13.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.192695 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.365992 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.504253 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.165309: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.165309: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.504253: 1 (17.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.365992 +| | | | BH_LowPeakBPM <= 0.174603: 1 (2.0) +| | | | BH_LowPeakBPM > 0.174603: 0 (8.0) +| Mean_Acc1298_Mean_Mem40_Centroid > 0.179849 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.501065 +| | | BHSUM2 <= 0.024335 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.738289: 0 (5.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.738289: 1 (6.0) +| | | BHSUM2 > 0.024335 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.436114: 0 (85.0/2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.436114 +| | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.075231: 1 (12.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_Flux > 0.075231 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.125921: 0 (23.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.125921 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.494864: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.494864: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.501065: 0 (77.0) +quiet-still- = 1 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.09677 +| | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.38724 +| | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.29675 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.570186: 1 (6.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.570186: 0 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.29675: 1 (6.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.38724: 1 (30.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.09677 +| | BH_LowPeakAmp <= 0.008161: 1 (4.0) +| | BH_LowPeakAmp > 0.008161 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.613113 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.448825: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.448825: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.613113: 0 (11.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.173138 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.470999 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.218241: 1 (24.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.218241 +| | | | quiet-still- = 0 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.332093 +| | | | | | BH_HighPeakBPM <= 0.240602 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.135059: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.135059 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.103025: 1 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.103025: 0 (33.0/1.0) +| | | | | | BH_HighPeakBPM > 0.240602 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.096297 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.891965: 0 (8.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.891965: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.096297: 1 (23.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.332093: 1 (19.0/1.0) +| | | | quiet-still- = 1: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.470999: 1 (49.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.173138: 0 (27.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.424137: 0 (125.0) +| Mean_Acc1298_Std_Mem40_MFCC_1 > 0.424137 +| | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.489943: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.489943: 0 (4.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #7 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.10064 +| | Std_Acc1298_Std_Mem40_Rolloff <= 0.086486: 0 (2.0) +| | Std_Acc1298_Std_Mem40_Rolloff > 0.086486: 1 (18.0) +| Std_Acc1298_Mean_Mem40_MFCC_2 > 0.10064 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.125719: 0 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.125719 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.200585: 1 (19.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.200585 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.522018: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.522018: 1 (3.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.143269 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.405753: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.405753: 1 (13.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.143269 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.199201 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.117952: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.117952 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.291386: 1 (11.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.291386: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.199201 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.181583 +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.055179: 0 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.055179: 1 (6.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.181583 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.45242: 0 (136.0/15.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.45242 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.469871: 1 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.469871: 0 (4.0) +quiet-still- = 1: 0 (89.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.361774 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.0882: 0 (33.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.0882 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.315693 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.456975 +| | | | | BH_HighPeakBPM <= 0.120301: 0 (22.0) +| | | | | BH_HighPeakBPM > 0.120301 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.640916 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.678127 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.24027 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.101977 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.353795 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.398244: 0 (10.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.398244 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.032126: 0 (3.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.032126 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.101212 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.183036: 1 (4.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.183036: 0 (3.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.101212: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.353795: 0 (22.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.101977 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.680556 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.151078 +| | | | | | | | | | | | BH_LowPeakBPM <= 0.349206: 0 (9.0/1.0) +| | | | | | | | | | | | BH_LowPeakBPM > 0.349206: 1 (4.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.151078: 1 (25.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.680556: 0 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.24027: 0 (12.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.678127: 1 (8.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.640916: 0 (17.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.456975: 1 (9.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.315693: 0 (22.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.361774 +| | BH_LowPeakBPM <= 0.460317: 1 (19.0) +| | BH_LowPeakBPM > 0.460317: 0 (4.0/1.0) +quiet-still- = 1 +| BHSUM2 <= 0.211311: 0 (81.0/1.0) +| BHSUM2 > 0.211311 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.100745: 0 (5.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.100745: 1 (3.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081151 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.374812: 0 (86.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.374812 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.286791: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.286791: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081151 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.780447 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.341277: 1 (44.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.341277 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.414278 +| | | | | Std_Acc1298_Std_Mem40_Flux <= 0.912623 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.090341: 0 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.090341 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.156382 +| | | | | | | | BHSUM1 <= 0.056146: 0 (8.0) +| | | | | | | | BHSUM1 > 0.056146 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.346544: 1 (10.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.346544 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.322672: 0 (10.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.322672 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.794385 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.287193 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.324418: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.324418: 0 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.287193: 1 (15.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.794385: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.156382: 1 (20.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Flux > 0.912623 +| | | | | | BH_LowPeakAmp <= 0.057412: 1 (33.0) +| | | | | | BH_LowPeakAmp > 0.057412 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.038672: 0 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.038672: 1 (15.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.414278: 0 (9.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.156739 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.290683: 1 (7.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.290683: 0 (4.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.156739: 0 (17.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.780447: 0 (23.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.180312 +| BH_HighPeakAmp <= 0.048217 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.186696: 0 (6.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.186696 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.443173 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.202755: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.202755: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.443173 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.203953 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.409839: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.409839: 1 (2.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.203953: 1 (75.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (13.0/1.0) +| BH_HighPeakAmp > 0.048217 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.294423: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.294423 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.500354: 0 (44.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.500354: 1 (3.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.180312: 0 (172.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309289 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.327673 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.325447 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.308186: 1 (16.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.308186: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.325447 +| | | | | BH_HighPeakBPM <= 0.721805 +| | | | | | amazed-suprised- = 0 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.415484 +| | | | | | | | angry-aggresive- = 0 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.413393: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.413393: 1 (9.0) +| | | | | | | | angry-aggresive- = 1: 0 (10.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.415484: 0 (15.0) +| | | | | | amazed-suprised- = 1: 0 (27.0) +| | | | | BH_HighPeakBPM > 0.721805: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.327673: 0 (62.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309289: 1 (10.0/1.0) +| happy-pleased- = 1: 0 (79.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (7.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.25819 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.682003 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.227995 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.178059: 1 (5.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.178059: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.227995 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.731101: 1 (56.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.731101: 0 (3.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.682003: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.25819: 0 (4.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.249621: 0 (8.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.249621 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.425965 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.232715 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.060181: 1 (30.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.060181 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.395557 +| | | | | | | | BH_LowPeakBPM <= 0.079365: 0 (3.0) +| | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.152098: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.152098 +| | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.93205: 1 (24.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.93205: 0 (3.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.395557: 0 (7.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.232715: 0 (5.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.425965: 1 (37.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.238487: 0 (18.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.238487 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.232054 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.153725: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.153725: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.232054: 1 (6.0) +| quiet-still- = 1 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.029089: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.029089: 0 (25.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.55673: 0 (140.0/1.0) +| Mean_Acc1298_Std_Mem40_MFCC_5 > 0.55673 +| | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.339051: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.339051: 0 (5.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #8 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.108684 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.114255 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.04937: 0 (3.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.04937: 1 (31.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.114255: 0 (4.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.108684 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.118249 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.039883: 0 (4.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.039883: 1 (16.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.118249 +| | quiet-still- = 0 +| | | BH_LowPeakBPM <= 0.079365 +| | | | Std_Acc1298_Std_Mem40_Flux <= 0.880957: 0 (8.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Flux > 0.880957: 1 (11.0) +| | | BH_LowPeakBPM > 0.079365 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.256977 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.206509 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.418758: 0 (12.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.418758: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.206509: 1 (10.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.256977 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.557254: 0 (45.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.557254 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.396083 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.064641 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.362075: 0 (5.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.362075: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.064641: 0 (73.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.396083 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.392458: 0 (8.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.392458 +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.383485: 1 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.383485 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.226245: 1 (3.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.226245: 0 (7.0) +| | quiet-still- = 1: 0 (71.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.394547: 0 (12.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.394547 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.209598: 0 (9.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.209598 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.606206 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.371904 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.274854 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.413664 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.20371: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.20371 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.384398 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.199851: 0 (5.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.199851 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.476942 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.142809: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.142809: 1 (11.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.476942: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.384398: 1 (28.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.413664: 0 (11.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.274854 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.418513: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.418513: 1 (27.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.371904: 0 (9.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281: 1 (19.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.606206: 0 (7.0) +| quiet-still- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.200802 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.292132: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.292132: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.200802 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.888492 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.544443: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.544443: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.888492: 0 (58.0) +angry-aggresive- = 1: 0 (109.0/2.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.109036: 0 (23.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.109036 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.212575 +| | | | BH_LowPeakBPM <= 0.619048 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.589358: 1 (101.0/3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.589358 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.646732 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.482846: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.482846: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.646732: 1 (11.0) +| | | | BH_LowPeakBPM > 0.619048 +| | | | | BH_LowPeakBPM <= 0.666667: 0 (7.0/1.0) +| | | | | BH_LowPeakBPM > 0.666667 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.241011: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.241011: 1 (17.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.212575 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.304764 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.542566: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.542566: 0 (13.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.304764: 1 (4.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.407302: 0 (22.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.407302: 1 (6.0) +angry-aggresive- = 1 +| Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.2164 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.32866: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.32866: 0 (5.0) +| Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.2164: 0 (101.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.443173 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.18226: 0 (189.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.18226 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.554584: 0 (17.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.554584: 1 (4.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.443173 +| BH_HighPeakAmp <= 0.070132 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.171053 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.157156: 0 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.157156 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.201908: 0 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.201908 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.178054 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.122982 +| | | | | | | BH_LowPeakBPM <= 0.238095: 0 (3.0) +| | | | | | | BH_LowPeakBPM > 0.238095: 1 (13.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.122982: 1 (50.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.178054: 0 (5.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.171053: 0 (8.0) +| BH_HighPeakAmp > 0.070132 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032249: 1 (3.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032249: 0 (26.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.077081 +| happy-pleased- = 0: 1 (32.0/1.0) +| happy-pleased- = 1: 0 (3.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.077081 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.153548: 0 (92.0/3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.153548 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.399577: 0 (20.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.399577 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.133582: 0 (7.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.133582 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.577188 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.282527: 0 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.282527 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.56278: 1 (22.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.56278: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.577188: 0 (5.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.156359: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.156359: 0 (14.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.246741: 0 (79.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.246741 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.525655: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.525655: 1 (2.0) +| quiet-still- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.359434: 0 (16.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.359434 +| | | happy-pleased- = 0 +| | | | BHSUM1 <= 0.151317: 1 (14.0) +| | | | BHSUM1 > 0.151317 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.364391: 0 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.364391: 1 (2.0) +| | | happy-pleased- = 1: 0 (3.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.088827 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.326941 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.515993 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345: 1 (55.0/2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.849701: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.849701: 1 (11.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.515993 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.164703 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.761396: 0 (11.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.761396: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.164703: 1 (8.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.326941: 0 (5.0) +| quiet-still- = 1: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.088827 +| Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.554323 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.49544 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.142059 +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.235782 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.109235: 1 (3.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.109235: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.235782: 1 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.142059 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.611362: 0 (154.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.611362 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.513272: 0 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.513272: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.49544 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.498101: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.498101: 0 (6.0) +| Mean_Acc1298_Std_Mem40_MFCC_5 > 0.554323 +| | BH_HighPeakAmp <= 0.145839 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.51431: 1 (15.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.51431: 0 (3.0) +| | BH_HighPeakAmp > 0.145839: 0 (3.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #9 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_5 <= 0.119645: 1 (19.0) +Std_Acc1298_Std_Mem40_MFCC_5 > 0.119645 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.199603 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.371761: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.371761 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.051196 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.283952: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.283952: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.051196: 1 (26.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.199603 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.073459 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.17201: 1 (13.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.17201: 0 (7.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.073459 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.668286 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.578144: 0 (119.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.578144 +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (7.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.546544 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.20822 +| | | | | | | | BH_LowPeakBPM <= 0.126984: 1 (3.0) +| | | | | | | | BH_LowPeakBPM > 0.126984 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.287917: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.287917 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.246728: 0 (16.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.246728 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.34244: 1 (3.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.34244: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.20822 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.20924: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.20924: 0 (69.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.546544: 1 (7.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.668286 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.13089: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.13089 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.544239: 1 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.544239: 0 (2.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.614183 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.172968: 0 (6.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.172968 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.225624 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.111641 +| | | | | | | relaxing-clam- = 0 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.106497: 1 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.106497: 0 (4.0) +| | | | | | | relaxing-clam- = 1: 0 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.111641 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292639: 1 (60.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292639 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.559905: 1 (7.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.559905: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.225624 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.357328 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.100622: 0 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.100622: 1 (11.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.357328: 0 (7.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.614183: 0 (8.0) +| | quiet-still- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.658773: 0 (18.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.658773: 1 (2.0) +| angry-aggresive- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.360687 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.43934: 0 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.43934 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.379202: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.379202: 1 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.360687: 0 (68.0/1.0) +sad-lonely- = 1: 0 (95.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.121093 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.161608: 0 (34.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.161608 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.530103: 0 (9.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.530103: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.121093 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.183871: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.183871 +| | | BHSUM3 <= 0.049143 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.366488: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.366488: 0 (8.0) +| | | BHSUM3 > 0.049143 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.498164 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.287643: 1 (66.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.287643 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.311156: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.311156 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.59373: 1 (26.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.59373: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.498164 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.142582: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.142582 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.414257 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.232483 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.203209: 0 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.203209: 1 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.232483: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.414257 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.189205 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.067674: 0 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.067674: 1 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.189205 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.402329: 1 (33.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.402329: 0 (2.0) +amazed-suprised- = 1 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.496635: 0 (92.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.496635 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.386424: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.386424: 0 (3.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.114412 +| sad-lonely- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.252801 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167: 0 (18.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.252801: 1 (10.0/1.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.887006: 1 (62.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.887006 +| | | relaxing-clam- = 0: 0 (2.0) +| | | relaxing-clam- = 1: 1 (2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.114412 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.471739 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.171931 +| | | relaxing-clam- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.452319: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.452319: 0 (29.0) +| | | relaxing-clam- = 1: 1 (5.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.171931: 0 (182.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.471739 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.246456: 0 (5.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.246456: 1 (8.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.093115 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.570865 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.242071 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.219963: 1 (8.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.219963: 0 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.242071 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.570136: 1 (55.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.570136 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.081872: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.081872: 0 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.570865: 0 (6.0/1.0) +| amazed-suprised- = 1: 0 (5.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.093115 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.292447: 0 (101.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.292447 +| | BHSUM1 <= 0.531832 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.068724 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.590712: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.590712: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.068724 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.430429 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.252834 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.385199 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.128231: 0 (8.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.128231: 1 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.385199: 0 (28.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.252834: 0 (54.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.430429 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263297: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263297 +| | | | | | amazed-suprised- = 0 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.354838: 1 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.354838 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.6235: 0 (13.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.6235: 1 (3.0/1.0) +| | | | | | amazed-suprised- = 1: 0 (3.0) +| | BHSUM1 > 0.531832 +| | | BH_LowPeakBPM <= 0.301587: 0 (4.0) +| | | BH_LowPeakBPM > 0.301587: 1 (8.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.471353 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.053259: 1 (21.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.053259 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.049708 +| | | | | BH_HighPeakAmp <= 0.19204: 1 (15.0) +| | | | | BH_HighPeakAmp > 0.19204: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.049708 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.844972 +| | | | | | sad-lonely- = 0 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.40307 +| | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.939193 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.186903: 1 (6.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.186903 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.32609 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.547005 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.233163: 0 (12.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.233163 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.053062: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.053062: 1 (5.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.547005: 0 (34.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.32609: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.939193: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.40307: 1 (5.0) +| | | | | | sad-lonely- = 1: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.844972: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.471353: 1 (35.0/1.0) +| quiet-still- = 1: 0 (27.0/1.0) +relaxing-clam- = 1: 0 (146.0/1.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.meta.BaggingMLdup: Model #10 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.092625 +| relaxing-clam- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.229059: 1 (28.0) +| | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.229059 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.16856: 0 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.16856 +| | | | BHSUM1 <= 0.454627 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.488323: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.488323: 1 (2.0) +| | | | BHSUM1 > 0.454627: 1 (11.0) +| relaxing-clam- = 1: 0 (2.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.092625 +| relaxing-clam- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140958: 0 (30.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.140958 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.071588 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.17053: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.17053: 0 (24.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.071588 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.619939 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.118168: 0 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.118168 +| | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.036121: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.036121 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.105788: 1 (12.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.105788 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.147348: 0 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.147348 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.499829 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.257709: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.257709: 1 (25.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.499829 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.213145: 1 (4.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.213145: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.619939: 0 (8.0) +| relaxing-clam- = 1: 0 (144.0/5.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.375524: 0 (17.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.375524 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.535136 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.055722: 0 (8.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.055722 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.590441 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.125611: 0 (6.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.125611 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.697513 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.117986 +| | | | | | | | | BH_LowPeakBPM <= 0.206349: 1 (4.0) +| | | | | | | | | BH_LowPeakBPM > 0.206349: 0 (8.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.117986 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.246003: 1 (37.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.246003 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.362233 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.255101: 0 (7.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.255101: 1 (7.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.362233: 1 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.697513: 1 (28.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.590441 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.377607: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.377607: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.535136: 0 (10.0) +| angry-aggresive- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.429049: 0 (61.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.429049 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40569 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.12228: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.12228: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40569: 0 (17.0) +sad-lonely- = 1: 0 (85.0/1.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.073415: 0 (26.0) +| Std_Acc1298_Mean_Mem40_MFCC_8 > 0.073415 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.753977 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.468496: 0 (17.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.468496: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.128576 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.60065: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.60065: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.128576 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.686129 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 1 (63.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.489655 +| | | | | | | | BHSUM2 <= 0.237673: 1 (45.0) +| | | | | | | | BHSUM2 > 0.237673 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.280732: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.280732: 0 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.489655 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.400516 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.609951: 0 (8.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.609951: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.400516: 1 (10.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.686129 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.485313: 1 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.485313: 0 (9.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.753977 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.315665: 0 (18.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.315665: 1 (4.0/1.0) +angry-aggresive- = 1: 0 (93.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.462262 +| relaxing-clam- = 0: 0 (145.0) +| relaxing-clam- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.30584: 1 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.30584 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.605232: 0 (54.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.605232 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.431396: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.431396: 0 (10.0/1.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.462262 +| happy-pleased- = 0 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.102997: 0 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.102997 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.343242 +| | | | | BHSUM1 <= 0.1209: 1 (5.0) +| | | | | BHSUM1 > 0.1209: 0 (12.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.343242: 1 (62.0/2.0) +| | amazed-suprised- = 1: 0 (3.0) +| happy-pleased- = 1: 0 (24.0/1.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.097773 +| Std_Acc1298_Std_Mem40_Centroid <= 0.356218 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.441813 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.275266: 0 (21.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.275266: 1 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.441813: 1 (9.0/1.0) +| Std_Acc1298_Std_Mem40_Centroid > 0.356218: 1 (39.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.097773 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.5023 +| | BH_HighPeakBPM <= 0.406015 +| | | relaxing-clam- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.327306 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.066753: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.066753 +| | | | | | BH_LowPeakBPM <= 0.349206: 0 (10.0) +| | | | | | BH_LowPeakBPM > 0.349206: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.327306: 0 (86.0/4.0) +| | | relaxing-clam- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.698219 +| | | | | BHSUM1 <= 0.125832: 1 (6.0/1.0) +| | | | | BHSUM1 > 0.125832 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.354838 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.372348: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.372348: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.354838: 0 (37.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.698219: 1 (4.0) +| | BH_HighPeakBPM > 0.406015: 0 (83.0/1.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.5023 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.300872: 0 (7.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.300872 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.160462: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.160462: 1 (11.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.387135 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.904198 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.540459 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.36689 +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.471073 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.373685: 1 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.373685 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.679614 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.256977 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.080024: 0 (11.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.080024: 1 (14.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.256977 +| | | | | | | | BH_HighPeakBPM <= 0.526316: 0 (38.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.526316 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.556975: 1 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.556975: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.679614: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.471073: 1 (12.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.36689: 0 (34.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.540459 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.219697: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.219697: 1 (25.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.904198: 1 (15.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.387135 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.101555 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.242173: 0 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.242173: 1 (6.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.101555: 0 (144.0/1.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.BaggingMLdup +Options [-S, 1, -I, 10, -P, 67, -W, meka.classifiers.multilabel.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/CM.ref b/bin/test/meka/classifiers/multilabel/meta/CM.ref new file mode 100644 index 00000000..1d3b9588 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/CM.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.CM +Options [-I, 10, -W, meka.classifiers.multilabel.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/DeepML.ref b/bin/test/meka/classifiers/multilabel/meta/DeepML.ref new file mode 100644 index 00000000..dda025d7 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/DeepML.ref @@ -0,0 +1,18 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.DeepML +Options [-N, 2, -H, 10, -E, 1000, -r, 0.1, -m, 0.1, -W, meka.classifiers.multilabel.BR, --, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/EM.ref b/bin/test/meka/classifiers/multilabel/meta/EM.ref new file mode 100644 index 00000000..a9b3c59a --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/EM.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.EM +Options [-I, 10, -W, meka.classifiers.multilabel.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/EnsembleML.ref b/bin/test/meka/classifiers/multilabel/meta/EnsembleML.ref new file mode 100644 index 00000000..3da5c2a8 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/EnsembleML.ref @@ -0,0 +1,3202 @@ +== Model info + +Model +meka.classifiers.multilabel.meta.EnsembleML: Model #1 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.224621 +| | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.265748: 1 (25.0) +| | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.265748 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.092323: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.092323 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.271472: 0 (3.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.271472: 1 (12.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.224621 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.182152 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.16921 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.427985 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.480516: 1 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.480516: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.427985: 1 (17.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (4.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.16921: 0 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.182152 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.375382 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011: 0 (19.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011: 1 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.375382: 1 (2.0) +Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.342678 +| | BHSUM3 <= 0.361893 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.145049: 0 (39.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.145049 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.307783: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.307783 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.326117 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.652548: 0 (33.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.652548 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.292733: 1 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.292733: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.326117 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.292843: 1 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.292843: 0 (5.0) +| | BHSUM3 > 0.361893 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.230847: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.230847 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.368008: 1 (15.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.368008: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_3 > 0.342678: 0 (106.0/2.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.033828: 0 (24.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.033828 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (19.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.139621: 0 (23.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.139621 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.251971 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.16999 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.291815 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.143093 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.323245: 0 (13.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.323245 +| | | | | | | | | | BHSUM1 <= 0.354272 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.597712: 0 (8.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.597712: 1 (3.0) +| | | | | | | | | | BHSUM1 > 0.354272: 1 (12.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.143093: 1 (10.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.291815: 0 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.16999: 1 (12.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935: 0 (18.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281: 1 (15.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.251971 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.276106 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.23397: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.23397: 1 (11.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.276106 +| | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.113331 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.337755 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.487824: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.487824: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.337755: 0 (47.0) +| | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.113331 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.296063: 0 (14.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.296063 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.122713: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.122713 +| | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (6.0) +| | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.332684: 1 (10.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.332684 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.25838: 0 (17.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.25838 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.468848: 1 (6.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.468848: 0 (6.0/1.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.310709: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.310709 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.400545 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.686425: 0 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.686425: 1 (3.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.400545: 1 (2.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.116333 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.110373 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.089857: 0 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.089857: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.110373: 0 (83.0) +Std_Acc1298_Mean_Mem40_MFCC_7 > 0.116333 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759494 +| | amazed-suprised- = 0 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.111577: 0 (9.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.111577 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.144727: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.144727 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.219189: 1 (16.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.219189 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.21203: 0 (6.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.21203 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.292411: 1 (15.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.292411 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134: 0 (5.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.356218: 1 (20.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.356218 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.376951 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.325077 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.409211: 0 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.409211: 1 (2.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.325077: 1 (20.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.376951 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.480461 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.614965 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.524179: 0 (5.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.524179: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.614965: 1 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.480461: 0 (9.0) +| | | happy-pleased- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.52536: 1 (37.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.52536 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.313243: 0 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.313243: 1 (7.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.059895: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.059895 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.467402: 0 (21.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.467402 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.151238: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.151238: 1 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759494 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.335002: 0 (26.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.335002 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.369435: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.369435: 0 (6.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| | | | happy-pleased- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.102435 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.332239: 1 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.332239: 0 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.102435: 1 (57.0/1.0) +| | | | happy-pleased- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.614567: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.614567: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (10.0) +| amazed-suprised- = 1: 0 (11.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (149.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.524411: 0 (7.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.524411: 1 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (46.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.184077: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.184077: 0 (6.0/1.0) +| | happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.299837 +| | | amazed-suprised- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.155659: 0 (9.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.155659 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.111435: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.111435 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.726467 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.166345: 1 (8.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.166345 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.387373 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.301667: 1 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.301667: 0 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.387373 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.39297: 0 (13.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.39297: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.726467: 1 (10.0) +| | | amazed-suprised- = 1 +| | | | BHSUM3 <= 0.302358: 0 (19.0) +| | | | BHSUM3 > 0.302358 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.106743: 1 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.106743: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.299837 +| | | BH_LowPeakAmp <= 0.035314 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.476801: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.476801: 0 (3.0) +| | | BH_LowPeakAmp > 0.035314: 0 (67.0/1.0) +| happy-pleased- = 1: 0 (92.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.188045 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.576419 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.524658 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.436259: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.436259: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.524658: 1 (8.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.576419: 1 (26.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.188045 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.734316 +| | | | BHSUM3 <= 0.071184: 1 (4.0) +| | | | BHSUM3 > 0.071184 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.581551 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.273183: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.273183: 0 (6.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.581551: 0 (12.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.734316: 1 (5.0) +| happy-pleased- = 1: 0 (5.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (44.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.16022: 1 (19.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.16022 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.446796 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.45177: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.45177 +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.192479: 1 (8.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.192479: 0 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.446796: 1 (15.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.119769 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.047499: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.047499: 1 (8.0) +| | | | BH_HighPeakAmp > 0.119769: 0 (10.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.100572 +| | | | BH_HighPeakBPM <= 0.43609 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.251465: 0 (9.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.251465: 1 (2.0) +| | | | BH_HighPeakBPM > 0.43609: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.100572: 0 (31.0) +| quiet-still- = 1: 0 (25.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.163528 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.083751: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.083751: 0 (19.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.163528: 0 (113.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #2 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.838488 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.111877: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.111877: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.838488 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.079769 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.0185 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.405975: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.405975: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.0185: 1 (30.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.079769 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.093734: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.093734 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.613165 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.144852 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.287841 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.1965 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.50122 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.185697: 1 (4.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.185697: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.50122: 1 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.1965: 1 (15.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.287841 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.45497: 0 (12.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.45497: 1 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.144852: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.613165: 0 (7.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.12754: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.12754 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.353008: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.353008 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.293479: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.293479: 0 (7.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.068134 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.189979: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.189979: 0 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.068134: 0 (35.0) +relaxing-clam- = 1: 0 (138.0/4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.118249 +| | BHSUM1 <= 0.679256: 0 (37.0) +| | BHSUM1 > 0.679256 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.499981: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.499981: 0 (4.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.118249 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.581844 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.07121: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.07121 +| | | | relaxing-clam- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.356541 +| | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.425363 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.393815: 1 (19.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.393815: 0 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.425363: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.356541 +| | | | | | BH_LowPeakBPM <= 0.460317 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.15219: 1 (9.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.15219 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.206318: 0 (14.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.206318 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.287259: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.287259 +| | | | | | | | | | BHSUM2 <= 0.124143 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.265184: 1 (2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.265184: 0 (8.0) +| | | | | | | | | | BHSUM2 > 0.124143: 1 (8.0) +| | | | | | BH_LowPeakBPM > 0.460317: 0 (18.0/1.0) +| | | | relaxing-clam- = 1 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.545787 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.265608: 0 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.265608 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.237606: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.237606: 1 (39.0/3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.545787 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.188349: 1 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.188349 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.566338 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.596319: 0 (16.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.596319: 1 (3.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.566338: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.581844: 0 (18.0/1.0) +sad-lonely- = 1: 0 (96.0/1.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.11058 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.089983 +| | BH_HighPeakAmp <= 0.012667: 0 (5.0) +| | BH_HighPeakAmp > 0.012667 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.583634: 1 (8.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.583634: 0 (2.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.089983 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.147597: 0 (85.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.147597 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.399481 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.461866: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.461866: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.399481: 1 (4.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.11058 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.236319 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.40322: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.40322: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.236319 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.545742 +| | | | BH_HighPeakAmp <= 0.038984 +| | | | | sad-lonely- = 0: 1 (46.0) +| | | | | sad-lonely- = 1 +| | | | | | BH_HighPeakBPM <= 0.210526: 0 (2.0) +| | | | | | BH_HighPeakBPM > 0.210526 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.516212: 1 (17.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.516212: 0 (3.0/1.0) +| | | | BH_HighPeakAmp > 0.038984 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.180764: 0 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.180764 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.233391: 1 (18.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.233391 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.290636: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.290636 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.347117: 1 (12.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.347117: 0 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.545742 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.262789: 0 (11.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.262789 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.078766: 1 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.078766 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.326008 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.176592: 1 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.176592: 0 (10.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.326008 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795: 0 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (21.0/1.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14619 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.1753 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.368138 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.132573 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.229418: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.229418: 1 (24.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.132573: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.368138: 1 (53.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.1753: 0 (7.0/1.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0/1.0) +| amazed-suprised- = 1: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.14619 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.343769: 0 (195.0/2.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.343769 +| | BH_HighPeakAmp <= 0.029671: 1 (5.0/1.0) +| | BH_HighPeakAmp > 0.029671: 0 (11.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.13256: 0 (9.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.13256 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.349645 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.375187 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.241066: 0 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.241066 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.256163: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.256163: 1 (12.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.375187: 0 (7.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.349645: 1 (45.0/2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.095179: 0 (54.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.095179 +| | BH_HighPeakBPM <= 0.413534 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.199603: 0 (15.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.199603 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.34416 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.355649 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.351384 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.443389: 0 (14.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.443389: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.351384: 1 (9.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.355649: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.34416 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.209798: 0 (21.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.209798 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.476717 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.218918 +| | | | | | | | BH_LowPeakAmp <= 0.081118: 0 (7.0) +| | | | | | | | BH_LowPeakAmp > 0.081118 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.424586: 1 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.424586: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.218918: 0 (21.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.476717: 1 (6.0/1.0) +| | BH_HighPeakBPM > 0.413534 +| | | BH_LowPeakAmp <= 0.056409 +| | | | BH_HighPeakBPM <= 0.548872: 0 (20.0/1.0) +| | | | BH_HighPeakBPM > 0.548872 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.507961 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.072457: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.072457: 0 (14.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.507961 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.649663: 1 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.649663: 0 (2.0) +| | | BH_LowPeakAmp > 0.056409: 0 (41.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| happy-pleased- = 0 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.494864: 1 (39.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.494864 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.205734 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.359553 +| | | | | | BH_LowPeakAmp <= 0.585123: 0 (6.0) +| | | | | | BH_LowPeakAmp > 0.585123: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.359553 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.537182: 1 (45.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.537182 +| | | | | | | amazed-suprised- = 0: 1 (4.0) +| | | | | | | amazed-suprised- = 1 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.105261: 1 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.105261: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.205734: 0 (4.0) +| | sad-lonely- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.065075: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.065075 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.283922 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.139849 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.494029: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.494029: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.139849: 0 (30.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.283922: 1 (2.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.446743 +| | | BHSUM3 <= 0.19601: 1 (4.0) +| | | BHSUM3 > 0.19601 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.334304: 0 (13.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.334304: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.446743: 0 (22.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.163226 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.374781 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (24.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.374781: 1 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.163226: 0 (110.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #3 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_12 <= 0.077415 +| Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.496744: 1 (24.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.496744 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.101092: 1 (9.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.101092 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.332757: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.332757 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.227785 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.454324: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.454324: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.227785: 0 (10.0) +Std_Acc1298_Std_Mem40_MFCC_12 > 0.077415 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.809396 +| | Std_Acc1298_Std_Mem40_Rolloff <= 0.234993 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.443194: 0 (14.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.443194 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.403116 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.447531 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.278028: 1 (9.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.278028: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.447531 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.538051 +| | | | | | | BH_LowPeakBPM <= 0.095238: 1 (3.0/1.0) +| | | | | | | BH_LowPeakBPM > 0.095238: 0 (30.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.538051 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.518746: 1 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.518746: 0 (4.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.403116: 1 (6.0) +| | Std_Acc1298_Std_Mem40_Rolloff > 0.234993 +| | | angry-aggresive- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.254148 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.661092 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.180485: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.180485: 0 (18.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.661092: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.254148 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.410823: 0 (112.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.410823 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.347588: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.347588: 1 (2.0) +| | | angry-aggresive- = 1 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.546537 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.50201: 0 (26.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.50201 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.384915: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.384915: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.546537: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.809396 +| | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.192571 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.310127: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.310127 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.196926: 1 (17.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.196926: 0 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_8 > 0.192571: 0 (4.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.038582: 0 (26.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.038582 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.389079 +| | | | BH_HighPeakAmp <= 0.008157: 0 (4.0) +| | | | BH_HighPeakAmp > 0.008157: 1 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.389079: 0 (24.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.094251: 1 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.094251 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.477226 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.595575 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.206319: 0 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.206319 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.274854 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.348569 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.552233 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.307176: 0 (7.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.307176 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.535559 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.368981 +| | | | | | | | | | | | | BHSUM1 <= 0.088858: 0 (2.0) +| | | | | | | | | | | | | BHSUM1 > 0.088858: 1 (20.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.368981: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.535559 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.462982: 1 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.462982: 0 (10.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.552233 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.279794: 0 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.279794: 1 (19.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.348569: 0 (7.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.274854 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.497967 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.219773: 1 (4.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.219773: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.497967: 1 (20.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.595575 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.391382: 0 (11.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.391382: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.477226 +| | | | | BH_LowPeakBPM <= 0.206349 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.169051: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.169051: 1 (5.0) +| | | | | BH_LowPeakBPM > 0.206349: 0 (25.0/2.0) +angry-aggresive- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.103487 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.080722: 0 (8.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.080722 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.510551: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.510551: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.103487: 0 (87.0/4.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.212575 +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.303806 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.163757 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.243593: 0 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.243593: 1 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.163757 +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.119116 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.189811: 1 (9.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.189811 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.170624: 1 (8.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.170624 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.056132: 0 (9.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.056132 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.270413: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.270413: 1 (6.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.119116 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.360584: 1 (36.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.360584 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.363537: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.363537 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.580572: 1 (19.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.580572 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.303806: 1 (45.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.212575 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.190627: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.190627 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.613113: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.613113: 0 (4.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (9.0/1.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.574277 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.127813 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.348827: 0 (10.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.348827 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.086199: 0 (3.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.086199: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.127813: 0 (27.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.574277: 1 (3.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.408014: 0 (88.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.408014 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.116115: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.116115: 0 (2.0) +| | amazed-suprised- = 1: 0 (9.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.441969: 0 (202.0/7.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.441969 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | BHSUM3 <= 0.350612 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.336549 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.127601 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.240265: 1 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.240265: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.127601: 1 (12.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.336549: 1 (52.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (5.0) +| | | BHSUM3 > 0.350612: 0 (9.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (4.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (19.0) +| amazed-suprised- = 1: 0 (17.0) + +Number of Leaves : 10 + +Size of the tree : 19 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.099888: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.099888 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.671489 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.2625 +| | | | | | amazed-suprised- = 0 +| | | | | | | relaxing-clam- = 0: 1 (6.0) +| | | | | | | relaxing-clam- = 1 +| | | | | | | | BH_LowPeakBPM <= 0.174603: 0 (2.0) +| | | | | | | | BH_LowPeakBPM > 0.174603 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.371982 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.153816: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.153816: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.371982: 1 (16.0) +| | | | | | amazed-suprised- = 1 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.774025: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.774025: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.2625 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.725401: 0 (8.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.725401: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.671489: 0 (7.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0: 0 (90.0/4.0) +| | | relaxing-clam- = 1: 1 (3.0/1.0) +| happy-pleased- = 1: 0 (95.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.228381: 0 (9.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.228381 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.225014 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.05886: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.05886: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.225014 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.102557: 0 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.102557 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.574338: 1 (45.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.574338: 0 (3.0/1.0) +| happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.145896 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.205049 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.578848 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.159007: 1 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.159007 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.300578 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.51807 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.125719 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.723146: 0 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.723146: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.125719: 1 (32.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.51807 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.706257: 0 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.706257: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.300578 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.150309 +| | | | | | BH_LowPeakAmp <= 0.055533: 0 (7.0) +| | | | | | BH_LowPeakAmp > 0.055533 +| | | | | | | BH_HighPeakBPM <= 0.345865 +| | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.10393: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.10393 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.218328: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.218328: 1 (4.0) +| | | | | | | BH_HighPeakBPM > 0.345865: 1 (9.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.150309: 0 (14.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.578848: 1 (13.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.205049: 0 (7.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.145896 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.074965 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.161059: 0 (3.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.161059: 1 (10.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.074965 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.475018: 0 (159.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.475018 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.645573: 0 (15.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.645573 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.635416: 1 (11.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.635416: 0 (3.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #4 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.097564 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.464935 +| | angry-aggresive- = 0: 1 (17.0) +| | angry-aggresive- = 1 +| | | BHSUM1 <= 0.253083: 1 (16.0) +| | | BHSUM1 > 0.253083 +| | | | BH_HighPeakAmp <= 0.081703: 0 (4.0) +| | | | BH_HighPeakAmp > 0.081703 +| | | | | Std_Acc1298_Std_Mem40_Flux <= 0.855998 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.403208: 1 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.403208: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_Flux > 0.855998: 1 (12.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.464935: 0 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.097564 +| sad-lonely- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.099608: 1 (9.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.099608 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.342678 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.575221 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.247666: 0 (9.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.247666 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.259518: 1 (7.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.259518 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.44822: 0 (10.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.44822 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.530783 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.41911 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.521816 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.616456: 1 (17.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.616456: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.521816: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.41911 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.364261: 0 (19.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.364261 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.187511: 1 (4.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.187511: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.530783: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.575221: 0 (10.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.342678 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.126734: 1 (5.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.126734: 0 (50.0/1.0) +| | quiet-still- = 1: 0 (25.0) +| sad-lonely- = 1: 0 (84.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.063279: 0 (14.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.063279 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.161585 +| | | | BH_LowPeakAmp <= 0.020825: 0 (4.0/1.0) +| | | | BH_LowPeakAmp > 0.020825: 1 (28.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.161585 +| | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.206863: 0 (8.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.206863 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.241754 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373: 1 (21.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.241754 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.482491 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.398557: 0 (9.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.398557 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.228616: 1 (11.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.228616 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.313129: 1 (8.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.313129 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.203825: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.203825 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.280871: 0 (25.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.280871 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.225206: 1 (4.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.225206: 0 (4.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.482491: 1 (6.0) +| quiet-still- = 1 +| | BH_HighPeakAmp <= 0.009225: 0 (38.0) +| | BH_HighPeakAmp > 0.009225 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.888492: 1 (5.0/1.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.888492 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.109118: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.109118: 0 (28.0/1.0) +angry-aggresive- = 1: 0 (108.0/9.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.198707 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.110373: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.110373: 0 (36.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.198707 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.117666 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.471355 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.255692 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.198684: 1 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.198684: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.255692: 1 (28.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.471355 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.142942: 1 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.142942 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.281425: 0 (13.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.281425 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.354631 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.385619: 1 (17.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.385619: 0 (4.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.354631 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.224672 +| | | | | | | | | sad-lonely- = 0: 1 (4.0) +| | | | | | | | | sad-lonely- = 1 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.202422: 1 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.202422: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.224672: 0 (9.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.117666 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.247564: 1 (54.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.247564: 0 (3.0/1.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.209368: 0 (16.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.209368: 1 (5.0) +angry-aggresive- = 1: 0 (108.0/4.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.155448 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.290178: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.290178 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.201072 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.438764: 0 (10.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.438764: 1 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.201072 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456269 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.213124: 1 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.213124: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456269 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.273793: 0 (3.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.273793: 1 (56.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (20.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.155448 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.404258: 0 (204.0/4.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.404258 +| | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.279334: 0 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.279334: 1 (4.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.168629: 0 (13.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.168629 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.154403 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.527239: 1 (14.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.527239: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.154403 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.056409: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.056409 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.861764 +| | | | | | | BH_HighPeakBPM <= 0.421053 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.454401 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.322633: 0 (11.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.322633: 1 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.454401: 1 (4.0) +| | | | | | | BH_HighPeakBPM > 0.421053: 0 (11.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.861764: 1 (3.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.424079: 0 (48.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.424079 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.1771 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.055512 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.374805: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.374805: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.055512: 0 (31.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.1771 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.334673: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.334673: 0 (4.0) +| happy-pleased- = 1: 0 (92.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.097773 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.259955 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.339083 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.331962: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.331962: 1 (14.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.339083: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.259955: 1 (28.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.097773 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.402703 +| | | | BH_LowPeakBPM <= 0.666667: 1 (8.0/1.0) +| | | | BH_LowPeakBPM > 0.666667: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.402703: 0 (10.0) +| happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.107828 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.201383 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.564565 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.109711 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.241274 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.877259: 1 (29.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.877259: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.241274 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.156581: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.156581 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.248102: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.248102 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.236344: 1 (17.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.236344 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.28556: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.28556: 1 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.109711 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.308798 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.076522 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.118878 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.055344 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.928557: 0 (6.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.928557: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.055344: 1 (15.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.118878: 0 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.076522 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.484173: 0 (28.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.484173 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.215109: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.215109: 1 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.308798: 1 (6.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.564565: 1 (16.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.201383: 0 (9.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.107828 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.193978 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.810956 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517105 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.102774: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.102774: 0 (28.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517105: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.810956: 1 (4.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.193978: 0 (129.0/1.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #5 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.08273: 1 (20.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.08273 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.801454 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.143269 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.124914 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.501397 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.272135: 0 (9.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.272135: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.501397: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.124914: 1 (11.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.143269 +| | | BH_LowPeakAmp <= 0.253528 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.223147 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.465837: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.465837: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.223147 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.151348: 0 (109.0/2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.151348 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.338404 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884: 0 (50.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.208712: 1 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.208712 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.124132: 1 (3.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.124132: 0 (14.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.338404 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.32307: 1 (8.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.32307: 0 (12.0/1.0) +| | | BH_LowPeakAmp > 0.253528 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.563627: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.563627 +| | | | | BH_LowPeakAmp <= 0.364974: 1 (8.0) +| | | | | BH_LowPeakAmp > 0.364974 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.515249: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.515249 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.168898: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.168898: 1 (5.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.801454 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.444368 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.290582 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.097553: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.097553: 1 (27.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.290582 +| | | | BH_LowPeakBPM <= 0.206349: 1 (2.0) +| | | | BH_LowPeakBPM > 0.206349: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.444368: 0 (4.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.089075: 0 (28.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.089075 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.577284 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (13.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.11898 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.11714 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.131267: 0 (13.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.131267 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.149754: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.149754 +| | | | | | | | amazed-suprised- = 0 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.430975: 1 (4.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.430975: 0 (3.0) +| | | | | | | | amazed-suprised- = 1: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.11714: 0 (15.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.11898 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.298653 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.21756: 1 (20.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.21756 +| | | | | | | BHSUM2 <= 0.306271 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.241928 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.638862 +| | | | | | | | | | amazed-suprised- = 0 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.319947: 1 (15.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.319947 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.116069: 0 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.116069 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.251143: 1 (14.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.251143 +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.883962: 1 (8.0/1.0) +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.883962: 0 (5.0) +| | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.246381: 0 (4.0/1.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.246381: 1 (11.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.638862: 0 (6.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.241928: 0 (4.0) +| | | | | | | BHSUM2 > 0.306271 +| | | | | | | | BH_HighPeakBPM <= 0.43609: 0 (11.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.43609: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.298653: 0 (6.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.577284 +| | | amazed-suprised- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.409113: 0 (23.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.409113 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.364115: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.364115: 0 (7.0) +| | | amazed-suprised- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.632552: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.632552: 0 (7.0) +sad-lonely- = 1: 0 (89.0/1.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.108856: 0 (27.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.108856 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759194 +| | | | sad-lonely- = 0 +| | | | | happy-pleased- = 0: 1 (42.0/1.0) +| | | | | happy-pleased- = 1 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.138044: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.138044 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.057297: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.057297: 1 (38.0/1.0) +| | | | sad-lonely- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.618441 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.598488: 1 (40.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.598488 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.50683: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.50683: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.618441 +| | | | | | BH_LowPeakBPM <= 0.412698 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.509648: 1 (8.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.509648: 0 (2.0) +| | | | | | BH_LowPeakBPM > 0.412698: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759194 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.556523: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.556523: 0 (7.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.507085: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.507085 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.396508: 0 (18.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.396508 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.287377: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.287377: 0 (3.0) +angry-aggresive- = 1: 0 (105.0/5.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456699 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.06538 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.579157: 0 (8.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.579157: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.06538: 0 (200.0/4.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456699 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.188528 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.170668 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.316412 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.242886: 0 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.242886: 1 (8.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.316412: 1 (59.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.170668 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.442264: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.442264: 1 (5.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.188528: 0 (6.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.29056: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.29056: 0 (13.0) +| amazed-suprised- = 1: 0 (15.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.09428 +| amazed-suprised- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.299474 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.105484 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.63709: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.63709: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.105484 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.35429 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.313295 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.110575: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.110575: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.313295: 1 (14.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.35429: 1 (35.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.299474: 0 (7.0) +| amazed-suprised- = 1: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.09428 +| amazed-suprised- = 0 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.287644 +| | | BHSUM3 <= 0.038518: 1 (5.0) +| | | BHSUM3 > 0.038518 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.117587: 0 (23.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.117587 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.260118 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.364819: 0 (16.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.364819 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.321036: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.321036: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.260118 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.41463: 1 (7.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.41463 +| | | | | | | BH_LowPeakAmp <= 0.211012 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.889908 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.444256 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.356388 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.47009: 0 (6.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.47009: 1 (6.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.356388: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.444256: 0 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.889908: 1 (3.0) +| | | | | | | BH_LowPeakAmp > 0.211012: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.287644: 0 (59.0/3.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.853089: 0 (75.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.853089 +| | | BH_HighPeakBPM <= 0.225564: 1 (2.0) +| | | BH_HighPeakBPM > 0.225564 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.260284: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.260284: 0 (13.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| happy-pleased- = 0 +| | quiet-still- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.519831 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.374225: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.374225: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.519831 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.062767 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.164401: 1 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.164401: 0 (7.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.062767 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.099628: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.099628: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679: 1 (65.0/1.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0: 1 (5.0) +| | | | BH_HighPeakAmp > 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.139571: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.139571: 0 (9.0) +| | quiet-still- = 1: 0 (11.0/1.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.075879: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.075879 +| | | BH_HighPeakBPM <= 0.548872: 0 (28.0) +| | | BH_HighPeakBPM > 0.548872 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.332561: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.332561: 1 (2.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.214373: 0 (130.0/3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.214373 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.334371: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.334371 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.377979: 1 (14.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.377979: 0 (2.0) +| | | sad-lonely- = 1: 0 (4.0) +| | happy-pleased- = 1: 0 (19.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #6 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_3 <= 0.331146 +| | Std_Acc1298_Std_Mem40_Flux <= 0.838488 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.442264: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.442264: 1 (2.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.838488: 1 (47.0/4.0) +| Std_Acc1298_Std_Mem40_MFCC_3 > 0.331146: 0 (6.0/1.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| quiet-still- = 0 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.358638 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.507085 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.311852 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.531636: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.531636: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.311852: 0 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.507085 +| | | | | BH_LowPeakBPM <= 0.174603: 1 (10.0) +| | | | | BH_LowPeakBPM > 0.174603 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.149084: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.149084 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.581551 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.187313: 1 (16.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.187313 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.32451: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.32451 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.347093 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.127159: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.127159: 1 (10.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.347093: 0 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.581551: 0 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.358638 +| | | | happy-pleased- = 0 +| | | | | BHSUM1 <= 0.437716 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.170317: 0 (18.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.170317 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.174982 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.225961: 1 (7.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.225961: 0 (6.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.174982: 0 (18.0/1.0) +| | | | | BHSUM1 > 0.437716: 1 (3.0) +| | | | happy-pleased- = 1 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.497501: 0 (29.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.497501: 1 (3.0/1.0) +| | sad-lonely- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.17495: 0 (25.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.17495 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.742495: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.742495: 1 (2.0) +| quiet-still- = 1: 0 (82.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Centroid <= 0.217179 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.237478 +| | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.178375: 0 (10.0) +| | Std_Acc1298_Std_Mem40_MFCC_8 > 0.178375 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.566838: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.566838: 1 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.237478 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.413518: 0 (74.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.413518 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.18257: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.18257: 0 (7.0) +Mean_Acc1298_Mean_Mem40_Centroid > 0.217179 +| Std_Acc1298_Mean_Mem40_Centroid <= 0.24027 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.083236 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.833827: 1 (3.0/1.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.833827: 0 (24.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.083236 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.596014 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.071746 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.160549 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.317405: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.317405: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.160549: 0 (18.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.071746 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.140793: 1 (23.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.140793 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.381411: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.381411 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.370082 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.713114 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.273335: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.273335 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.120601: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.120601 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.459381 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.372502: 0 (11.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.372502: 1 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.459381 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.59919 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.51829 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.10539 +| | | | | | | | | | | | | | | BH_LowPeakAmp <= 0.048491: 0 (4.0) +| | | | | | | | | | | | | | | BH_LowPeakAmp > 0.048491: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.10539 +| | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.405808: 1 (25.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.405808: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.51829: 0 (3.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.59919: 0 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.713114 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.245565 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.090638: 1 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.090638: 0 (19.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.245565: 1 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.370082: 1 (8.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.596014: 0 (10.0) +| Std_Acc1298_Mean_Mem40_Centroid > 0.24027 +| | Std_Acc1298_Std_Mem40_Rolloff <= 0.442759: 0 (26.0) +| | Std_Acc1298_Std_Mem40_Rolloff > 0.442759 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.548975: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.548975: 0 (4.0) + +Number of Leaves : 31 + +Size of the tree : 61 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.135924 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.361245: 0 (82.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.361245 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.658041: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.658041: 0 (3.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.203881: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.203881: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.135924 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.754244 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.44121 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.578696 +| | | | | happy-pleased- = 0 +| | | | | | sad-lonely- = 0 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.643104: 1 (30.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.643104: 0 (4.0) +| | | | | | sad-lonely- = 1 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.613326 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.234681: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.234681: 1 (34.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.613326: 0 (5.0/1.0) +| | | | | happy-pleased- = 1: 1 (38.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.578696 +| | | | | happy-pleased- = 0 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.283276: 1 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.283276 +| | | | | | | BH_HighPeakBPM <= 0.135338: 1 (5.0) +| | | | | | | BH_HighPeakBPM > 0.135338 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.554147 +| | | | | | | | | BH_HighPeakAmp <= 0.101419: 0 (21.0) +| | | | | | | | | BH_HighPeakAmp > 0.101419: 1 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.554147 +| | | | | | | | | BH_LowPeakBPM <= 0.269841: 0 (2.0) +| | | | | | | | | BH_LowPeakBPM > 0.269841: 1 (7.0) +| | | | | happy-pleased- = 1: 1 (7.0/1.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.44121 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.121111: 1 (3.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.121111: 0 (9.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.754244 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.261113: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.261113: 0 (16.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.468468: 0 (29.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.468468 +| | | | BH_HighPeakBPM <= 0.661654: 1 (5.0/1.0) +| | | | BH_HighPeakBPM > 0.661654: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (3.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456699 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.232299 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.179383: 0 (145.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.179383 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.38666 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.495546 +| | | | | BH_LowPeakAmp <= 0.013338: 1 (2.0) +| | | | | BH_LowPeakAmp > 0.013338: 0 (16.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.495546: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.38666: 0 (34.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.232299 +| | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.471217: 0 (8.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.471217: 1 (5.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456699 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.194843 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.125536: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.125536: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.194843 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.337567 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.104307: 1 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.104307 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.576703: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.576703: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.337567: 1 (55.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (6.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.290079: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.290079: 0 (25.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.107463: 0 (58.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.107463 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.197164: 0 (23.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.197164 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.286452 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.28407 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.551842: 0 (14.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.551842: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.28407 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.319292 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.388463 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.137175: 0 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.137175 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.250238: 1 (17.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.250238 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.232241: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.232241: 0 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.388463 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.235999 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.385199 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.272796: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.272796: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.385199: 0 (10.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.235999: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.319292: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.286452: 0 (11.0) +| happy-pleased- = 1: 0 (88.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.239495: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.239495 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.25819 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178009: 0 (6.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178009 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.287554 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.112286: 0 (3.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.112286: 1 (45.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.287554 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.172948 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.423569: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.423569: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.172948: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.25819: 0 (4.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (41.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.139901: 1 (19.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.139901 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.310687 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.457346: 0 (9.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.457346: 1 (8.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.310687 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.55065: 1 (18.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.55065 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.429812: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.429812: 0 (4.0/1.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.055209: 1 (5.0) +| | | | BH_HighPeakAmp > 0.055209: 0 (9.0/1.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.156386 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.259036 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.42218: 0 (15.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.42218: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.259036: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.156386: 0 (21.0) +| quiet-still- = 1: 0 (27.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.086845 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.195444: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.195444: 0 (5.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.086845: 0 (133.0/1.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #7 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.094863 +| Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.514836 +| | BH_LowPeakBPM <= 0.253968 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.154043: 1 (18.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.154043 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.482342 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.125369: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.125369: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.482342: 1 (4.0) +| | BH_LowPeakBPM > 0.253968: 1 (16.0) +| Mean_Acc1298_Std_Mem40_MFCC_3 > 0.514836: 0 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.094863 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.191413 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.237606: 1 (9.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.237606 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.2006: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.2006: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.191413 +| | quiet-still- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.431023 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.233579 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.166254: 1 (8.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.166254 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.054465: 1 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.054465 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.406523: 0 (13.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.406523: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.233579 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.250969 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.300298 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.559501: 0 (13.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.559501: 1 (7.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.300298: 0 (40.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.250969: 1 (5.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.431023 +| | | | | BH_LowPeakBPM <= 0.666667: 0 (40.0) +| | | | | BH_LowPeakBPM > 0.666667 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.547944: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.547944: 1 (2.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.275919 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.277834: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.277834: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.275919: 0 (26.0) +| | quiet-still- = 1: 0 (87.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.264058 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.064797: 0 (7.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.064797 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.41997 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.119803 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.108793: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.108793: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.119803: 1 (48.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.41997 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.170699: 0 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.170699 +| | | | | | | relaxing-clam- = 0: 1 (12.0) +| | | | | | | relaxing-clam- = 1 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.535559 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.454261: 1 (10.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.454261 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.145468: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.145468: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.535559: 0 (8.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.264058: 0 (7.0) +| | quiet-still- = 1 +| | | BH_HighPeakAmp <= 0.036615 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.58036: 0 (17.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.58036: 1 (3.0/1.0) +| | | BH_HighPeakAmp > 0.036615: 1 (3.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.204522: 0 (43.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.204522 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.153845 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.474018 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.196431: 1 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.196431: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.474018: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.153845: 0 (36.0/1.0) +sad-lonely- = 1: 0 (96.0/1.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.113968 +| | quiet-still- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.220104: 0 (41.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.220104 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.401717 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.290975: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.290975: 1 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.401717: 0 (6.0) +| | quiet-still- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.642849: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.642849: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_8 > 0.113968 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.248512: 1 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.248512 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.148269: 0 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.148269: 1 (3.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.333808: 1 (56.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.333808 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.109627 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.619939: 0 (7.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.619939: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.109627: 1 (23.0/2.0) +| | | | sad-lonely- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.565903 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.285696 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.228395: 1 (7.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.228395 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.060015: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.060015: 0 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.285696 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.106587 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.19798: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.19798: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.106587: 1 (27.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.565903 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.46443: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.46443: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (11.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.303347: 0 (84.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.303347 +| | BH_LowPeakBPM <= 0.460317: 1 (3.0) +| | BH_LowPeakBPM > 0.460317: 0 (2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.462262 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.186139: 0 (142.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.186139 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.618743 +| | | BH_HighPeakAmp <= 0.013748 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.367839 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.212808: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.212808: 0 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.367839: 0 (11.0) +| | | BH_HighPeakAmp > 0.013748: 0 (39.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.618743 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.440402: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.440402: 0 (5.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.462262 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.105238 +| | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.0958: 0 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_12 > 0.0958 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.244651 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.249606: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.249606 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.057261: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.057261: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.244651: 1 (54.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.105238 +| | BH_HighPeakAmp <= 0.046374 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.359844 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.598178: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.598178: 1 (4.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.359844: 1 (9.0) +| | BH_HighPeakAmp > 0.046374: 0 (23.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.238689: 0 (100.0/2.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.238689 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.379256 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.098726: 0 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.098726 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.196876: 0 (7.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.196876 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.417005 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.34201 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.100417: 1 (6.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.100417 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.495376: 0 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.495376: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.34201: 1 (9.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.417005 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.259823: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.259823: 0 (9.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.379256 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.290662: 0 (27.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.290662 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.171606: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.171606 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.257999: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.257999 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.445251: 0 (13.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.445251 +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.325691: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.325691 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.428659: 0 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.428659 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.312904: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.312904: 0 (4.0) +quiet-still- = 1 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.101394 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.317017 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.526789: 0 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.526789: 1 (5.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.317017 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.26808 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.598701: 0 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.598701: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.26808: 1 (42.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.101394 +| | BH_LowPeakAmp <= 0.008701: 1 (4.0) +| | BH_LowPeakAmp > 0.008701 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.325996: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.325996: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206: 0 (14.0/1.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.150683 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.313546 +| | | | BH_HighPeakBPM <= 0.225564 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.125536 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.319486: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.319486 +| | | | | | | amazed-suprised- = 0 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.382453: 1 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.382453: 0 (2.0) +| | | | | | | amazed-suprised- = 1 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.086182 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.509615: 0 (3.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.509615: 1 (8.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.086182: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.125536: 0 (9.0) +| | | | BH_HighPeakBPM > 0.225564 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.493522 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.261737 +| | | | | | | BH_HighPeakBPM <= 0.481203 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.049559: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.049559 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.314361 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.189599: 0 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.189599: 1 (14.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.314361: 0 (3.0) +| | | | | | | BH_HighPeakBPM > 0.481203: 1 (11.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.261737: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.493522: 1 (18.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.313546: 1 (32.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.150683 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.057858: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.057858 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.32307: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.32307: 1 (2.0) +| quiet-still- = 1: 0 (25.0/1.0) +relaxing-clam- = 1: 0 (145.0/3.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #8 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.135337 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.219217: 1 (28.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.219217 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.147377: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.147377 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.171399 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.111062: 0 (3.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.111062: 1 (16.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.171399: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.135337 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.047015: 1 (11.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.047015 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.498023: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.498023 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.652548 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.341852: 1 (13.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.341852 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.343797 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.162357: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.162357: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.343797: 1 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.652548 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.145109: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.145109: 0 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.241928 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.229063 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.389898 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.518466: 0 (12.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.518466 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.545106: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.545106: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.389898: 1 (7.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.229063 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.551655: 0 (83.0/3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.551655 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.194327: 1 (5.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.194327: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.241928: 1 (7.0/1.0) +quiet-still- = 1: 0 (85.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.268757 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.350158 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.075313: 0 (39.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.075313 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517036 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.28369 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.154456 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.181279 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.399695 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.224028 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.043546: 0 (8.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.043546 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.106344: 1 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.106344 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.863181 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.534735: 1 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.534735: 0 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.863181: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.224028: 0 (14.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.399695 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.238507 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.156911: 1 (5.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.156911: 0 (7.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.238507: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.181279: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.154456 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.585149: 0 (32.0/3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.585149: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.28369: 0 (18.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517036: 0 (26.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.350158 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.573692: 1 (12.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.573692: 0 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.268757 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.172147 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.07531: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.07531 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.584793: 1 (28.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.584793: 0 (4.0/1.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.172147: 0 (6.0) +quiet-still- = 1 +| Std_Acc1298_Mean_Mem40_Rolloff <= 0.204353: 0 (69.0/1.0) +| Std_Acc1298_Mean_Mem40_Rolloff > 0.204353 +| | Std_Acc1298_Std_Mem40_Flux <= 0.889363: 1 (4.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.889363: 0 (12.0/1.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.127424 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.598284 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.27769: 0 (13.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.27769: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.598284: 0 (89.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.127424 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.094156 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.216603: 0 (11.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.216603: 1 (4.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.094156 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.191708 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.705803 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.511176 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.24294: 0 (9.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.24294: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.511176 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.598364 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.234681: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.234681: 1 (16.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.598364: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.705803: 0 (7.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.191708 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.8548 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.579137 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.317361: 1 (60.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.317361 +| | | | | | | BH_HighPeakAmp <= 0.094994: 1 (19.0/1.0) +| | | | | | | BH_HighPeakAmp > 0.094994: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.579137 +| | | | | | BHSUM3 <= 0.214377 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.593943: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.593943 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.178341 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.407837: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.407837: 0 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.178341: 1 (8.0) +| | | | | | BHSUM3 > 0.214377: 1 (11.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.8548 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.516608: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.516608: 1 (2.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.574277: 0 (44.0/3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.574277: 1 (3.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.137331 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.169777 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.174061: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.174061 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.20488 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.411817: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.411817: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.20488 +| | | | BH_HighPeakAmp <= 0.070289: 1 (65.0/1.0) +| | | | BH_HighPeakAmp > 0.070289 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.18821: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.18821: 1 (6.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.169777: 0 (13.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.137331 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.60511 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.482101: 0 (158.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.482101 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.618649 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.638402: 0 (37.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.638402 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.539398: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.539398: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.618649 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.533237: 1 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.533237: 0 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.60511 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.184077 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.688956: 1 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.688956: 0 (2.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.184077: 0 (5.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.353094 +| | | | BH_HighPeakAmp <= 0.278095 +| | | | | amazed-suprised- = 0 +| | | | | | relaxing-clam- = 0: 1 (5.0) +| | | | | | relaxing-clam- = 1 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.278571 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.204245: 1 (4.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.204245: 0 (13.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.278571: 1 (10.0/1.0) +| | | | | amazed-suprised- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.310363: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.310363: 0 (7.0) +| | | | BH_HighPeakAmp > 0.278095: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.353094: 0 (16.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.792425: 0 (40.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.792425 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.104339: 0 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.104339: 1 (4.0) +| | | | amazed-suprised- = 1: 0 (47.0/1.0) +| | | relaxing-clam- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.277746: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.277746: 0 (2.0) +| happy-pleased- = 1: 0 (76.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.361247 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.371796 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.154231 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.118802: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.118802 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.479597: 1 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.479597 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.462889: 0 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.462889: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.154231: 1 (43.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.371796 +| | | | BHSUM2 <= 0.114256 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.186685: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.186685: 0 (2.0) +| | | | BHSUM2 > 0.114256: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.361247: 0 (5.0) +| happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.462671 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.170628 +| | | | | BH_HighPeakAmp <= 0.037601: 1 (15.0) +| | | | | BH_HighPeakAmp > 0.037601 +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.749151 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.41664: 1 (11.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.41664 +| | | | | | | | | BH_LowPeakBPM <= 0.428571 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.431253 +| | | | | | | | | | | amazed-suprised- = 0: 0 (6.0) +| | | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.426109 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.231479: 0 (11.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.231479: 1 (2.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.426109: 1 (6.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.431253: 1 (8.0/1.0) +| | | | | | | | | BH_LowPeakBPM > 0.428571: 1 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.749151: 1 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.170628: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.462671: 1 (38.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.359805 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.390661 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.709807: 0 (31.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.709807 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.461949: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.461949: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.390661: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.359805: 1 (3.0) +| quiet-still- = 1: 0 (30.0/1.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.575966: 0 (125.0/1.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.575966 +| | BH_HighPeakAmp <= 0.002603: 1 (3.0) +| | BH_HighPeakAmp > 0.002603: 0 (4.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #9 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.118751 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.299209 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.308535: 1 (37.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.308535: 0 (3.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.299209: 0 (4.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.118751 +| | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.379937 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.49857: 0 (19.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.49857 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.286402 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.166442: 0 (7.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.166442 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.26017: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.26017 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.298234: 1 (16.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.298234 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.066807: 0 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.066807 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.441332: 1 (19.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.441332 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.468607 +| | | | | | | | | | | BHSUM1 <= 0.079841: 0 (2.0) +| | | | | | | | | | | BHSUM1 > 0.079841: 1 (9.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.468607: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.286402 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.482342 +| | | | | | BH_LowPeakBPM <= 0.206349 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.362047: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.362047: 0 (3.0) +| | | | | | BH_LowPeakBPM > 0.206349: 0 (15.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.482342: 1 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.379937 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.442123 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.336197 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.546537 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.670019 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.825516: 0 (34.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.825516: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.670019: 1 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.546537: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.336197: 0 (43.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.442123 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.271726: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.271726 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.549626: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.549626: 1 (2.0) +quiet-still- = 1: 0 (79.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.490811 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.439641 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.232622: 0 (8.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.232622 +| | | | | BHSUM3 <= 0.382994 +| | | | | | BH_HighPeakBPM <= 0.616541 +| | | | | | | BHSUM3 <= 0.347379 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.062014: 0 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.062014 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.173603: 0 (3.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.173603 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.655782 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.593: 1 (26.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.593: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.655782: 0 (2.0) +| | | | | | | BHSUM3 > 0.347379: 0 (5.0) +| | | | | | BH_HighPeakBPM > 0.616541: 1 (11.0) +| | | | | BHSUM3 > 0.382994: 1 (17.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.439641 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.482519 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.239965: 0 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.239965 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.40009 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.452519 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.576557 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.305575: 1 (4.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.305575: 0 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.576557: 1 (9.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.452519: 1 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.40009: 0 (11.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.482519: 0 (9.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.490811: 0 (10.0) +| quiet-still- = 1 +| | BH_LowPeakBPM <= 0.269841 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.256505: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.256505: 0 (23.0/1.0) +| | BH_LowPeakBPM > 0.269841: 0 (52.0) +angry-aggresive- = 1 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.103487 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.502735: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.502735: 0 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.103487: 0 (45.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.361922 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.133208: 0 (11.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.133208: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.361922: 0 (39.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.108856: 0 (24.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.108856 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | | amazed-suprised- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.438829 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.488136 +| | | | | | quiet-still- = 0 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.123154 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.368025: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.368025: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.123154 +| | | | | | | | BHSUM3 <= 0.711497: 1 (35.0) +| | | | | | | | BHSUM3 > 0.711497: 0 (2.0) +| | | | | | quiet-still- = 1 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.202023: 1 (15.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.202023 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.429454: 1 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.429454: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.488136: 1 (44.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.438829 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.270821 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.174984: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.174984: 1 (18.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.270821 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.261168: 1 (7.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.261168 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.507556: 0 (13.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.507556 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.559384: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.559384: 0 (3.0) +| | | amazed-suprised- = 1 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.079214 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.326632 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.480346: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.480346: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.326632: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.079214: 0 (11.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (18.0) +angry-aggresive- = 1 +| BHSUM2 <= 0.037884 +| | BHSUM2 <= 0.02623: 0 (15.0) +| | BHSUM2 > 0.02623: 1 (5.0/1.0) +| BHSUM2 > 0.037884: 0 (83.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.592975: 0 (17.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.592975 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.115174: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.115174: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.215071 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.28003 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.283812: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.283812: 0 (12.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.28003: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.215071 +| | | | BH_HighPeakAmp <= 0.051696: 1 (54.0/1.0) +| | | | BH_HighPeakAmp > 0.051696 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.347662: 0 (6.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.347662: 1 (6.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (5.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.425244 +| | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.186395: 0 (151.0) +| | Std_Acc1298_Std_Mem40_MFCC_12 > 0.186395 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.396276 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.381593: 0 (19.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.381593: 1 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.396276: 0 (33.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.425244 +| | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.268243: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.268243: 1 (6.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.346004 +| | | | relaxing-clam- = 0 +| | | | | BH_HighPeakAmp <= 0.094994: 0 (5.0/1.0) +| | | | | BH_HighPeakAmp > 0.094994: 1 (11.0) +| | | | relaxing-clam- = 1 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.397431: 1 (6.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.397431 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.376188: 1 (8.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.376188: 0 (22.0/2.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.346004: 0 (18.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.49338: 0 (66.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.49338 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.343127: 0 (20.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.343127 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.099529: 0 (5.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.099529: 1 (4.0) +| happy-pleased- = 1: 0 (84.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.404122 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.106099: 0 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.106099 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.43015: 1 (36.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.43015 +| | | | | relaxing-clam- = 0: 1 (8.0) +| | | | | relaxing-clam- = 1 +| | | | | | BH_HighPeakAmp <= 0.033895 +| | | | | | | BHSUM1 <= 0.167735 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.269296: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.269296: 1 (5.0) +| | | | | | | BHSUM1 > 0.167735: 0 (8.0) +| | | | | | BH_HighPeakAmp > 0.033895: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.404122: 0 (6.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.162354: 1 (15.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.162354 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.597411 +| | | | BH_HighPeakBPM <= 0.481203 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.069089 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.175946 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.273771: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.273771: 1 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.175946: 1 (13.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.069089 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.223241 +| | | | | | | BH_HighPeakAmp <= 0.002603: 1 (8.0) +| | | | | | | BH_HighPeakAmp > 0.002603 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.542653 +| | | | | | | | | BH_HighPeakBPM <= 0.06015: 1 (4.0) +| | | | | | | | | BH_HighPeakBPM > 0.06015 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.203709: 1 (4.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.203709 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.27303 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.690229 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.891965: 0 (13.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.891965: 1 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.690229: 1 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.27303: 0 (14.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.542653: 1 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.223241: 0 (9.0) +| | | | BH_HighPeakBPM > 0.481203 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.180599: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.180599: 1 (23.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.597411: 0 (8.0) +| quiet-still- = 1: 0 (7.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.387806 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.553061 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.103089: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.103089 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.561419: 0 (37.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.561419: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.553061 +| | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.72095: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.72095: 0 (5.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.387806: 0 (127.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.meta.EnsembleML: Model #10 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.097564 +| Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.429 +| | Std_Acc1298_Std_Mem40_Flux <= 0.837355 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.067492: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.067492: 0 (5.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.837355 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.140737: 1 (37.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.140737 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.780447: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.780447: 1 (2.0) +| Mean_Acc1298_Std_Mem40_MFCC_5 > 0.429: 0 (4.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.097564 +| Std_Acc1298_Std_Mem40_MFCC_2 <= 0.215071 +| | BH_LowPeakAmp <= 0.018492: 0 (7.0) +| | BH_LowPeakAmp > 0.018492 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.256011 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.376177 +| | | | | BH_LowPeakBPM <= 0.571429 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.240433 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.400809: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.400809 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.088702: 1 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.088702: 0 (8.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.240433: 1 (5.0) +| | | | | BH_LowPeakBPM > 0.571429: 0 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.376177: 1 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.256011: 1 (8.0) +| Std_Acc1298_Std_Mem40_MFCC_2 > 0.215071 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.375934 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.196815 +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.155386: 0 (3.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.155386: 1 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.196815 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.463825 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.266415 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.204649: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.204649: 0 (14.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.266415 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.430784 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.145192: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.145192: 1 (12.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.430784: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.463825 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.513445: 0 (32.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.513445 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.643153 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.285419: 0 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.285419 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.378741 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.16116: 1 (5.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.16116: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.378741: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.643153: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.375934 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.329743: 0 (103.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.329743 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.337151: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.337151: 0 (19.0/1.0) + +Number of Leaves : 30 + +Size of the tree : 59 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.25266 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557535 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.589772 +| | | | | | BH_LowPeakAmp <= 0.015188: 0 (5.0/1.0) +| | | | | | BH_LowPeakAmp > 0.015188: 1 (64.0/4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.589772 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.558827: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.558827: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557535 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.178657: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.178657 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.226384 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.306835: 0 (9.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.306835: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.226384: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.25266: 0 (7.0) +| | quiet-still- = 1 +| | | BHSUM2 <= 0.211311: 0 (21.0/1.0) +| | | BHSUM2 > 0.211311: 1 (2.0) +| angry-aggresive- = 1: 0 (102.0/5.0) +sad-lonely- = 1: 0 (92.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.11058 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.215499 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.101402 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.140737: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.140737: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.101402: 0 (97.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.215499 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.590309: 1 (7.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.590309 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.24464 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.609218: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.609218: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.24464: 0 (9.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.11058 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.529129 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.139571 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.358969: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.358969: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.139571 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.23914 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.282799: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.282799: 0 (7.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.23914 +| | | | | | BH_HighPeakBPM <= 0.503759 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.135248: 1 (50.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.135248 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.146168: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.146168 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.128254 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.40124: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.40124: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.128254: 1 (22.0) +| | | | | | BH_HighPeakBPM > 0.503759 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.114552: 0 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.114552 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.588451 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.292132: 1 (24.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.292132 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.121111: 1 (9.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.121111: 0 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.588451: 0 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.529129 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.145532: 0 (8.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.145532 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.253084: 0 (5.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.253084: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (10.0/1.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Std_Acc1298_Std_Mem40_Centroid <= 0.338536: 0 (19.0) +| | | Std_Acc1298_Std_Mem40_Centroid > 0.338536 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.459691: 0 (10.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.459691: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.127809 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.252514 +| | | relaxing-clam- = 0: 0 (9.0) +| | | relaxing-clam- = 1 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.280085: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.280085: 0 (10.0) +| | | | sad-lonely- = 1: 1 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.252514: 1 (59.0/3.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (12.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.127809 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.416559 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.226384: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.226384: 1 (7.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.416559 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.240766: 0 (172.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.240766 +| | | amazed-suprised- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.429049 +| | | | | sad-lonely- = 0: 0 (18.0) +| | | | | sad-lonely- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.320346: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.320346: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.429049 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.148866: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.148866: 1 (5.0) +| | | amazed-suprised- = 1: 0 (13.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.35508 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.266181 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.190297: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.190297: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.266181: 1 (7.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.35508 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.521996: 1 (39.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.521996: 0 (3.0/1.0) +| amazed-suprised- = 1: 0 (8.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Mean_Acc1298_Std_Mem40_Centroid <= 0.377741 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.155659: 0 (20.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.155659 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.235483: 0 (15.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.235483 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.271074 +| | | | | | BH_LowPeakBPM <= 0.174603 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.112275: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.112275: 0 (11.0) +| | | | | | BH_LowPeakBPM > 0.174603 +| | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.299444 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.239514: 1 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.239514: 0 (10.0) +| | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.299444 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.585149 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.378757 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.286013: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.286013: 1 (19.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.378757 +| | | | | | | | | | relaxing-clam- = 0: 0 (3.0) +| | | | | | | | | | relaxing-clam- = 1 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.44892: 1 (9.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.44892: 0 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.585149: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.271074 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.749772 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.257166 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.314846: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.314846: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.257166: 0 (27.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.749772: 1 (3.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.272715 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.376112: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.376112: 1 (6.0/2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.272715 +| | | | BH_HighPeakBPM <= 0.090226 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.1776: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.1776: 0 (3.0) +| | | | BH_HighPeakBPM > 0.090226: 0 (46.0) +| Mean_Acc1298_Std_Mem40_Centroid > 0.377741: 0 (63.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.170628 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.477525 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.181702: 1 (16.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.181702 +| | | | | sad-lonely- = 0 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.240766 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.040878: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.040878 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.355444 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.158008: 1 (9.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.158008 +| | | | | | | | | | amazed-suprised- = 0 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.412833: 1 (9.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.412833: 0 (3.0) +| | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.413587 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.241928: 0 (14.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.241928: 1 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.413587: 1 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.355444 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.175728: 1 (22.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.175728: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.240766: 0 (9.0/1.0) +| | | | | sad-lonely- = 1 +| | | | | | BH_HighPeakAmp <= 0.017457: 1 (4.0) +| | | | | | BH_HighPeakAmp > 0.017457: 0 (10.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.477525: 1 (41.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.170628: 0 (15.0/1.0) +| quiet-still- = 1: 0 (23.0/1.0) +relaxing-clam- = 1 +| BH_HighPeakBPM <= 0.721805: 0 (133.0/1.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.29244: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.29244: 0 (6.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.EnsembleML +Options [-S, 1, -I, 10, -P, 67, -W, meka.classifiers.multilabel.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/FilteredClassifier.ref b/bin/test/meka/classifiers/multilabel/meta/FilteredClassifier.ref new file mode 100644 index 00000000..6d61e4d0 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/FilteredClassifier.ref @@ -0,0 +1,108 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.FilteredClassifier +Options [-F, weka.filters.AllFilter , -doNotCheckForModifiedClassAttribute, -S, 1, -W, meka.classifiers.multilabel.BR, --, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +FilteredClassifier using meka.classifiers.multilabel.BR -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 on data filtered through weka.filters.AllFilter + +Filtered Header +@relation 'Music: -C -6-weka.filters.AllFilter' + +@attribute amazed-suprised- {0,1} +@attribute happy-pleased- {0,1} +@attribute relaxing-clam- {0,1} +@attribute quiet-still- {0,1} +@attribute sad-lonely- {0,1} +@attribute angry-aggresive- {0,1} +@attribute Mean_Acc1298_Mean_Mem40_Centroid numeric +@attribute Mean_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Mean_Mem40_Flux numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Mean_Acc1298_Std_Mem40_Centroid numeric +@attribute Mean_Acc1298_Std_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Std_Mem40_Flux numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Mean_Mem40_Centroid numeric +@attribute Std_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Std_Acc1298_Mean_Mem40_Flux numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Std_Mem40_Centroid numeric +@attribute Std_Acc1298_Std_Mem40_Rolloff numeric +@attribute Std_Acc1298_Std_Mem40_Flux numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute BH_LowPeakAmp numeric +@attribute BH_LowPeakBPM numeric +@attribute BH_HighPeakAmp numeric +@attribute BH_HighPeakBPM numeric +@attribute BHSUM1 numeric +@attribute BHSUM2 numeric +@attribute BHSUM3 numeric + +@data + + +Classifier Model + + +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/MBR.ref b/bin/test/meka/classifiers/multilabel/meta/MBR.ref new file mode 100644 index 00000000..21337fff --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/MBR.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.MBR +Options [-W, meka.classifiers.multilabel.BR, --, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/MultiSearch.ref b/bin/test/meka/classifiers/multilabel/meta/MultiSearch.ref new file mode 100644 index 00000000..e048b98b --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/MultiSearch.ref @@ -0,0 +1,44 @@ +== Model info + +Model +meka.classifiers.multilabel.meta.MultiSearch: +Classifier: meka.classifiers.multilabel.RAkEL -M 5 -k 3 -P 0 -N 0 -S 0 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 + +1. parameter: property: M, min: 5.0, max: 15.0, step: 5.0, base: 10.0, expr: I +2. parameter: property: K, min: 1.0, max: 3.0, step: 1.0, base: 10.0, expr: I +Evaluation: Accuracy +Coordinates: 5, 3 +Values: 5, 3 + +{[1, 2, 4][2, 3, 4][0, 3, 4][1, 3, 5][2, 4, 5]} + +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.MultiSearch +Options [-E, ACC, -search, weka.core.setupgenerator.MathParameter -property M -min 5.0 -max 15.0 -step 5.0 -base 10.0 -expression I, -search, weka.core.setupgenerator.MathParameter -property K -min 1.0 -max 3.0 -step 1.0 -base 10.0 -expression I, -algorithm, weka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1, -log-file, ., -S, 1, -W, meka.classifiers.multilabel.RAkEL, --, -M, 5, -k, 3, -P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +meka.classifiers.multilabel.meta.MultiSearch: +Classifier: meka.classifiers.multilabel.RAkEL -M 5 -k 3 -P 0 -N 0 -S 0 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 + +1. parameter: property: M, min: 5.0, max: 15.0, step: 5.0, base: 10.0, expr: I +2. parameter: property: K, min: 1.0, max: 3.0, step: 1.0, base: 10.0, expr: I +Evaluation: Accuracy +Coordinates: 5, 3 +Values: 5, 3 + +{[1, 2, 4][2, 3, 4][0, 3, 4][1, 3, 5][2, 4, 5]} + +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/RandomSubspaceML.ref b/bin/test/meka/classifiers/multilabel/meta/RandomSubspaceML.ref new file mode 100644 index 00000000..501f1dd6 --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/RandomSubspaceML.ref @@ -0,0 +1,3086 @@ +== Model info + +Model +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #1 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.257134 +| | sad-lonely- = 0: 1 (89.0/23.0) +| | sad-lonely- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.169612: 1 (6.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.169612: 0 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.257134 +| | sad-lonely- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.297185 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.307783 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.441161: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.441161: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.307783 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.053742 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.304484: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.304484: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.053742: 0 (29.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.297185: 1 (21.0/9.0) +| | sad-lonely- = 1: 0 (29.0) +relaxing-clam- = 1 +| sad-lonely- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.135905 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.166035: 1 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.166035: 0 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.135905: 0 (85.0/4.0) +| sad-lonely- = 1: 0 (45.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| relaxing-clam- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.217553 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.216161: 0 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.216161 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.031401: 0 (8.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.031401 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.382643 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.303548: 1 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.303548 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.107852 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.162367 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.089153: 0 (6.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.089153: 1 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.162367: 0 (6.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.107852 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.170239: 1 (11.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.170239 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.34085: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.34085: 1 (7.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.382643: 0 (5.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.217553 +| | | BHSUM2 <= 0.146156: 0 (29.0) +| | | BHSUM2 > 0.146156 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.514989 +| | | | | BHSUM1 <= 0.879063: 0 (44.0/7.0) +| | | | | BHSUM1 > 0.879063: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.514989: 1 (3.0) +| relaxing-clam- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.121981: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.121981 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.424107 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.086199 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.416937: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.416937: 0 (9.0/2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.086199: 1 (30.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.424107 +| | | | BH_LowPeakBPM <= 0.269841 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.330108 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.504374: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.504374: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.330108: 1 (10.0) +| | | | BH_LowPeakBPM > 0.269841 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081204: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081204 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.582518: 0 (18.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.582518: 1 (2.0) +sad-lonely- = 1: 0 (87.0/1.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.154243 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (96.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.100714: 0 (11.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.100714 +| | | BHSUM2 <= 0.137604: 1 (7.0) +| | | BHSUM2 > 0.137604 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.501427: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.501427: 1 (2.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.154243 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.074848: 0 (12.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.074848 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.212205: 0 (10.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.212205 +| | | sad-lonely- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.135462 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.338917 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.165513: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.165513: 0 (10.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.338917 +| | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.229069 +| | | | | | | BHSUM2 <= 0.281296: 1 (9.0) +| | | | | | | BHSUM2 > 0.281296: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.229069: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.135462 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.458026 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.127588: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.127588 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.522577 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.238487 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.465355: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.465355: 0 (8.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.238487 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.286362: 1 (17.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.286362 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.39556 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.335163: 1 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.335163: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.39556: 1 (8.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.522577: 1 (20.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.458026: 1 (23.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.155748: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.155748 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.476146 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.370894 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.287735 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.301435: 0 (6.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.301435: 1 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.287735: 1 (19.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.370894 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.372555: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.372555 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.46443: 0 (15.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.46443: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.476146: 1 (13.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111: 0 (209.0/7.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.114375 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.152158: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.152158 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.170699: 0 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.170699: 1 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.114375 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.426594: 1 (50.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.426594 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.404329: 0 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.404329: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (8.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.340121: 1 (4.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.340121: 0 (15.0) +| amazed-suprised- = 1: 0 (16.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.408121 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.076123 +| | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.477505 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.079576: 0 (10.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.079576: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.477505: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.076123 +| | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.156242: 0 (64.0) +| | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.156242 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.071373 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.124132: 0 (5.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.124132: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.071373 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.095671 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.106542: 0 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.106542: 1 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.095671 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.090939 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.179384: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.179384: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.090939: 0 (74.0/1.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.408121 +| Std_Acc1298_Std_Mem40_Centroid <= 0.349645 +| | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.312591 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.166916: 0 (23.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.166916 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.320174 +| | | | | BH_LowPeakBPM <= 0.349206: 0 (5.0) +| | | | | BH_LowPeakBPM > 0.349206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.293485: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.293485: 1 (5.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.320174: 1 (8.0) +| | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.312591: 0 (31.0/1.0) +| Std_Acc1298_Std_Mem40_Centroid > 0.349645 +| | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.140743: 0 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.140743 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.144753: 1 (19.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.144753 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.660666 +| | | | | BHSUM2 <= 0.104653 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.164737: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.164737 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.270821 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.259254: 1 (7.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.259254: 0 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.270821: 1 (13.0) +| | | | | BHSUM2 > 0.104653 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.173772: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.173772: 0 (9.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.660666: 1 (10.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.16999 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.382643 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.145258: 1 (21.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.145258 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.509882: 0 (6.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.509882 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.298469: 1 (24.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.298469 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.21393 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.136789: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.136789: 1 (6.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.21393: 0 (5.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.382643: 1 (37.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.2936 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.330108 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.435163: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.435163: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.330108: 0 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.2936: 1 (5.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.334304: 0 (37.0/3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.334304: 1 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.16999: 0 (27.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.094467 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.196681: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.196681: 0 (4.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.094467 +| | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.803721: 0 (123.0) +| | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.803721 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.334371: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.334371: 0 (5.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #2 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.097564 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.461745 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.158008 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.064477: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.064477: 0 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.158008: 1 (18.0) +| | angry-aggresive- = 1 +| | | BHSUM1 <= 0.274486: 1 (17.0) +| | | BHSUM1 > 0.274486 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.416987: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.416987 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.668436 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.518547: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.518547 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.635495: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.635495: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.668436: 1 (3.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.461745: 0 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.097564 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.196784 +| | BH_LowPeakBPM <= 0.126984: 1 (7.0) +| | BH_LowPeakBPM > 0.126984 +| | | BH_LowPeakAmp <= 0.023303: 0 (6.0) +| | | BH_LowPeakAmp > 0.023303 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.405481: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.405481 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.297307: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.297307 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.0625: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.0625 +| | | | | | | BH_LowPeakBPM <= 0.15873: 0 (2.0) +| | | | | | | BH_LowPeakBPM > 0.15873 +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.044569: 0 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.044569: 1 (11.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.196784 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.256505 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.269847: 1 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.269847 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.098726: 0 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.098726 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.167669: 1 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.167669 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.285297: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.285297: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.256505 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.137892: 0 (61.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.137892 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.404091 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.484685 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.359129 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.380062: 1 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.380062: 0 (10.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.359129: 1 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.484685: 0 (13.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.404091: 0 (46.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.74454: 0 (49.0/13.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.74454: 1 (4.0) + +Number of Leaves : 31 + +Size of the tree : 61 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.272351: 0 (26.0) +| Mean_Acc1298_Std_Mem40_MFCC_11 > 0.272351 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | amazed-suprised- = 0: 0 (32.0/1.0) +| | | amazed-suprised- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.382937: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.382937: 0 (2.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.568748 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.079027: 1 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.079027 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.237997 +| | | | | | BH_LowPeakBPM <= 0.079365: 0 (3.0) +| | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.561551: 1 (29.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.561551: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.237997 +| | | | | | BH_LowPeakBPM <= 0.15873: 1 (10.0/1.0) +| | | | | | BH_LowPeakBPM > 0.15873 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.177537 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.19189: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.19189: 0 (21.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.177537 +| | | | | | | | amazed-suprised- = 0 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.102677: 1 (7.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.102677 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.460695 +| | | | | | | | | | | BH_HighPeakAmp <= 0.006114: 0 (2.0) +| | | | | | | | | | | BH_HighPeakAmp > 0.006114: 1 (4.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.460695: 0 (4.0) +| | | | | | | | amazed-suprised- = 1: 0 (5.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.568748 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.133211: 0 (14.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.133211 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.471538 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.105025: 0 (9.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.105025 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.128254: 1 (8.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.128254 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.519058 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.436259: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.436259: 1 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.519058: 0 (6.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.471538: 0 (8.0) +angry-aggresive- = 1: 0 (108.0/6.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.098558 +| | | quiet-still- = 0: 0 (9.0/1.0) +| | | quiet-still- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.519058: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.519058: 0 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.098558 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.340758 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.289671 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.12668 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.517208: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.517208 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.4311: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.4311: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.12668: 1 (33.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.289671: 0 (5.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.340758: 1 (31.0) +| | | quiet-still- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.192321: 1 (14.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.192321 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.307971: 1 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.307971 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.552553 +| | | | | | | BHSUM1 <= 0.145665 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.566338 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.061709 +| | | | | | | | | | BH_HighPeakBPM <= 0.360902: 0 (3.0) +| | | | | | | | | | BH_HighPeakBPM > 0.360902: 1 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.061709: 0 (8.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.566338: 1 (6.0) +| | | | | | | BHSUM1 > 0.145665: 1 (12.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.552553: 0 (7.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | BH_HighPeakBPM <= 0.390977: 0 (34.0) +| | | BH_HighPeakBPM > 0.390977 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.038609: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.038609 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589: 0 (14.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 1 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (3.0) +angry-aggresive- = 1: 0 (108.0/5.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Std_Mem40_Centroid <= 0.133211 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | angry-aggresive- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.431023: 1 (39.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.431023 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.451239: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.451239 +| | | | | | BH_HighPeakBPM <= 0.045113: 0 (2.0) +| | | | | | BH_HighPeakBPM > 0.045113: 1 (21.0/1.0) +| | | angry-aggresive- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.0666: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.0666: 0 (5.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.264006: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.264006: 0 (10.0) +| amazed-suprised- = 1: 0 (20.0) +Mean_Acc1298_Std_Mem40_Centroid > 0.133211 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.186139: 0 (143.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.186139 +| | amazed-suprised- = 0 +| | | angry-aggresive- = 0 +| | | | happy-pleased- = 0 +| | | | | BH_LowPeakBPM <= 0.619048 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.386928: 0 (11.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.386928 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.468924: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.468924 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.221784: 0 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.221784 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.4311: 1 (8.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.4311: 0 (2.0) +| | | | | BH_LowPeakBPM > 0.619048: 1 (6.0) +| | | | happy-pleased- = 1 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.51151: 0 (20.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.51151: 1 (2.0) +| | | angry-aggresive- = 1: 0 (6.0) +| | amazed-suprised- = 1: 0 (18.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.367926 +| | | | BH_HighPeakAmp <= 0.127372 +| | | | | BH_LowPeakAmp <= 0.022076: 1 (8.0/2.0) +| | | | | BH_LowPeakAmp > 0.022076 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.538512: 0 (17.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.538512: 1 (3.0/1.0) +| | | | BH_HighPeakAmp > 0.127372 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.557581 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.088771: 0 (3.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.088771: 1 (17.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.557581: 0 (2.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.367926: 0 (15.0) +| | angry-aggresive- = 1 +| | | amazed-suprised- = 0 +| | | | BH_HighPeakAmp <= 0.004689 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.346004: 1 (8.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.346004: 0 (9.0/1.0) +| | | | BH_HighPeakAmp > 0.004689: 0 (34.0/1.0) +| | | amazed-suprised- = 1: 0 (49.0/1.0) +| happy-pleased- = 1: 0 (84.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.427294 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.155364 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.048061: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.048061: 1 (5.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.155364: 1 (39.0) +| | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.427294 +| | | relaxing-clam- = 0: 1 (11.0/2.0) +| | | relaxing-clam- = 1 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.102031: 0 (7.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.102031 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.405634: 1 (7.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.405634: 0 (4.0/1.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| BHSUM1 <= 0.398224 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.109711 +| | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.309233 +| | | | BH_HighPeakAmp <= 0.048217: 1 (12.0) +| | | | BH_HighPeakAmp > 0.048217 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.238015: 1 (13.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.238015: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.309233: 1 (25.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.109711 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.077236 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.65364: 1 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.65364 +| | | | | BH_LowPeakBPM <= 0.253968: 0 (4.0/1.0) +| | | | | BH_LowPeakBPM > 0.253968: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.077236 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.546594 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.144887 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.064477: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.064477: 0 (20.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.144887 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.140178: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.140178: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.546594: 1 (4.0) +| BHSUM1 > 0.398224 +| | BH_HighPeakBPM <= 0.300752 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.212575 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.481548 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.063031 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.169649 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.411095: 0 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.411095: 1 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.169649: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.063031: 0 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.481548: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.212575: 1 (5.0) +| | BH_HighPeakBPM > 0.300752: 0 (8.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.079358 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.193688: 0 (3.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.193688: 1 (7.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.079358 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.593: 0 (151.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.593 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.152706: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.152706: 0 (9.0/1.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #3 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.03727: 1 (16.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.03727 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.357714 +| | | sad-lonely- = 0 +| | | | BHSUM1 <= 0.385171 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.329756 +| | | | | | BH_LowPeakBPM <= 0.126984: 1 (7.0) +| | | | | | BH_LowPeakBPM > 0.126984 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.068758: 1 (6.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.068758 +| | | | | | | | BH_LowPeakBPM <= 0.650794 +| | | | | | | | | happy-pleased- = 0 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.156648 +| | | | | | | | | | | angry-aggresive- = 0: 1 (2.0) +| | | | | | | | | | | angry-aggresive- = 1 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.585869 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.231424: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.231424: 1 (6.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.585869: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.156648: 0 (5.0) +| | | | | | | | | happy-pleased- = 1 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.531222: 0 (11.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.531222 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.186452: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.186452: 1 (7.0/1.0) +| | | | | | | | BH_LowPeakBPM > 0.650794: 1 (8.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.329756 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.353994 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.341705 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.743537 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.352003: 0 (20.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.352003 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.238614: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.238614: 0 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.743537: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.341705: 1 (6.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.353994: 0 (18.0) +| | | | BHSUM1 > 0.385171 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.320215 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.514464 +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.160427: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.160427: 0 (6.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.514464: 1 (19.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.320215: 0 (3.0) +| | | sad-lonely- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.111039 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.216426: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.216426: 1 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.111039: 0 (16.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.357714 +| | | angry-aggresive- = 0: 0 (46.0/2.0) +| | | angry-aggresive- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.4505 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.340665: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.340665: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.4505: 0 (10.0) +quiet-still- = 1: 0 (82.0) + +Number of Leaves : 30 + +Size of the tree : 59 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.077769: 1 (2.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.077769: 0 (13.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.245557 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.268048: 1 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.268048 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.097653: 1 (12.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.097653 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.283501: 0 (8.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.283501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.53534 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.234656: 1 (13.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.234656 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.290084: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.290084 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44199: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44199 +| | | | | | | | | | | BH_HighPeakAmp <= 0.041753: 1 (5.0/1.0) +| | | | | | | | | | | BH_HighPeakAmp > 0.041753 +| | | | | | | | | | | | BH_LowPeakBPM <= 0.444444: 0 (7.0) +| | | | | | | | | | | | BH_LowPeakBPM > 0.444444: 1 (3.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.53534 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.478161: 0 (10.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.478161 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.290975: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.290975 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.779882 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.146782: 0 (4.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.146782 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.328692: 1 (9.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.328692 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.60225: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.60225: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.779882: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.245557: 1 (12.0) +| angry-aggresive- = 1: 0 (108.0/9.0) +quiet-still- = 1 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.105539: 0 (59.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.105539 +| | Std_Acc1298_Std_Mem40_Flux <= 0.88932: 1 (5.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.88932: 0 (18.0/1.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.17428 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.190731: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.190731: 0 (9.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.17428 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.060774 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.136849 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.498164: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.498164 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.187124: 1 (4.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.187124 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.201335 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.558435: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.558435: 0 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.201335: 0 (14.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.136849: 1 (12.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.060774 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.509655 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.556963 +| | | | | | BH_LowPeakBPM <= 0.571429 +| | | | | | | BH_LowPeakBPM <= 0.206349 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.532303 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.363323: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.363323: 1 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.532303: 0 (6.0) +| | | | | | | BH_LowPeakBPM > 0.206349: 1 (37.0/1.0) +| | | | | | BH_LowPeakBPM > 0.571429 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.451261: 0 (6.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.451261: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.556963: 1 (22.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.509655: 1 (36.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.127813 +| | | sad-lonely- = 0 +| | | | happy-pleased- = 0: 1 (2.0) +| | | | happy-pleased- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.130044: 0 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.130044 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.161862: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.161862: 1 (6.0) +| | | sad-lonely- = 1: 0 (2.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.127813: 0 (28.0) +angry-aggresive- = 1: 0 (109.0/3.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14619 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.181423 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.30183: 0 (15.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.30183: 1 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.181423 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.134165 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.089339: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.089339: 0 (8.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.134165 +| | | | BH_HighPeakAmp <= 0.073373: 1 (60.0/1.0) +| | | | BH_HighPeakAmp > 0.073373 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.437822: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.437822: 1 (5.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (20.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.14619 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.462799 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.509655: 0 (139.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.509655 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.512165: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.512165 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.590147: 0 (55.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.590147: 1 (3.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.462799 +| | BH_HighPeakAmp <= 0.054155: 1 (5.0) +| | BH_HighPeakAmp > 0.054155: 0 (6.0/1.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.104745: 0 (11.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.104745 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.595022 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.337054: 1 (43.0/17.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.337054: 0 (5.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.595022: 0 (6.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.496983: 0 (70.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.496983 +| | | | BH_HighPeakBPM <= 0.721805 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.099144: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.099144 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.498096: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.498096: 0 (23.0) +| | | | BH_HighPeakBPM > 0.721805: 1 (2.0) +| happy-pleased- = 1: 0 (82.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.456133 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.433469 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.152058 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.437297: 1 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.437297: 0 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.152058: 1 (14.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.433469 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.60065 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.372697: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.372697: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.60065: 0 (6.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.456133 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.433676: 1 (43.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.433676: 0 (3.0/1.0) +| happy-pleased- = 1: 0 (5.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.441969 +| | BH_HighPeakBPM <= 0.360902 +| | | BH_LowPeakBPM <= 0.174603: 1 (10.0/1.0) +| | | BH_LowPeakBPM > 0.174603 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.159007: 1 (10.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.159007 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.025176: 1 (6.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.025176: 0 (56.0/23.0) +| | BH_HighPeakBPM > 0.360902 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.464773 +| | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.556572: 1 (39.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.556572: 0 (3.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.464773: 0 (4.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.441969 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.085729: 1 (5.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.085729: 0 (17.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.5014: 0 (163.0/9.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.5014 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.408121 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.564352: 1 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.564352: 0 (4.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.408121: 0 (5.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #4 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.200385 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.437211: 0 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.437211 +| | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.123845 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.024483: 0 (3.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.024483: 1 (34.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_8 > 0.123845 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.516363 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.144264 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.525655: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.525655: 1 (3.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.144264: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.516363: 1 (5.0) +Std_Acc1298_Mean_Mem40_MFCC_4 > 0.200385 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.791627 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.278098 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.190182: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.190182 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.596007 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.15696: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.15696: 1 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.596007: 0 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.278098: 1 (9.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.151987: 0 (98.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.151987 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.559784: 0 (24.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.559784 +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.275503 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.412908: 1 (6.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.412908 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.609218: 0 (46.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.609218 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.113303: 1 (4.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.113303: 0 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.275503: 1 (5.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.791627 +| | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.474022 +| | | BHSUM1 <= 0.030252: 0 (2.0) +| | | BHSUM1 > 0.030252: 1 (21.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.474022 +| | | BHSUM1 <= 0.29754: 0 (11.0) +| | | BHSUM1 > 0.29754: 1 (3.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.192706: 0 (17.0) +| Mean_Acc1298_Std_Mem40_MFCC_6 > 0.192706 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.116971 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.196784 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.374805 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.198017: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.198017: 1 (11.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.374805 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.543468: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.543468: 0 (31.0/2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.196784: 0 (32.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.116971 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.444058 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.046197: 0 (9.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.046197 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.093103: 1 (11.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.093103 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.372589: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.372589 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.176669: 0 (6.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.176669 +| | | | | | | | amazed-suprised- = 0 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.190285: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.190285 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.410599 +| | | | | | | | | | | BH_HighPeakBPM <= 0.180451 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.141405: 0 (4.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.141405: 1 (4.0) +| | | | | | | | | | | BH_HighPeakBPM > 0.180451: 1 (19.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.410599 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.260816 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.118991: 0 (5.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.118991 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.733881 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.475809: 1 (13.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.475809 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.450396: 0 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.450396: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.733881: 0 (2.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.260816 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.558827: 0 (9.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.558827: 1 (3.0/1.0) +| | | | | | | | amazed-suprised- = 1 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.498985 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.459691 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.29244: 1 (4.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.29244: 0 (9.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.459691: 1 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.498985: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.444058: 0 (17.0/1.0) +sad-lonely- = 1: 0 (87.0/1.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.109627: 0 (9.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.109627 +| | | sad-lonely- = 0 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.248209 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.417219 +| | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.281055: 0 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.281055: 1 (9.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.417219: 1 (69.0/2.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.248209: 0 (5.0/1.0) +| | | sad-lonely- = 1 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.552553 +| | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.134037 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.471354: 1 (15.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.471354 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.244647: 0 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.244647 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.257484 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.336897: 1 (14.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.336897: 0 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.257484 +| | | | | | | | | BH_HighPeakBPM <= 0.135338: 1 (2.0) +| | | | | | | | | BH_HighPeakBPM > 0.135338 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.251697: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.251697: 0 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_Flux > 0.134037: 1 (15.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.552553: 0 (5.0) +| amazed-suprised- = 1: 0 (50.0/4.0) +angry-aggresive- = 1 +| sad-lonely- = 0: 0 (101.0/2.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.454799: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.454799: 0 (5.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.167548 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.166837 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.286527: 0 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.286527: 1 (74.0/3.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.166837 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.486623 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.103504: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.103504: 0 (19.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.486623: 1 (5.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.391242: 0 (15.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.391242: 1 (5.0/1.0) +| amazed-suprised- = 1: 0 (15.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.167548 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.600798: 0 (72.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.600798 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.425963 +| | | | BHSUM3 <= 0.133281 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.529511: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.529511: 1 (3.0) +| | | | BHSUM3 > 0.133281: 0 (24.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.425963: 1 (3.0) +| amazed-suprised- = 1: 0 (83.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.345444 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.132498: 1 (5.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.132498: 0 (8.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.345444: 1 (58.0/10.0) +| amazed-suprised- = 1: 0 (6.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| amazed-suprised- = 0: 0 (159.0/30.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.835713: 0 (73.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.835713 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.261102: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.261102: 0 (15.0/1.0) + +Number of Leaves : 8 + +Size of the tree : 15 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | sad-lonely- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.506751 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.109711 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.035237: 0 (3.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.035237: 1 (58.0/2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.109711 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.553989 +| | | | | | BH_HighPeakBPM <= 0.390977 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.201735: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.201735 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.292411 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.206469 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.518648: 0 (11.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.518648: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.206469: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.292411: 1 (11.0) +| | | | | | BH_HighPeakBPM > 0.390977: 1 (22.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.553989: 0 (7.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.506751: 0 (8.0) +| | sad-lonely- = 1 +| | | BH_HighPeakBPM <= 0.721805: 0 (27.0/2.0) +| | | BH_HighPeakBPM > 0.721805: 1 (4.0) +| happy-pleased- = 1 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.081262: 1 (3.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.081262: 0 (44.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.341205: 0 (27.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.341205: 1 (2.0) +quiet-still- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.119172 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.608362: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.608362: 1 (2.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.119172: 0 (83.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #5 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.315378 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.260118 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.14925 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.009431: 0 (4.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.009431: 1 (58.0/5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.14925 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.117515: 1 (5.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.117515 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.295035: 0 (10.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.295035: 1 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.260118 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.495113: 1 (5.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.495113: 0 (13.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.315378 +| | sad-lonely- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.338122 +| | | | happy-pleased- = 0 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.298875 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.183625: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.183625: 1 (9.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.298875 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.312294: 0 (13.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.312294: 1 (3.0/1.0) +| | | | happy-pleased- = 1 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.364024: 0 (8.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.364024 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.223241 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.379823: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.379823 +| | | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.171722: 1 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.171722: 0 (10.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.223241: 1 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.338122 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.447068: 0 (43.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.447068 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.377024: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.377024 +| | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.530638: 0 (19.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.530638: 1 (3.0) +| | sad-lonely- = 1: 0 (24.0/1.0) +quiet-still- = 1: 0 (81.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.077081: 0 (53.0/1.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.077081 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (20.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.695625 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.137296 +| | | | BH_LowPeakAmp <= 0.097867: 0 (30.0/1.0) +| | | | BH_LowPeakAmp > 0.097867 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.538188 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.102116 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.092615 +| | | | | | | | BH_LowPeakAmp <= 0.328437 +| | | | | | | | | BH_LowPeakAmp <= 0.107377: 1 (2.0) +| | | | | | | | | BH_LowPeakAmp > 0.107377: 0 (13.0) +| | | | | | | | BH_LowPeakAmp > 0.328437 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.685282: 1 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.685282: 0 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.092615: 1 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.102116: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.538188: 0 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.137296 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.335419 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.209218: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.209218 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.164159 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.167608: 0 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.167608 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.124132 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.198074: 1 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.198074: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.124132: 1 (18.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.164159 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.149608 +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.288463: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.288463 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.341729 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.563406: 1 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.563406: 0 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.341729: 0 (28.0/2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.149608 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.274769 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.411543 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081749: 1 (10.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081749 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.238815 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.385253 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.35935: 0 (6.0/1.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.35935 +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.492277: 1 (9.0) +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.492277: 0 (8.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.385253: 0 (11.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.238815: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.411543: 0 (6.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.274769 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.428912 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.219773: 1 (8.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.219773: 0 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.428912: 1 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.335419: 0 (11.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.695625: 0 (16.0) + +Number of Leaves : 31 + +Size of the tree : 61 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.07693: 0 (66.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.07693 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.095299 +| | | quiet-still- = 0: 0 (19.0/1.0) +| | | quiet-still- = 1: 1 (4.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.095299 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.533117 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.08449: 0 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.08449 +| | | | | sad-lonely- = 0: 1 (73.0/4.0) +| | | | | sad-lonely- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585818 +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.252094: 0 (6.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.252094 +| | | | | | | | quiet-still- = 0: 1 (9.0) +| | | | | | | | quiet-still- = 1 +| | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.440517: 1 (4.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.440517: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585818: 1 (14.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.533117 +| | | | BH_HighPeakBPM <= 0.090226: 1 (5.0) +| | | | BH_HighPeakBPM > 0.090226 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.593047 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.108906: 0 (7.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.108906 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.425363 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.533829 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.119183: 0 (4.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.119183 +| | | | | | | | | | quiet-still- = 0: 1 (9.0/1.0) +| | | | | | | | | | quiet-still- = 1 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.216692: 1 (6.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.216692: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.533829: 1 (12.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.425363: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.593047: 0 (14.0/2.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.269648 +| | | BHSUM2 <= 0.117529 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.208576: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.208576: 0 (14.0/1.0) +| | | BHSUM2 > 0.117529: 0 (37.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.269648: 1 (4.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.29723: 0 (16.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.29723 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.164358 +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.144185 +| | | | | BH_LowPeakAmp <= 0.034867: 1 (8.0) +| | | | | BH_LowPeakAmp > 0.034867: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.144185: 1 (55.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.164358 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.378549: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.378549 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.291745: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.291745: 1 (7.0) +| | happy-pleased- = 1 +| | | BH_HighPeakBPM <= 0.150376: 1 (3.0/1.0) +| | | BH_HighPeakBPM > 0.150376: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.232299: 0 (199.0/3.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.232299 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.31248 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.180312: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.180312: 0 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.31248: 0 (3.0) +| | happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.353094 +| | | BHSUM2 <= 0.09911 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.084766: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.084766 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.616069 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.120387: 1 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.120387 +| | | | | | | BH_LowPeakAmp <= 0.198356 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.414755 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.554396: 1 (4.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.554396: 0 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.414755: 0 (5.0) +| | | | | | | BH_LowPeakAmp > 0.198356: 1 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.616069: 0 (3.0) +| | | BHSUM2 > 0.09911 +| | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.231487 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.455156 +| | | | | | BH_HighPeakBPM <= 0.315789 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.182252: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.182252 +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.271883: 0 (7.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.271883: 1 (7.0/1.0) +| | | | | | BH_HighPeakBPM > 0.315789: 0 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.455156: 0 (26.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.231487 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.426329: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.426329 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.368402: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.368402: 0 (7.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.353094: 0 (51.0/1.0) +| happy-pleased- = 1: 0 (90.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_Rolloff <= 0.233585 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.471179: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.471179: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_Rolloff > 0.233585 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.512165 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.217189 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.363915: 0 (4.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.363915: 1 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.217189: 1 (42.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.512165 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.087466: 1 (5.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.087466 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.401612: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.401612: 1 (3.0/1.0) +| happy-pleased- = 1: 0 (3.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.171535 +| | | | | amazed-suprised- = 0: 1 (37.0) +| | | | | amazed-suprised- = 1 +| | | | | | BH_HighPeakAmp <= 0.585795 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.116981 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.68034: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.68034: 0 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.116981: 1 (36.0) +| | | | | | BH_HighPeakAmp > 0.585795 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.168898: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.168898: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.171535: 0 (6.0/1.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.119179 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.128578: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.128578: 1 (7.0) +| | | | BH_HighPeakAmp > 0.119179: 0 (10.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.494209: 0 (40.0/2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.494209: 1 (3.0) +| quiet-still- = 1: 0 (25.0/1.0) +relaxing-clam- = 1: 0 (143.0/4.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #6 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.154075: 1 (16.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.154075 +| | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.627858 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.208234 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.084204: 0 (8.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.084204: 1 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.208234: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.627858: 1 (8.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| quiet-still- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.157784: 0 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.157784 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.268942 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.103447: 1 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.103447 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.410195: 0 (11.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.410195 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.505425: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.505425 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.190182: 0 (6.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.190182: 1 (4.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.268942: 1 (14.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.505736: 0 (51.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.505736 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.215071: 1 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.215071 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.465272 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.164516: 0 (13.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.164516 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.544204: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.544204 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.354838: 0 (4.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.354838 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.054724: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.054724 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.767265: 1 (11.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.767265: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.465272: 0 (22.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.361787: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.361787 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.440017: 1 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.440017: 0 (2.0) +| | | sad-lonely- = 1: 0 (26.0) +| quiet-still- = 1: 0 (81.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.412389 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.399816 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.290709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.545161 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.293369: 0 (3.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.293369: 1 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.545161: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.290709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.534396: 1 (44.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.534396 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.206782: 1 (12.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.206782: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.399816 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.405041 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.311536: 1 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.311536 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.192444: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.192444 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.514073: 0 (13.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.514073 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.461949: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.461949: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.405041: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.412389 +| | | | amazed-suprised- = 0: 0 (5.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.535559: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.535559: 1 (4.0) +| | quiet-still- = 1 +| | | BHSUM2 <= 0.283433: 0 (20.0/1.0) +| | | BHSUM2 > 0.283433: 1 (2.0) +| angry-aggresive- = 1: 0 (96.0/6.0) +sad-lonely- = 1: 0 (93.0/1.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.118109 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.367112: 0 (37.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.367112: 1 (3.0/1.0) +| | sad-lonely- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.323967: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.323967: 1 (5.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.118109 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759577 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.126107 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.225961: 0 (12.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.225961 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.531159: 1 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.531159: 0 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.126107 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.309089 +| | | | | | BHSUM2 <= 0.109467: 1 (8.0) +| | | | | | BHSUM2 > 0.109467 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.266313: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.266313: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.309089: 1 (64.0/1.0) +| | | | sad-lonely- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.392772 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.613326 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.386805: 1 (26.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.386805 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.233567: 0 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.233567 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.294213 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.253857: 1 (5.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.253857: 0 (4.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.294213: 1 (19.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.613326 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.564007: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.564007: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.392772: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759577 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.375418: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.375418: 0 (19.0/1.0) +amazed-suprised- = 1 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.548415 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.165465 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.222363: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.222363: 0 (4.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.165465: 0 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.548415: 0 (72.0/2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998: 0 (195.0/4.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.332239: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.332239: 1 (8.0/1.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| Std_Acc1298_Std_Mem40_MFCC_3 <= 0.109499: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_3 > 0.109499 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.077763: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.077763 +| | | Std_Acc1298_Std_Mem40_Centroid <= 0.342539 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.311227 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.092927 +| | | | | | BH_LowPeakAmp <= 0.024094: 1 (8.0) +| | | | | | BH_LowPeakAmp > 0.024094 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.319947 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.434122: 0 (7.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.434122: 1 (3.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.319947: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.092927 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.469156: 0 (17.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.469156: 1 (3.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.311227: 1 (8.0) +| | | Std_Acc1298_Std_Mem40_Centroid > 0.342539 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.19323 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.192706 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.400666: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.400666: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.192706: 1 (42.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.19323: 0 (3.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.156242: 0 (77.0/2.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.156242 +| | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.484502 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.468973: 0 (18.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.468973 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.318619 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.327445 +| | | | | | BHSUM2 <= 0.024335: 1 (5.0/1.0) +| | | | | | BHSUM2 > 0.024335 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.3825 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.380787: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.380787: 1 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.3825: 0 (27.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.327445 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.461675 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.054724: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.054724 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.172891: 0 (20.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.172891: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.461675 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.403488: 1 (12.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.403488 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.474024: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.474024: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.318619 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.49338: 0 (26.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.49338 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.593068 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.389427: 0 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.389427 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.572594: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.572594: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.593068: 1 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_3 > 0.484502: 0 (25.0) +quiet-still- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.314016 +| | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.474066 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.345591 +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.218761: 1 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.218761: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.345591 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.522176 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.456124: 1 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.456124: 0 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.522176: 1 (19.0) +| | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.474066: 1 (24.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.314016 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.301466: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.301466: 0 (9.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.236937: 0 (15.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.236937 +| | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.64171 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.093155 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.216294: 1 (18.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.216294 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.467238: 1 (8.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.467238 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.516363: 1 (5.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.516363: 0 (5.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.288815 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.373789: 1 (17.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.373789 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.379637: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.379637: 1 (7.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.288815 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.3825: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.3825: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.093155 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.379723 +| | | | | sad-lonely- = 0 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.17495 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.510291 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.496936 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.44822: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.44822: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.496936: 1 (12.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.510291: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.17495: 0 (5.0) +| | | | | sad-lonely- = 1: 0 (15.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.379723: 0 (17.0) +| | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.64171 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.346101: 1 (25.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.346101 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.340505: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.340505: 1 (4.0) +relaxing-clam- = 1: 0 (153.0/5.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #7 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.200385 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.394889: 0 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.394889 +| | Std_Acc1298_Std_Mem40_Flux <= 0.89851 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.079435 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.013091: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.013091: 1 (22.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.079435 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.140038: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.140038: 1 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.89851: 1 (16.0) +Std_Acc1298_Mean_Mem40_MFCC_4 > 0.200385 +| quiet-still- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.079769 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.362002: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.362002 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.124132 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.121453: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.121453: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.124132: 1 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.079769 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.31715 +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.296705 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.318255 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.328328 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.232367 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.089155: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.089155 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.443302: 1 (12.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.443302: 0 (3.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.232367: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.328328: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.318255: 0 (8.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.296705: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.31715 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.847037 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.168469 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.086199: 0 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.086199 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.260738: 0 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.260738: 1 (8.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.168469 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.639894: 0 (51.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.639894 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.146346: 0 (22.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.146346 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.331152 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.096572 +| | | | | | | | | | BHSUM2 <= 0.026072: 0 (4.0) +| | | | | | | | | | BHSUM2 > 0.026072: 1 (4.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.096572: 0 (20.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.331152: 1 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.847037 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.162064 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.707683: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.707683: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.162064: 1 (4.0) +| quiet-still- = 1: 0 (86.0) + +Number of Leaves : 30 + +Size of the tree : 59 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (20.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.142475: 0 (15.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.142475 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.133289 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.231562: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.231562: 1 (23.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.133289 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.365406 +| | | | | amazed-suprised- = 0: 0 (95.0/41.0) +| | | | | amazed-suprised- = 1 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.240771: 1 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.240771 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.17055 +| | | | | | | | BH_HighPeakAmp <= 0.574546: 0 (24.0/2.0) +| | | | | | | | BH_HighPeakAmp > 0.574546: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.17055 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.325809: 1 (8.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.325809: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.365406 +| | | | | Std_Acc1298_Std_Mem40_Flux <= 0.816143 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.599544: 1 (5.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.599544: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_Flux > 0.816143 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.234101 +| | | | | | | amazed-suprised- = 0: 0 (2.0) +| | | | | | | amazed-suprised- = 1: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.234101: 0 (32.0) +quiet-still- = 1: 0 (86.0/4.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.089857: 0 (19.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.089857 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.714889 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.126562 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.421854: 0 (11.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.421854: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.126562 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.295517 +| | | | | | BHSUM2 <= 0.309466: 1 (23.0) +| | | | | | BHSUM2 > 0.309466 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.291389: 0 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.291389: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.295517 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.144727: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.144727 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.112416: 0 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.112416 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.538135 +| | | | | | | | | BH_HighPeakBPM <= 0.345865 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.728494: 1 (12.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.728494: 0 (3.0/1.0) +| | | | | | | | | BH_HighPeakBPM > 0.345865 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.517785 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.121453 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.075185 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.36429 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.196864: 1 (3.0/1.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.196864: 0 (6.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.36429: 1 (6.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.075185: 0 (8.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.121453: 1 (7.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.517785: 0 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.538135 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.255761: 1 (30.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.255761: 0 (2.0) +| | | happy-pleased- = 1 +| | | | BHSUM2 <= 0.130552: 1 (30.0) +| | | | BHSUM2 > 0.130552 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.291584 +| | | | | | BH_LowPeakBPM <= 0.460317: 1 (11.0) +| | | | | | BH_LowPeakBPM > 0.460317: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.291584: 0 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.714889 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.135457: 0 (25.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.135457 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.113964: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.113964: 1 (4.0) +| | | quiet-still- = 1: 1 (3.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.224097: 0 (88.0/3.0) +| Std_Acc1298_Mean_Mem40_MFCC_8 > 0.224097 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.166177: 0 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.166177: 1 (3.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Std_Mem40_Centroid <= 0.130573 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.229418: 0 (14.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.229418 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.281578: 0 (8.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.281578 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.312688 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.429817: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.429817: 0 (8.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.312688: 1 (66.0/5.0) +Mean_Acc1298_Std_Mem40_Centroid > 0.130573 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.44749 +| | BH_LowPeakBPM <= 0.412698: 0 (142.0) +| | BH_LowPeakBPM > 0.412698 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.628549 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.324799 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.224135: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.224135: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.324799: 0 (9.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.628549: 0 (40.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.44749 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.1753 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.295225: 0 (5.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.295225: 1 (11.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.1753: 0 (8.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.374781 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.150764: 1 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.150764 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.294351: 0 (8.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.294351 +| | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.874466 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.558464: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.558464: 1 (3.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.874466: 1 (16.0/1.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.754244: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.754244: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.374781: 0 (14.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0: 0 (94.0/6.0) +| | | relaxing-clam- = 1: 1 (3.0/1.0) +| happy-pleased- = 1: 0 (85.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.392761: 1 (63.0/5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.392761 +| | | | BH_HighPeakAmp <= 0.001525: 1 (6.0) +| | | | BH_HighPeakAmp > 0.001525: 0 (8.0/2.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (5.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.149348 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.306917: 1 (91.0/7.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.306917 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.123225: 1 (7.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.123225: 0 (7.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.149348 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.482434: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.482434: 0 (8.0) +| | happy-pleased- = 1 +| | | amazed-suprised- = 0 +| | | | BH_HighPeakBPM <= 0.345865: 0 (9.0) +| | | | BH_HighPeakBPM > 0.345865 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.211669: 1 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.211669: 0 (4.0) +| | | amazed-suprised- = 1 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.297464: 0 (22.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.297464: 1 (2.0) +| quiet-still- = 1: 0 (29.0/1.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.0958 +| | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.377366: 0 (5.0) +| | Std_Acc1298_Std_Mem40_MFCC_1 > 0.377366: 1 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.0958: 0 (133.0/1.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #8 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.283831: 1 (31.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.283831: 0 (3.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.352129 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.467856 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.652334 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.095306 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.403412: 1 (11.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.403412: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.095306: 0 (68.0/17.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.652334: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.467856: 1 (18.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.352129 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.200242: 0 (38.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.200242 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.363104 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.34937 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.357714 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.695315 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.444704 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072974: 1 (7.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072974: 0 (8.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.444704: 0 (8.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.695315: 1 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.357714: 0 (19.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.34937: 1 (6.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.363104: 0 (21.0) +| quiet-still- = 1: 0 (80.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.162374: 1 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.162374 +| | | relaxing-clam- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.694213 +| | | | | amazed-suprised- = 0 +| | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.108626: 0 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.108626 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.474646 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.437136: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.437136: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.474646: 1 (11.0) +| | | | | amazed-suprised- = 1 +| | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.1404: 1 (8.0) +| | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.1404 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.101162 +| | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.12628: 0 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.12628 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.09254: 0 (2.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.09254: 1 (12.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.101162: 0 (10.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.694213: 0 (6.0) +| | | relaxing-clam- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.176716: 1 (15.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.176716 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.249773 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.06538: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.06538: 1 (16.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.249773 +| | | | | | amazed-suprised- = 0 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.57901 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.410905 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.283759: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.283759: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.410905: 0 (21.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.57901 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.642918 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.188415: 0 (3.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.188415: 1 (7.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.642918: 0 (5.0) +| | | | | | amazed-suprised- = 1: 1 (3.0/1.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.202345: 0 (85.0/4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.202345 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.11131: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.11131 +| | | | BH_LowPeakBPM <= 0.222222: 1 (3.0/1.0) +| | | | BH_LowPeakBPM > 0.222222: 0 (6.0) +quiet-still- = 1 +| Mean_Acc1298_Mean_Mem40_Centroid <= 0.218983: 0 (50.0) +| Mean_Acc1298_Mean_Mem40_Centroid > 0.218983 +| | Std_Acc1298_Std_Mem40_Flux <= 0.88932: 1 (4.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.88932 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.200802 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.665675: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.665675: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.200802: 0 (21.0) + +Number of Leaves : 30 + +Size of the tree : 59 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.75311 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.085371 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.398051: 0 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.398051: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.085371 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.314127 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.478592: 1 (19.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.478592 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.268747: 0 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.268747 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.661092: 1 (16.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.661092: 0 (4.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.314127: 1 (40.0) +| | | quiet-still- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.127933: 1 (25.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.127933 +| | | | | Std_Acc1298_Std_Mem40_Flux <= 0.894547: 1 (16.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Flux > 0.894547 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.804806 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.514073 +| | | | | | | | BH_HighPeakAmp <= 0: 0 (9.0/1.0) +| | | | | | | | BH_HighPeakAmp > 0 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.461535: 1 (9.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.461535: 0 (5.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.514073: 1 (8.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.804806: 0 (6.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.75311 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.396642: 0 (11.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.396642: 1 (4.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.042766: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.042766 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.530875: 0 (42.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.530875: 1 (3.0) +angry-aggresive- = 1: 0 (98.0/2.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456699 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.155423: 0 (123.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.155423 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.4112: 0 (80.0/6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.4112: 1 (5.0/1.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456699 +| BH_LowPeakAmp <= 0.13062 +| | BH_HighPeakAmp <= 0.048217 +| | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.075258: 0 (6.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.075258 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.104374: 1 (40.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.104374 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.143916: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.143916 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.169867: 1 (21.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.169867: 0 (3.0/1.0) +| | BH_HighPeakAmp > 0.048217 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.171021 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.18557: 1 (5.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.18557: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.171021 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.315206: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.315206: 1 (2.0) +| BH_LowPeakAmp > 0.13062: 0 (17.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.372737 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.489365: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.489365 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.622384 +| | | | | | amazed-suprised- = 0 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.403374: 0 (5.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.403374 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.308016: 1 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.308016 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.327734: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.327734: 1 (7.0/1.0) +| | | | | | amazed-suprised- = 1 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.113303: 1 (5.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.113303: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.622384: 0 (7.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.372737: 0 (15.0) +| | angry-aggresive- = 1 +| | | amazed-suprised- = 0 +| | | | BH_HighPeakAmp <= 0 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.225624: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.225624: 0 (7.0) +| | | | BH_HighPeakAmp > 0: 0 (34.0/1.0) +| | | amazed-suprised- = 1: 0 (42.0) +| happy-pleased- = 1: 0 (92.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.617871 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.361035 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.337654: 1 (41.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.337654 +| | | | | | BH_HighPeakAmp <= 0.001694: 0 (4.0) +| | | | | | BH_HighPeakAmp > 0.001694: 1 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.361035 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.31248 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.085696: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.085696: 0 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.31248: 1 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.617871: 0 (5.0) +| happy-pleased- = 1: 0 (5.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.141606 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.251671 +| | | amazed-suprised- = 0 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.421121 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.164175: 1 (9.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.164175 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.151139: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.151139 +| | | | | | | BHSUM3 <= 0.15126: 1 (8.0) +| | | | | | | BHSUM3 > 0.15126 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.178375 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.068452: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.068452: 0 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932: 1 (6.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.178375: 0 (8.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.421121: 1 (13.0) +| | | amazed-suprised- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.200386 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.057822 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.020148: 0 (6.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.020148: 1 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.057822: 0 (13.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.200386: 1 (32.0/4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.251671 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.604571: 0 (9.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.604571: 1 (2.0) +| quiet-still- = 1: 0 (6.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.141606 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.300578 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.381451 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.158116: 1 (11.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.158116 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.482466: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.482466: 1 (4.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.381451: 0 (9.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.300578 +| | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.614271: 0 (160.0/2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.614271 +| | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.690794: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.690794: 1 (4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #9 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Std_Acc1298_Mean_Mem40_Flux <= 0.089351: 1 (18.0) +| Std_Acc1298_Mean_Mem40_Flux > 0.089351 +| | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.289995 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.079683 +| | | | | Std_Acc1298_Std_Mem40_Flux <= 0.839359: 0 (4.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Flux > 0.839359: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.079683: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.289995 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.392987: 1 (12.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.392987: 0 (2.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (10.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| BHSUM1 <= 0.337429 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.139072 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.23687 +| | | | BH_LowPeakBPM <= 0.126984: 1 (6.0) +| | | | BH_LowPeakBPM > 0.126984 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.286187 +| | | | | | BH_LowPeakAmp <= 0.029179: 0 (10.0/1.0) +| | | | | | BH_LowPeakAmp > 0.029179 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.123022: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.123022: 0 (3.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.286187: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.23687: 0 (18.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.139072 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.183285 +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.181843: 0 (9.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.181843: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.183285 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.278918: 0 (100.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.278918 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.51208: 0 (24.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.51208 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.552264: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.552264 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.559661: 0 (19.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.559661 +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.472926: 1 (4.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.472926: 0 (3.0) +| BHSUM1 > 0.337429 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.141215 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.423953 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.113479 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.337191: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.337191: 1 (5.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.113479: 1 (14.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.423953: 0 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.141215 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.660889: 0 (15.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.660889: 1 (2.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.06538: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.06538 +| | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.25266 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.418073 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.59919 +| | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.148198: 0 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.148198 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.35428 +| | | | | | | | | relaxing-clam- = 0 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.53534: 1 (23.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.53534 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.202467: 0 (4.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.202467: 1 (8.0) +| | | | | | | | | relaxing-clam- = 1 +| | | | | | | | | | BHSUM3 <= 0.30623: 1 (11.0) +| | | | | | | | | | BHSUM3 > 0.30623 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.173568: 1 (4.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.173568: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.35428 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.098247: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.098247: 0 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.59919: 0 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.418073: 1 (23.0) +| | | | Std_Acc1298_Mean_Mem40_Centroid > 0.25266: 0 (8.0/1.0) +| | quiet-still- = 1 +| | | BH_HighPeakAmp <= 0.036477: 0 (20.0/1.0) +| | | BH_HighPeakAmp > 0.036477: 1 (4.0/1.0) +| angry-aggresive- = 1: 0 (105.0/8.0) +sad-lonely- = 1: 0 (90.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.089857: 0 (19.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.089857 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.086137: 0 (14.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.086137 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.098032 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.294614: 0 (11.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.294614 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.601154 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.237825: 1 (12.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.237825 +| | | | | | | BH_HighPeakAmp <= 0.205249 +| | | | | | | | BH_LowPeakBPM <= 0.698413: 0 (9.0) +| | | | | | | | BH_LowPeakBPM > 0.698413: 1 (2.0) +| | | | | | | BH_HighPeakAmp > 0.205249: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.601154: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.098032 +| | | | BH_LowPeakBPM <= 0.619048 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.8535 +| | | | | | BHSUM3 <= 0.186805 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.354188 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.55674: 0 (7.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.55674: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.354188 +| | | | | | | | BHSUM3 <= 0.118684 +| | | | | | | | | BH_HighPeakAmp <= 0.004648 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.452139: 1 (5.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.452139: 0 (10.0/1.0) +| | | | | | | | | BH_HighPeakAmp > 0.004648: 1 (12.0/1.0) +| | | | | | | | BHSUM3 > 0.118684: 1 (15.0) +| | | | | | BHSUM3 > 0.186805: 1 (52.0/2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.8535 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.535581 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.119668: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.119668: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.535581: 0 (7.0) +| | | | BH_LowPeakBPM > 0.619048 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.286756: 0 (8.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.286756 +| | | | | | BH_HighPeakAmp <= 0.047152 +| | | | | | | BH_HighPeakAmp <= 0.001545 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.167958 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.055333: 1 (4.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.055333: 0 (6.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.167958: 1 (5.0) +| | | | | | | BH_HighPeakAmp > 0.001545: 1 (7.0) +| | | | | | BH_HighPeakAmp > 0.047152: 0 (5.0) +amazed-suprised- = 1 +| Std_Acc1298_Std_Mem40_MFCC_8 <= 0.229353: 0 (82.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_8 > 0.229353 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.134986 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.496532: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.496532: 0 (2.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.134986: 0 (9.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.228468 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.094265 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.247536: 0 (14.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.247536: 1 (6.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.094265: 0 (199.0/5.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.228468 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.600798 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.145336: 1 (11.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.145336 +| | | | | relaxing-clam- = 0: 1 (2.0) +| | | | | relaxing-clam- = 1: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.600798: 0 (2.0) +| | amazed-suprised- = 1: 0 (2.0) +sad-lonely- = 1 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.105334: 0 (11.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.105334 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.21514 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.159995: 1 (62.0/4.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.159995: 0 (5.0/1.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.21514 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.227369: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.227369: 1 (2.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Std_Mem40_Centroid <= 0.310978 +| Std_Acc1298_Std_Mem40_Centroid <= 0.355649 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.464551 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.631842: 0 (40.0/3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.631842 +| | | | | BH_LowPeakBPM <= 0.285714: 0 (3.0) +| | | | | BH_LowPeakBPM > 0.285714: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.464551 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.156889: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.156889 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.209669 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.149707: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.149707: 1 (14.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.209669 +| | | | | | relaxing-clam- = 0 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.175827: 0 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.175827: 1 (5.0) +| | | | | | relaxing-clam- = 1 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.381046 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.092927 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.183853: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.183853: 0 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.092927: 0 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.381046: 1 (3.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.035981 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.08182: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.08182: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.035981: 0 (45.0) +| Std_Acc1298_Std_Mem40_Centroid > 0.355649 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.070255: 0 (9.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.070255 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.259598 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.130648 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.174264 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.058241: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.058241: 0 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.174264: 1 (43.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.130648 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.610694 +| | | | | | | BHSUM1 <= 0.171885: 1 (8.0) +| | | | | | | BHSUM1 > 0.171885: 0 (5.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.610694: 0 (4.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.098726: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.098726: 1 (4.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.259598: 0 (4.0) +Mean_Acc1298_Std_Mem40_Centroid > 0.310978 +| Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.726777: 0 (92.0) +| Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.726777 +| | relaxing-clam- = 0: 0 (3.0) +| | relaxing-clam- = 1: 1 (2.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.475018 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.188854: 1 (21.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.188854 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.239012: 0 (12.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.239012 +| | | | | sad-lonely- = 0 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.171604 +| | | | | | | BHSUM1 <= 0.381846 +| | | | | | | | BH_LowPeakAmp <= 0.085127 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.618754 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.173474: 0 (7.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.173474: 1 (3.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.618754: 1 (9.0) +| | | | | | | | BH_LowPeakAmp > 0.085127: 1 (24.0) +| | | | | | | BHSUM1 > 0.381846 +| | | | | | | | BHSUM1 <= 0.512495: 0 (9.0) +| | | | | | | | BHSUM1 > 0.512495 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.187919: 1 (8.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.187919 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.069089: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.069089: 0 (7.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.171604 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.499454 +| | | | | | | | amazed-suprised- = 0: 1 (5.0/1.0) +| | | | | | | | amazed-suprised- = 1 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.300877: 1 (4.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.300877: 0 (7.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.499454: 0 (9.0) +| | | | | sad-lonely- = 1 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.094286: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.094286: 0 (8.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.475018: 1 (32.0) +| quiet-still- = 1: 0 (31.0/1.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.075367 +| | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.557745: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.557745: 0 (5.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.075367: 0 (120.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multilabel.meta.RandomSubspaceML: Model #10 + +meka.classifiers.multilabel.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | | happy-pleased- = 0 +| | | | angry-aggresive- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.382621: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.382621: 1 (13.0) +| | | | angry-aggresive- = 1 +| | | | | BH_HighPeakAmp <= 0.31956 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.283614: 1 (22.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.283614 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.625004: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.625004 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.336279: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.336279: 0 (8.0/1.0) +| | | | | BH_HighPeakAmp > 0.31956 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.135895 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.663173: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.663173: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.135895: 0 (8.0) +| | | happy-pleased- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.068327: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.068327 +| | | | | angry-aggresive- = 0 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.246527 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.1077: 1 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.1077 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.171053: 0 (8.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.171053: 1 (7.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.246527: 1 (8.0) +| | | | | angry-aggresive- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502625: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502625: 0 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.669887 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.110957 +| | | | | BHSUM3 <= 0.112842 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.279268: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.279268: 0 (3.0) +| | | | | BHSUM3 > 0.112842: 0 (24.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.110957: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.669887: 1 (4.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.835713: 0 (31.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.835713 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.163963: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.163963: 0 (2.0) +relaxing-clam- = 1 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.162305 +| | | BHSUM3 <= 0.418769 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.031572: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.031572 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.574646: 0 (22.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.574646: 1 (3.0/1.0) +| | | BHSUM3 > 0.418769: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.162305: 0 (68.0) +| sad-lonely- = 1: 0 (52.0) + +Number of Leaves : 30 + +Size of the tree : 59 + + +meka.classifiers.multilabel.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.322293 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.047026: 0 (6.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.047026 +| | | | relaxing-clam- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.552866 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.399598 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.277223: 1 (6.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.277223: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.399598: 1 (29.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.552866: 0 (4.0/1.0) +| | | | relaxing-clam- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.186499 +| | | | | | BH_HighPeakAmp <= 0.056982: 0 (7.0) +| | | | | | BH_HighPeakAmp > 0.056982: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.186499 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.344351: 1 (20.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.344351 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.147569: 1 (9.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.147569 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.132335: 0 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.132335 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.244804 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.507085: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.507085: 1 (16.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.244804: 0 (6.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.322293 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.213035 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.116943: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.116943: 1 (7.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.213035: 0 (22.0/1.0) +| angry-aggresive- = 1: 0 (91.0/7.0) +sad-lonely- = 1: 0 (90.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multilabel.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.083759: 0 (11.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.083759 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.115941 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.468361: 0 (8.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.468361: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.115941 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.129702 +| | | | | BH_HighPeakAmp <= 0.008926 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.535581 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.232715: 1 (12.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.232715 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.430361: 0 (7.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.430361 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.139388: 0 (3.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.139388: 1 (13.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.535581 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.044085: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.044085: 0 (11.0) +| | | | | BH_HighPeakAmp > 0.008926: 1 (75.0/15.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.129702 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.360236: 1 (56.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.360236: 0 (4.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (26.0/1.0) +angry-aggresive- = 1: 0 (96.0/4.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multilabel.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.126356 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.1753 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.368138 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.341305: 1 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.341305 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.246568: 0 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.246568: 1 (6.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.368138: 1 (60.0/1.0) +| | | happy-pleased- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.282428: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.282428: 0 (6.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.1753: 0 (9.0) +| amazed-suprised- = 1: 0 (13.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.126356 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.419453 +| | BH_HighPeakAmp <= 0.048737: 1 (7.0/1.0) +| | BH_HighPeakAmp > 0.048737: 0 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.419453: 0 (205.0/4.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multilabel.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| angry-aggresive- = 0 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.369604 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.033199: 1 (13.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.033199 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.382453 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.081065: 0 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.081065: 1 (3.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.382453 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163: 1 (14.0/1.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.369604: 1 (29.0) +| angry-aggresive- = 1: 0 (9.0/1.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| angry-aggresive- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.090421 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.111598: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.111598 +| | | | BH_HighPeakAmp <= 0.125139 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.151348: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.151348: 0 (5.0) +| | | | BH_HighPeakAmp > 0.125139: 1 (6.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.090421 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.254559: 0 (56.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.254559 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.203404 +| | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.187594 +| | | | | | BHSUM3 <= 0.71056 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.588451 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.035695: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.035695: 0 (51.0/5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.588451: 1 (4.0/1.0) +| | | | | | BHSUM3 > 0.71056: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Flux > 0.187594: 1 (5.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.203404: 0 (16.0) +| angry-aggresive- = 1: 0 (87.0/4.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multilabel.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.162619 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.704861 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.185016 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.188854: 1 (14.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.188854 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.592936 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.066131 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.360347 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.109073 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.232824: 1 (8.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.232824: 0 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.109073: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.360347: 0 (14.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.066131 +| | | | | | BHSUM3 <= 0.15126: 1 (18.0/1.0) +| | | | | | BHSUM3 > 0.15126 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.183905: 0 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.183905 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.784282 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.149905: 1 (25.0/2.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.149905 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.593047 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.313397: 1 (7.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.313397: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.593047: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.784282: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.592936: 0 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.185016: 0 (10.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.704861: 1 (12.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.162619 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.07556 +| | BH_HighPeakAmp <= 0.089874: 0 (5.0/1.0) +| | BH_HighPeakAmp > 0.089874: 1 (5.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.07556 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.103588 +| | | BH_LowPeakAmp <= 0.065392: 0 (11.0) +| | | BH_LowPeakAmp > 0.065392 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.61112: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.61112 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.077236 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.717025: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.717025: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.077236: 1 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.103588: 0 (154.0/3.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.RandomSubspaceML +Options [-A, 50, -S, 1, -I, 10, -P, 67, -W, meka.classifiers.multilabel.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multilabel/meta/SubsetMapper.ref b/bin/test/meka/classifiers/multilabel/meta/SubsetMapper.ref new file mode 100644 index 00000000..2219f41e --- /dev/null +++ b/bin/test/meka/classifiers/multilabel/meta/SubsetMapper.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multilabel.meta.SubsetMapper +Options [-W, meka.classifiers.multilabel.BR, --, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/CC.ref b/bin/test/meka/classifiers/multitarget/CC.ref new file mode 100644 index 00000000..56bf4711 --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/CC.ref @@ -0,0 +1,456 @@ +== Model info + +Model +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.924906 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25087 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25087 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.791859: 1 (26.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.791859: 0 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.924906: 1 (13.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | Std_Acc1298_Mean_Mem40_Rolloff <= 0.365321 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.471527 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.092078: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.092078 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.156562: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.156562 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.51788: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.51788: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44142 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.059763: 1 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.059763: 0 (25.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.471527: 1 (10.0) +| | Std_Acc1298_Mean_Mem40_Rolloff > 0.365321: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 0 (117.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.466543 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.332043 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.833206 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235163 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.565512 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.462412: 0 (21.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.462412 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.390197: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.390197: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.565512: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235163 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.072788 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.463995: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.463995: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.072788: 0 (103.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.833206 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.113227: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.113227 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (3.0) +| | | | | | | BH_LowPeakBPM > 0.111111: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.332043 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.309785 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.657953: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.657953: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.309785: 0 (13.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.466543 +| | | | BH_LowPeakAmp <= 0.198356: 0 (3.0) +| | | | BH_LowPeakAmp > 0.198356: 1 (11.0/1.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.035167: 0 (36.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.035167 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (31.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.253809 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | BH_LowPeakBPM <= 0.111111: 0 (10.0) +| | | | | BH_LowPeakBPM > 0.111111 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.07529: 0 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.07529 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.082247: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.082247 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.048932: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.048932 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.184785: 0 (15.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.184785: 1 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.491356 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.248081: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.248081 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.16608: 0 (8.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.16608: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.13903 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.292763: 1 (23.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.292763 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.349755: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.349755: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935 +| | | | | | | | | BH_LowPeakBPM <= 0.666667: 0 (16.0) +| | | | | | | | | BH_LowPeakBPM > 0.666667 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.337032: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.337032: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281 +| | | | | BHSUM1 <= 0.099943: 0 (2.0) +| | | | | BHSUM1 > 0.099943: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.253809 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.60961: 0 (49.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.60961 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.634682: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.634682: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.263709 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.631589 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.215319 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.19897: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.19897 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.272647 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.254213 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.468044: 1 (16.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.468044 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.254213: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.272647 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.423528 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.19282: 0 (23.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.19282 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.673533 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.340063: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.340063 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238 +| | | | | | | | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (3.0) +| | | | | | | | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.488621: 0 (13.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.488621: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 0 (22.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.673533: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.423528: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.215319 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.678322: 1 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.678322: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.631589: 0 (17.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.235533 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.300987 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.468238: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.468238: 1 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.300987: 1 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.235533: 0 (20.0/1.0) + +Number of Leaves : 44 + +Size of the tree : 87 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206: 0 (47.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206 +| | | BH_LowPeakAmp <= 0.074064: 1 (8.0/1.0) +| | | BH_LowPeakAmp > 0.074064: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795 +| | | | happy-pleased- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.47477 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.093861: 0 (6.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.093861 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.229801: 1 (29.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.229801 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.304422 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.521198 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.585418: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.585418: 1 (5.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.521198 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.126911: 0 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.126911: 1 (13.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.304422: 1 (28.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.47477 +| | | | | | BHSUM3 <= 0.050393: 0 (7.0) +| | | | | | BHSUM3 > 0.050393 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.25455 +| | | | | | | | BH_HighPeakBPM <= 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.348523: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.348523 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.142582: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.142582 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.53614: 1 (28.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.53614: 0 (3.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.406015 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.32499: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.32499 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.129771: 0 (5.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.129771 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.708545 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.311456: 0 (5.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.311456 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.209743: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.209743 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.088329 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.009323: 1 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.009323: 0 (2.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.088329: 1 (22.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.708545: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.25455: 0 (5.0) +| | | | happy-pleased- = 1 +| | | | | BHSUM2 <= 0.195962: 1 (49.0) +| | | | | BHSUM2 > 0.195962 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.370678: 0 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.370678: 1 (13.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (18.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121824: 0 (111.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121824 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | happy-pleased- = 0: 0 (16.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.236267: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.236267 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.183372: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.183372: 0 (10.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 36 + +Size of the tree : 71 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.459437: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.459437: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.449254 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.475707: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.475707: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.449254: 1 (94.0/2.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (22.0/1.0) +| amazed-suprised- = 1: 0 (17.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (214.0) +| | relaxing-clam- = 1 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.483131: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.483131: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.34292: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.34292: 1 (4.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.548333: 0 (40.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.548333: 1 (3.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.185862: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.185862 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.564216: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.564216: 1 (2.0) +| | happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | relaxing-clam- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.301923 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.174982 +| | | | | | BHSUM1 <= 0.184166: 0 (8.0) +| | | | | | BHSUM1 > 0.184166: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.174982 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.411047: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.411047: 1 (12.0) +| | | | amazed-suprised- = 1 +| | | | | BH_HighPeakAmp <= 0.097743: 0 (21.0) +| | | | | BH_HighPeakAmp > 0.097743 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502689 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.426252: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.426252 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.25777: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.25777: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502689: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.301923: 0 (112.0/3.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.489365: 0 (11.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.489365 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.155423: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.155423 +| | | | | BH_HighPeakAmp <= 0.334574 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40569: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40569 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.31743 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.478139: 0 (6.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.478139 +| | | | | | | | | BHSUM1 <= 0.271004 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.526906: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.526906: 0 (2.0) +| | | | | | | | | BHSUM1 > 0.271004: 0 (8.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.31743: 1 (5.0) +| | | | | BH_HighPeakAmp > 0.334574: 1 (4.0) +| happy-pleased- = 1: 0 (128.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.101394 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.227777: 0 (6.0/1.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.227777: 1 (77.0/6.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.101394 +| | | BH_LowPeakAmp <= 0.008701: 1 (5.0) +| | | BH_LowPeakAmp > 0.008701 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.427854: 1 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.427854 +| | | | | relaxing-clam- = 0 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.369251: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.369251: 1 (2.0) +| | | | | relaxing-clam- = 1: 0 (14.0) +| happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (63.0) +| | | | amazed-suprised- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.171535 +| | | | | | BHSUM3 <= 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.501619: 1 (31.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.501619 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.356511: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.356511 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.30497: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.30497: 1 (7.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.079018 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.468649: 1 (25.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.468649 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.561516: 0 (4.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.561516: 1 (4.0) +| | | | | | BHSUM3 > 0.727501 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.592453: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.592453: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.171535: 0 (5.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.246989 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.330108 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.835713: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.835713: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.330108: 0 (13.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.246989: 1 (6.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.366876 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.07883 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.133994: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.133994: 0 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.07883: 0 (35.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.366876 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.196681 +| | | | | BH_HighPeakBPM <= 0.721805: 0 (12.0/1.0) +| | | | | BH_HighPeakBPM > 0.721805: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.196681: 1 (4.0) +| quiet-still- = 1: 0 (36.0/1.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (36.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (171.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +== Evaluation Info + +Classifier meka.classifiers.multitarget.CC +Options [-S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info [0, 1, 2, 3, 4, 5] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/CCp.ref b/bin/test/meka/classifiers/multitarget/CCp.ref new file mode 100644 index 00000000..df7bdb41 --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/CCp.ref @@ -0,0 +1,22 @@ +== Model info + +Model No model built yet +== Evaluation Info + +Classifier meka.classifiers.multitarget.CCp +Options [-S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info [0, 1, 2, 3, 4, 5] +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/CR.ref b/bin/test/meka/classifiers/multitarget/CR.ref new file mode 100644 index 00000000..35d69b63 --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/CR.ref @@ -0,0 +1,19 @@ +== Evaluation Info + +Classifier meka.classifiers.multitarget.CR +Options [-W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/meta/BaggingMT.ref b/bin/test/meka/classifiers/multitarget/meta/BaggingMT.ref new file mode 100644 index 00000000..4db5bc2d --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/meta/BaggingMT.ref @@ -0,0 +1,3264 @@ +== Model info + +Model +meka.classifiers.multitarget.meta.BaggingMT: Model #1 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.062609: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.062609 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.085235: 1 (37.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.085235 +| | | | | BH_LowPeakBPM <= 0.126984: 1 (16.0) +| | | | | BH_LowPeakBPM > 0.126984 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.46524 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.173605 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.307977 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.254326 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.139798 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.43009 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.171128: 1 (31.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.171128 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.505425: 1 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.505425: 0 (5.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.43009: 0 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.139798 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.134218: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.134218: 0 (12.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.254326: 0 (7.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.307977: 0 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.173605: 1 (30.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.46524: 0 (10.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.550262 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884: 0 (34.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.40629: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.40629: 1 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.550262: 1 (3.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.285892: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.285892 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.038976: 1 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.038976: 0 (45.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.209473 +| | BH_HighPeakAmp <= 0.038984: 0 (14.0) +| | BH_HighPeakAmp > 0.038984 +| | | sad-lonely- = 0: 1 (6.0) +| | | sad-lonely- = 1: 0 (2.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.209473 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.336869 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.338679: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.338679: 0 (7.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.336869: 0 (180.0/1.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Mean_Mem40_Centroid <= 0.25266 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.075313 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.185687: 0 (47.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.185687: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.075313 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.231562 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.363976: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.363976: 0 (28.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.231562 +| | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.037281: 1 (15.0) +| | | | Std_Acc1298_Mean_Mem40_Centroid > 0.037281 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.58792 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.062231: 0 (15.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.062231 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.332912 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.053199: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.053199 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.07409: 0 (5.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.07409 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.191358 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.186189 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.066702: 0 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.066702 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.298876: 1 (20.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.298876: 0 (3.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.186189: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.191358: 1 (53.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.332912 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.17008: 0 (17.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.17008 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.378935: 1 (10.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.378935 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.825112 +| | | | | | | | | | | BHSUM1 <= 0.020902: 1 (5.0) +| | | | | | | | | | | BHSUM1 > 0.020902 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.2296 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.184712 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.130768: 0 (4.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.130768: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.184712: 0 (25.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.2296 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.638742: 1 (11.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.638742: 0 (7.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.825112: 1 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.58792 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.156986: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.156986 +| | | | | | | BH_LowPeakBPM <= 0.15873 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.512752: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.512752: 0 (3.0) +| | | | | | | BH_LowPeakBPM > 0.15873: 0 (23.0) +| Std_Acc1298_Mean_Mem40_Centroid > 0.25266: 0 (33.0) +sad-lonely- = 1: 0 (140.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.109627 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.122423 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.627866: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.627866: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.122423: 0 (116.0) +Std_Acc1298_Mean_Mem40_MFCC_7 > 0.109627 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.081579: 0 (32.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.081579 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.110312 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.140396: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.140396: 0 (19.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.110312 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.234127 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.293291: 0 (13.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.293291: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.234127 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.851509 +| | | | | | BHSUM2 <= 0.268022 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.605375 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.564565 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.218647 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.386964: 1 (7.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.386964: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.218647 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.70408: 1 (152.0/3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.70408 +| | | | | | | | | | | BH_HighPeakBPM <= 0.421053: 1 (7.0) +| | | | | | | | | | | BH_HighPeakBPM > 0.421053: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.564565 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.241799: 1 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.241799: 0 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.605375 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.517785 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.194512: 0 (3.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.194512: 1 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.517785: 0 (8.0) +| | | | | | BHSUM2 > 0.268022 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.265536 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.167958: 0 (16.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.167958: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.265536: 1 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.851509 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.477852: 1 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.477852 +| | | | | | | BH_LowPeakAmp <= 0.014247: 1 (2.0) +| | | | | | | BH_LowPeakAmp > 0.014247: 0 (15.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.30849: 0 (37.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.30849: 1 (2.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.155448 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.170668 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.302253 +| | | | | sad-lonely- = 0: 0 (6.0/1.0) +| | | | | sad-lonely- = 1: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.302253: 1 (100.0/2.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.170668 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.465933: 0 (24.0/2.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.465933: 1 (7.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.36763: 0 (22.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.36763: 1 (4.0) +| amazed-suprised- = 1: 0 (14.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.155448 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.486461 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.672727: 0 (259.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.672727 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.164488: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.164488 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.674618: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.674618: 0 (29.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.486461 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.722982: 0 (14.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.722982: 1 (6.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.097773 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.094467: 0 (11.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.094467 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.374341 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.152256 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.451149 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.09124: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.09124 +| | | | | | BHSUM3 <= 0.076709 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.546357: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.546357: 0 (2.0) +| | | | | | BHSUM3 > 0.076709: 1 (34.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.451149 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.319273: 1 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.319273 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.496532: 0 (15.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.496532: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.152256: 0 (6.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.374341: 1 (33.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.097773 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.278622 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.038966 +| | | BH_LowPeakBPM <= 0.142857: 1 (2.0) +| | | BH_LowPeakBPM > 0.142857: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.038966: 0 (127.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.278622 +| | BHSUM3 <= 0.057093 +| | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.27632: 1 (10.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.27632: 0 (3.0) +| | BHSUM3 > 0.057093 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.201931 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.852536: 0 (65.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.852536 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.423468: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.423468: 0 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.201931 +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.137961: 0 (34.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.137961 +| | | | | BH_LowPeakBPM <= 0.174603: 0 (15.0) +| | | | | BH_LowPeakBPM > 0.174603 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.408677 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.157023: 1 (24.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.157023: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.408677 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.127159: 1 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.127159 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.44194: 0 (19.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.44194 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.315692 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.337936: 1 (8.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.337936 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.409839: 1 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.409839 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.512611 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.275672 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.333808: 1 (3.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.333808: 0 (2.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.275672: 0 (18.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.512611: 1 (3.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.315692: 0 (18.0) + +Number of Leaves : 31 + +Size of the tree : 61 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.475018 +| | happy-pleased- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.362829 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.179201: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.179201 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.502735: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.502735: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.541782 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.087013: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.087013: 1 (77.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.541782 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.573498: 1 (8.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.573498 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.60191: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.60191: 0 (12.0) +| | | | sad-lonely- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.727606 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.225772: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.225772: 0 (19.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.727606: 1 (8.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.362829: 0 (27.0/1.0) +| | happy-pleased- = 1 +| | | BHSUM3 <= 0.126293: 1 (4.0/1.0) +| | | BHSUM3 > 0.126293 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.125611: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.125611 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.085729 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.242453: 0 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.242453: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.085729: 0 (47.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.475018: 1 (35.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.085854 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.156952: 1 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.156952: 0 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.085854: 0 (201.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #2 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_9 <= 0.166935 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.186135 +| | Std_Acc1298_Std_Mem40_Flux <= 0.843976 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.490084: 0 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.490084: 1 (3.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.843976 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.293394 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.722933 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.091185 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.174692: 1 (10.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.174692: 0 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.091185: 1 (68.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.722933 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.235598: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.235598: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.293394: 0 (5.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.186135: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_9 > 0.166935 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.791142 +| | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.109499 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.536586: 1 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.536586: 0 (7.0) +| | Std_Acc1298_Std_Mem40_MFCC_3 > 0.109499 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.40699 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.243007 +| | | | | BH_HighPeakAmp <= 0.023816: 0 (23.0) +| | | | | BH_HighPeakAmp > 0.023816 +| | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.364261: 1 (13.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.364261: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.243007: 0 (218.0/3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.40699 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.687798 +| | | | | BH_HighPeakAmp <= 0.002477: 0 (6.0) +| | | | | BH_HighPeakAmp > 0.002477 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.079358: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.079358 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.374187 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.224895: 0 (3.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.224895: 1 (16.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.374187: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.687798: 0 (16.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.791142 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.169033: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.169033 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.305575: 0 (9.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.305575 +| | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.035793: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_Centroid > 0.035793: 1 (31.0/1.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.322293 +| | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.275346 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.175514 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.534735 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.206905: 1 (14.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.206905 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.424305 +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.186372: 0 (34.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.186372 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.63253: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.63253: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.424305: 1 (6.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.534735: 0 (62.0/2.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.175514 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.586563: 1 (16.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.586563: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.275346 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.475561 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.163121 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.726286: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.726286: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.163121 +| | | | | amazed-suprised- = 0 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.428211: 1 (34.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.428211 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.295048: 1 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.295048 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.275415 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.307994: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.307994: 1 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.275415: 1 (6.0) +| | | | | amazed-suprised- = 1: 1 (20.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.475561 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.290836: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.290836: 1 (4.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.322293: 0 (83.0/3.0) +angry-aggresive- = 1 +| BH_HighPeakBPM <= 0.721805 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.394482: 0 (147.0/4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.394482 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.315836: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.315836: 1 (5.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.261102: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.261102: 1 (5.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.085022: 0 (29.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.085022 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.479538 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.290861 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.507365: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.507365: 1 (16.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.290861 +| | | | | | BHSUM2 <= 0.008314 +| | | | | | | quiet-still- = 0: 1 (4.0) +| | | | | | | quiet-still- = 1: 0 (2.0) +| | | | | | BHSUM2 > 0.008314: 1 (113.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.479538 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.102056: 0 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.102056 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.351892: 1 (35.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.351892 +| | | | | | | BH_LowPeakBPM <= 0.111111: 1 (8.0) +| | | | | | | BH_LowPeakBPM > 0.111111 +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.076277 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.038582 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.247543: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.247543: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.038582: 1 (11.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.076277 +| | | | | | | | | quiet-still- = 0 +| | | | | | | | | | happy-pleased- = 0: 1 (2.0) +| | | | | | | | | | happy-pleased- = 1: 0 (3.0) +| | | | | | | | | quiet-still- = 1: 0 (15.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (13.0/1.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.415002 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.805173 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.034486: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.034486: 0 (42.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.805173: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.415002: 1 (5.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.410181: 0 (147.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.410181 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.095475: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.095475: 0 (13.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.066702 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.491812: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.491812: 1 (8.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.066702: 0 (303.0/3.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.170371 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.197742 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.086724: 0 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.086724: 1 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.197742 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.643657: 1 (83.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.643657 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.416762: 1 (17.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.416762: 0 (6.0) +| | | happy-pleased- = 1 +| | | | BH_HighPeakBPM <= 0.661654: 0 (19.0) +| | | | BH_HighPeakBPM > 0.661654: 1 (3.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (11.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.170371: 0 (17.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.139123: 0 (16.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.139123 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.531428 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.696986 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.154191: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.154191 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.384324 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.221873: 0 (11.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.221873: 1 (9.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.384324 +| | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.927346: 1 (30.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.927346 +| | | | | | | | | relaxing-clam- = 0: 1 (3.0) +| | | | | | | | | relaxing-clam- = 1: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.696986: 0 (7.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.531428: 0 (8.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.868497 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.474006: 0 (108.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.474006 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.113433: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.113433: 0 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.868497 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.320498: 0 (13.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.320498: 1 (6.0) +| | | relaxing-clam- = 1: 1 (4.0/1.0) +| happy-pleased- = 1 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.212478: 0 (127.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.212478 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373: 0 (5.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 1 (2.0) +quiet-still- = 1 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178599: 0 (14.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.178599 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.404122 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081653: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081653 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.405595 +| | | | | | BH_LowPeakAmp <= 0.06301: 1 (65.0) +| | | | | | BH_LowPeakAmp > 0.06301 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.227995: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.227995: 1 (17.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.405595 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.656119: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.656119: 1 (2.0) +| | | happy-pleased- = 1: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.404122: 0 (7.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.15049 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.050479: 0 (21.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.050479 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.233924 +| | | BH_HighPeakBPM <= 0.548872 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.157275: 1 (16.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.157275 +| | | | | BH_LowPeakAmp <= 0.361027 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.387806 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.121154 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.243457 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.237803: 1 (9.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.237803 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.192076 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.352784: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.352784: 1 (5.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.192076: 0 (13.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.243457 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.148866: 1 (48.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.148866 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.299474: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.299474: 1 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.121154: 0 (12.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.387806 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.065699: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.065699: 0 (26.0) +| | | | | BH_LowPeakAmp > 0.361027 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.322782 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.330281: 1 (3.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.330281: 0 (37.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.322782: 1 (3.0) +| | | BH_HighPeakBPM > 0.548872 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515: 1 (56.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (3.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.233924 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.694119: 0 (37.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.694119: 1 (5.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.15049 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.14816 +| | Std_Acc1298_Std_Mem40_Flux <= 0.920943: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.920943: 1 (5.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.14816 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.295795: 0 (150.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.295795 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.433987: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.433987: 0 (14.0/1.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #3 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.283809: 1 (54.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.283809 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.305565: 0 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.305565: 1 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.193843 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.259561: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.259561 +| | | BH_LowPeakBPM <= 0.793651 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.035926: 0 (4.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.035926 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.421635: 1 (36.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.421635: 0 (2.0) +| | | BH_LowPeakBPM > 0.793651: 0 (4.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.193843 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.143859 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.322092: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.322092: 1 (12.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.143859 +| | | quiet-still- = 0 +| | | | BH_LowPeakBPM <= 0.222222 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.58361 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.391525 +| | | | | | | BHSUM1 <= 0.266955 +| | | | | | | | BH_LowPeakBPM <= 0.142857: 1 (4.0) +| | | | | | | | BH_LowPeakBPM > 0.142857: 0 (11.0) +| | | | | | | BHSUM1 > 0.266955: 1 (13.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.391525: 0 (39.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.58361 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.502689: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.502689: 1 (11.0) +| | | | BH_LowPeakBPM > 0.222222 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.169456 +| | | | | | BH_LowPeakBPM <= 0.365079: 0 (6.0) +| | | | | | BH_LowPeakBPM > 0.365079: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.169456 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.539543: 0 (132.0/4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.539543 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557981: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557981: 0 (4.0) +| | | quiet-still- = 1: 0 (125.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.363992 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.270138 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.295436: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.295436: 0 (15.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.270138 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.433199 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.181771 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.149626: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.149626 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.550035: 0 (22.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.550035: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.181771: 1 (11.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.433199 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557352 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.696724 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.145504: 1 (56.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.145504 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.210736: 0 (4.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.210736 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.316121: 1 (26.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.316121: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.696724: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557352 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.4427 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.681785: 0 (16.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.681785 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.08301: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.08301: 1 (9.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.4427: 1 (9.0) +| | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.363992 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.532626: 0 (20.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.532626: 1 (2.0) +| quiet-still- = 1 +| | Std_Acc1298_Std_Mem40_Flux <= 0.888361 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.203059: 0 (12.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.203059: 1 (8.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.888361: 0 (104.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.447112: 0 (102.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.447112 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.437244 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.464785: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.464785 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.438773 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.292411: 1 (4.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.292411: 0 (22.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.438773: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.437244: 0 (24.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.374609: 1 (84.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.374609 +| | | | BHSUM3 <= 0.049143: 0 (10.0) +| | | | BHSUM3 > 0.049143 +| | | | | BHSUM3 <= 0.526409 +| | | | | | BHSUM1 <= 0.159058 +| | | | | | | BH_LowPeakAmp <= 0.018945 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.642218: 1 (33.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.642218: 0 (2.0) +| | | | | | | BH_LowPeakAmp > 0.018945 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.426585 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.147292 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.55755: 0 (6.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.55755: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.147292: 1 (13.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.426585: 0 (17.0) +| | | | | | BHSUM1 > 0.159058 +| | | | | | | BHSUM2 <= 0.00244 +| | | | | | | | BHSUM2 <= 0: 1 (4.0) +| | | | | | | | BHSUM2 > 0: 0 (2.0) +| | | | | | | BHSUM2 > 0.00244: 1 (68.0) +| | | | | BHSUM3 > 0.526409: 0 (9.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942 +| | | quiet-still- = 0: 0 (13.0) +| | | quiet-still- = 1: 1 (2.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.110373: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.110373 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.415002: 0 (56.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.415002 +| | | | happy-pleased- = 0: 0 (2.0) +| | | | happy-pleased- = 1: 1 (4.0) +angry-aggresive- = 1 +| quiet-still- = 0 +| | sad-lonely- = 0: 0 (147.0) +| | sad-lonely- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.547819: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.547819: 1 (2.0) +| quiet-still- = 1: 1 (3.0/1.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.143949 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.20444 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.409224: 0 (15.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.409224: 1 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.20444 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.436554: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.436554: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | | | BH_HighPeakAmp <= 0.117264: 1 (94.0/1.0) +| | | | BH_HighPeakAmp > 0.117264 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.426441: 1 (12.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.426441: 0 (7.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (18.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.143949 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.557478 +| | BH_LowPeakAmp <= 0.021065 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.539398: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.539398: 0 (25.0) +| | BH_LowPeakAmp > 0.021065: 0 (280.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.557478 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.641021 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.362416: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.362416: 0 (11.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.641021: 1 (5.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.123344 +| | | angry-aggresive- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.428103: 1 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.428103: 0 (31.0/2.0) +| | | angry-aggresive- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.182772: 0 (107.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.182772 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.204007: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.204007: 0 (12.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.123344 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.228626: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.228626 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.204762: 0 (14.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.204762 +| | | | | BH_HighPeakAmp <= 0.361813 +| | | | | | BHSUM2 <= 0.29703 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.446291 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.442462 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.395868: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.395868: 1 (16.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.442462: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.446291: 0 (8.0) +| | | | | | BHSUM2 > 0.29703: 0 (16.0) +| | | | | BH_HighPeakAmp > 0.361813: 1 (7.0) +| happy-pleased- = 1: 0 (133.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.549084 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.095636: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.095636 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.069906: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.069906 +| | | | | | BHSUM1 <= 0.274486: 1 (84.0/3.0) +| | | | | | BHSUM1 > 0.274486 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.375001: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.375001: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (6.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.549084: 0 (13.0/1.0) +| happy-pleased- = 1: 0 (8.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.121093 +| Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.552866 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.194919 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.290377 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.246527 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.760202 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.426395: 1 (40.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.426395 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.081927: 0 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.081927: 1 (10.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.760202: 0 (3.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.246527: 0 (15.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.290377: 1 (62.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.194919: 0 (8.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.552866 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.479539: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.479539: 0 (16.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.121093 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.575966 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.128497 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.199413 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.08124: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.08124 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.559408: 1 (19.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.559408: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.199413: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.128497 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.102305 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.158314: 1 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.158314 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.294587: 0 (18.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.294587: 1 (4.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.102305 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.810956 +| | | | | BH_LowPeakBPM <= 0.730159: 0 (225.0) +| | | | | BH_LowPeakBPM > 0.730159 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.382031: 0 (15.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.382031: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.810956 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.305358: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.305358: 0 (9.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.575966 +| | BH_LowPeakBPM <= 0.031746: 0 (4.0) +| | BH_LowPeakBPM > 0.031746: 1 (13.0/1.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #4 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.095517 +| BH_HighPeakBPM <= 0.466165 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.46198: 1 (36.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.46198: 0 (2.0) +| BH_HighPeakBPM > 0.466165: 0 (4.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.095517 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194223 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.829167 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.400994 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.166442 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.119115: 1 (8.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.119115: 0 (9.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.166442 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.364725: 1 (42.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.364725 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.297967: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.297967: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.400994 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.405975: 0 (18.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.405975: 1 (8.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.829167: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.194223 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.753977 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.223955 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.372853: 0 (11.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.372853 +| | | | | BH_LowPeakBPM <= 0.52381: 1 (7.0) +| | | | | BH_LowPeakBPM > 0.52381: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.223955 +| | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.504755 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.189811 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.408644: 0 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.408644: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.189811 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.267981 +| | | | | | | BHSUM2 <= 0.127063 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.498937: 0 (6.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.498937: 1 (5.0) +| | | | | | | BHSUM2 > 0.127063: 0 (22.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.267981: 0 (96.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.504755: 0 (139.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.753977 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.327734: 0 (13.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.327734 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.261102: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.261102 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.270821: 1 (22.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.270821: 0 (2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.614183 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.103044: 0 (24.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.103044 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.84084 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.214329 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.505404: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.505404: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.214329: 1 (19.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.84084 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.254326 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.273736 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.066671 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.332239: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.332239: 0 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.066671: 0 (26.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.273736 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.541101 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.414115 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.478309 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.140202 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.601899 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.089192: 1 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.089192 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.442281: 0 (25.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.442281: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.601899: 1 (7.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.140202 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.347842 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.440309: 0 (7.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.440309: 1 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.347842 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.053396 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.341726: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.341726: 0 (4.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.053396 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.228468 +| | | | | | | | | | | | | BH_HighPeakAmp <= 0.30389: 1 (70.0/1.0) +| | | | | | | | | | | | | BH_HighPeakAmp > 0.30389 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.711746: 0 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.711746: 1 (2.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.228468 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.211957: 0 (4.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.211957: 1 (7.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.478309: 0 (8.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.414115 +| | | | | | | | BHSUM1 <= 0.054897: 1 (5.0/1.0) +| | | | | | | | BHSUM1 > 0.054897 +| | | | | | | | | BH_HighPeakAmp <= 0.309826: 0 (30.0) +| | | | | | | | | BH_HighPeakAmp > 0.309826: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.541101: 0 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.254326: 0 (25.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.614183: 0 (34.0) +sad-lonely- = 1: 0 (151.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.174061: 0 (17.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.174061 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.117655 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.141606 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.076123: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.076123: 0 (8.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.141606 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.16829 +| | | | | | sad-lonely- = 0: 1 (2.0) +| | | | | | sad-lonely- = 1: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.16829 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.267091 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.724971 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.533854 +| | | | | | | | | BH_HighPeakAmp <= 0 +| | | | | | | | | | BH_LowPeakBPM <= 0.285714: 0 (2.0) +| | | | | | | | | | BH_LowPeakBPM > 0.285714 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.938496: 1 (18.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.938496: 0 (2.0) +| | | | | | | | | BH_HighPeakAmp > 0: 1 (85.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.533854 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.572874: 1 (11.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.572874: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.724971 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.316826: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.316826: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.267091 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.188101: 1 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.188101 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.281078: 0 (14.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.281078: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.117655: 1 (82.0/2.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.396642: 0 (65.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_5 > 0.396642 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.332402: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.332402: 0 (3.0) +angry-aggresive- = 1 +| BH_HighPeakBPM <= 0.721805: 0 (133.0/1.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.277977: 0 (4.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.277977: 1 (3.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.137331 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | happy-pleased- = 0 +| | | amazed-suprised- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.45037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.477599: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.477599: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.45037: 1 (111.0/4.0) +| | | amazed-suprised- = 1: 0 (5.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.282428: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.282428: 0 (23.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (26.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.137331 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.435987 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.242282: 0 (244.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.242282 +| | | BHSUM3 <= 0.063282: 1 (3.0) +| | | BHSUM3 > 0.063282 +| | | | Std_Acc1298_Std_Mem40_Flux <= 0.932485: 0 (47.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Flux > 0.932485: 1 (3.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.435987 +| | Std_Acc1298_Mean_Mem40_Centroid <= 0.113631: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_Centroid > 0.113631: 1 (11.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.369604 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.27948: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.27948 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.5624 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.469335 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.32813 +| | | | | | | BHSUM3 <= 0.080549: 0 (3.0) +| | | | | | | BHSUM3 > 0.080549: 1 (14.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.32813: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.469335: 1 (31.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.5624: 0 (8.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.369604: 1 (42.0) +| amazed-suprised- = 1: 0 (8.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.232022: 0 (151.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_5 > 0.232022 +| | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.904534 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.433078 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.203778 +| | | | | amazed-suprised- = 0 +| | | | | | BH_LowPeakBPM <= 0.174603: 0 (16.0) +| | | | | | BH_LowPeakBPM > 0.174603 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.197722 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.592975 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.214794: 1 (7.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.214794 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.650743 +| | | | | | | | | | | BHSUM1 <= 0.647661 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.192116 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.379098 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.40699: 1 (4.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.40699: 0 (2.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.379098 +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.483605: 0 (34.0) +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.483605 +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.486689: 0 (2.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.486689: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.192116: 1 (3.0) +| | | | | | | | | | | BHSUM1 > 0.647661: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.650743: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.592975: 1 (12.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.197722: 1 (14.0) +| | | | | amazed-suprised- = 1 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.068933: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.068933: 0 (36.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.203778: 0 (27.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.433078: 0 (37.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.904534: 1 (11.0/1.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.178071 +| happy-pleased- = 0 +| | quiet-still- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.756032 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.284701 +| | | | | | amazed-suprised- = 0: 1 (2.0) +| | | | | | amazed-suprised- = 1 +| | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.316024: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.316024: 0 (8.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.284701 +| | | | | | BHSUM1 <= 0.293689: 1 (66.0) +| | | | | | BHSUM1 > 0.293689 +| | | | | | | BHSUM1 <= 0.311388: 0 (3.0) +| | | | | | | BHSUM1 > 0.311388 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.804806 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.574664: 1 (33.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.574664 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.500503: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.500503: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.804806: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.756032 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.482434: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.482434: 0 (8.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.006142: 1 (8.0) +| | | | BH_HighPeakAmp > 0.006142 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.32909: 1 (3.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.32909: 0 (16.0) +| | quiet-still- = 1: 0 (13.0) +| happy-pleased- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.081718 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.46132: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.46132: 0 (8.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.081718: 0 (43.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.178071 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.164508 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.109627: 1 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.109627 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.578563: 0 (13.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.578563: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.164508: 0 (238.0/4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #5 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.147491 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.262223 +| | BH_HighPeakAmp <= 0.020741: 0 (4.0/1.0) +| | BH_HighPeakAmp > 0.020741: 1 (46.0/2.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.262223: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_5 > 0.147491 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.079769 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.154782 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.30414: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.30414: 1 (22.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.154782: 0 (4.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.079769 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.807595 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194402 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.283223: 0 (18.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.283223 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.573073 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.399481 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.139611: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.139611: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.399481: 1 (15.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.573073: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.194402 +| | | | quiet-still- = 0 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.321353 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.234843 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.670198 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.653148: 0 (40.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.653148: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.670198: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.234843: 0 (137.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.321353 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.215493: 1 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.215493 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.742526: 0 (17.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.742526: 1 (3.0) +| | | | quiet-still- = 1: 0 (123.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.807595 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.198083 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.181922: 0 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.181922: 1 (19.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.198083: 0 (9.0/1.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Centroid <= 0.106705: 0 (35.0) +Mean_Acc1298_Mean_Mem40_Centroid > 0.106705 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.074951: 0 (46.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.074951 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.275288 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.218037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.268279: 0 (23.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.268279 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.146806: 0 (23.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.146806 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.336321 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.094251 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.415951: 1 (12.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.415951: 0 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.094251 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.246089: 0 (25.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.246089 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.322359: 1 (9.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.322359 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.384134 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.337075: 1 (7.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.337075 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.524656 +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.06397 +| | | | | | | | | | | | | | | BHSUM1 <= 0.318752: 1 (17.0/1.0) +| | | | | | | | | | | | | | | BHSUM1 > 0.318752: 0 (4.0) +| | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.06397 +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.166725 +| | | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.296584 +| | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.084356: 1 (5.0) +| | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.084356 +| | | | | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.097886: 1 (4.0) +| | | | | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.097886 +| | | | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.29877: 0 (25.0/1.0) +| | | | | | | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.29877 +| | | | | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.094874: 0 (2.0) +| | | | | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.094874: 1 (4.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.296584: 1 (5.0) +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.166725: 0 (32.0/1.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.524656: 1 (6.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.384134: 0 (17.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.336321: 0 (17.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.218037 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.649467: 1 (16.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.649467: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.275288 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.679223 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.088181: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.088181: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.364235: 1 (36.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.364235 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.437941: 1 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.437941: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.679223: 0 (10.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.405327 +| | | | BH_HighPeakBPM <= 0.210526 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.465351: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.465351: 0 (10.0/1.0) +| | | | BH_HighPeakBPM > 0.210526: 0 (54.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.405327 +| | | | BH_HighPeakAmp <= 0.094972 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.809573: 0 (16.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.809573: 1 (2.0) +| | | | BH_HighPeakAmp > 0.094972: 1 (7.0) + +Number of Leaves : 35 + +Size of the tree : 69 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.084987: 0 (35.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.084987 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759494 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.118101 +| | | | happy-pleased- = 0 +| | | | | sad-lonely- = 0: 0 (28.0) +| | | | | sad-lonely- = 1: 1 (2.0) +| | | | happy-pleased- = 1: 1 (8.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.118101 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.171222: 1 (9.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.171222 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.369251: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.369251: 0 (19.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.850346 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.08164 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.265184: 0 (8.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.265184: 1 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.08164 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.459001 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.545791: 1 (185.0/5.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.545791 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.283217: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.283217: 1 (10.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.459001 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.517647: 0 (7.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.517647: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.850346 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.458363: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.458363: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759494 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.376511: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.376511: 0 (23.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.250064: 0 (108.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.250064 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.325644: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.325644: 0 (14.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.118518 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | happy-pleased- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.091182 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.690951: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.690951: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.091182: 1 (104.0/1.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.504469: 0 (13.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.504469: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (24.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.118518 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.401023 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.11524: 0 (9.0/1.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.11524: 1 (11.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.401023 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.232299 +| | | BH_LowPeakAmp <= 0.021065 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.578041: 0 (35.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.578041: 1 (5.0) +| | | BH_LowPeakAmp > 0.021065: 0 (260.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.232299 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.400977: 1 (7.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.400977: 0 (15.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.299243 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.584559 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.478405 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.369211: 0 (54.0/3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.369211 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.374734: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.374734: 0 (9.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.478405 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.352265: 0 (11.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.352265 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.134224: 0 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.134224 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.566164 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.243466 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.045649: 1 (3.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.045649: 0 (7.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.243466: 1 (24.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.566164: 0 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.584559: 1 (12.0/1.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.299243 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.128254: 0 (68.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.128254 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.406135 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.455339: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.455339: 0 (15.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.406135: 1 (2.0) +| happy-pleased- = 1: 0 (137.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.106099: 0 (14.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.106099 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.54545 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.215493: 0 (9.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.215493 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.354494: 1 (67.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.354494 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.388614: 0 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.388614 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.069906: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.069906: 1 (15.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515: 0 (5.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.54545: 0 (11.0/1.0) +| happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.119543 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_Flux <= 0.814008: 0 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.814008 +| | | sad-lonely- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.106267 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.378176: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.378176 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.252225: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.252225: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.106267: 1 (87.0/2.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.470117: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.470117: 0 (7.0/1.0) +| happy-pleased- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.516707: 0 (21.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_0 > 0.516707: 1 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.119543 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.138465 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.255761 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.882902 +| | | | BH_HighPeakBPM <= 0.684211 +| | | | | relaxing-clam- = 0 +| | | | | | BHSUM1 <= 0.067087: 1 (5.0) +| | | | | | BHSUM1 > 0.067087 +| | | | | | | BH_HighPeakAmp <= 0.003617 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.742495: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.742495: 1 (3.0) +| | | | | | | BH_HighPeakAmp > 0.003617: 0 (26.0/1.0) +| | | | | relaxing-clam- = 1: 0 (38.0) +| | | | BH_HighPeakBPM > 0.684211: 1 (7.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.882902: 1 (9.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.255761: 1 (9.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.138465 +| | relaxing-clam- = 0 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.616456 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.057038: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.057038 +| | | | | | BHSUM3 <= 0.117945: 1 (3.0/1.0) +| | | | | | BHSUM3 > 0.117945: 0 (30.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.616456: 1 (3.0) +| | | quiet-still- = 1: 0 (34.0) +| | relaxing-clam- = 1: 0 (177.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #6 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.009431: 0 (9.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.009431 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.068934: 1 (40.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.068934 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.069062 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.185074: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.185074: 0 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.069062 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.688956 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.418787 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.10335: 1 (14.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.10335 +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.220639 +| | | | | | | | | BH_HighPeakBPM <= 0.105263: 1 (4.0) +| | | | | | | | | BH_HighPeakBPM > 0.105263 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.380412: 0 (18.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.380412: 1 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.220639: 1 (7.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.418787: 1 (36.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.688956: 0 (5.0) +| quiet-still- = 1: 0 (8.0) +Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.066703 +| | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.204762: 0 (3.0) +| | Std_Acc1298_Std_Mem40_MFCC_3 > 0.204762: 1 (14.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.066703 +| | sad-lonely- = 0 +| | | quiet-still- = 0 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.636224 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.35428 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.743176 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.383851 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.804038 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.210574 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.49411: 0 (15.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.49411: 1 (5.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.210574: 0 (61.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.804038 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.86923: 1 (10.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.86923: 0 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.383851: 1 (5.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.743176: 1 (9.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.35428: 0 (44.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.636224 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.554375: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.554375: 1 (10.0) +| | | quiet-still- = 1: 0 (28.0) +| | sad-lonely- = 1: 0 (119.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.250873 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.354895 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.595022 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.096174: 0 (6.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.096174 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.379195 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.116532: 1 (7.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.116532: 0 (8.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.379195 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.064812 +| | | | | | | | | BH_LowPeakBPM <= 0.253968: 0 (4.0) +| | | | | | | | | BH_LowPeakBPM > 0.253968: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.064812: 1 (85.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.595022: 0 (7.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.354895 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.295398: 0 (14.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.295398: 1 (6.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.250873: 0 (10.0/1.0) +| | quiet-still- = 1 +| | | BH_HighPeakAmp <= 0.038984: 0 (27.0/1.0) +| | | BH_HighPeakAmp > 0.038984: 1 (4.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.312025 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.411893: 0 (126.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.411893 +| | | | BH_HighPeakBPM <= 0.691729: 0 (36.0/1.0) +| | | | BH_HighPeakBPM > 0.691729: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.312025 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.544424: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.544424: 1 (4.0) +sad-lonely- = 1: 0 (135.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.13393 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.198495: 0 (140.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.198495 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.658041: 1 (4.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.658041: 0 (7.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.13393 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.23659: 0 (45.0/2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.23659 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.198707 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.327038: 0 (16.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.327038: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.198707 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.250892: 1 (50.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.250892 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.680508 +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.088329 +| | | | | | | sad-lonely- = 0: 1 (2.0) +| | | | | | | sad-lonely- = 1: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.088329 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.178978 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.353008 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.148269: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.148269: 0 (15.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.353008: 1 (10.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.178978 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.426365 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.311468: 1 (72.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.311468 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.311009 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.213105: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.213105: 1 (28.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.311009: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.426365 +| | | | | | | | | BH_HighPeakAmp <= 0.095854 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.054325: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.054325: 1 (13.0) +| | | | | | | | | BH_HighPeakAmp > 0.095854: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.680508 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.614567: 0 (11.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.614567: 1 (4.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.059895: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.059895 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.269648 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.492025: 0 (35.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.492025 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.341491: 1 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.341491: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.269648: 1 (4.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.143949 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.174013 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.143314: 0 (11.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.143314 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.13079: 0 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.13079 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.67596 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.328087 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.70408 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.204473: 1 (22.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.204473: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.70408: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.328087: 1 (64.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.67596 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.296292: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.296292: 0 (10.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.174013: 0 (33.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.143949 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.557478: 0 (315.0/5.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.557478 +| | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.394163: 0 (8.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.394163: 1 (9.0/1.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.198187: 0 (91.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.198187 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.179849 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.555691 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.43565: 1 (9.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.43565 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.074909: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.074909 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.904534: 0 (23.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.904534: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.555691: 1 (11.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.179849 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.81913 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.235891: 0 (86.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.235891 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.171347 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.236247: 1 (9.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.236247: 0 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.171347 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.388463 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.400666: 0 (24.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.400666 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.363421 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.33828 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.362582: 1 (17.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.362582: 0 (2.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.33828: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.363421 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.399125: 0 (20.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.399125: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.388463: 0 (65.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.81913 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.579396: 1 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.579396: 0 (5.0) +quiet-still- = 1 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.09677 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.143795 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.044063 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.150112: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.150112: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.044063: 1 (51.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.143795: 0 (4.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.09677 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.219612: 1 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.219612 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.288658: 0 (14.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.288658 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.34761: 1 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.34761: 0 (5.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.130044 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.352371 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.324417 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.246089 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.596907: 1 (55.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.596907 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.214892: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.214892: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.246089 +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.360392 +| | | | | | BH_LowPeakBPM <= 0.253968: 0 (21.0/1.0) +| | | | | | BH_LowPeakBPM > 0.253968 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.101212: 1 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.101212: 0 (6.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.360392: 1 (7.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.324417: 0 (13.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.352371 +| | | BH_LowPeakAmp <= 0.4068: 1 (91.0/1.0) +| | | BH_LowPeakAmp > 0.4068 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.499981: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.499981: 1 (8.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.130044 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.553061: 0 (61.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.553061: 1 (8.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.57853: 0 (189.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.57853 +| | BH_HighPeakAmp <= 0.026653: 1 (6.0) +| | BH_HighPeakAmp > 0.026653: 0 (5.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #7 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077783 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.103109: 0 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.103109 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.299209 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.838488 +| | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.063902: 1 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.063902: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.838488: 1 (51.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.299209: 0 (4.0/1.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.077783 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.187917 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.051196: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.051196 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.554976: 1 (32.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.554976: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.187917 +| | quiet-still- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.298875 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.204145: 0 (13.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.204145 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.348934 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.242578 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.463524 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.056745: 0 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.056745: 1 (22.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.463524: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.242578 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.531186 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.485055: 0 (31.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.485055: 1 (3.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.531186: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.348934: 1 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.298875 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.136645 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.121453: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.121453: 1 (7.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.136645 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.200016 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.489556: 1 (8.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.489556: 0 (6.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.200016 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.707683: 0 (124.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.707683 +| | | | | | | BHSUM3 <= 0.109909: 1 (4.0) +| | | | | | | BHSUM3 > 0.109909: 0 (10.0) +| | quiet-still- = 1: 0 (133.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.361774 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.088546: 0 (53.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.088546 +| | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.470348 +| | | | BH_HighPeakBPM <= 0.120301: 0 (28.0) +| | | | BH_HighPeakBPM > 0.120301 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.640916 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.319365 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.678127 +| | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.84341 +| | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.072218: 0 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.072218: 1 (17.0) +| | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.84341 +| | | | | | | | | BH_HighPeakBPM <= 0.150376: 1 (8.0/1.0) +| | | | | | | | | BH_HighPeakBPM > 0.150376 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.138701: 0 (16.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.138701 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.113424 +| | | | | | | | | | | | amazed-suprised- = 0: 1 (10.0) +| | | | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.225869: 1 (8.0/1.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.225869: 0 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.113424 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.615945 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.583585 +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.504558 +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.10284 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.638742: 1 (6.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.638742: 0 (2.0) +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.10284 +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.351745 +| | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.445744: 0 (3.0) +| | | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.445744: 1 (4.0) +| | | | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.351745: 0 (30.0/1.0) +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.504558: 1 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.583585: 1 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.615945 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.120726: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.120726: 0 (37.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.678127: 1 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.319365: 0 (34.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.640916: 0 (27.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.470348 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.163471: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.163471: 1 (12.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.361774 +| | BH_LowPeakBPM <= 0.460317: 1 (24.0) +| | BH_LowPeakBPM > 0.460317 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.804806: 0 (5.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.804806: 1 (2.0) +quiet-still- = 1 +| BHSUM2 <= 0.211311: 0 (121.0/1.0) +| BHSUM2 > 0.211311 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.100745: 0 (9.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.100745: 1 (3.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.081151 +| Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.35428: 0 (124.0) +| Mean_Acc1298_Std_Mem40_MFCC_8 > 0.35428 +| | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.478235: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.478235: 1 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.081151 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.780447 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.722905 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.108906: 0 (16.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.108906 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.036224 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.315412: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.315412: 0 (10.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.036224 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.336041: 1 (60.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.336041 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.414278 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.637227 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.137076 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.148174: 1 (8.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.148174: 0 (9.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.137076 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.267384 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.15888 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.073783: 0 (3.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.073783: 1 (3.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.15888 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.164553 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.082685: 1 (9.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.082685: 0 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.164553: 1 (84.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.267384 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.421271 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.494029: 1 (6.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.494029: 0 (7.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.421271: 1 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.637227 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.184448: 1 (10.0/1.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.184448 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.404959: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.404959: 0 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.414278: 0 (13.0/1.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.479597 +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.086242: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.086242: 0 (24.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.479597: 1 (7.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.722905: 0 (18.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.780447: 0 (38.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14619 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | BH_HighPeakAmp <= 0.044178 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.201072 +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.161374: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.161374: 0 (12.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.201072 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.186887 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.112549: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.112549: 0 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.186887: 1 (105.0) +| | BH_HighPeakAmp > 0.044178 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.294423: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.294423 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.543654: 0 (23.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.543654 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.314586: 0 (7.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.314586: 1 (6.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (22.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.14619 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.180312 +| | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.67305 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.666164: 0 (34.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.666164: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.67305: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.180312: 0 (257.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.327673 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.325447 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.121649: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.121649 +| | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.037693: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_Flux > 0.037693: 1 (24.0/2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.325447 +| | | | amazed-suprised- = 0 +| | | | | BH_HighPeakAmp <= 0.476671 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.412802 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.873161 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.04197: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.04197 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.703326: 0 (41.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.703326 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.264461: 1 (3.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.264461: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.873161: 1 (8.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.412802: 1 (9.0/1.0) +| | | | | BH_HighPeakAmp > 0.476671: 1 (6.0) +| | | | amazed-suprised- = 1: 0 (37.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.327673: 0 (101.0/2.0) +| happy-pleased- = 1: 0 (114.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178329: 0 (13.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178329 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.405041 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.227995 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.144257: 0 (8.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.144257: 1 (6.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.227995 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.799575 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.22185: 1 (85.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.22185 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.122165: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.122165: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.799575: 0 (6.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.405041: 0 (6.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.249621: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.249621 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.242975 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.425965 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.058347: 1 (37.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.058347 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.202822: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.202822 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.057297: 0 (6.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.057297 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.451835 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.088281: 1 (42.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.088281 +| | | | | | | | | | | BH_LowPeakBPM <= 0.238095 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.382095: 1 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.382095: 0 (5.0) +| | | | | | | | | | | BH_LowPeakBPM > 0.238095: 1 (12.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.451835 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.25745: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.25745: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.425965: 1 (48.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.242975 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.471402: 0 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.471402: 1 (6.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.512601 +| | | | BH_HighPeakBPM <= 0.360902: 0 (31.0) +| | | | BH_HighPeakBPM > 0.360902 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.163963 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.208137: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.208137: 1 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.163963: 0 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.512601: 1 (3.0) +| quiet-still- = 1 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.027364: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.027364: 0 (43.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.164162 +| | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.546885 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.072883: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.072883: 0 (35.0) +| | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.546885: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.164162: 0 (166.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #8 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.08273 +| Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.213636: 1 (33.0) +| Std_Acc1298_Mean_Mem40_MFCC_6 > 0.213636: 0 (2.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.08273 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.077771 +| | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.087275: 0 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.087275 +| | | BHSUM3 <= 0.173169: 0 (3.0) +| | | BHSUM3 > 0.173169: 1 (24.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.077771 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194223 +| | | quiet-still- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.554597: 1 (20.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.554597 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.216426: 0 (20.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.216426 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.153154: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.153154: 1 (14.0/1.0) +| | | quiet-still- = 1: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.194223 +| | | quiet-still- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.318416 +| | | | | BH_HighPeakBPM <= 0.593985 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.376531: 1 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.376531: 0 (18.0/1.0) +| | | | | BH_HighPeakBPM > 0.593985: 1 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.318416 +| | | | | BH_LowPeakBPM <= 0.095238 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.451012: 0 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.451012 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.526107: 1 (10.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.526107: 0 (3.0) +| | | | | BH_LowPeakBPM > 0.095238 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.242515 +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.192847 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.405041: 0 (15.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.405041: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.192847: 0 (156.0/2.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.242515 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.668506: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.668506: 1 (4.0) +| | | quiet-still- = 1: 0 (118.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.062127: 0 (14.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.062127 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.209598: 0 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.209598 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.130073: 1 (34.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.130073 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.595575 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.245557 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.326404 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.173252 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.653049 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.345509 +| | | | | | | | | | | BHSUM2 <= 0.074079: 1 (2.0) +| | | | | | | | | | | BHSUM2 > 0.074079: 0 (7.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.345509 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.116981: 0 (6.0/2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.116981 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.925734 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.362582: 1 (53.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.362582 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.578144: 1 (5.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.578144: 0 (3.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.925734 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.147569: 1 (3.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.147569: 0 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.653049 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.454178: 0 (8.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.454178: 1 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.173252 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.269008: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.269008: 0 (13.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.326404: 0 (11.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.245557: 1 (13.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.595575 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.231974: 0 (23.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.231974: 1 (2.0) +| quiet-still- = 1 +| | BHSUM2 <= 0.309466 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.227826 +| | | | BH_LowPeakBPM <= 0.285714: 1 (5.0) +| | | | BH_LowPeakBPM > 0.285714: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.227826 +| | | | Std_Acc1298_Std_Mem40_Flux <= 0.888492 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.506955: 0 (8.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.506955: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_Flux > 0.888492: 0 (90.0) +| | BHSUM2 > 0.309466 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.232065: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.232065: 1 (5.0) +angry-aggresive- = 1: 0 (152.0/4.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.186887 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.135905: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.135905: 0 (10.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.186887 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032249 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.368869 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.104363: 0 (5.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.104363: 1 (18.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.368869: 0 (12.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032249 +| | | | BHSUM3 <= 0.525943 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.645783 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.361179 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071943: 1 (55.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071943 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.780237 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.399167 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.062231: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.062231 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.06487 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.354487: 1 (5.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.354487: 0 (2.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.06487: 1 (46.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.399167: 0 (5.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.780237: 0 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.361179: 1 (81.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.645783 +| | | | | | BH_HighPeakAmp <= 0.005291: 0 (6.0) +| | | | | | BH_HighPeakAmp > 0.005291: 1 (7.0) +| | | | BHSUM3 > 0.525943 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.611729: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.611729: 0 (8.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.408502: 0 (56.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.408502: 1 (7.0) +angry-aggresive- = 1 +| Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.263164 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.122856: 0 (9.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.122856: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.263164: 0 (139.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.443173 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.18226: 0 (266.0/3.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.18226 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.556538: 0 (20.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.556538: 1 (9.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.443173 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.171053 +| | BH_HighPeakAmp <= 0.055924 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.219049 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.307368: 0 (18.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.307368: 1 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.219049 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.184077 +| | | | | BH_LowPeakAmp <= 0.075693: 1 (84.0) +| | | | | BH_LowPeakAmp > 0.075693 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.124814: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.124814: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.184077: 0 (5.0/2.0) +| | BH_HighPeakAmp > 0.055924 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.232065 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.051395: 0 (4.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.051395: 1 (9.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.232065: 0 (38.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.171053: 0 (23.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.077081 +| happy-pleased- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.099462 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.60295: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.60295: 1 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.099462: 1 (53.0/1.0) +| happy-pleased- = 1: 0 (4.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.077081 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | angry-aggresive- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.583168 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.859047 +| | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.837355: 1 (6.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_Flux > 0.837355 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.165309: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.165309 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.5474: 0 (50.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.5474 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.444923: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.444923: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.859047: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.583168 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.615393: 1 (16.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.615393: 0 (3.0) +| | | angry-aggresive- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.399306 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.430082 +| | | | | | BH_HighPeakBPM <= 0.75188: 0 (30.0/1.0) +| | | | | | BH_HighPeakBPM > 0.75188: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.430082: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.399306: 0 (107.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.227521 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.538051: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.538051: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.227521: 0 (115.0) +| quiet-still- = 1 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.222271: 0 (10.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.222271 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.624402 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.26257: 1 (17.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.26257 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.477365 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.614573 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.251553: 0 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.251553: 1 (15.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.614573: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.477365: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.624402: 0 (8.0) +| | happy-pleased- = 1: 0 (13.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.173138 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.176012 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.32359 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.139365: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.139365: 0 (9.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.32359 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.19304 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.256227 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.041661: 1 (17.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.041661 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.433263 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.547203 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.104018 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.386292: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.386292 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.74454: 0 (24.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.74454: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.104018 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.135095: 1 (15.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.135095: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.547203: 1 (9.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.433263: 1 (13.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.256227: 1 (54.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.19304 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.586563: 0 (10.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.586563: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.176012 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517105: 0 (27.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517105: 1 (7.0/1.0) +| quiet-still- = 1: 0 (15.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.173138 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.094073 +| | BH_LowPeakBPM <= 0.142857: 0 (7.0) +| | BH_LowPeakBPM > 0.142857 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.089802: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.089802: 1 (15.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.094073 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.65077 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.400913: 0 (200.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.400913 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.216215: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.216215 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.0489: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.0489: 0 (37.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.65077 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.377164: 1 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.377164: 0 (7.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #9 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.176389 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.714529: 1 (52.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.714529: 0 (4.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.176389: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14846 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.123957 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.336266: 1 (5.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.336266: 0 (6.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.123957: 0 (170.0/3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.14846 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.338679 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.509501 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.550761 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.306664 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.197706 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.303664 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.48095 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.256041: 0 (7.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.256041 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.391461: 1 (24.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.391461: 0 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.48095: 0 (6.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.303664: 0 (12.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.197706: 1 (31.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.306664: 0 (12.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.550761 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.156981: 0 (27.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.156981 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.165361 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.163262: 0 (10.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.163262: 1 (3.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.165361: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.509501: 1 (9.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.338679 +| | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.455344 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.444002: 0 (73.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.444002 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.393768: 1 (4.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.393768: 0 (13.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.455344 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.421538: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.421538: 0 (4.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.241935: 0 (13.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.241935 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.666069 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.483521 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.559905 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.235776: 0 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.235776: 1 (13.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679: 1 (94.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.559905 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.087942: 0 (6.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.087942 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.632432 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.450154: 0 (8.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.450154: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.632432: 1 (19.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.483521 +| | | | | | BH_LowPeakBPM <= 0.269841: 1 (5.0) +| | | | | | BH_LowPeakBPM > 0.269841 +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.134986: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.134986: 0 (9.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.666069 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.572476: 0 (13.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.572476: 1 (2.0) +| | quiet-still- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.46867: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.46867 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.108502: 1 (3.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.108502: 0 (25.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.201413 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.075705: 1 (6.0/2.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.075705: 0 (100.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.201413 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.672645 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.285605: 1 (9.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.285605: 0 (3.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.672645: 0 (8.0) +sad-lonely- = 1: 0 (143.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.130755 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.216983: 0 (122.0/3.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.216983 +| | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.514616: 1 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.514616: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.130755 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.726286 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.095025 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.825112: 0 (11.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.825112: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.095025 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.543939 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.873264 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.582614 +| | | | | | | BH_HighPeakBPM <= 0.090226 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.148628: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.148628: 1 (6.0) +| | | | | | | BH_HighPeakBPM > 0.090226 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.402731: 1 (95.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.402731 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.137796: 0 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.137796 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.262885 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.127813: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.127813: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.262885: 1 (52.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.582614 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.272679: 0 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.272679 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.632344 +| | | | | | | | | BHSUM1 <= 0.039677: 0 (3.0) +| | | | | | | | | BHSUM1 > 0.039677 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.52388: 1 (32.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.52388: 0 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.632344: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.873264 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.139603: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.139603: 0 (10.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.543939 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.395131: 1 (9.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.395131: 0 (17.0/1.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.152732: 1 (6.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.152732 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.275266 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.400809 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.411198: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.411198: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.400809: 0 (22.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.275266: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.726286 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.223632: 0 (47.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.223632 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.166122: 0 (6.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.166122: 1 (6.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.114412 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.206195 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.45695: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.45695 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.148455 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.117947: 0 (8.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.117947: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.148455 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.426594: 1 (91.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.426594 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.039516: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.039516: 1 (11.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.206195: 0 (9.0) +| amazed-suprised- = 1: 0 (10.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.114412 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.394889 +| | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.728857 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.081719: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.081719: 1 (16.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.728857: 0 (5.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.394889 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.225639: 0 (300.0/2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.225639 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.277042: 1 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.277042: 0 (16.0) + +Number of Leaves : 14 + +Size of the tree : 27 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.510856 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.103168 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.309628: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.309628: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.103168 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.416546 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.103638 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.158771: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.158771: 1 (13.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.103638: 1 (79.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.416546 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.328087: 0 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.328087: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.510856: 0 (7.0) +| amazed-suprised- = 1: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.286978 +| | BHSUM2 <= 0.010258 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.174329: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.174329: 0 (5.0) +| | BHSUM2 > 0.010258: 0 (131.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.286978 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.502771 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.048568 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.36085: 1 (7.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.36085: 0 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.048568 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.387461 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.508874: 0 (90.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.508874 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.493248 +| | | | | | | BHSUM2 <= 0.161277: 1 (9.0/1.0) +| | | | | | | BHSUM2 > 0.161277 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.651919: 0 (11.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.651919: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.493248: 0 (27.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.387461 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.374863: 1 (8.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.374863 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.145528: 0 (20.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.145528 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.459593: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.459593: 0 (15.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.502771 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.545184: 1 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.545184: 0 (13.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.471353 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.049708 +| | | | BH_HighPeakAmp <= 0.220196: 1 (25.0) +| | | | BH_HighPeakAmp > 0.220196: 0 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.049708 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.041661: 1 (12.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.041661 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.666069 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.204528 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.210326: 0 (31.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.210326 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.203326: 1 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.203326: 0 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.204528 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.152758 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.221337: 1 (21.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.221337: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.152758 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.126408: 1 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.126408 +| | | | | | | | | BHSUM2 <= 0.028147: 1 (6.0/1.0) +| | | | | | | | | BHSUM2 > 0.028147 +| | | | | | | | | | BHSUM1 <= 0.140254 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.362047: 0 (12.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.362047: 1 (4.0) +| | | | | | | | | | BHSUM1 > 0.140254: 0 (27.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.666069: 1 (7.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.471353: 1 (55.0/1.0) +| quiet-still- = 1: 0 (36.0/1.0) +relaxing-clam- = 1: 0 (228.0/1.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multitarget.meta.BaggingMT: Model #10 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.093526 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.673213 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.260361 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.289807: 1 (12.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.289807: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.260361: 1 (49.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.325008: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.325008: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.673213: 0 (4.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.093526 +| relaxing-clam- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.141306: 0 (48.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.141306 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.575221 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.578225 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.586563 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.3203 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.149072 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.090185: 1 (5.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.090185 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.545872 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.255749 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.3071 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.200242: 0 (21.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.200242: 1 (2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.3071 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.206158: 1 (9.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.206158: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.255749: 0 (17.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.545872: 1 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.149072: 1 (20.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.3203 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.312107: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.312107: 0 (27.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.586563: 1 (8.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.578225: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.575221: 0 (23.0) +| relaxing-clam- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.230649 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.339397: 0 (27.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.339397 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.243435: 1 (8.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.243435: 0 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.230649: 0 (174.0/2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.216321: 0 (18.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.216321 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.318037 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.684527 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.265201 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.211848: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.211848 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.310313: 0 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.310313: 1 (56.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.265201 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.606749 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.377745 +| | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.839664: 1 (3.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.839664 +| | | | | | | | | | relaxing-clam- = 0 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.275346: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.275346: 1 (3.0) +| | | | | | | | | | relaxing-clam- = 1: 0 (21.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.377745: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.606749: 1 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.684527: 1 (52.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.318037 +| | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.155962: 1 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.155962 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.639944: 0 (27.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.639944: 1 (5.0/1.0) +| angry-aggresive- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.369314: 0 (134.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.369314 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.572414: 1 (7.0/1.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.572414: 0 (9.0) +sad-lonely- = 1: 0 (122.0/1.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.194402 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.622447: 0 (62.0/2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.622447: 1 (6.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.194402 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.025491: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.025491 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.253701: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.253701: 0 (21.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.066703: 0 (13.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.066703 +| | | | BHSUM3 <= 0.452403 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.624883 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.371091 +| | | | | | | BHSUM2 <= 0.04572 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.320999: 0 (4.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.320999 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.213699: 1 (16.0/1.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.213699: 0 (2.0) +| | | | | | | BHSUM2 > 0.04572 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.333367: 1 (75.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.333367 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.231631: 1 (16.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.231631: 0 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.371091: 1 (77.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.624883 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.279517: 1 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.279517: 0 (9.0/1.0) +| | | | BHSUM3 > 0.452403 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.374899: 1 (8.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.374899: 0 (8.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_Flux <= 0.935665: 0 (148.0) +| Std_Acc1298_Std_Mem40_Flux > 0.935665 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.310127: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.310127: 0 (6.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.137331 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.369211 +| | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.161585 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.122297: 0 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.122297: 1 (18.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.161585: 0 (5.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.369211: 1 (78.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (11.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.240039: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.240039: 0 (26.0) +| amazed-suprised- = 1: 0 (14.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.137331 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.471531 +| | relaxing-clam- = 0: 0 (217.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.306835 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.557581: 0 (21.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.557581: 1 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.306835: 1 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (69.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.471531 +| | relaxing-clam- = 0: 0 (7.0) +| | relaxing-clam- = 1: 1 (11.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.184043: 0 (15.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.184043 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.146771: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.146771 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.30205: 0 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.30205 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.43947 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.250559 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.461397: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.461397: 1 (7.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.250559: 1 (53.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.43947 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.202113: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.202113 +| | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.092483: 0 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.092483: 1 (2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.5023 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.404498 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.528194: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.528194: 1 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.704621 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.524562: 0 (96.0/4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.524562 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.098032: 0 (14.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.098032 +| | | | | | | | BHSUM1 <= 0.103205: 0 (7.0) +| | | | | | | | BHSUM1 > 0.103205 +| | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.306403: 0 (4.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.306403 +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.534878: 1 (16.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.534878: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.704621 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.270076: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.270076: 1 (7.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.404498: 0 (54.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.402492 +| | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.377787: 1 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.377787 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.159768 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.386581: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.386581: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.159768: 0 (41.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.402492: 0 (94.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.5023 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.30622 +| | | Std_Acc1298_Std_Mem40_Centroid <= 0.316024: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_Centroid > 0.316024: 0 (14.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.30622: 1 (11.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.121093 +| BHSUM1 <= 0.371024 +| | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.49515 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.174481 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.232159: 0 (7.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.232159 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.074934 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.351911: 1 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.351911 +| | | | | | | BH_LowPeakBPM <= 0.222222: 1 (5.0/1.0) +| | | | | | | BH_LowPeakBPM > 0.222222: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.074934: 1 (31.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.174481: 0 (5.0) +| | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.49515: 1 (46.0) +| BHSUM1 > 0.371024 +| | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.073631: 1 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.073631 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.507614 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.119574: 1 (5.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.119574: 0 (26.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.507614: 1 (6.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.121093 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.111981 +| | BH_LowPeakAmp <= 0.047864: 0 (14.0) +| | BH_LowPeakAmp > 0.047864 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.365647 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.17495 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.080155: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.080155: 1 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.17495: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.365647: 0 (9.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.111981 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.074609 +| | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.222699: 0 (13.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.222699: 1 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.074609: 0 (260.0/8.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +== Evaluation Info + +Classifier meka.classifiers.multitarget.meta.BaggingMT +Options [-S, 1, -I, 10, -P, 100, -W, meka.classifiers.multitarget.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/meta/EnsembleMT.ref b/bin/test/meka/classifiers/multitarget/meta/EnsembleMT.ref new file mode 100644 index 00000000..a285da66 --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/meta/EnsembleMT.ref @@ -0,0 +1,3202 @@ +== Model info + +Model +meka.classifiers.multitarget.meta.EnsembleMT: Model #1 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.224621 +| | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.265748: 1 (25.0) +| | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.265748 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.092323: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.092323 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.271472: 0 (3.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.271472: 1 (12.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.224621 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.182152 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.16921 +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.329834 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.427985 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.480516: 1 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.480516: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.427985: 1 (17.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.329834: 0 (4.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.16921: 0 (4.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.182152 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.375382 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.315011: 0 (19.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.315011: 1 (3.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.375382: 1 (2.0) +Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.342678 +| | BHSUM3 <= 0.361893 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.145049: 0 (39.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.145049 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.307783: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.307783 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.326117 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.652548: 0 (33.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.652548 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.292733: 1 (5.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.292733: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.326117 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.292843: 1 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.292843: 0 (5.0) +| | BHSUM3 > 0.361893 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.230847: 0 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.230847 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.368008: 1 (15.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.368008: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_3 > 0.342678: 0 (106.0/2.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.033828: 0 (24.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.033828 +| Std_Acc1298_Std_Mem40_MFCC_6 <= 0.166139: 0 (19.0) +| Std_Acc1298_Std_Mem40_MFCC_6 > 0.166139 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.139621: 0 (23.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.139621 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.251971 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.363281 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.286862 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.16999 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.291815 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.143093 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.323245: 0 (13.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.323245 +| | | | | | | | | | BHSUM1 <= 0.354272 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.597712: 0 (8.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.597712: 1 (3.0) +| | | | | | | | | | BHSUM1 > 0.354272: 1 (12.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.143093: 1 (10.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.291815: 0 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.16999: 1 (12.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.286862 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.158935: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.158935: 0 (18.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.363281: 1 (15.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.251971 +| | | | amazed-suprised- = 0 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.276106 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.23397: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.23397: 1 (11.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.276106 +| | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.113331 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.337755 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.487824: 0 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.487824: 1 (4.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.337755: 0 (47.0) +| | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.113331 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.296063: 0 (14.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.296063 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.122713: 0 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.122713 +| | | | | | | | | BH_LowPeakBPM <= 0.079365: 1 (6.0) +| | | | | | | | | BH_LowPeakBPM > 0.079365 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.332684: 1 (10.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.332684 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.25838: 0 (17.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.25838 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.468848: 1 (6.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.468848: 0 (6.0/1.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.310709: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.310709 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.400545 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.686425: 0 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.686425: 1 (3.0/1.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.400545: 1 (2.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.116333 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.110373 +| | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.089857: 0 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.089857: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.110373: 0 (83.0) +Std_Acc1298_Mean_Mem40_MFCC_7 > 0.116333 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759494 +| | amazed-suprised- = 0 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.111577: 0 (9.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.111577 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.144727: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.144727 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.219189: 1 (16.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.219189 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.21203: 0 (6.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.21203 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.292411: 1 (15.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.292411 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134: 0 (5.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.356218: 1 (20.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.356218 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.376951 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.325077 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.409211: 0 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.409211: 1 (2.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.325077: 1 (20.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.376951 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.480461 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.614965 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.524179: 0 (5.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.524179: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.614965: 1 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.480461: 0 (9.0) +| | | happy-pleased- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.52536: 1 (37.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.52536 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.313243: 0 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.313243: 1 (7.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.059895: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.059895 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.467402: 0 (21.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.467402 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.151238: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.151238: 1 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759494 +| | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.335002: 0 (26.0) +| | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.335002 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.369435: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.369435: 0 (6.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| | | | happy-pleased- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.102435 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.332239: 1 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.332239: 0 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.102435: 1 (57.0/1.0) +| | | | happy-pleased- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.614567: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.614567: 0 (4.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (10.0) +| amazed-suprised- = 1: 0 (11.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (149.0) +| | relaxing-clam- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.524411: 0 (7.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.524411: 1 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (46.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.184077: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.184077: 0 (6.0/1.0) +| | happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.299837 +| | | amazed-suprised- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.155659: 0 (9.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.155659 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.111435: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.111435 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.726467 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.166345: 1 (8.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.166345 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.387373 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.301667: 1 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.301667: 0 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.387373 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.39297: 0 (13.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.39297: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.726467: 1 (10.0) +| | | amazed-suprised- = 1 +| | | | BHSUM3 <= 0.302358: 0 (19.0) +| | | | BHSUM3 > 0.302358 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.106743: 1 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.106743: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.299837 +| | | BH_LowPeakAmp <= 0.035314 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.476801: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.476801: 0 (3.0) +| | | BH_LowPeakAmp > 0.035314: 0 (67.0/1.0) +| happy-pleased- = 1: 0 (92.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.188045 +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.576419 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.524658 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.436259: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.436259: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.524658: 1 (8.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.576419: 1 (26.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.188045 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.734316 +| | | | BHSUM3 <= 0.071184: 1 (4.0) +| | | | BHSUM3 > 0.071184 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.581551 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.273183: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.273183: 0 (6.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.581551: 0 (12.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.734316: 1 (5.0) +| happy-pleased- = 1: 0 (5.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (44.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.16022: 1 (19.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.16022 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.446796 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.45177: 0 (11.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.45177 +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.192479: 1 (8.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.192479: 0 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.446796: 1 (15.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.119769 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.047499: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.047499: 1 (8.0) +| | | | BH_HighPeakAmp > 0.119769: 0 (10.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.100572 +| | | | BH_HighPeakBPM <= 0.43609 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.251465: 0 (9.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.251465: 1 (2.0) +| | | | BH_HighPeakBPM > 0.43609: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.100572: 0 (31.0) +| quiet-still- = 1: 0 (25.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.163528 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.604904 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.083751: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.083751: 0 (19.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.604904: 1 (3.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.163528: 0 (113.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #2 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.838488 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.111877: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.111877: 0 (8.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.838488 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.079769 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.0185 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.405975: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.405975: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.0185: 1 (30.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.079769 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.093734: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.093734 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.613165 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.144852 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.287841 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.1965 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.50122 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.185697: 1 (4.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.185697: 0 (5.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.50122: 1 (7.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.1965: 1 (15.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.287841 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.45497: 0 (12.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.45497: 1 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.144852: 1 (12.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.613165: 0 (7.0/1.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.12754: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.12754 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.353008: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.353008 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.293479: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.293479: 0 (7.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.068134 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.189979: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.189979: 0 (3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.068134: 0 (35.0) +relaxing-clam- = 1: 0 (138.0/4.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.118249 +| | BHSUM1 <= 0.679256: 0 (37.0) +| | BHSUM1 > 0.679256 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.499981: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.499981: 0 (4.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.118249 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.581844 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.07121: 0 (10.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.07121 +| | | | relaxing-clam- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.356541 +| | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.425363 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.393815: 1 (19.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.393815: 0 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.425363: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.356541 +| | | | | | BH_LowPeakBPM <= 0.460317 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.15219: 1 (9.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.15219 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.206318: 0 (14.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.206318 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.287259: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.287259 +| | | | | | | | | | BHSUM2 <= 0.124143 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.265184: 1 (2.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.265184: 0 (8.0) +| | | | | | | | | | BHSUM2 > 0.124143: 1 (8.0) +| | | | | | BH_LowPeakBPM > 0.460317: 0 (18.0/1.0) +| | | | relaxing-clam- = 1 +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.545787 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.265608: 0 (3.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.265608 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.237606: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.237606: 1 (39.0/3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.545787 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.188349: 1 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.188349 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.566338 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.596319: 0 (16.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.596319: 1 (3.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.566338: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.581844: 0 (18.0/1.0) +sad-lonely- = 1: 0 (96.0/1.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.11058 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.089983 +| | BH_HighPeakAmp <= 0.012667: 0 (5.0) +| | BH_HighPeakAmp > 0.012667 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.583634: 1 (8.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.583634: 0 (2.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.089983 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.147597: 0 (85.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.147597 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.399481 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.461866: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.461866: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.399481: 1 (4.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.11058 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.236319 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.40322: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.40322: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.236319 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.545742 +| | | | BH_HighPeakAmp <= 0.038984 +| | | | | sad-lonely- = 0: 1 (46.0) +| | | | | sad-lonely- = 1 +| | | | | | BH_HighPeakBPM <= 0.210526: 0 (2.0) +| | | | | | BH_HighPeakBPM > 0.210526 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.516212: 1 (17.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.516212: 0 (3.0/1.0) +| | | | BH_HighPeakAmp > 0.038984 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.180764: 0 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.180764 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.233391: 1 (18.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.233391 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.290636: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.290636 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.347117: 1 (12.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.347117: 0 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.545742 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.262789: 0 (11.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.262789 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.078766: 1 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.078766 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.326008 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.176592: 1 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.176592: 0 (10.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.326008 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.465795: 1 (13.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.465795: 0 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (21.0/1.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.14619 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.1753 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.368138 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.132573 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.229418: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.229418: 1 (24.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.132573: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.368138: 1 (53.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.1753: 0 (7.0/1.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0/1.0) +| amazed-suprised- = 1: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.14619 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.343769: 0 (195.0/2.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.343769 +| | BH_HighPeakAmp <= 0.029671: 1 (5.0/1.0) +| | BH_HighPeakAmp > 0.029671: 0 (11.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.13256: 0 (9.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.13256 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.349645 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.375187 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.241066: 0 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.241066 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.256163: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.256163: 1 (12.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.375187: 0 (7.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.349645: 1 (45.0/2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.095179: 0 (54.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.095179 +| | BH_HighPeakBPM <= 0.413534 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.199603: 0 (15.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.199603 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.34416 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.355649 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.351384 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.443389: 0 (14.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.443389: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.351384: 1 (9.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.355649: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.34416 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.209798: 0 (21.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.209798 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.476717 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.218918 +| | | | | | | | BH_LowPeakAmp <= 0.081118: 0 (7.0) +| | | | | | | | BH_LowPeakAmp > 0.081118 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.424586: 1 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.424586: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.218918: 0 (21.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.476717: 1 (6.0/1.0) +| | BH_HighPeakBPM > 0.413534 +| | | BH_LowPeakAmp <= 0.056409 +| | | | BH_HighPeakBPM <= 0.548872: 0 (20.0/1.0) +| | | | BH_HighPeakBPM > 0.548872 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.507961 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.072457: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.072457: 0 (14.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.507961 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.649663: 1 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.649663: 0 (2.0) +| | | BH_LowPeakAmp > 0.056409: 0 (41.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| happy-pleased- = 0 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.494864: 1 (39.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.494864 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.205734 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.359553 +| | | | | | BH_LowPeakAmp <= 0.585123: 0 (6.0) +| | | | | | BH_LowPeakAmp > 0.585123: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.359553 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.537182: 1 (45.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.537182 +| | | | | | | amazed-suprised- = 0: 1 (4.0) +| | | | | | | amazed-suprised- = 1 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.105261: 1 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.105261: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.205734: 0 (4.0) +| | sad-lonely- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.065075: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.065075 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.283922 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.139849 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.494029: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.494029: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.139849: 0 (30.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.283922: 1 (2.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.446743 +| | | BHSUM3 <= 0.19601: 1 (4.0) +| | | BHSUM3 > 0.19601 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.334304: 0 (13.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.334304: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.446743: 0 (22.0) +relaxing-clam- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.163226 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.374781 +| | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.073632: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.073632: 0 (24.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.374781: 1 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.163226: 0 (110.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #3 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_12 <= 0.077415 +| Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.496744: 1 (24.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.496744 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.101092: 1 (9.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.101092 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.332757: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.332757 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.227785 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.454324: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.454324: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.227785: 0 (10.0) +Std_Acc1298_Std_Mem40_MFCC_12 > 0.077415 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.809396 +| | Std_Acc1298_Std_Mem40_Rolloff <= 0.234993 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.443194: 0 (14.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.443194 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.403116 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.447531 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.278028: 1 (9.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.278028: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.447531 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.538051 +| | | | | | | BH_LowPeakBPM <= 0.095238: 1 (3.0/1.0) +| | | | | | | BH_LowPeakBPM > 0.095238: 0 (30.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.538051 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.518746: 1 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.518746: 0 (4.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.403116: 1 (6.0) +| | Std_Acc1298_Std_Mem40_Rolloff > 0.234993 +| | | angry-aggresive- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.254148 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.661092 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.180485: 1 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.180485: 0 (18.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.661092: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.254148 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.410823: 0 (112.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.410823 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.347588: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.347588: 1 (2.0) +| | | angry-aggresive- = 1 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.546537 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.50201: 0 (26.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.50201 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.384915: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.384915: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.546537: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.809396 +| | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.192571 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.310127: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.310127 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.196926: 1 (17.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.196926: 0 (2.0) +| | Std_Acc1298_Std_Mem40_MFCC_8 > 0.192571: 0 (4.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.038582: 0 (26.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.038582 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.071458 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.389079 +| | | | BH_HighPeakAmp <= 0.008157: 0 (4.0) +| | | | BH_HighPeakAmp > 0.008157: 1 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.389079: 0 (24.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.071458 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.094251: 1 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.094251 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.477226 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.595575 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.206319: 0 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.206319 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.274854 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.348569 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.552233 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.307176: 0 (7.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.307176 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.535559 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.368981 +| | | | | | | | | | | | | BHSUM1 <= 0.088858: 0 (2.0) +| | | | | | | | | | | | | BHSUM1 > 0.088858: 1 (20.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.368981: 0 (3.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.535559 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.462982: 1 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.462982: 0 (10.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.552233 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.279794: 0 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.279794: 1 (19.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.348569: 0 (7.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.274854 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.497967 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.219773: 1 (4.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.219773: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.497967: 1 (20.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.595575 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.391382: 0 (11.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.391382: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.477226 +| | | | | BH_LowPeakBPM <= 0.206349 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.169051: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.169051: 1 (5.0) +| | | | | BH_LowPeakBPM > 0.206349: 0 (25.0/2.0) +angry-aggresive- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.103487 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.080722: 0 (8.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.080722 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.510551: 1 (5.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.510551: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.103487: 0 (87.0/4.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.212575 +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.303806 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.163757 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.243593: 0 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.243593: 1 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.163757 +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.119116 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.189811: 1 (9.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.189811 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.170624: 1 (8.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.170624 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.056132: 0 (9.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.056132 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.270413: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.270413: 1 (6.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.119116 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.360584: 1 (36.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.360584 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.363537: 0 (5.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.363537 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.580572: 1 (19.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.580572 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.542944: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.542944: 0 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.303806: 1 (45.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.212575 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.190627: 0 (8.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.190627 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.613113: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.613113: 0 (4.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (9.0/1.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.574277 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.127813 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.348827: 0 (10.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.348827 +| | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.086199: 0 (3.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.086199: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.127813: 0 (27.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.574277: 1 (3.0) +angry-aggresive- = 1 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.408014: 0 (88.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.408014 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.116115: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.116115: 0 (2.0) +| | amazed-suprised- = 1: 0 (9.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.441969: 0 (202.0/7.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.441969 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | BHSUM3 <= 0.350612 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.336549 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.127601 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.240265: 1 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.240265: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.127601: 1 (12.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.336549: 1 (52.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (5.0) +| | | BHSUM3 > 0.350612: 0 (9.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.311889: 1 (4.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.311889: 0 (19.0) +| amazed-suprised- = 1: 0 (17.0) + +Number of Leaves : 10 + +Size of the tree : 19 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.099888: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.099888 +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.671489 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.2625 +| | | | | | amazed-suprised- = 0 +| | | | | | | relaxing-clam- = 0: 1 (6.0) +| | | | | | | relaxing-clam- = 1 +| | | | | | | | BH_LowPeakBPM <= 0.174603: 0 (2.0) +| | | | | | | | BH_LowPeakBPM > 0.174603 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.371982 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.153816: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.153816: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.371982: 1 (16.0) +| | | | | | amazed-suprised- = 1 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.774025: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.774025: 1 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.2625 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.725401: 0 (8.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.725401: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.671489: 0 (7.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0: 0 (90.0/4.0) +| | | relaxing-clam- = 1: 1 (3.0/1.0) +| happy-pleased- = 1: 0 (95.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.228381: 0 (9.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.228381 +| | | Std_Acc1298_Std_Mem40_Rolloff <= 0.225014 +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.05886: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.05886: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_Rolloff > 0.225014 +| | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.102557: 0 (4.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.102557 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.574338: 1 (45.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.574338: 0 (3.0/1.0) +| happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.145896 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.205049 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.578848 +| | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.159007: 1 (11.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.159007 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.300578 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.51807 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.125719 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.723146: 0 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.723146: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.125719: 1 (32.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.51807 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.706257: 0 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.706257: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.300578 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.150309 +| | | | | | BH_LowPeakAmp <= 0.055533: 0 (7.0) +| | | | | | BH_LowPeakAmp > 0.055533 +| | | | | | | BH_HighPeakBPM <= 0.345865 +| | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.10393: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.10393 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.218328: 0 (8.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.218328: 1 (4.0) +| | | | | | | BH_HighPeakBPM > 0.345865: 1 (9.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.150309: 0 (14.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.578848: 1 (13.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.205049: 0 (7.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.145896 +| Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.074965 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.161059: 0 (3.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.161059: 1 (10.0) +| Std_Acc1298_Mean_Mem40_MFCC_0 > 0.074965 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.475018: 0 (159.0/3.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.475018 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.645573: 0 (15.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.645573 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.635416: 1 (11.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.635416: 0 (3.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #4 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.097564 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.464935 +| | angry-aggresive- = 0: 1 (17.0) +| | angry-aggresive- = 1 +| | | BHSUM1 <= 0.253083: 1 (16.0) +| | | BHSUM1 > 0.253083 +| | | | BH_HighPeakAmp <= 0.081703: 0 (4.0) +| | | | BH_HighPeakAmp > 0.081703 +| | | | | Std_Acc1298_Std_Mem40_Flux <= 0.855998 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.403208: 1 (7.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.403208: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_Flux > 0.855998: 1 (12.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.464935: 0 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.097564 +| sad-lonely- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.099608: 1 (9.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.099608 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.342678 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.575221 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.247666: 0 (9.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.247666 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.259518: 1 (7.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.259518 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.44822: 0 (10.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.44822 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.530783 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.41911 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.521816 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.616456: 1 (17.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.616456: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.521816: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.41911 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.364261: 0 (19.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.364261 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.187511: 1 (4.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.187511: 0 (2.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.530783: 1 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.575221: 0 (10.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.342678 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.126734: 1 (5.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.126734: 0 (50.0/1.0) +| | quiet-still- = 1: 0 (25.0) +| sad-lonely- = 1: 0 (84.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.063279: 0 (14.0/1.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.063279 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.161585 +| | | | BH_LowPeakAmp <= 0.020825: 0 (4.0/1.0) +| | | | BH_LowPeakAmp > 0.020825: 1 (28.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.161585 +| | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.206863: 0 (8.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.206863 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.241754 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.545373: 1 (21.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.545373: 0 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.241754 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.482491 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.398557: 0 (9.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.398557 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.228616: 1 (11.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.228616 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.313129: 1 (8.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.313129 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.203825: 1 (3.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.203825 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.280871: 0 (25.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.280871 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.225206: 1 (4.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.225206: 0 (4.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.482491: 1 (6.0) +| quiet-still- = 1 +| | BH_HighPeakAmp <= 0.009225: 0 (38.0) +| | BH_HighPeakAmp > 0.009225 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.888492: 1 (5.0/1.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.888492 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.109118: 1 (2.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.109118: 0 (28.0/1.0) +angry-aggresive- = 1: 0 (108.0/9.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Std_Mem40_MFCC_7 <= 0.198707 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.110373: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.110373: 0 (36.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_7 > 0.198707 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Std_Mem40_Flux <= 0.117666 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.471355 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.255692 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.198684: 1 (8.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.198684: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.255692: 1 (28.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.471355 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.142942: 1 (10.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.142942 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.281425: 0 (13.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.281425 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.354631 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.385619: 1 (17.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.385619: 0 (4.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.354631 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.224672 +| | | | | | | | | sad-lonely- = 0: 1 (4.0) +| | | | | | | | | sad-lonely- = 1 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.202422: 1 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.202422: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.224672: 0 (9.0) +| | | Mean_Acc1298_Std_Mem40_Flux > 0.117666 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.247564: 1 (54.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.247564: 0 (3.0/1.0) +| | amazed-suprised- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.209368: 0 (16.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.209368: 1 (5.0) +angry-aggresive- = 1: 0 (108.0/4.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.155448 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.290178: 0 (11.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.290178 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.201072 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.438764: 0 (10.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.438764: 1 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.201072 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456269 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.213124: 1 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.213124: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456269 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.273793: 0 (3.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.273793: 1 (56.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (20.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.155448 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.404258: 0 (204.0/4.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.404258 +| | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.279334: 0 (7.0) +| | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.279334: 1 (4.0) + +Number of Leaves : 11 + +Size of the tree : 21 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.168629: 0 (13.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.168629 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.154403 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.527239: 1 (14.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.527239: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.154403 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.056409: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.056409 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.861764 +| | | | | | | BH_HighPeakBPM <= 0.421053 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.454401 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.322633: 0 (11.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.322633: 1 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.454401: 1 (4.0) +| | | | | | | BH_HighPeakBPM > 0.421053: 0 (11.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.861764: 1 (3.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.424079: 0 (48.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.424079 +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.1771 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.055512 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.374805: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.374805: 0 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.055512: 0 (31.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.1771 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.334673: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.334673: 0 (4.0) +| happy-pleased- = 1: 0 (92.0/1.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.097773 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.259955 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.339083 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.331962: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.331962: 1 (14.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.339083: 0 (2.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.259955: 1 (28.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.097773 +| | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.402703 +| | | | BH_LowPeakBPM <= 0.666667: 1 (8.0/1.0) +| | | | BH_LowPeakBPM > 0.666667: 0 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.402703: 0 (10.0) +| happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.107828 +| Std_Acc1298_Std_Mem40_MFCC_11 <= 0.201383 +| | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.564565 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.109711 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.241274 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.877259: 1 (29.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.877259: 0 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.241274 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.156581: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.156581 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.248102: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.248102 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.236344: 1 (17.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.236344 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.28556: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.28556: 1 (7.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.109711 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.308798 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.076522 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.118878 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.055344 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.928557: 0 (6.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.928557: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.055344: 1 (15.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.118878: 0 (5.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.076522 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.484173: 0 (28.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.484173 +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.215109: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.215109: 1 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.308798: 1 (6.0) +| | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.564565: 1 (16.0) +| Std_Acc1298_Std_Mem40_MFCC_11 > 0.201383: 0 (9.0) +Std_Acc1298_Mean_Mem40_MFCC_12 > 0.107828 +| Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.193978 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.810956 +| | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517105 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.102774: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.102774: 0 (28.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517105: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.810956: 1 (4.0) +| Std_Acc1298_Mean_Mem40_MFCC_9 > 0.193978: 0 (129.0/1.0) + +Number of Leaves : 22 + +Size of the tree : 43 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #5 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.08273: 1 (20.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_1 > 0.08273 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.801454 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.143269 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.124914 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.501397 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.272135: 0 (9.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.272135: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.501397: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.124914: 1 (11.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.143269 +| | | BH_LowPeakAmp <= 0.253528 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.223147 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.465837: 0 (6.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.465837: 1 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.223147 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.151348: 0 (109.0/2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.151348 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.338404 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.461884: 0 (50.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.461884 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.208712: 1 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.208712 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.124132: 1 (3.0/1.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.124132: 0 (14.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.338404 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.32307: 1 (8.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.32307: 0 (12.0/1.0) +| | | BH_LowPeakAmp > 0.253528 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.563627: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.563627 +| | | | | BH_LowPeakAmp <= 0.364974: 1 (8.0) +| | | | | BH_LowPeakAmp > 0.364974 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.515249: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.515249 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.168898: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.168898: 1 (5.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.801454 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.444368 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.290582 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.097553: 0 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.097553: 1 (27.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.290582 +| | | | BH_LowPeakBPM <= 0.206349: 1 (2.0) +| | | | BH_LowPeakBPM > 0.206349: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.444368: 0 (4.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.089075: 0 (28.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.089075 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.577284 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.132228: 0 (13.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.132228 +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.11898 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.11714 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.131267: 0 (13.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.131267 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.149754: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.149754 +| | | | | | | | amazed-suprised- = 0 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.430975: 1 (4.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.430975: 0 (3.0) +| | | | | | | | amazed-suprised- = 1: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.11714: 0 (15.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.11898 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.298653 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.21756: 1 (20.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.21756 +| | | | | | | BHSUM2 <= 0.306271 +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.241928 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.638862 +| | | | | | | | | | amazed-suprised- = 0 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.319947: 1 (15.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.319947 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.116069: 0 (5.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.116069 +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.251143: 1 (14.0) +| | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.251143 +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.883962: 1 (8.0/1.0) +| | | | | | | | | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.883962: 0 (5.0) +| | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.246381: 0 (4.0/1.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.246381: 1 (11.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.638862: 0 (6.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.241928: 0 (4.0) +| | | | | | | BHSUM2 > 0.306271 +| | | | | | | | BH_HighPeakBPM <= 0.43609: 0 (11.0/1.0) +| | | | | | | | BH_HighPeakBPM > 0.43609: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.298653: 0 (6.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.577284 +| | | amazed-suprised- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.409113: 0 (23.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.409113 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.364115: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.364115: 0 (7.0) +| | | amazed-suprised- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.632552: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.632552: 0 (7.0) +sad-lonely- = 1: 0 (89.0/1.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.108856: 0 (27.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.108856 +| | amazed-suprised- = 0 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.759194 +| | | | sad-lonely- = 0 +| | | | | happy-pleased- = 0: 1 (42.0/1.0) +| | | | | happy-pleased- = 1 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.138044: 0 (3.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.138044 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.057297: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.057297: 1 (38.0/1.0) +| | | | sad-lonely- = 1 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.618441 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.598488: 1 (40.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.598488 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.50683: 0 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.50683: 1 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.618441 +| | | | | | BH_LowPeakBPM <= 0.412698 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.509648: 1 (8.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.509648: 0 (2.0) +| | | | | | BH_LowPeakBPM > 0.412698: 0 (10.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.759194 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.556523: 1 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.556523: 0 (7.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.507085: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.507085 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.396508: 0 (18.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.396508 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.287377: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.287377: 0 (3.0) +angry-aggresive- = 1: 0 (105.0/5.0) + +Number of Leaves : 18 + +Size of the tree : 35 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456699 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.06538 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.579157: 0 (8.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.579157: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.06538: 0 (200.0/4.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456699 +| amazed-suprised- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.188528 +| | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.170668 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.316412 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.242886: 0 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.242886: 1 (8.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.316412: 1 (59.0) +| | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.170668 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.442264: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.442264: 1 (5.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.188528: 0 (6.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.29056: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.29056: 0 (13.0) +| amazed-suprised- = 1: 0 (15.0) + +Number of Leaves : 12 + +Size of the tree : 23 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.09428 +| amazed-suprised- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.299474 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.105484 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.63709: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.63709: 1 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.105484 +| | | | Std_Acc1298_Std_Mem40_Centroid <= 0.35429 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.313295 +| | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.110575: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.110575: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.313295: 1 (14.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Centroid > 0.35429: 1 (35.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.299474: 0 (7.0) +| amazed-suprised- = 1: 0 (9.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.09428 +| amazed-suprised- = 0 +| | Mean_Acc1298_Std_Mem40_Centroid <= 0.287644 +| | | BHSUM3 <= 0.038518: 1 (5.0) +| | | BHSUM3 > 0.038518 +| | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.117587: 0 (23.0) +| | | | Mean_Acc1298_Std_Mem40_Centroid > 0.117587 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.260118 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.364819: 0 (16.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.364819 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.321036: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.321036: 1 (3.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.260118 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.41463: 1 (7.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.41463 +| | | | | | | BH_LowPeakAmp <= 0.211012 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.889908 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.444256 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.356388 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.47009: 0 (6.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.47009: 1 (6.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.356388: 0 (7.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.444256: 0 (12.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.889908: 1 (3.0) +| | | | | | | BH_LowPeakAmp > 0.211012: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_Centroid > 0.287644: 0 (59.0/3.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.853089: 0 (75.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.853089 +| | | BH_HighPeakBPM <= 0.225564: 1 (2.0) +| | | BH_HighPeakBPM > 0.225564 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.260284: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.260284: 0 (13.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| happy-pleased- = 0 +| | quiet-still- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.519831 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.374225: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.374225: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.519831 +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.062767 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.164401: 1 (4.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.164401: 0 (7.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.062767 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.099628: 0 (3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.099628: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679: 1 (65.0/1.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0: 1 (5.0) +| | | | BH_HighPeakAmp > 0 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.139571: 1 (4.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.139571: 0 (9.0) +| | quiet-still- = 1: 0 (11.0/1.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.075879: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.075879 +| | | BH_HighPeakBPM <= 0.548872: 0 (28.0) +| | | BH_HighPeakBPM > 0.548872 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.332561: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.332561: 1 (2.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.214373: 0 (130.0/3.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.214373 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.334371: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.334371 +| | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.377979: 1 (14.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.377979: 0 (2.0) +| | | sad-lonely- = 1: 0 (4.0) +| | happy-pleased- = 1: 0 (19.0/1.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #6 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Std_Acc1298_Std_Mem40_MFCC_3 <= 0.331146 +| | Std_Acc1298_Std_Mem40_Flux <= 0.838488 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.442264: 0 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.442264: 1 (2.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.838488: 1 (47.0/4.0) +| Std_Acc1298_Std_Mem40_MFCC_3 > 0.331146: 0 (6.0/1.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| quiet-still- = 0 +| | sad-lonely- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.358638 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.507085 +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.311852 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.531636: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.531636: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.311852: 0 (14.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.507085 +| | | | | BH_LowPeakBPM <= 0.174603: 1 (10.0) +| | | | | BH_LowPeakBPM > 0.174603 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.149084: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.149084 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.581551 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.187313: 1 (16.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.187313 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.32451: 0 (5.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.32451 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.347093 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.127159: 0 (2.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.127159: 1 (10.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.347093: 0 (3.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.581551: 0 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.358638 +| | | | happy-pleased- = 0 +| | | | | BHSUM1 <= 0.437716 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.170317: 0 (18.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.170317 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.174982 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.225961: 1 (7.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.225961: 0 (6.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.174982: 0 (18.0/1.0) +| | | | | BHSUM1 > 0.437716: 1 (3.0) +| | | | happy-pleased- = 1 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.497501: 0 (29.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.497501: 1 (3.0/1.0) +| | sad-lonely- = 1 +| | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.17495: 0 (25.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.17495 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.742495: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.742495: 1 (2.0) +| quiet-still- = 1: 0 (82.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Centroid <= 0.217179 +| Std_Acc1298_Std_Mem40_MFCC_1 <= 0.237478 +| | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.178375: 0 (10.0) +| | Std_Acc1298_Std_Mem40_MFCC_8 > 0.178375 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.566838: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.566838: 1 (7.0) +| Std_Acc1298_Std_Mem40_MFCC_1 > 0.237478 +| | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.413518: 0 (74.0) +| | Std_Acc1298_Std_Mem40_MFCC_10 > 0.413518 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.18257: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.18257: 0 (7.0) +Mean_Acc1298_Mean_Mem40_Centroid > 0.217179 +| Std_Acc1298_Mean_Mem40_Centroid <= 0.24027 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.083236 +| | | Std_Acc1298_Std_Mem40_Flux <= 0.833827: 1 (3.0/1.0) +| | | Std_Acc1298_Std_Mem40_Flux > 0.833827: 0 (24.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.083236 +| | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.596014 +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.071746 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.160549 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.317405: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.317405: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.160549: 0 (18.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.071746 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.140793: 1 (23.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.140793 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.381411: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.381411 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.370082 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.713114 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.273335: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.273335 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.120601: 1 (9.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.120601 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.459381 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.372502: 0 (11.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.372502: 1 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.459381 +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.59919 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.51829 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.10539 +| | | | | | | | | | | | | | | BH_LowPeakAmp <= 0.048491: 0 (4.0) +| | | | | | | | | | | | | | | BH_LowPeakAmp > 0.048491: 1 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.10539 +| | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.405808: 1 (25.0) +| | | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.405808: 0 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.51829: 0 (3.0) +| | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.59919: 0 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.713114 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.245565 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.090638: 1 (2.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.090638: 0 (19.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.245565: 1 (2.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.370082: 1 (8.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.596014: 0 (10.0) +| Std_Acc1298_Mean_Mem40_Centroid > 0.24027 +| | Std_Acc1298_Std_Mem40_Rolloff <= 0.442759: 0 (26.0) +| | Std_Acc1298_Std_Mem40_Rolloff > 0.442759 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.548975: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.548975: 0 (4.0) + +Number of Leaves : 31 + +Size of the tree : 61 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.135924 +| sad-lonely- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.361245: 0 (82.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.361245 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.658041: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.658041: 0 (3.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.203881: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.203881: 0 (3.0) +Std_Acc1298_Mean_Mem40_MFCC_9 > 0.135924 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.754244 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.44121 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.578696 +| | | | | happy-pleased- = 0 +| | | | | | sad-lonely- = 0 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.643104: 1 (30.0/1.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.643104: 0 (4.0) +| | | | | | sad-lonely- = 1 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.613326 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.234681: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.234681: 1 (34.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.613326: 0 (5.0/1.0) +| | | | | happy-pleased- = 1: 1 (38.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.578696 +| | | | | happy-pleased- = 0 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.283276: 1 (6.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.283276 +| | | | | | | BH_HighPeakBPM <= 0.135338: 1 (5.0) +| | | | | | | BH_HighPeakBPM > 0.135338 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.554147 +| | | | | | | | | BH_HighPeakAmp <= 0.101419: 0 (21.0) +| | | | | | | | | BH_HighPeakAmp > 0.101419: 1 (3.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.554147 +| | | | | | | | | BH_LowPeakBPM <= 0.269841: 0 (2.0) +| | | | | | | | | BH_LowPeakBPM > 0.269841: 1 (7.0) +| | | | | happy-pleased- = 1: 1 (7.0/1.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.44121 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.121111: 1 (3.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.121111: 0 (9.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.754244 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.261113: 1 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.261113: 0 (16.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.468468: 0 (29.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.468468 +| | | | BH_HighPeakBPM <= 0.661654: 1 (5.0/1.0) +| | | | BH_HighPeakBPM > 0.661654: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (3.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.456699 +| Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.232299 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.179383: 0 (145.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.179383 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.38666 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.495546 +| | | | | BH_LowPeakAmp <= 0.013338: 1 (2.0) +| | | | | BH_LowPeakAmp > 0.013338: 0 (16.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.495546: 1 (3.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.38666: 0 (34.0) +| Std_Acc1298_Mean_Mem40_MFCC_12 > 0.232299 +| | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.471217: 0 (8.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.471217: 1 (5.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.456699 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.194413 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.194843 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.125536: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.125536: 0 (9.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.194843 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.337567 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.104307: 1 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.104307 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.576703: 0 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.576703: 1 (3.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.337567: 1 (55.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.194413: 0 (6.0) +| happy-pleased- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.290079: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.290079: 0 (25.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.107463: 0 (58.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.107463 +| | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.197164: 0 (23.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.197164 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.286452 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.28407 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.551842: 0 (14.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.551842: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.28407 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.319292 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.388463 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.137175: 0 (2.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.137175 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.250238: 1 (17.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.250238 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.232241: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.232241: 0 (2.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.388463 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.235999 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.385199 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.272796: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.272796: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.385199: 0 (10.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.235999: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.319292: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.286452: 0 (11.0) +| happy-pleased- = 1: 0 (88.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.239495: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.239495 +| | | Std_Acc1298_Mean_Mem40_Flux <= 0.25819 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.178009: 0 (6.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.178009 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.287554 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.112286: 0 (3.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.112286: 1 (45.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.287554 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.172948 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.423569: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.423569: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.172948: 0 (4.0) +| | | Std_Acc1298_Mean_Mem40_Flux > 0.25819: 0 (4.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | sad-lonely- = 0 +| | | | amazed-suprised- = 0: 1 (41.0) +| | | | amazed-suprised- = 1 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.139901: 1 (19.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.139901 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.310687 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.457346: 0 (9.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.457346: 1 (8.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.310687 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.55065: 1 (18.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.55065 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.429812: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.429812: 0 (4.0/1.0) +| | | sad-lonely- = 1 +| | | | BH_HighPeakAmp <= 0.055209: 1 (5.0) +| | | | BH_HighPeakAmp > 0.055209: 0 (9.0/1.0) +| | happy-pleased- = 1 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.156386 +| | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.259036 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.42218: 0 (15.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.42218: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.259036: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.156386: 0 (21.0) +| quiet-still- = 1: 0 (27.0) +relaxing-clam- = 1 +| Std_Acc1298_Std_Mem40_MFCC_12 <= 0.086845 +| | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.195444: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.195444: 0 (5.0) +| Std_Acc1298_Std_Mem40_MFCC_12 > 0.086845: 0 (133.0/1.0) + +Number of Leaves : 17 + +Size of the tree : 33 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #7 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.094863 +| Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.514836 +| | BH_LowPeakBPM <= 0.253968 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.154043: 1 (18.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.154043 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.482342 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.125369: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.125369: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.482342: 1 (4.0) +| | BH_LowPeakBPM > 0.253968: 1 (16.0) +| Mean_Acc1298_Std_Mem40_MFCC_3 > 0.514836: 0 (5.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.094863 +| Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.191413 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.237606: 1 (9.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.237606 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.2006: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.2006: 0 (6.0) +| Std_Acc1298_Mean_Mem40_MFCC_4 > 0.191413 +| | quiet-still- = 0 +| | | sad-lonely- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.431023 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.233579 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.166254: 1 (8.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.166254 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.054465: 1 (4.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.054465 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.406523: 0 (13.0/1.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.406523: 1 (3.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.233579 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.250969 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.300298 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.559501: 0 (13.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.559501: 1 (7.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.300298: 0 (40.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.250969: 1 (5.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.431023 +| | | | | BH_LowPeakBPM <= 0.666667: 0 (40.0) +| | | | | BH_LowPeakBPM > 0.666667 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.547944: 0 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.547944: 1 (2.0) +| | | sad-lonely- = 1 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.275919 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.277834: 0 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.277834: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.275919: 0 (26.0) +| | quiet-still- = 1: 0 (87.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.264058 +| | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.064797: 0 (7.0/1.0) +| | | | Std_Acc1298_Std_Mem40_Rolloff > 0.064797 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.41997 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.119803 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.108793: 1 (5.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.108793: 0 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.119803: 1 (48.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.41997 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.170699: 0 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.170699 +| | | | | | | relaxing-clam- = 0: 1 (12.0) +| | | | | | | relaxing-clam- = 1 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.535559 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.454261: 1 (10.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.454261 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.145468: 0 (4.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.145468: 1 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.535559: 0 (8.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.264058: 0 (7.0) +| | quiet-still- = 1 +| | | BH_HighPeakAmp <= 0.036615 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.58036: 0 (17.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.58036: 1 (3.0/1.0) +| | | BH_HighPeakAmp > 0.036615: 1 (3.0) +| angry-aggresive- = 1 +| | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.204522: 0 (43.0) +| | Std_Acc1298_Std_Mem40_MFCC_7 > 0.204522 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.153845 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.474018 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.196431: 1 (7.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.196431: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.474018: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.153845: 0 (36.0/1.0) +sad-lonely- = 1: 0 (96.0/1.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +amazed-suprised- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.113968 +| | quiet-still- = 0 +| | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.220104: 0 (41.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.220104 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.401717 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.290975: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.290975: 1 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.401717: 0 (6.0) +| | quiet-still- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.642849: 1 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.642849: 0 (2.0) +| Std_Acc1298_Mean_Mem40_MFCC_8 > 0.113968 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.032925 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.248512: 1 (4.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.248512 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.148269: 0 (12.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.148269: 1 (3.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.032925 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.333808: 1 (56.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.333808 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.109627 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.619939: 0 (7.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.619939: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.109627: 1 (23.0/2.0) +| | | | sad-lonely- = 1 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.565903 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.285696 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.228395: 1 (7.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.228395 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.060015: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.060015: 0 (7.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.285696 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.106587 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.19798: 1 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.19798: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.106587: 1 (27.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.565903 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.46443: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.46443: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (11.0/1.0) +amazed-suprised- = 1 +| Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.303347: 0 (84.0/1.0) +| Std_Acc1298_Mean_Mem40_MFCC_10 > 0.303347 +| | BH_LowPeakBPM <= 0.460317: 1 (3.0) +| | BH_LowPeakBPM > 0.460317: 0 (2.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.462262 +| Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.186139: 0 (142.0) +| Std_Acc1298_Mean_Mem40_MFCC_11 > 0.186139 +| | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.618743 +| | | BH_HighPeakAmp <= 0.013748 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.367839 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.212808: 1 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.212808: 0 (3.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.367839: 0 (11.0) +| | | BH_HighPeakAmp > 0.013748: 0 (39.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.618743 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.440402: 1 (6.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.440402: 0 (5.0) +Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.462262 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.105238 +| | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.0958: 0 (6.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_12 > 0.0958 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.244651 +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.249606: 1 (7.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.249606 +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.057261: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.057261: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.244651: 1 (54.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.105238 +| | BH_HighPeakAmp <= 0.046374 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.359844 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.598178: 0 (8.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.598178: 1 (4.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.359844: 1 (9.0) +| | BH_HighPeakAmp > 0.046374: 0 (23.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_Rolloff <= 0.238689: 0 (100.0/2.0) +| Std_Acc1298_Std_Mem40_Rolloff > 0.238689 +| | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.379256 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.098726: 0 (10.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.098726 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.196876: 0 (7.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.196876 +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.417005 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.34201 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.100417: 1 (6.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.100417 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.495376: 0 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.495376: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.34201: 1 (9.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.417005 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.259823: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.259823: 0 (9.0) +| | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.379256 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.290662: 0 (27.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.290662 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.171606: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.171606 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.257999: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.257999 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.445251: 0 (13.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.445251 +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.325691: 1 (4.0) +| | | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.325691 +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.428659: 0 (9.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.428659 +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.312904: 1 (4.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.312904: 0 (4.0) +quiet-still- = 1 +| Mean_Acc1298_Mean_Mem40_Rolloff <= 0.101394 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.317017 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.526789: 0 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.526789: 1 (5.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.317017 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.26808 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.598701: 0 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.598701: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.26808: 1 (42.0) +| Mean_Acc1298_Mean_Mem40_Rolloff > 0.101394 +| | BH_LowPeakAmp <= 0.008701: 1 (4.0) +| | BH_LowPeakAmp > 0.008701 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.393206 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.325996: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.325996: 1 (4.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.393206: 0 (14.0/1.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.150683 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.313546 +| | | | BH_HighPeakBPM <= 0.225564 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.125536 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.319486: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.319486 +| | | | | | | amazed-suprised- = 0 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.382453: 1 (9.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.382453: 0 (2.0) +| | | | | | | amazed-suprised- = 1 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.086182 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.509615: 0 (3.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.509615: 1 (8.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.086182: 0 (4.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.125536: 0 (9.0) +| | | | BH_HighPeakBPM > 0.225564 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.493522 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.261737 +| | | | | | | BH_HighPeakBPM <= 0.481203 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.049559: 0 (5.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.049559 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.314361 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.189599: 0 (3.0/1.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.189599: 1 (14.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.314361: 0 (3.0) +| | | | | | | BH_HighPeakBPM > 0.481203: 1 (11.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.261737: 0 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.493522: 1 (18.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.313546: 1 (32.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.150683 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.057858: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.057858 +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.32307: 0 (21.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.32307: 1 (2.0) +| quiet-still- = 1: 0 (25.0/1.0) +relaxing-clam- = 1: 0 (145.0/3.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #8 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.135337 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.848715 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.219217: 1 (28.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.219217 +| | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.147377: 0 (5.0) +| | | | Mean_Acc1298_Mean_Mem40_Flux > 0.147377 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.171399 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.111062: 0 (3.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.111062: 1 (16.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.171399: 0 (2.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.848715: 0 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.135337 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.047015: 1 (11.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.047015 +| | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.324134 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.498023: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.498023 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.652548 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.341852: 1 (13.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.341852 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.343797 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.162357: 1 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.162357: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.343797: 1 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.652548 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.145109: 1 (4.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.145109: 0 (9.0) +| | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.324134 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.241928 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.229063 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.389898 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.518466: 0 (12.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.518466 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.545106: 1 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.545106: 0 (4.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.389898: 1 (7.0/1.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.229063 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.551655: 0 (83.0/3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.551655 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.194327: 1 (5.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.194327: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.241928: 1 (7.0/1.0) +quiet-still- = 1: 0 (85.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.268757 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.350158 +| | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.075313: 0 (39.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.075313 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.517036 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.28369 +| | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.154456 +| | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.181279 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.399695 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.224028 +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.043546: 0 (8.0) +| | | | | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.043546 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.106344: 1 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.106344 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.863181 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.534735: 1 (5.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.534735: 0 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.863181: 0 (6.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.224028: 0 (14.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.399695 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.238507 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.156911: 1 (5.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.156911: 0 (7.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.238507: 1 (10.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Flux > 0.181279: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.154456 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.585149: 0 (32.0/3.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.585149: 1 (2.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.28369: 0 (18.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.517036: 0 (26.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.350158 +| | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.573692: 1 (12.0/1.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.573692: 0 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.268757 +| | Mean_Acc1298_Std_Mem40_Flux <= 0.172147 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.07531: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.07531 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.584793: 1 (28.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.584793: 0 (4.0/1.0) +| | Mean_Acc1298_Std_Mem40_Flux > 0.172147: 0 (6.0) +quiet-still- = 1 +| Std_Acc1298_Mean_Mem40_Rolloff <= 0.204353: 0 (69.0/1.0) +| Std_Acc1298_Mean_Mem40_Rolloff > 0.204353 +| | Std_Acc1298_Std_Mem40_Flux <= 0.889363: 1 (4.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.889363: 0 (12.0/1.0) + +Number of Leaves : 24 + +Size of the tree : 47 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.127424 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.598284 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.27769: 0 (13.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.27769: 1 (3.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.598284: 0 (89.0) +Std_Acc1298_Mean_Mem40_MFCC_10 > 0.127424 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.094156 +| | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.216603: 0 (11.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.216603: 1 (4.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.094156 +| | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.191708 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.705803 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.511176 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.24294: 0 (9.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.24294: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.511176 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.598364 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.234681: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.234681: 1 (16.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.598364: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.705803: 0 (7.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.191708 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.8548 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.579137 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.317361: 1 (60.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.317361 +| | | | | | | BH_HighPeakAmp <= 0.094994: 1 (19.0/1.0) +| | | | | | | BH_HighPeakAmp > 0.094994: 0 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.579137 +| | | | | | BHSUM3 <= 0.214377 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.593943: 0 (6.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.593943 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.178341 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.407837: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.407837: 0 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.178341: 1 (8.0) +| | | | | | BHSUM3 > 0.214377: 1 (11.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.8548 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.516608: 0 (6.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.516608: 1 (2.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.574277: 0 (44.0/3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.574277: 1 (3.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.137331 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.169777 +| | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.174061: 0 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_9 > 0.174061 +| | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.20488 +| | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.411817: 0 (9.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.411817: 1 (4.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.20488 +| | | | BH_HighPeakAmp <= 0.070289: 1 (65.0/1.0) +| | | | BH_HighPeakAmp > 0.070289 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.18821: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.18821: 1 (6.0/1.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.169777: 0 (13.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.137331 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.60511 +| | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.482101: 0 (158.0) +| | Std_Acc1298_Std_Mem40_MFCC_6 > 0.482101 +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.618649 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.638402: 0 (37.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.638402 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.539398: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.539398: 0 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.618649 +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.533237: 1 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.533237: 0 (3.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.60511 +| | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.184077 +| | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.688956: 1 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.688956: 0 (2.0) +| | Mean_Acc1298_Mean_Mem40_Rolloff > 0.184077: 0 (5.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.353094 +| | | | BH_HighPeakAmp <= 0.278095 +| | | | | amazed-suprised- = 0 +| | | | | | relaxing-clam- = 0: 1 (5.0) +| | | | | | relaxing-clam- = 1 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.278571 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.204245: 1 (4.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.204245: 0 (13.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.278571: 1 (10.0/1.0) +| | | | | amazed-suprised- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.310363: 1 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.310363: 0 (7.0) +| | | | BH_HighPeakAmp > 0.278095: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.353094: 0 (16.0) +| | angry-aggresive- = 1 +| | | relaxing-clam- = 0 +| | | | amazed-suprised- = 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.792425: 0 (40.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.792425 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.104339: 0 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.104339: 1 (4.0) +| | | | amazed-suprised- = 1: 0 (47.0/1.0) +| | | relaxing-clam- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.277746: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.277746: 0 (2.0) +| happy-pleased- = 1: 0 (76.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Mean_Mem40_Centroid <= 0.361247 +| | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.371796 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.154231 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.118802: 0 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.118802 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.479597: 1 (10.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.479597 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.462889: 0 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.462889: 1 (2.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.154231: 1 (43.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.371796 +| | | | BHSUM2 <= 0.114256 +| | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.186685: 1 (6.0) +| | | | | Std_Acc1298_Mean_Mem40_Flux > 0.186685: 0 (2.0) +| | | | BHSUM2 > 0.114256: 0 (5.0) +| | Mean_Acc1298_Mean_Mem40_Centroid > 0.361247: 0 (5.0) +| happy-pleased- = 1: 0 (6.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.462671 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.170628 +| | | | | BH_HighPeakAmp <= 0.037601: 1 (15.0) +| | | | | BH_HighPeakAmp > 0.037601 +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.749151 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.276679: 0 (5.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.276679 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.41664: 1 (11.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.41664 +| | | | | | | | | BH_LowPeakBPM <= 0.428571 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.431253 +| | | | | | | | | | | amazed-suprised- = 0: 0 (6.0) +| | | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.426109 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 <= 0.231479: 0 (11.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_3 > 0.231479: 1 (2.0) +| | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.426109: 1 (6.0/1.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.431253: 1 (8.0/1.0) +| | | | | | | | | BH_LowPeakBPM > 0.428571: 1 (6.0) +| | | | | | Mean_Acc1298_Std_Mem40_Rolloff > 0.749151: 1 (12.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.170628: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.462671: 1 (38.0) +| | happy-pleased- = 1 +| | | Mean_Acc1298_Std_Mem40_MFCC_0 <= 0.359805 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.390661 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.709807: 0 (31.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.709807 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.461949: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.461949: 0 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.390661: 1 (2.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_0 > 0.359805: 1 (3.0) +| quiet-still- = 1: 0 (30.0/1.0) +relaxing-clam- = 1 +| Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.575966: 0 (125.0/1.0) +| Mean_Acc1298_Std_Mem40_MFCC_4 > 0.575966 +| | BH_HighPeakAmp <= 0.002603: 1 (3.0) +| | BH_HighPeakAmp > 0.002603: 0 (4.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #9 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| Std_Acc1298_Std_Mem40_MFCC_9 <= 0.118751 +| | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.299209 +| | | Mean_Acc1298_Mean_Mem40_Flux <= 0.308535: 1 (37.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_Flux > 0.308535: 0 (3.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.299209: 0 (4.0/1.0) +| Std_Acc1298_Std_Mem40_MFCC_9 > 0.118751 +| | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.379937 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.49857: 0 (19.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.49857 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.286402 +| | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.166442: 0 (7.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.166442 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.26017: 0 (3.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.26017 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.298234: 1 (16.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.298234 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.066807: 0 (3.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.066807 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.441332: 1 (19.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.441332 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.468607 +| | | | | | | | | | | BHSUM1 <= 0.079841: 0 (2.0) +| | | | | | | | | | | BHSUM1 > 0.079841: 1 (9.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.468607: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.286402 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.482342 +| | | | | | BH_LowPeakBPM <= 0.206349 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.362047: 1 (4.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.362047: 0 (3.0) +| | | | | | BH_LowPeakBPM > 0.206349: 0 (15.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.482342: 1 (4.0) +| | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.379937 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.442123 +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.336197 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.546537 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.670019 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.825516: 0 (34.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.825516: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.670019: 1 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.546537: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.336197: 0 (43.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.442123 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.271726: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.271726 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.549626: 0 (5.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.549626: 1 (2.0) +quiet-still- = 1: 0 (79.0) + +Number of Leaves : 25 + +Size of the tree : 49 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| quiet-still- = 0 +| | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.490811 +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.439641 +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.232622: 0 (8.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.232622 +| | | | | BHSUM3 <= 0.382994 +| | | | | | BH_HighPeakBPM <= 0.616541 +| | | | | | | BHSUM3 <= 0.347379 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.062014: 0 (4.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.062014 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.173603: 0 (3.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.173603 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.655782 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.593: 1 (26.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.593: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.655782: 0 (2.0) +| | | | | | | BHSUM3 > 0.347379: 0 (5.0) +| | | | | | BH_HighPeakBPM > 0.616541: 1 (11.0) +| | | | | BHSUM3 > 0.382994: 1 (17.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.439641 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.482519 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.239965: 0 (7.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.239965 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.40009 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.452519 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 <= 0.576557 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.305575: 1 (4.0/1.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.305575: 0 (9.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_7 > 0.576557: 1 (9.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.452519: 1 (10.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.40009: 0 (11.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.482519: 0 (9.0) +| | Std_Acc1298_Std_Mem40_MFCC_2 > 0.490811: 0 (10.0) +| quiet-still- = 1 +| | BH_LowPeakBPM <= 0.269841 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.256505: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.256505: 0 (23.0/1.0) +| | BH_LowPeakBPM > 0.269841: 0 (52.0) +angry-aggresive- = 1 +| amazed-suprised- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.103487 +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.502735: 1 (3.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.502735: 0 (2.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.103487: 0 (45.0) +| amazed-suprised- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.361922 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.133208: 0 (11.0/1.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.133208: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.361922: 0 (39.0) + +Number of Leaves : 26 + +Size of the tree : 51 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.108856: 0 (24.0) +| Std_Acc1298_Mean_Mem40_MFCC_7 > 0.108856 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.787345 +| | | amazed-suprised- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.438829 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.488136 +| | | | | | quiet-still- = 0 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.123154 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.368025: 0 (4.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.368025: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.123154 +| | | | | | | | BHSUM3 <= 0.711497: 1 (35.0) +| | | | | | | | BHSUM3 > 0.711497: 0 (2.0) +| | | | | | quiet-still- = 1 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.202023: 1 (15.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.202023 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.429454: 1 (5.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.429454: 0 (5.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.488136: 1 (44.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.438829 +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 <= 0.270821 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.174984: 0 (2.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.174984: 1 (18.0) +| | | | | Std_Acc1298_Mean_Mem40_MFCC_9 > 0.270821 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.261168: 1 (7.0/1.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.261168 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.507556: 0 (13.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.507556 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.559384: 1 (4.0/1.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.559384: 0 (3.0) +| | | amazed-suprised- = 1 +| | | | Mean_Acc1298_Std_Mem40_Flux <= 0.079214 +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.326632 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.480346: 1 (3.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.480346: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.326632: 1 (6.0) +| | | | Mean_Acc1298_Std_Mem40_Flux > 0.079214: 0 (11.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.787345: 0 (18.0) +angry-aggresive- = 1 +| BHSUM2 <= 0.037884 +| | BHSUM2 <= 0.02623: 0 (15.0) +| | BHSUM2 > 0.02623: 1 (5.0/1.0) +| BHSUM2 > 0.037884: 0 (83.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.463111 +| | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.592975: 0 (17.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.592975 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.115174: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.115174: 1 (2.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.463111 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.215071 +| | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.28003 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.283812: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.283812: 0 (12.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.28003: 1 (4.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.215071 +| | | | BH_HighPeakAmp <= 0.051696: 1 (54.0/1.0) +| | | | BH_HighPeakAmp > 0.051696 +| | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.347662: 0 (6.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_Centroid > 0.347662: 1 (6.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (5.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.425244 +| | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.186395: 0 (151.0) +| | Std_Acc1298_Std_Mem40_MFCC_12 > 0.186395 +| | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.396276 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.381593: 0 (19.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.381593: 1 (4.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.396276: 0 (33.0) +| Std_Acc1298_Mean_Mem40_MFCC_1 > 0.425244 +| | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.268243: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.268243: 1 (6.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +quiet-still- = 0 +| happy-pleased- = 0 +| | angry-aggresive- = 0 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.346004 +| | | | relaxing-clam- = 0 +| | | | | BH_HighPeakAmp <= 0.094994: 0 (5.0/1.0) +| | | | | BH_HighPeakAmp > 0.094994: 1 (11.0) +| | | | relaxing-clam- = 1 +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.397431: 1 (6.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.397431 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.376188: 1 (8.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.376188: 0 (22.0/2.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.346004: 0 (18.0) +| | angry-aggresive- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.49338: 0 (66.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.49338 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.343127: 0 (20.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.343127 +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.099529: 0 (5.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.099529: 1 (4.0) +| happy-pleased- = 1: 0 (84.0) +quiet-still- = 1 +| happy-pleased- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.404122 +| | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.106099: 0 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.106099 +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.43015: 1 (36.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.43015 +| | | | | relaxing-clam- = 0: 1 (8.0) +| | | | | relaxing-clam- = 1 +| | | | | | BH_HighPeakAmp <= 0.033895 +| | | | | | | BHSUM1 <= 0.167735 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.269296: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.269296: 1 (5.0) +| | | | | | | BHSUM1 > 0.167735: 0 (8.0) +| | | | | | BH_HighPeakAmp > 0.033895: 1 (5.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.404122: 0 (6.0) +| happy-pleased- = 1: 0 (4.0) + +Number of Leaves : 20 + +Size of the tree : 39 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| quiet-still- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.162354: 1 (15.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.162354 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.597411 +| | | | BH_HighPeakBPM <= 0.481203 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.069089 +| | | | | | Std_Acc1298_Std_Mem40_Rolloff <= 0.175946 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.273771: 0 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.273771: 1 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_Rolloff > 0.175946: 1 (13.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.069089 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.223241 +| | | | | | | BH_HighPeakAmp <= 0.002603: 1 (8.0) +| | | | | | | BH_HighPeakAmp > 0.002603 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.542653 +| | | | | | | | | BH_HighPeakBPM <= 0.06015: 1 (4.0) +| | | | | | | | | BH_HighPeakBPM > 0.06015 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.203709: 1 (4.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.203709 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.27303 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.690229 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.891965: 0 (13.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.891965: 1 (4.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.690229: 1 (5.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.27303: 0 (14.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.542653: 1 (5.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.223241: 0 (9.0) +| | | | BH_HighPeakBPM > 0.481203 +| | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.180599: 0 (4.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.180599: 1 (23.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.597411: 0 (8.0) +| quiet-still- = 1: 0 (7.0/1.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.387806 +| | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.553061 +| | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.103089: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_Rolloff > 0.103089 +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.561419: 0 (37.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.561419: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.553061 +| | | Mean_Acc1298_Std_Mem40_MFCC_6 <= 0.72095: 1 (9.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_6 > 0.72095: 0 (5.0/1.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.387806: 0 (127.0) + +Number of Leaves : 23 + +Size of the tree : 45 + + +meka.classifiers.multitarget.meta.EnsembleMT: Model #10 + +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.097564 +| Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.429 +| | Std_Acc1298_Std_Mem40_Flux <= 0.837355 +| | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.067492: 1 (3.0) +| | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.067492: 0 (5.0) +| | Std_Acc1298_Std_Mem40_Flux > 0.837355 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.140737: 1 (37.0/1.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.140737 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.780447: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.780447: 1 (2.0) +| Mean_Acc1298_Std_Mem40_MFCC_5 > 0.429: 0 (4.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.097564 +| Std_Acc1298_Std_Mem40_MFCC_2 <= 0.215071 +| | BH_LowPeakAmp <= 0.018492: 0 (7.0) +| | BH_LowPeakAmp > 0.018492 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.256011 +| | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.376177 +| | | | | BH_LowPeakBPM <= 0.571429 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.240433 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.400809: 1 (3.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.400809 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.088702: 1 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.088702: 0 (8.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.240433: 1 (5.0) +| | | | | BH_LowPeakBPM > 0.571429: 0 (6.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.376177: 1 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.256011: 1 (8.0) +| Std_Acc1298_Std_Mem40_MFCC_2 > 0.215071 +| | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.375934 +| | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.196815 +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.155386: 0 (3.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.155386: 1 (8.0) +| | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.196815 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.463825 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.266415 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.204649: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.204649: 0 (14.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.266415 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.430784 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.145192: 0 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.145192: 1 (12.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.430784: 0 (4.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.463825 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.513445: 0 (32.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.513445 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.643153 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.285419: 0 (14.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.285419 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.378741 +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.16116: 1 (5.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.16116: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.378741: 0 (5.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.643153: 1 (3.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.375934 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.329743: 0 (103.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.329743 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.337151: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.337151: 0 (19.0/1.0) + +Number of Leaves : 30 + +Size of the tree : 59 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | quiet-still- = 0 +| | | Std_Acc1298_Mean_Mem40_Centroid <= 0.25266 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.557535 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.589772 +| | | | | | BH_LowPeakAmp <= 0.015188: 0 (5.0/1.0) +| | | | | | BH_LowPeakAmp > 0.015188: 1 (64.0/4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.589772 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.558827: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.558827: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.557535 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.178657: 1 (4.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.178657 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.226384 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 <= 0.306835: 0 (9.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_12 > 0.306835: 1 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.226384: 0 (9.0) +| | | Std_Acc1298_Mean_Mem40_Centroid > 0.25266: 0 (7.0) +| | quiet-still- = 1 +| | | BHSUM2 <= 0.211311: 0 (21.0/1.0) +| | | BHSUM2 > 0.211311: 1 (2.0) +| angry-aggresive- = 1: 0 (102.0/5.0) +sad-lonely- = 1: 0 (92.0) + +Number of Leaves : 13 + +Size of the tree : 25 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.11058 +| Std_Acc1298_Std_Mem40_MFCC_10 <= 0.215499 +| | Mean_Acc1298_Std_Mem40_Rolloff <= 0.101402 +| | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.140737: 0 (6.0) +| | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.140737: 1 (3.0) +| | Mean_Acc1298_Std_Mem40_Rolloff > 0.101402: 0 (97.0) +| Std_Acc1298_Std_Mem40_MFCC_10 > 0.215499 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.590309: 1 (7.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.590309 +| | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.24464 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.609218: 1 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.609218: 0 (2.0) +| | | Mean_Acc1298_Mean_Mem40_Centroid > 0.24464: 0 (9.0) +Std_Acc1298_Mean_Mem40_MFCC_8 > 0.11058 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.781942 +| | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.529129 +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.139571 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.358969: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.358969: 0 (5.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.139571 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.23914 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.282799: 1 (4.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.282799: 0 (7.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.23914 +| | | | | | BH_HighPeakBPM <= 0.503759 +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.135248: 1 (50.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.135248 +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.146168: 0 (2.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.146168 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.128254 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.40124: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.40124: 1 (2.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.128254: 1 (22.0) +| | | | | | BH_HighPeakBPM > 0.503759 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.114552: 0 (3.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.114552 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.588451 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.292132: 1 (24.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.292132 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.121111: 1 (9.0/1.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.121111: 0 (3.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.588451: 0 (2.0) +| | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.529129 +| | | | Std_Acc1298_Mean_Mem40_Flux <= 0.145532: 0 (8.0) +| | | | Std_Acc1298_Mean_Mem40_Flux > 0.145532 +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.253084: 0 (5.0/1.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.253084: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.781942: 0 (10.0/1.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Std_Acc1298_Std_Mem40_Centroid <= 0.338536: 0 (19.0) +| | | Std_Acc1298_Std_Mem40_Centroid > 0.338536 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.459691: 0 (10.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.459691: 1 (3.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.127809 +| Mean_Acc1298_Mean_Mem40_Flux <= 0.193995 +| | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.252514 +| | | relaxing-clam- = 0: 0 (9.0) +| | | relaxing-clam- = 1 +| | | | sad-lonely- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.280085: 1 (3.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.280085: 0 (10.0) +| | | | sad-lonely- = 1: 1 (6.0) +| | Std_Acc1298_Std_Mem40_MFCC_4 > 0.252514: 1 (59.0/3.0) +| Mean_Acc1298_Mean_Mem40_Flux > 0.193995: 0 (12.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.127809 +| Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.416559 +| | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.226384: 0 (5.0) +| | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.226384: 1 (7.0) +| Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.416559 +| | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.240766: 0 (172.0) +| | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.240766 +| | | amazed-suprised- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.429049 +| | | | | sad-lonely- = 0: 0 (18.0) +| | | | | sad-lonely- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.320346: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.320346: 0 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.429049 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.148866: 0 (3.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.148866: 1 (5.0) +| | | amazed-suprised- = 1: 0 (13.0) + +Number of Leaves : 15 + +Size of the tree : 29 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| amazed-suprised- = 0 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.35508 +| | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.266181 +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.190297: 1 (3.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.190297: 0 (10.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.266181: 1 (7.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.35508 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.521996: 1 (39.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.521996: 0 (3.0/1.0) +| amazed-suprised- = 1: 0 (8.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| Mean_Acc1298_Std_Mem40_Centroid <= 0.377741 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_6 <= 0.155659: 0 (20.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_6 > 0.155659 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.235483: 0 (15.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.235483 +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.271074 +| | | | | | BH_LowPeakBPM <= 0.174603 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.112275: 1 (2.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.112275: 0 (11.0) +| | | | | | BH_LowPeakBPM > 0.174603 +| | | | | | | Std_Acc1298_Std_Mem40_Centroid <= 0.299444 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 <= 0.239514: 1 (2.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_10 > 0.239514: 0 (10.0) +| | | | | | | Std_Acc1298_Std_Mem40_Centroid > 0.299444 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 <= 0.585149 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.378757 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.286013: 0 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.286013: 1 (19.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.378757 +| | | | | | | | | | relaxing-clam- = 0: 0 (3.0) +| | | | | | | | | | relaxing-clam- = 1 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.44892: 1 (9.0/1.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.44892: 0 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_3 > 0.585149: 0 (4.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.271074 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 <= 0.749772 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 <= 0.257166 +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.314846: 0 (2.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.314846: 1 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_10 > 0.257166: 0 (27.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_10 > 0.749772: 1 (3.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.272715 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.376112: 0 (3.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.376112: 1 (6.0/2.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.272715 +| | | | BH_HighPeakBPM <= 0.090226 +| | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.1776: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.1776: 0 (3.0) +| | | | BH_HighPeakBPM > 0.090226: 0 (46.0) +| Mean_Acc1298_Std_Mem40_Centroid > 0.377741: 0 (63.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +relaxing-clam- = 0 +| quiet-still- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.170628 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.477525 +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.181702: 1 (16.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.181702 +| | | | | sad-lonely- = 0 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.240766 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.040878: 0 (5.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.040878 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.355444 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.158008: 1 (9.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.158008 +| | | | | | | | | | amazed-suprised- = 0 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.412833: 1 (9.0/1.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.412833: 0 (3.0) +| | | | | | | | | | amazed-suprised- = 1 +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.413587 +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.241928: 0 (14.0/1.0) +| | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.241928: 1 (2.0) +| | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.413587: 1 (3.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.355444 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.175728: 1 (22.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.175728: 0 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.240766: 0 (9.0/1.0) +| | | | | sad-lonely- = 1 +| | | | | | BH_HighPeakAmp <= 0.017457: 1 (4.0) +| | | | | | BH_HighPeakAmp > 0.017457: 0 (10.0/1.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.477525: 1 (41.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.170628: 0 (15.0/1.0) +| quiet-still- = 1: 0 (23.0/1.0) +relaxing-clam- = 1 +| BH_HighPeakBPM <= 0.721805: 0 (133.0/1.0) +| BH_HighPeakBPM > 0.721805 +| | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.29244: 1 (2.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.29244: 0 (6.0) + +Number of Leaves : 19 + +Size of the tree : 37 + + +== Evaluation Info + +Classifier meka.classifiers.multitarget.meta.EnsembleMT +Options [-S, 1, -I, 10, -P, 67, -W, meka.classifiers.multitarget.CC, --, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/meta/FilteredClassifier.ref b/bin/test/meka/classifiers/multitarget/meta/FilteredClassifier.ref new file mode 100644 index 00000000..6c9e90c5 --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/meta/FilteredClassifier.ref @@ -0,0 +1,489 @@ +== Model info + +Model +meka.classifiers.multitarget.CC: Node #1 + +J48 pruned tree +------------------ + +Std_Acc1298_Std_Mem40_MFCC_10 <= 0.09972 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.467768 +| | Std_Acc1298_Mean_Mem40_Flux <= 0.089468: 1 (23.0) +| | Std_Acc1298_Mean_Mem40_Flux > 0.089468 +| | | sad-lonely- = 0 +| | | | angry-aggresive- = 0 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.217644 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 <= 0.154248: 1 (2.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_1 > 0.154248: 0 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.217644: 1 (12.0) +| | | | angry-aggresive- = 1 +| | | | | Mean_Acc1298_Std_Mem40_Flux <= 0.053062: 1 (9.0) +| | | | | Mean_Acc1298_Std_Mem40_Flux > 0.053062 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.21756 +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid <= 0.210118: 0 (6.0/1.0) +| | | | | | | Mean_Acc1298_Std_Mem40_Centroid > 0.210118 +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.241675 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.45242: 1 (2.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.45242: 0 (3.0) +| | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.241675: 1 (16.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.21756: 0 (6.0) +| | | sad-lonely- = 1: 0 (3.0/1.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.467768: 0 (6.0) +Std_Acc1298_Std_Mem40_MFCC_10 > 0.09972 +| sad-lonely- = 0 +| | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.101209 +| | | Mean_Acc1298_Std_Mem40_Rolloff <= 0.589481: 1 (11.0) +| | | Mean_Acc1298_Std_Mem40_Rolloff > 0.589481: 0 (4.0/1.0) +| | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.101209 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.529654 +| | | | Std_Acc1298_Std_Mem40_MFCC_6 <= 0.31715 +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.206799: 0 (10.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.206799: 1 (5.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_6 > 0.31715: 0 (58.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.529654 +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.366876 +| | | | | BH_LowPeakBPM <= 0.126984: 1 (7.0) +| | | | | BH_LowPeakBPM > 0.126984 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.409209 +| | | | | | | Std_Acc1298_Std_Mem40_Flux <= 0.93205 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 <= 0.109118: 1 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_2 > 0.109118 +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.267611: 0 (8.0) +| | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.267611 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.479064 +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.284456: 0 (4.0) +| | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.284456 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.48194: 1 (13.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.48194 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 <= 0.557088: 1 (2.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_9 > 0.557088: 0 (3.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.479064 +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 <= 0.301225: 0 (13.0) +| | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_1 > 0.301225: 1 (4.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_Flux > 0.93205: 0 (9.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.409209: 1 (12.0/1.0) +| | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.366876 +| | | | | angry-aggresive- = 0 +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.444002: 0 (44.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.444002 +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.428464: 1 (4.0) +| | | | | | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.428464: 0 (5.0) +| | | | | angry-aggresive- = 1 +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.625559 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.156981: 0 (19.0/1.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.156981 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.165221: 1 (4.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.165221 +| | | | | | | | | BHSUM2 <= 0.271688 +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.202023: 0 (17.0/1.0) +| | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.202023: 1 (2.0) +| | | | | | | | | BHSUM2 > 0.271688: 1 (3.0) +| | | | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.625559: 1 (4.0) +| sad-lonely- = 1 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.825516: 0 (122.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.825516 +| | | angry-aggresive- = 0 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.350484: 1 (4.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.350484: 0 (2.0) +| | | angry-aggresive- = 1: 0 (3.0) + +Number of Leaves : 41 + +Size of the tree : 81 + + +meka.classifiers.multitarget.CC: Node #2 + +J48 pruned tree +------------------ + +sad-lonely- = 0 +| angry-aggresive- = 0 +| | Mean_Acc1298_Std_Mem40_MFCC_11 <= 0.27178 +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.849701: 0 (18.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.849701: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_11 > 0.27178 +| | | Std_Acc1298_Std_Mem40_MFCC_7 <= 0.538835 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.777638 +| | | | | Std_Acc1298_Mean_Mem40_Centroid <= 0.25266 +| | | | | | amazed-suprised- = 0 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.21756: 1 (15.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.21756 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.147569: 1 (11.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.147569 +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.112217: 0 (5.0) +| | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_11 > 0.112217 +| | | | | | | | | | BH_HighPeakBPM <= 0.075188: 0 (4.0) +| | | | | | | | | | BH_HighPeakBPM > 0.075188 +| | | | | | | | | | | BH_LowPeakBPM <= 0.142857: 1 (10.0) +| | | | | | | | | | | BH_LowPeakBPM > 0.142857 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.471441 +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.246456: 1 (18.0) +| | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_11 > 0.246456 +| | | | | | | | | | | | | | BH_HighPeakAmp <= 0.009254: 0 (7.0) +| | | | | | | | | | | | | | BH_HighPeakAmp > 0.009254 +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.105164: 0 (6.0/1.0) +| | | | | | | | | | | | | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.105164: 1 (12.0/1.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.471441 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.391781: 0 (10.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.391781 +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.418022: 1 (5.0) +| | | | | | | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.418022: 0 (5.0/1.0) +| | | | | | amazed-suprised- = 1 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 <= 0.121724 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 <= 0.216868: 0 (6.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_4 > 0.216868: 1 (5.0/1.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_8 > 0.121724: 1 (22.0/1.0) +| | | | | Std_Acc1298_Mean_Mem40_Centroid > 0.25266: 0 (8.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.777638: 1 (20.0) +| | | Std_Acc1298_Std_Mem40_MFCC_7 > 0.538835 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.275756: 1 (2.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.275756: 0 (17.0/1.0) +| angry-aggresive- = 1 +| | amazed-suprised- = 0 +| | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.10523 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.370548: 0 (4.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.370548: 1 (3.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.10523: 0 (64.0/1.0) +| | amazed-suprised- = 1 +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.376392 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.227506: 0 (13.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.227506 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.40987: 1 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.40987: 0 (6.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.376392: 0 (53.0) +sad-lonely- = 1: 0 (136.0/1.0) + +Number of Leaves : 29 + +Size of the tree : 57 + + +meka.classifiers.multitarget.CC: Node #3 + +J48 pruned tree +------------------ + +angry-aggresive- = 0 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.780447 +| | | Mean_Acc1298_Std_Mem40_MFCC_5 <= 0.440166 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.307971: 1 (37.0/1.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.307971 +| | | | | sad-lonely- = 0 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 <= 0.163217: 0 (6.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_5 > 0.163217 +| | | | | | | Std_Acc1298_Mean_Mem40_Flux <= 0.248209 +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 <= 0.293119 +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.26676 +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.08586: 1 (2.0) +| | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.08586: 0 (4.0) +| | | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.26676: 1 (16.0/1.0) +| | | | | | | | Std_Acc1298_Std_Mem40_MFCC_9 > 0.293119: 1 (35.0) +| | | | | | | Std_Acc1298_Mean_Mem40_Flux > 0.248209: 0 (4.0) +| | | | | sad-lonely- = 1 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 <= 0.169757: 0 (6.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_11 > 0.169757 +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.70846 +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 <= 0.161812: 1 (18.0/1.0) +| | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_7 > 0.161812 +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.239738: 0 (5.0) +| | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.239738 +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 <= 0.233927: 1 (11.0) +| | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_2 > 0.233927 +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.227235 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 <= 0.597587 +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 <= 0.698171: 1 (18.0) +| | | | | | | | | | | | | Std_Acc1298_Std_Mem40_MFCC_0 > 0.698171: 0 (2.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_12 > 0.597587: 0 (2.0) +| | | | | | | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.227235 +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux <= 0.038609: 1 (4.0) +| | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_Flux > 0.038609 +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.412867 +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.357814: 0 (2.0) +| | | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.357814: 1 (3.0) +| | | | | | | | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.412867: 0 (13.0) +| | | | | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.70846: 0 (5.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_5 > 0.440166: 1 (55.0/1.0) +| | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.780447 +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 <= 0.457457: 1 (3.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_3 > 0.457457: 0 (11.0) +| amazed-suprised- = 1 +| | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.276501 +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.466301: 0 (51.0/1.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.466301 +| | | | Std_Acc1298_Std_Mem40_MFCC_5 <= 0.370152: 0 (10.0/1.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_5 > 0.370152: 1 (4.0) +| | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.276501: 1 (4.0) +angry-aggresive- = 1: 0 (160.0/5.0) + +Number of Leaves : 27 + +Size of the tree : 53 + + +meka.classifiers.multitarget.CC: Node #4 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.140755 +| amazed-suprised- = 0 +| | Mean_Acc1298_Mean_Mem40_Flux <= 0.172533 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Std_Mem40_MFCC_4 <= 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 <= 0.459437: 1 (5.0/1.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_0 > 0.459437: 0 (4.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_4 > 0.164894 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.449254 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.475707: 1 (4.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.475707: 0 (4.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.449254: 1 (94.0/2.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.393647: 0 (13.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.393647: 1 (5.0) +| | Mean_Acc1298_Mean_Mem40_Flux > 0.172533: 0 (22.0/1.0) +| amazed-suprised- = 1: 0 (17.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.140755 +| Std_Acc1298_Std_Mem40_MFCC_0 <= 0.608306 +| | relaxing-clam- = 0: 0 (214.0) +| | relaxing-clam- = 1 +| | | happy-pleased- = 0 +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 <= 0.21998 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.378197 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.483131: 0 (5.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.483131: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.378197: 0 (32.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_12 > 0.21998 +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.34292: 0 (2.0) +| | | | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.34292: 1 (4.0) +| | | happy-pleased- = 1 +| | | | Std_Acc1298_Mean_Mem40_Rolloff <= 0.606789: 0 (41.0) +| | | | Std_Acc1298_Mean_Mem40_Rolloff > 0.606789: 1 (2.0) +| Std_Acc1298_Std_Mem40_MFCC_0 > 0.608306 +| | happy-pleased- = 0 +| | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.185862: 1 (6.0) +| | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.185862 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 <= 0.564216: 0 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_4 > 0.564216: 1 (2.0) +| | happy-pleased- = 1: 0 (7.0) + +Number of Leaves : 21 + +Size of the tree : 41 + + +meka.classifiers.multitarget.CC: Node #5 + +J48 pruned tree +------------------ + +Mean_Acc1298_Mean_Mem40_Rolloff <= 0.099545 +| Std_Acc1298_Std_Mem40_MFCC_4 <= 0.139464: 0 (10.0) +| Std_Acc1298_Std_Mem40_MFCC_4 > 0.139464 +| | Std_Acc1298_Std_Mem40_Centroid <= 0.35407 +| | | Std_Acc1298_Std_Mem40_MFCC_2 <= 0.439508 +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 <= 0.260476 +| | | | | BH_LowPeakBPM <= 0.095238: 1 (5.0/1.0) +| | | | | BH_LowPeakBPM > 0.095238: 0 (20.0/1.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_8 > 0.260476: 1 (5.0) +| | | Std_Acc1298_Std_Mem40_MFCC_2 > 0.439508: 1 (10.0) +| | Std_Acc1298_Std_Mem40_Centroid > 0.35407 +| | | angry-aggresive- = 0: 1 (60.0/3.0) +| | | angry-aggresive- = 1 +| | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.165309: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.165309: 0 (2.0) +Mean_Acc1298_Mean_Mem40_Rolloff > 0.099545 +| angry-aggresive- = 0: 0 (229.0/47.0) +| angry-aggresive- = 1 +| | BH_HighPeakAmp <= 0.003617 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.383692 +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.118392 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.461234: 1 (2.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.461234: 0 (6.0) +| | | | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.118392: 1 (5.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.383692: 0 (13.0) +| | BH_HighPeakAmp > 0.003617 +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.38257: 0 (107.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.38257 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.386628: 1 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.386628: 0 (13.0/1.0) + +Number of Leaves : 16 + +Size of the tree : 31 + + +meka.classifiers.multitarget.CC: Node #6 + +J48 pruned tree +------------------ + +Std_Acc1298_Mean_Mem40_MFCC_11 <= 0.168353 +| Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.704861 +| | Std_Acc1298_Std_Mem40_MFCC_11 <= 0.145508 +| | | BH_HighPeakBPM <= 0.503759 +| | | | Std_Acc1298_Std_Mem40_MFCC_12 <= 0.025176: 1 (11.0) +| | | | Std_Acc1298_Std_Mem40_MFCC_12 > 0.025176 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.444043 +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 <= 0.162354: 1 (12.0) +| | | | | | Mean_Acc1298_Std_Mem40_MFCC_7 > 0.162354 +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.592936 +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.11198: 0 (5.0) +| | | | | | | | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.11198: 1 (88.0/34.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.592936: 0 (7.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.444043 +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.435007: 0 (15.0/1.0) +| | | | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.435007: 1 (2.0) +| | | BH_HighPeakBPM > 0.503759 +| | | | Mean_Acc1298_Mean_Mem40_Rolloff <= 0.049011: 0 (2.0) +| | | | Mean_Acc1298_Mean_Mem40_Rolloff > 0.049011 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 <= 0.563493: 1 (29.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_8 > 0.563493: 0 (3.0/1.0) +| | Std_Acc1298_Std_Mem40_MFCC_11 > 0.145508 +| | | Std_Acc1298_Mean_Mem40_MFCC_4 <= 0.343606 +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 <= 0.363422: 1 (6.0) +| | | | Mean_Acc1298_Mean_Mem40_MFCC_5 > 0.363422 +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 <= 0.192085: 1 (2.0) +| | | | | Mean_Acc1298_Std_Mem40_MFCC_9 > 0.192085: 0 (11.0) +| | | Std_Acc1298_Mean_Mem40_MFCC_4 > 0.343606: 0 (17.0) +| Mean_Acc1298_Std_Mem40_MFCC_7 > 0.704861: 1 (18.0) +Std_Acc1298_Mean_Mem40_MFCC_11 > 0.168353 +| Mean_Acc1298_Mean_Mem40_MFCC_1 <= 0.396559 +| | Std_Acc1298_Mean_Mem40_MFCC_0 <= 0.074965 +| | | Mean_Acc1298_Std_Mem40_Centroid <= 0.195874: 0 (2.0) +| | | Mean_Acc1298_Std_Mem40_Centroid > 0.195874: 1 (8.0) +| | Std_Acc1298_Mean_Mem40_MFCC_0 > 0.074965 +| | | Mean_Acc1298_Std_Mem40_MFCC_3 <= 0.743176 +| | | | BH_LowPeakBPM <= 0: 1 (4.0/1.0) +| | | | BH_LowPeakBPM > 0 +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 <= 0.366488 +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.505404 +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 <= 0.321267: 0 (9.0) +| | | | | | | Std_Acc1298_Mean_Mem40_MFCC_1 > 0.321267: 1 (2.0) +| | | | | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.505404: 1 (3.0) +| | | | | Mean_Acc1298_Mean_Mem40_MFCC_6 > 0.366488 +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 <= 0.117579 +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid <= 0.295884: 0 (2.0) +| | | | | | | Mean_Acc1298_Mean_Mem40_Centroid > 0.295884: 1 (2.0) +| | | | | | Std_Acc1298_Mean_Mem40_MFCC_10 > 0.117579: 0 (54.0) +| | | Mean_Acc1298_Std_Mem40_MFCC_3 > 0.743176: 1 (4.0) +| Mean_Acc1298_Mean_Mem40_MFCC_1 > 0.396559 +| | Mean_Acc1298_Std_Mem40_MFCC_8 <= 0.101917 +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 <= 0.705803: 0 (7.0) +| | | Mean_Acc1298_Mean_Mem40_MFCC_2 > 0.705803: 1 (2.0) +| | Mean_Acc1298_Std_Mem40_MFCC_8 > 0.101917: 0 (164.0) + +Number of Leaves : 28 + +Size of the tree : 55 + + +== Evaluation Info + +Classifier meka.classifiers.multitarget.meta.FilteredClassifier +Options [-F, weka.filters.AllFilter , -doNotCheckForModifiedClassAttribute, -S, 1, -W, meka.classifiers.multitarget.CC, --, -S, 53322214, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +FilteredClassifier using meka.classifiers.multitarget.CC -S 53322214 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 on data filtered through weka.filters.AllFilter + +Filtered Header +@relation 'Music: -C -6-weka.filters.AllFilter' + +@attribute amazed-suprised- {0,1} +@attribute happy-pleased- {0,1} +@attribute relaxing-clam- {0,1} +@attribute quiet-still- {0,1} +@attribute sad-lonely- {0,1} +@attribute angry-aggresive- {0,1} +@attribute Mean_Acc1298_Mean_Mem40_Centroid numeric +@attribute Mean_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Mean_Mem40_Flux numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Mean_Acc1298_Std_Mem40_Centroid numeric +@attribute Mean_Acc1298_Std_Mem40_Rolloff numeric +@attribute Mean_Acc1298_Std_Mem40_Flux numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Mean_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Mean_Mem40_Centroid numeric +@attribute Std_Acc1298_Mean_Mem40_Rolloff numeric +@attribute Std_Acc1298_Mean_Mem40_Flux numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Mean_Mem40_MFCC_12 numeric +@attribute Std_Acc1298_Std_Mem40_Centroid numeric +@attribute Std_Acc1298_Std_Mem40_Rolloff numeric +@attribute Std_Acc1298_Std_Mem40_Flux numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_0 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_1 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_2 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_3 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_4 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_5 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_6 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_7 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_8 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_9 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_10 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_11 numeric +@attribute Std_Acc1298_Std_Mem40_MFCC_12 numeric +@attribute BH_LowPeakAmp numeric +@attribute BH_LowPeakBPM numeric +@attribute BH_HighPeakAmp numeric +@attribute BH_HighPeakBPM numeric +@attribute BHSUM1 numeric +@attribute BHSUM2 numeric +@attribute BHSUM3 numeric + +@data + + +Classifier Model +[5, 4, 0, 1, 2, 3] + +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/classifiers/multitarget/meta/MultiSearch.ref b/bin/test/meka/classifiers/multitarget/meta/MultiSearch.ref new file mode 100644 index 00000000..cb1c20ae --- /dev/null +++ b/bin/test/meka/classifiers/multitarget/meta/MultiSearch.ref @@ -0,0 +1,42 @@ +== Model info + +Model +meka.classifiers.multitarget.meta.MultiSearch: +Classifier: meka.classifiers.multitarget.RAkELd -k 3 -P 0 -N 0 -S 0 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 + +1. parameter: property: K, min: 1.0, max: 3.0, step: 1.0, base: 10.0, expr: I +Evaluation: Accuracy +Coordinates: 3 +Values: 3 + +{[1, 2, 4][0, 3, 5]} + +== Evaluation Info + +Classifier meka.classifiers.multitarget.meta.MultiSearch +Options [-E, ACC, -search, weka.core.setupgenerator.MathParameter -property K -min 1.0 -max 3.0 -step 1.0 -base 10.0 -expression I, -algorithm, weka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1, -log-file, ., -S, 1, -W, meka.classifiers.multitarget.RAkELd, --, -k, 3, -P, 0, -N, 0, -S, 0, -W, weka.classifiers.trees.J48, --, -C, 0.25, -M, 2] +Additional Info +meka.classifiers.multitarget.meta.MultiSearch: +Classifier: meka.classifiers.multitarget.RAkELd -k 3 -P 0 -N 0 -S 0 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 + +1. parameter: property: K, min: 1.0, max: 3.0, step: 1.0, base: 10.0, expr: I +Evaluation: Accuracy +Coordinates: 3 +Values: 3 + +{[1, 2, 4][0, 3, 5]} + +Dataset Music +Number of labels (L) 6 + + +== Predictive Performance + + + +== Additional Measurements + +Number of training instances 491 +Number of test instances 101 +Label cardinality (train set) 1.855 +Label cardinality (test set) 1.941 diff --git a/bin/test/meka/filters/unsupervised/attribute/MekaClassAttributesTest.ref b/bin/test/meka/filters/unsupervised/attribute/MekaClassAttributesTest.ref new file mode 100644 index 00000000..f32edc6d --- /dev/null +++ b/bin/test/meka/filters/unsupervised/attribute/MekaClassAttributesTest.ref @@ -0,0 +1,32 @@ +@relation '-C 1-meka.filters.unsupervised.attribute.MekaClassAttributes-Rlast' + +@attribute DateAtt1 date yyyy-MM-dd +@attribute StringAtt1 string +@attribute NominalAtt1 {r,g,b} +@attribute NumericAtt1 numeric +@attribute StringAtt2 string +@attribute NominalAtt2 {a,b,c,d} +@attribute NumericAtt2 numeric + +@data +2001-04-03,humpty,g,1,the,a,-2.3 +2001-04-03,dumpty,b,2,quick,b,-3.3 +2001-04-03,sat,r,3,brown,c,-2.4 +2001-04-03,on,r,4,fox,d,-5.3 +2001-04-03,a,b,5,jumped,a,-2.6 +2001-04-04,wall,r,6,over,b,-7.3 +2001-04-04,humpty,r,7,the,c,-2.8 +2001-04-04,dumpty,g,8,lazy,d,-9.3 +2001-05-04,had,b,9,dog,?,-2 +2001-05-04,a,r,9.4,?,?,-9 +2001-05-05,great,r,1.4,the,a,-8.3 +2001-05-05,fall,b,2.3,quick,b,-7.3 +2001-05-05,all,r,3.3,brown,c,? +2001-05-05,the,r,4.3,fox,d,-5.3 +2001-05-06,kings,g,5.3,jumped,?,-5.6 +2001-05-06,horses,b,6.5,over,b,-4.3 +2001-06-06,and,r,7.5,the,c,-3.8 +2001-06-06,all,r,8.5,lazy,d,-2.3 +2001-06-07,the,r,9.4,?,a,-1 +{1 wall,3 4.3,4 the,5 d} +{1 humpty,2 b,4 lazy,6 3.4} diff --git a/build.gradle b/build.gradle new file mode 100644 index 00000000..cdc298eb --- /dev/null +++ b/build.gradle @@ -0,0 +1,83 @@ +plugins { + id 'java' + id 'eclipse-wtp' +} + +sourceSets { + main { + java { + srcDir 'src/main/java' + srcDir 'analyses' + } + resources { + srcDir 'conf' + } + } +} + +task sourcesJar(type: Jar, dependsOn: classes) { + classifier = 'sources' + from sourceSets.main.allSource +} + +artifacts { + archives sourcesJar +} + +dependencies { + + // https://mvnrepository.com/artifact/com.googlecode.jfilechooser-bookmarks/jfilechooser-bookmarks + compile group: 'com.googlecode.jfilechooser-bookmarks', name: 'jfilechooser-bookmarks', version: '0.1.0' + + // https://mvnrepository.com/artifact/nz.ac.waikato.cms.weka/weka-stable + compile group: 'nz.ac.waikato.cms.weka', name: 'weka-stable', version: '3.9.2' + + compile group: 'com.github.fracpete', name: 'multisearch-weka-package', version: '2017.10.1' + + // https://mvnrepository.com/artifact/junit/junit + testCompile group: 'junit', name: 'junit', version: '4.12' + + compile 'org.slf4j:slf4j-api:1.7.13' + runtime 'org.slf4j:slf4j-log4j12:1.7.13', 'log4j:log4j:1.2.17' + + // https://mvnrepository.com/artifact/org.kramerlab/bmad + compile group: 'org.kramerlab', name: 'bmad', version: '2.4' + + // https://mvnrepository.com/artifact/gov.nist.math/jama + compile group: 'gov.nist.math', name: 'jama', version: '1.0.3' + + // https://mvnrepository.com/artifact/com.jidesoft/jide-common + compile group: 'com.jidesoft', name: 'jide-common', version: '3.5.15' + + // https://mvnrepository.com/artifact/com.jidesoft/jide-components + compile group: 'com.jidesoft', name: 'jide-components', version: '3.5.15' + + // https://mvnrepository.com/artifact/net.sf.meka.thirdparty/mulan + compile group: 'net.sf.meka.thirdparty', name: 'mulan', version: '1.4.0' + + // https://mvnrepository.com/artifact/net.sf.trove4j/trove4j + compile group: 'net.sf.trove4j', name: 'trove4j', version: '3.0.1' + + // https://mvnrepository.com/artifact/com.jidesoft/jide-oss + compile group: 'com.jidesoft', name: 'jide-oss', version: '3.6.18' + + // https://mvnrepository.com/artifact/com.github.fracpete/jclipboardhelper + compile group: 'com.github.fracpete', name: 'jclipboardhelper', version: '0.1.1' + + // https://mvnrepository.com/artifact/org.markdownj/markdownj + compile group: 'org.markdownj', name: 'markdownj', version: '0.3.0-1.0.2b4' + + // https://mvnrepository.com/artifact/net.sf.meka.thirdparty/mst + compile group: 'net.sf.meka.thirdparty', name: 'mst', version: '4.0' + + // https://mvnrepository.com/artifact/org.kramerlab/autoencoder + compile group: 'org.kramerlab', name: 'autoencoder', version: '0.1' +} + +repositories { + mavenLocal() + mavenCentral() + flatDir { + dirs 'lib' + } +} \ No newline at end of file diff --git a/gradle/wrapper/gradle-wrapper.jar b/gradle/wrapper/gradle-wrapper.jar new file mode 100644 index 00000000..3baa851b Binary files /dev/null and b/gradle/wrapper/gradle-wrapper.jar differ diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties new file mode 100644 index 00000000..f86da37d --- /dev/null +++ b/gradle/wrapper/gradle-wrapper.properties @@ -0,0 +1,6 @@ +#Tue Jan 23 14:44:45 CET 2018 +distributionBase=GRADLE_USER_HOME +distributionPath=wrapper/dists +zipStoreBase=GRADLE_USER_HOME +zipStorePath=wrapper/dists +distributionUrl=https\://services.gradle.org/distributions/gradle-4.4.1-bin.zip diff --git a/gradlew b/gradlew new file mode 100644 index 00000000..27309d92 --- /dev/null +++ b/gradlew @@ -0,0 +1,164 @@ +#!/usr/bin/env bash + +############################################################################## +## +## Gradle start up script for UN*X +## +############################################################################## + +# Attempt to set APP_HOME +# Resolve links: $0 may be a link +PRG="$0" +# Need this for relative symlinks. +while [ -h "$PRG" ] ; do + ls=`ls -ld "$PRG"` + link=`expr "$ls" : '.*-> \(.*\)$'` + if expr "$link" : '/.*' > /dev/null; then + PRG="$link" + else + PRG=`dirname "$PRG"`"/$link" + fi +done +SAVED="`pwd`" +cd "`dirname \"$PRG\"`/" >/dev/null +APP_HOME="`pwd -P`" +cd "$SAVED" >/dev/null + +APP_NAME="Gradle" +APP_BASE_NAME=`basename "$0"` + +# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +DEFAULT_JVM_OPTS="" + +# Use the maximum available, or set MAX_FD != -1 to use that value. +MAX_FD="maximum" + +warn ( ) { + echo "$*" +} + +die ( ) { + echo + echo "$*" + echo + exit 1 +} + +# OS specific support (must be 'true' or 'false'). +cygwin=false +msys=false +darwin=false +nonstop=false +case "`uname`" in + CYGWIN* ) + cygwin=true + ;; + Darwin* ) + darwin=true + ;; + MINGW* ) + msys=true + ;; + NONSTOP* ) + nonstop=true + ;; +esac + +CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar + +# Determine the Java command to use to start the JVM. +if [ -n "$JAVA_HOME" ] ; then + if [ -x "$JAVA_HOME/jre/sh/java" ] ; then + # IBM's JDK on AIX uses strange locations for the executables + JAVACMD="$JAVA_HOME/jre/sh/java" + else + JAVACMD="$JAVA_HOME/bin/java" + fi + if [ ! -x "$JAVACMD" ] ; then + die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." + fi +else + JAVACMD="java" + which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." +fi + +# Increase the maximum file descriptors if we can. +if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then + MAX_FD_LIMIT=`ulimit -H -n` + if [ $? -eq 0 ] ; then + if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then + MAX_FD="$MAX_FD_LIMIT" + fi + ulimit -n $MAX_FD + if [ $? -ne 0 ] ; then + warn "Could not set maximum file descriptor limit: $MAX_FD" + fi + else + warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT" + fi +fi + +# For Darwin, add options to specify how the application appears in the dock +if $darwin; then + GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\"" +fi + +# For Cygwin, switch paths to Windows format before running java +if $cygwin ; then + APP_HOME=`cygpath --path --mixed "$APP_HOME"` + CLASSPATH=`cygpath --path --mixed "$CLASSPATH"` + JAVACMD=`cygpath --unix "$JAVACMD"` + + # We build the pattern for arguments to be converted via cygpath + ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null` + SEP="" + for dir in $ROOTDIRSRAW ; do + ROOTDIRS="$ROOTDIRS$SEP$dir" + SEP="|" + done + OURCYGPATTERN="(^($ROOTDIRS))" + # Add a user-defined pattern to the cygpath arguments + if [ "$GRADLE_CYGPATTERN" != "" ] ; then + OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)" + fi + # Now convert the arguments - kludge to limit ourselves to /bin/sh + i=0 + for arg in "$@" ; do + CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -` + CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option + + if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition + eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"` + else + eval `echo args$i`="\"$arg\"" + fi + i=$((i+1)) + done + case $i in + (0) set -- ;; + (1) set -- "$args0" ;; + (2) set -- "$args0" "$args1" ;; + (3) set -- "$args0" "$args1" "$args2" ;; + (4) set -- "$args0" "$args1" "$args2" "$args3" ;; + (5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;; + (6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;; + (7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;; + (8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;; + (9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;; + esac +fi + +# Split up the JVM_OPTS And GRADLE_OPTS values into an array, following the shell quoting and substitution rules +function splitJvmOpts() { + JVM_OPTS=("$@") +} +eval splitJvmOpts $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS +JVM_OPTS[${#JVM_OPTS[*]}]="-Dorg.gradle.appname=$APP_BASE_NAME" + +exec "$JAVACMD" "${JVM_OPTS[@]}" -classpath "$CLASSPATH" org.gradle.wrapper.GradleWrapperMain "$@" diff --git a/gradlew.bat b/gradlew.bat new file mode 100644 index 00000000..f6d5974e --- /dev/null +++ b/gradlew.bat @@ -0,0 +1,90 @@ +@if "%DEBUG%" == "" @echo off +@rem ########################################################################## +@rem +@rem Gradle startup script for Windows +@rem +@rem ########################################################################## + +@rem Set local scope for the variables with windows NT shell +if "%OS%"=="Windows_NT" setlocal + +set DIRNAME=%~dp0 +if "%DIRNAME%" == "" set DIRNAME=. +set APP_BASE_NAME=%~n0 +set APP_HOME=%DIRNAME% + +@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +set DEFAULT_JVM_OPTS= + +@rem Find java.exe +if defined JAVA_HOME goto findJavaFromJavaHome + +set JAVA_EXE=java.exe +%JAVA_EXE% -version >NUL 2>&1 +if "%ERRORLEVEL%" == "0" goto init + +echo. +echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. +echo. +echo Please set the JAVA_HOME variable in your environment to match the +echo location of your Java installation. + +goto fail + +:findJavaFromJavaHome +set JAVA_HOME=%JAVA_HOME:"=% +set JAVA_EXE=%JAVA_HOME%/bin/java.exe + +if exist "%JAVA_EXE%" goto init + +echo. +echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% +echo. +echo Please set the JAVA_HOME variable in your environment to match the +echo location of your Java installation. + +goto fail + +:init +@rem Get command-line arguments, handling Windows variants + +if not "%OS%" == "Windows_NT" goto win9xME_args +if "%@eval[2+2]" == "4" goto 4NT_args + +:win9xME_args +@rem Slurp the command line arguments. +set CMD_LINE_ARGS= +set _SKIP=2 + +:win9xME_args_slurp +if "x%~1" == "x" goto execute + +set CMD_LINE_ARGS=%* +goto execute + +:4NT_args +@rem Get arguments from the 4NT Shell from JP Software +set CMD_LINE_ARGS=%$ + +:execute +@rem Setup the command line + +set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar + +@rem Execute Gradle +"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS% + +:end +@rem End local scope for the variables with windows NT shell +if "%ERRORLEVEL%"=="0" goto mainEnd + +:fail +rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of +rem the _cmd.exe /c_ return code! +if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1 +exit /b 1 + +:mainEnd +if "%OS%"=="Windows_NT" endlocal + +:omega diff --git a/settings.gradle b/settings.gradle new file mode 100644 index 00000000..692ee9d4 --- /dev/null +++ b/settings.gradle @@ -0,0 +1,3 @@ +includeFlat 'weka' + +rootProject.name = 'mekame' \ No newline at end of file diff --git a/src/main/java/meka/classifiers/multitarget/incremental/CRUpdateable.java b/src/main/java/meka/classifiers/multitarget/incremental/CRUpdateable.java index be2c9a61..447f4089 100644 --- a/src/main/java/meka/classifiers/multitarget/incremental/CRUpdateable.java +++ b/src/main/java/meka/classifiers/multitarget/incremental/CRUpdateable.java @@ -13,7 +13,7 @@ * along with this program. If not, see . */ -package meka.classifiers.multiltarget.incremental; +package meka.classifiers.multitarget.incremental; import meka.classifiers.incremental.IncrementalEvaluation; import meka.classifiers.multitarget.CR; @@ -24,53 +24,57 @@ import weka.core.Instance; /** - * CRUpdateable.java - Updateable CR. - * Must be run with an UpdateableClassifier base classifier. + * CRUpdateable.java - Updateable CR. Must be run with an UpdateableClassifier base classifier. + * * @see CR - * @author Joerg Wicker - * @version December, 2017 + * @author Joerg Wicker + * @version December, 2017 */ public class CRUpdateable extends CR implements IncrementalMultiTargetClassifier { - /** for serialization. */ - private static final long serialVersionUID = 6705611077773512052L; + /** for serialization. */ + private static final long serialVersionUID = 6705611077773512052L; - @Override - public String globalInfo() { - return "Updateable CR\nMust be run with an Updateable base classifier."; - } + @Override + public String globalInfo() { + return "Updateable CR\nMust be run with an Updateable base classifier."; + } - public CRUpdateable() { - // default classifier for GUI - this.m_Classifier = new HoeffdingTree(); - } + public CRUpdateable() { + // default classifier for GUI + this.m_Classifier = new HoeffdingTree(); + } - @Override - protected String defaultClassifierString() { - // default classifier for CLI - return "weka.classifiers.trees.HoeffdingTree"; - } + @Override + protected String defaultClassifierString() { + // default classifier for CLI + return "weka.classifiers.trees.HoeffdingTree"; + } - @Override - public void updateClassifier(Instance x) throws Exception { + @Override + public void updateClassifier(final Instance x) throws Exception { - int L = x.classIndex(); + int L = x.classIndex(); - if(getDebug()) System.out.print("-: Updating "+L+" models"); + if (this.getDebug()) { + System.out.print("-: Updating " + L + " models"); + } - for(int j = 0; j < L; j++) { - Instance x_j = (Instance)x.copy(); - x_j.setDataset(null); - x_j = MLUtils.keepAttributesAt(x_j,new int[]{j},L); - x_j.setDataset(m_InstancesTemplates[j]); - ((UpdateableClassifier)m_MultiClassifiers[j]).updateClassifier(x_j); - } + for (int j = 0; j < L; j++) { + Instance x_j = (Instance) x.copy(); + x_j.setDataset(null); + x_j = MLUtils.keepAttributesAt(x_j, new int[] { j }, L); + x_j.setDataset(this.m_InstancesTemplates[j]); + ((UpdateableClassifier) this.m_MultiClassifiers[j]).updateClassifier(x_j); + } - if(getDebug()) System.out.println(":- "); - } + if (this.getDebug()) { + System.out.println(":- "); + } + } - public static void main(String args[]) { - IncrementalEvaluation.runExperiment(new CRUpdateable(),args); - } + public static void main(final String args[]) { + IncrementalEvaluation.runExperiment(new CRUpdateable(), args); + } } diff --git a/src/main/java/meka/gui/core/MarkdownTextAreaWithPreview.java b/src/main/java/meka/gui/core/MarkdownTextAreaWithPreview.java index 14ca8ac0..edcef029 100644 --- a/src/main/java/meka/gui/core/MarkdownTextAreaWithPreview.java +++ b/src/main/java/meka/gui/core/MarkdownTextAreaWithPreview.java @@ -22,7 +22,10 @@ import com.googlecode.jfilechooserbookmarks.gui.BasePanel; import com.googlecode.jfilechooserbookmarks.gui.BaseScrollPane; -import org.markdownj.MarkdownProcessor; +import com.petebevin.markdown.MarkdownProcessor; + +import java.awt.BorderLayout; +import java.awt.Font; import javax.swing.JEditorPane; import javax.swing.JFrame; @@ -31,8 +34,6 @@ import javax.swing.event.ChangeEvent; import javax.swing.event.ChangeListener; import javax.swing.text.Document; -import java.awt.BorderLayout; -import java.awt.Font; /** * Text area for handling Markdown with code and preview tabs. @@ -40,256 +41,264 @@ * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision$ */ -public class MarkdownTextAreaWithPreview - extends BasePanel { - - private static final long serialVersionUID = -1823780286250700366L; - - /** the tabbed pane. */ - protected JTabbedPane m_TabbedPane; - - /** the text area for writing markdown code. */ - protected JTextArea m_TextCode; - - /** the preview. */ - protected JEditorPane m_PanePreview; - - /** the markdown processor. */ - protected MarkdownProcessor m_Processor; - - /** - * Initializes the members. - */ - @Override - protected void initialize() { - super.initialize(); - - m_Processor = new MarkdownProcessor(); - } - - /** - * Initializes the widgets. - */ - @Override - protected void initGUI() { - super.initGUI(); - - setLayout(new BorderLayout()); - - m_TabbedPane = new JTabbedPane(); - add(m_TabbedPane, BorderLayout.CENTER); - - m_TextCode = new JTextArea(); - m_TextCode.setFont(GUIHelper.getMonospacedFont()); - m_TabbedPane.addTab("Write", new BaseScrollPane(m_TextCode)); - - m_PanePreview = new JEditorPane(); - m_PanePreview.setEditable(false); - m_PanePreview.setContentType("text/html"); - m_TabbedPane.addTab("Preview", new BaseScrollPane(m_PanePreview)); - - m_TabbedPane.addChangeListener(new ChangeListener() { - @Override - public void stateChanged(ChangeEvent e) { - update(); - } - }); - } - - /** - * Sets the markdown code to display. - * - * @param value the markdown code - */ - public void setText(String value) { - if (value == null) - value = ""; - m_TextCode.setText(value); - update(); - } - - /** - * Returns the markdown code to display. - * - * @return the markdown code - */ - public String getText() { - return m_TextCode.getText(); - } - - /** - * Returns the underlying document. - * - * @return the document - */ - public Document getDocument() { - return m_TextCode.getDocument(); - } - - /** - * Returns the underlying text. - * - * @return the underlying text - */ - public String getSelectedText() { - return m_TextCode.getSelectedText(); - } - - /** - * Sets the rows. - * - * @param value the rows - */ - public void setRows(int value) { - m_TextCode.setRows(value); - } - - /** - * Returns the rows. - * - * @return the rows - */ - public int getRows() { - return m_TextCode.getRows(); - } - - /** - * Sets the columns. - * - * @param value the columns - */ - public void setColumns(int value) { - m_TextCode.setColumns(value); - } - - /** - * Returns the columns. - * - * @return the columns - */ - public int getColumns() { - return m_TextCode.getColumns(); - } - - /** - * Sets whether the text area is editable or not. - * - * @param value if true the text area is editable - */ - public void setEditable(boolean value) { - m_TextCode.setEditable(value); - } - - /** - * Returns whether the text area is editable or not. - * - * @return true if the text area is editable - */ - public boolean isEditable() { - return m_TextCode.isEditable(); - } - - /** - * Sets whether to line wrap or not. - * - * @param value if true line wrap is enabled - */ - public void setLineWrap(boolean value) { - m_TextCode.setLineWrap(value); - } - - /** - * Returns whether line wrap is enabled. - * - * @return true if line wrap wrap is enabled - */ - public boolean getLineWrap() { - return m_TextCode.getLineWrap(); - } - - /** - * Sets whether to word wrap or not. - * - * @param value if true word wrap is enabled - */ - public void setWrapStyleWord(boolean value) { - m_TextCode.setWrapStyleWord(value); - } - - /** - * Returns whether word wrap is enabled. - * - * @return true if word wrap wrap is enabled - */ - public boolean getWrapStyleWord() { - return m_TextCode.getWrapStyleWord(); - } - - /** - * Sets the text font. - * - * @param value the font - */ - public void setTextFont(Font value) { - m_TextCode.setFont(value); - } - - /** - * Returns the text font in use. - * - * @return the font - */ - public Font getTextFont() { - return m_TextCode.getFont(); - } - - /** - * Sets the caret position. - * - * @param pos the position (0-based) - */ - public void setCaretPosition(int pos) { - m_TextCode.setCaretPosition(pos); - } - - /** - * Returns the current caret position. - * - * @return the position (0-based) - */ - public int getCaretPosition() { - return m_TextCode.getCaretPosition(); - } - - /** - * Updates the markdown display. - */ - protected void update() { - String html; - - html = m_Processor.markdown(getText()); - try { - m_PanePreview.setText("" + html + ""); - m_PanePreview.setCaretPosition(0); - } - catch (Exception e) { - System.err.println("Failed to update preview!"); - e.printStackTrace(); - } - } - - /** - * For testing only. - * - * @param args ignored - */ - public static void main(String[] args) { - JFrame frame = new JFrame("Markdown test"); - frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); - frame.getContentPane().setLayout(new BorderLayout()); - frame.getContentPane().add(new MarkdownTextAreaWithPreview(), BorderLayout.CENTER); - frame.setSize(600, 400); - frame.setLocationRelativeTo(null); - frame.setVisible(true); - } +public class MarkdownTextAreaWithPreview extends BasePanel { + + private static final long serialVersionUID = -1823780286250700366L; + + /** the tabbed pane. */ + protected JTabbedPane m_TabbedPane; + + /** the text area for writing markdown code. */ + protected JTextArea m_TextCode; + + /** the preview. */ + protected JEditorPane m_PanePreview; + + /** the markdown processor. */ + protected MarkdownProcessor m_Processor; + + /** + * Initializes the members. + */ + @Override + protected void initialize() { + super.initialize(); + + this.m_Processor = new MarkdownProcessor(); + } + + /** + * Initializes the widgets. + */ + @Override + protected void initGUI() { + super.initGUI(); + + this.setLayout(new BorderLayout()); + + this.m_TabbedPane = new JTabbedPane(); + this.add(this.m_TabbedPane, BorderLayout.CENTER); + + this.m_TextCode = new JTextArea(); + this.m_TextCode.setFont(GUIHelper.getMonospacedFont()); + this.m_TabbedPane.addTab("Write", new BaseScrollPane(this.m_TextCode)); + + this.m_PanePreview = new JEditorPane(); + this.m_PanePreview.setEditable(false); + this.m_PanePreview.setContentType("text/html"); + this.m_TabbedPane.addTab("Preview", new BaseScrollPane(this.m_PanePreview)); + + this.m_TabbedPane.addChangeListener(new ChangeListener() { + @Override + public void stateChanged(final ChangeEvent e) { + MarkdownTextAreaWithPreview.this.update(); + } + }); + } + + /** + * Sets the markdown code to display. + * + * @param value + * the markdown code + */ + public void setText(String value) { + if (value == null) { + value = ""; + } + this.m_TextCode.setText(value); + this.update(); + } + + /** + * Returns the markdown code to display. + * + * @return the markdown code + */ + public String getText() { + return this.m_TextCode.getText(); + } + + /** + * Returns the underlying document. + * + * @return the document + */ + public Document getDocument() { + return this.m_TextCode.getDocument(); + } + + /** + * Returns the underlying text. + * + * @return the underlying text + */ + public String getSelectedText() { + return this.m_TextCode.getSelectedText(); + } + + /** + * Sets the rows. + * + * @param value + * the rows + */ + public void setRows(final int value) { + this.m_TextCode.setRows(value); + } + + /** + * Returns the rows. + * + * @return the rows + */ + public int getRows() { + return this.m_TextCode.getRows(); + } + + /** + * Sets the columns. + * + * @param value + * the columns + */ + public void setColumns(final int value) { + this.m_TextCode.setColumns(value); + } + + /** + * Returns the columns. + * + * @return the columns + */ + public int getColumns() { + return this.m_TextCode.getColumns(); + } + + /** + * Sets whether the text area is editable or not. + * + * @param value + * if true the text area is editable + */ + public void setEditable(final boolean value) { + this.m_TextCode.setEditable(value); + } + + /** + * Returns whether the text area is editable or not. + * + * @return true if the text area is editable + */ + public boolean isEditable() { + return this.m_TextCode.isEditable(); + } + + /** + * Sets whether to line wrap or not. + * + * @param value + * if true line wrap is enabled + */ + public void setLineWrap(final boolean value) { + this.m_TextCode.setLineWrap(value); + } + + /** + * Returns whether line wrap is enabled. + * + * @return true if line wrap wrap is enabled + */ + public boolean getLineWrap() { + return this.m_TextCode.getLineWrap(); + } + + /** + * Sets whether to word wrap or not. + * + * @param value + * if true word wrap is enabled + */ + public void setWrapStyleWord(final boolean value) { + this.m_TextCode.setWrapStyleWord(value); + } + + /** + * Returns whether word wrap is enabled. + * + * @return true if word wrap wrap is enabled + */ + public boolean getWrapStyleWord() { + return this.m_TextCode.getWrapStyleWord(); + } + + /** + * Sets the text font. + * + * @param value + * the font + */ + public void setTextFont(final Font value) { + this.m_TextCode.setFont(value); + } + + /** + * Returns the text font in use. + * + * @return the font + */ + public Font getTextFont() { + return this.m_TextCode.getFont(); + } + + /** + * Sets the caret position. + * + * @param pos + * the position (0-based) + */ + public void setCaretPosition(final int pos) { + this.m_TextCode.setCaretPosition(pos); + } + + /** + * Returns the current caret position. + * + * @return the position (0-based) + */ + public int getCaretPosition() { + return this.m_TextCode.getCaretPosition(); + } + + /** + * Updates the markdown display. + */ + protected void update() { + String html; + + html = this.m_Processor.markdown(this.getText()); + try { + this.m_PanePreview.setText("" + html + ""); + this.m_PanePreview.setCaretPosition(0); + } catch (Exception e) { + System.err.println("Failed to update preview!"); + e.printStackTrace(); + } + } + + /** + * For testing only. + * + * @param args + * ignored + */ + public static void main(final String[] args) { + JFrame frame = new JFrame("Markdown test"); + frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + frame.getContentPane().setLayout(new BorderLayout()); + frame.getContentPane().add(new MarkdownTextAreaWithPreview(), BorderLayout.CENTER); + frame.setSize(600, 400); + frame.setLocationRelativeTo(null); + frame.setVisible(true); + } } diff --git a/src/main/java/meka/gui/core/MarkdownTextPane.java b/src/main/java/meka/gui/core/MarkdownTextPane.java index ad14d6b4..75b012fb 100644 --- a/src/main/java/meka/gui/core/MarkdownTextPane.java +++ b/src/main/java/meka/gui/core/MarkdownTextPane.java @@ -22,12 +22,13 @@ import com.googlecode.jfilechooserbookmarks.gui.BasePanel; import com.googlecode.jfilechooserbookmarks.gui.BaseScrollPane; -import org.markdownj.MarkdownProcessor; +import com.petebevin.markdown.MarkdownProcessor; + +import java.awt.BorderLayout; import javax.swing.JEditorPane; import javax.swing.JFrame; import javax.swing.text.Document; -import java.awt.BorderLayout; /** * Renders Markdown text. @@ -35,144 +36,147 @@ * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision$ */ -public class MarkdownTextPane - extends BasePanel { - - private static final long serialVersionUID = -3021897813785552183L; - - /** the markdown processor. */ - protected MarkdownProcessor m_Processor; - - /** the markdown text. */ - protected String m_Markdown; - - /** for rendering the markdown. */ - protected JEditorPane m_PaneView; - - /** - * Initializes the members. - */ - @Override - protected void initialize() { - super.initialize(); - - m_Processor = new MarkdownProcessor(); - m_Markdown = ""; - } - - /** - * Initializes the widgets. - */ - @Override - protected void initGUI() { - super.initGUI(); - - setLayout(new BorderLayout()); - - m_PaneView = new JEditorPane(); - m_PaneView.setEditable(false); - m_PaneView.setContentType("text/html"); - add(new BaseScrollPane(m_PaneView), BorderLayout.CENTER); - } - - /** - * Sets the Markdown text and renders it. - * - * @param value the markdown text - */ - public void setText(String value) { - String html; - - if (value == null) - value = ""; - m_Markdown = value; - - html = m_Processor.markdown(m_Markdown); - try { - m_PaneView.setText("" + html + ""); - m_PaneView.setCaretPosition(0); - } - catch (Exception e) { - System.err.println("Failed to update preview!"); - e.printStackTrace(); - } - } - - /** - * Returns the Markdown text. - * - * @return the markdown text - */ - public String getText() { - return m_Markdown; - } - - /** - * Sets whether the text pane is editable or not. - * - * @param value if true the text pane is editable - */ - public void setEditable(boolean value) { - m_PaneView.setEditable(value); - } - - /** - * Returns whether the text pane is editable or not. - * - * @return true if the text pane is editable - */ - public boolean isEditable() { - return m_PaneView.isEditable(); - } - - /** - * Returns the underlying document. - * - * @return the document - */ - public Document getDocument() { - return m_PaneView.getDocument(); - } - - /** - * Sets the position of the cursor. - * - * @param value the position - */ - public void setCaretPosition(int value) { - m_PaneView.setCaretPosition(value); - } - - /** - * Returns the current position of the cursor. - * - * @return the cursor position - */ - public int getCaretPosition() { - return m_PaneView.getCaretPosition(); - } - - /** - * Sets the position of the cursor at the end. - */ - public void setCaretPositionLast() { - setCaretPosition(getDocument().getLength()); - } - - /** - * For testing only. - * - * @param args ignored - */ - public static void main(String[] args) { - MarkdownTextPane pane = new MarkdownTextPane(); - pane.setText("# Markdown test\n\n* item 1\n* item 2\n\n## Other stuff\n*italic* __bold__"); - JFrame frame = new JFrame("Markdown test"); - frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); - frame.getContentPane().setLayout(new BorderLayout()); - frame.getContentPane().add(pane, BorderLayout.CENTER); - frame.setSize(600, 400); - frame.setLocationRelativeTo(null); - frame.setVisible(true); - } +public class MarkdownTextPane extends BasePanel { + + private static final long serialVersionUID = -3021897813785552183L; + + /** the markdown processor. */ + protected MarkdownProcessor m_Processor; + + /** the markdown text. */ + protected String m_Markdown; + + /** for rendering the markdown. */ + protected JEditorPane m_PaneView; + + /** + * Initializes the members. + */ + @Override + protected void initialize() { + super.initialize(); + + this.m_Processor = new MarkdownProcessor(); + this.m_Markdown = ""; + } + + /** + * Initializes the widgets. + */ + @Override + protected void initGUI() { + super.initGUI(); + + this.setLayout(new BorderLayout()); + + this.m_PaneView = new JEditorPane(); + this.m_PaneView.setEditable(false); + this.m_PaneView.setContentType("text/html"); + this.add(new BaseScrollPane(this.m_PaneView), BorderLayout.CENTER); + } + + /** + * Sets the Markdown text and renders it. + * + * @param value + * the markdown text + */ + public void setText(String value) { + String html; + + if (value == null) { + value = ""; + } + this.m_Markdown = value; + + html = this.m_Processor.markdown(this.m_Markdown); + try { + this.m_PaneView.setText("" + html + ""); + this.m_PaneView.setCaretPosition(0); + } catch (Exception e) { + System.err.println("Failed to update preview!"); + e.printStackTrace(); + } + } + + /** + * Returns the Markdown text. + * + * @return the markdown text + */ + public String getText() { + return this.m_Markdown; + } + + /** + * Sets whether the text pane is editable or not. + * + * @param value + * if true the text pane is editable + */ + public void setEditable(final boolean value) { + this.m_PaneView.setEditable(value); + } + + /** + * Returns whether the text pane is editable or not. + * + * @return true if the text pane is editable + */ + public boolean isEditable() { + return this.m_PaneView.isEditable(); + } + + /** + * Returns the underlying document. + * + * @return the document + */ + public Document getDocument() { + return this.m_PaneView.getDocument(); + } + + /** + * Sets the position of the cursor. + * + * @param value + * the position + */ + public void setCaretPosition(final int value) { + this.m_PaneView.setCaretPosition(value); + } + + /** + * Returns the current position of the cursor. + * + * @return the cursor position + */ + public int getCaretPosition() { + return this.m_PaneView.getCaretPosition(); + } + + /** + * Sets the position of the cursor at the end. + */ + public void setCaretPositionLast() { + this.setCaretPosition(this.getDocument().getLength()); + } + + /** + * For testing only. + * + * @param args + * ignored + */ + public static void main(final String[] args) { + MarkdownTextPane pane = new MarkdownTextPane(); + pane.setText("# Markdown test\n\n* item 1\n* item 2\n\n## Other stuff\n*italic* __bold__"); + JFrame frame = new JFrame("Markdown test"); + frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + frame.getContentPane().setLayout(new BorderLayout()); + frame.getContentPane().add(pane, BorderLayout.CENTER); + frame.setSize(600, 400); + frame.setLocationRelativeTo(null); + frame.setVisible(true); + } } diff --git a/src/test/java/meka/classifiers/AbstractMekaClassifierTest.java b/src/test/java/meka/classifiers/AbstractMekaClassifierTest.java deleted file mode 100644 index 98d68fab..00000000 --- a/src/test/java/meka/classifiers/AbstractMekaClassifierTest.java +++ /dev/null @@ -1,447 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/** - * AbstractMekaClassifierTest.java - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ -package meka.classifiers; - -import junit.framework.TestCase; -import meka.classifiers.multilabel.Evaluation; -import meka.classifiers.multilabel.MultiLabelClassifier; -import meka.core.MLUtils; -import meka.core.Result; -import weka.classifiers.CheckClassifier; -import weka.classifiers.Classifier; -import weka.core.CheckGOE; -import weka.core.CheckOptionHandler; -import weka.core.Instances; -import weka.core.OptionHandler; -import weka.core.converters.ConverterUtils; -import weka.test.Regression; - -/** - * Abstract test for classifiers within the MEKA framework. - *
- * The following system properties can be set: - *
    - *
  • meka.test.debug [true|false] to set tester object debug flag
  • - *
  • meka.test.silent [true|false] to set tester object silent flag
  • - *
- * - * @author fracpete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public abstract class AbstractMekaClassifierTest - extends TestCase { - - /** whether to run testers in DEBUG mode */ - public boolean DEBUG = System.getProperty("meka.test.debug", "false").equals("true"); - - /** whether to run testers in SILENT mode */ - public boolean SILENT = System.getProperty("meka.test.silent", "true").equals("true"); - - /** - * Dummy class to expose protected methods. - */ - public static class MekaCheckClassifier - extends CheckClassifier { - - /** - * Checks whether the scheme's toString() method works even though the - * classifies hasn't been built yet. - * - * @return index 0 is true if the toString() method works fine - */ - public boolean[] testToString() { - return super.testToString(); - } - - /** - * tests for a serialVersionUID. Fails in case the scheme doesn't declare a - * UID. - * - * @return index 0 is true if the scheme declares a UID - */ - public boolean[] declaresSerialVersionUID() { - return super.declaresSerialVersionUID(); - } - } - - /** The classifier to be tested */ - protected Classifier m_Classifier; - - /** For testing the classifier */ - protected MekaCheckClassifier m_Tester; - - /** the OptionHandler tester */ - protected CheckOptionHandler m_OptionTester; - - /** for testing GOE stuff */ - protected CheckGOE m_GOETester; - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public AbstractMekaClassifierTest(String name) { - super(name); - System.setProperty("weka.test.Regression.root", "src/test/resources"); - } - - /** - * configures the CheckClassifier instance used throughout the tests - * - * @return the fully configured CheckClassifier instance used for testing - */ - protected MekaCheckClassifier getTester() { - MekaCheckClassifier result; - - result = new MekaCheckClassifier(); - result.setSilent(SILENT); - result.setClassifier(m_Classifier); - result.setNumInstances(20); - result.setDebug(DEBUG); - - return result; - } - - /** - * Configures the CheckOptionHandler uses for testing the optionhandling. Sets - * the classifier return from the getClassifier() method. - * - * @return the fully configured CheckOptionHandler - * @see #getClassifier() - */ - protected CheckOptionHandler getOptionTester() { - CheckOptionHandler result; - - result = new CheckOptionHandler(); - result.setOptionHandler((OptionHandler) getClassifier()); - result.setUserOptions(new String[0]); - result.setSilent(SILENT); - result.setDebug(DEBUG); - - return result; - } - - /** - * Configures the CheckGOE used for testing GOE stuff. Sets the Classifier - * returned from the getClassifier() method. - * - * @return the fully configured CheckGOE - * @see #getClassifier() - */ - protected CheckGOE getGOETester() { - CheckGOE result; - - result = new CheckGOE(); - result.setObject(getClassifier()); - result.setSilent(SILENT); - result.setDebug(DEBUG); - - return result; - } - - /** - * Called by JUnit before each test method. This implementation creates the - * default classifier to test and loads a test set of Instances. - * - * @exception Exception if an error occurs reading the example instances. - */ - @SuppressWarnings("unchecked") - @Override - protected void setUp() throws Exception { - m_Classifier = getClassifier(); - m_Tester = getTester(); - m_OptionTester = getOptionTester(); - m_GOETester = getGOETester(); - } - - /** Called by JUnit after each test method */ - @SuppressWarnings("unchecked") - @Override - protected void tearDown() { - m_Classifier = null; - m_Tester = null; - m_OptionTester = null; - m_GOETester = null; - } - - /** - * Used to create an instance of a specific classifier. - * - * @return a suitably configured Classifier value - */ - public abstract Classifier getClassifier(); - - /** - * tests whether the toString method of the classifier works even though the - * classifier hasn't been built yet. - */ - public void testToString() { - boolean[] result; - - result = m_Tester.testToString(); - - if (!result[0]) { - fail("Error in toString() method!"); - } - } - - /** - * tests whether the scheme declares a serialVersionUID. - */ - public void testSerialVersionUID() { - boolean[] result; - - result = m_Tester.declaresSerialVersionUID(); - - if (!result[0]) { - fail("Doesn't declare serialVersionUID!"); - } - } - - /** - * tests the listing of the options - */ - public void testListOptions() { - if (!m_OptionTester.checkListOptions()) { - fail("Options cannot be listed via listOptions."); - } - } - - /** - * tests the setting of the options - */ - public void testSetOptions() { - if (!m_OptionTester.checkSetOptions()) { - fail("setOptions method failed."); - } - } - - /** - * tests whether the default settings are processed correctly - */ - public void testDefaultOptions() { - if (!m_OptionTester.checkDefaultOptions()) { - fail("Default options were not processed correctly."); - } - } - - /** - * tests whether there are any remaining options - */ - public void testRemainingOptions() { - if (!m_OptionTester.checkRemainingOptions()) { - fail("There were 'left-over' options."); - } - } - - /** - * tests the whether the user-supplied options stay the same after setting. - * getting, and re-setting again. - * - * @see #getOptionTester() - */ - public void testCanonicalUserOptions() { - if (!m_OptionTester.checkCanonicalUserOptions()) { - fail("setOptions method failed"); - } - } - - /** - * tests the resetting of the options to the default ones - */ - public void testResettingOptions() { - if (!m_OptionTester.checkSetOptions()) { - fail("Resetting of options failed"); - } - } - - /** - * tests for a globalInfo method - */ - public void testGlobalInfo() { - if (!m_GOETester.checkGlobalInfo()) { - fail("No globalInfo method"); - } - } - - /** - * tests the tool tips - */ - public void testToolTips() { - if (!m_GOETester.checkToolTips()) { - fail("Tool tips inconsistent"); - } - } - - /** - * Returns whether a regression test should be executed. - * - * @return true if regression test - */ - protected boolean hasRegressionTest() { - return true; - } - - /** - * Returns the filenames of the datasets for the regression test (train). - * - * @return the filenames - */ - protected String[] getRegressionTrainFiles() { - return new String[]{"Music-train.arff"}; - } - - /** - * Returns the filenames of the datasets for the regression test (test). - * - * @return the filenames - */ - protected String[] getRegressionTestFiles() { - return new String[]{"Music-test.arff"}; - } - - /** - * Returns the data to use in the regression test. - * - * @param files the files to load - * @return the data - */ - protected Instances[] getRegressionData(String[] files) { - Instances[] result; - int i; - - result = new Instances[files.length]; - - for (i = 0; i < files.length; i++) { - try { - result[i] = loadData(files[i]); - } catch (Exception e) { - System.err.println("Failed to load data: " + files[i]); - e.printStackTrace(); - return new Instances[0]; - } - try { - MLUtils.prepareData(result[i]); - } - catch (Exception e) { - System.err.println("Failed to prepare data: " + files[i]); - e.printStackTrace(); - return new Instances[0]; - } - } - - return result; - } - - /** - * Returns the setups for the regression tests. - * - * @return the configured classifier(s) - */ - protected MultiLabelClassifier[] getRegressionSetups() { - return new MultiLabelClassifier[]{(MultiLabelClassifier) getClassifier()}; - } - - /** - * Turns the results from the regression test into a string. - * - * @param result the result to process - * @return the generated string - */ - protected String postProcessRegressionResults(Result result) { - StringBuilder processed; - String[] lines; - - processed = new StringBuilder(); - lines = result.toString().split("\n"); - for (String line: lines) { - if (line.toLowerCase().contains("time")) - continue; - if (processed.length() > 0) - processed.append("\n"); - processed.append(line); - } - - return processed.toString(); - } - - /** - * Performs a regression test, if enabled. - * - * @see #hasRegressionTest() - */ - public void testRegression() { - Instances[] train; - Instances[] test; - MultiLabelClassifier[] setups; - int i; - Evaluation eval; - Result result; - Regression regression; - String diff; - - if (!hasRegressionTest()) - return; - - train = getRegressionData(getRegressionTrainFiles()); - test = getRegressionData(getRegressionTestFiles()); - setups = getRegressionSetups(); - assertEquals("number of train datasets and setups differ", setups.length, train.length); - assertEquals("number of test datasets and setups differ", setups.length, test.length); - - regression = new Regression(getClassifier().getClass()); - for (i = 0; i < setups.length; i++) { - try { - eval = new Evaluation(); - result = eval.evaluateModel(setups[i], train[i], test[i]); - regression.println(postProcessRegressionResults(result)); - } - catch (Exception e) { - System.err.println("Failed to evaluate classifier #" + i); - e.printStackTrace(); - fail("Failed to evaluate classifier #" + i + ": " + e); - } - } - try { - diff = regression.diff(); - if (diff == null) - System.err.println("Warning: No reference available, creating."); - else if (!diff.equals("")) { - fail("Regression test failed. Difference:\n" + diff); - } - } - catch (Exception ex) { - System.err.println("Problem during regression testing:"); - ex.printStackTrace(); - fail("Problem during regression testing.\n" + ex); - } - } - - /** - * Loads the dataset from disk. - * - * @param file the dataset to load (e.g., "weka/classifiers/data/something.arff") - * @throws Exception if loading fails, e.g., file does not exit - */ - public static Instances loadData(String file) throws Exception { - return ConverterUtils.DataSource.read(file); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/AbstractMultiLabelClassifierTest.java b/src/test/java/meka/classifiers/multilabel/AbstractMultiLabelClassifierTest.java deleted file mode 100644 index daf76e0b..00000000 --- a/src/test/java/meka/classifiers/multilabel/AbstractMultiLabelClassifierTest.java +++ /dev/null @@ -1,42 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/** - * AbstractMultiLabelClassifierTest.java - * Copyright (C) 2017 University of Waikato, Hamilton, NZ - */ - -package meka.classifiers.multilabel; - -import meka.classifiers.AbstractMekaClassifierTest; - -/** - * Ancestor for multi-label tests. - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision$ - */ -public abstract class AbstractMultiLabelClassifierTest - extends AbstractMekaClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public AbstractMultiLabelClassifierTest(String name) { - super(name); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/BCCTest.java b/src/test/java/meka/classifiers/multilabel/BCCTest.java deleted file mode 100644 index 8a9a3af7..00000000 --- a/src/test/java/meka/classifiers/multilabel/BCCTest.java +++ /dev/null @@ -1,76 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; -import weka.core.Instances; - -/** - * Tests BCC. Run from the command line with:

- * java meka.classifiers.multilabel.BCCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class BCCTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BCCTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BCC(); - } - - public void testEvaluation() { - System.out.println("Testing Evaluation"); - Instances D = null; - try { - D = loadData("Music.arff"); - } catch(Exception e) { - System.err.println(" Failed to Load "); - } - //Assert.assertEquals("Result 1", D.classIndex(), 6); - //Assert.assertEquals("Result 1", D.classIndex(), 3); - } - - public static Test suite() { - return new TestSuite(BCCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/BPNNTest.java b/src/test/java/meka/classifiers/multilabel/BPNNTest.java deleted file mode 100644 index 5da52ae3..00000000 --- a/src/test/java/meka/classifiers/multilabel/BPNNTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests BPNN. Run from the command line with:

- * java meka.classifiers.multilabel.BPNNTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class BPNNTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BPNNTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BPNN(); - } - - public static Test suite() { - return new TestSuite(BPNNTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/BRTest.java b/src/test/java/meka/classifiers/multilabel/BRTest.java deleted file mode 100644 index 6a356ded..00000000 --- a/src/test/java/meka/classifiers/multilabel/BRTest.java +++ /dev/null @@ -1,75 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; -import weka.core.Instances; - -/** - * Tests BR. Run from the command line with:

- * java meka.classifiers.multilabel.BRTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class BRTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BRTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BR(); - } - - public void testEvaluation() { - System.out.println("Testing Evaluation"); - Instances D = null; - try { - D = loadData("Music.arff"); - } catch(Exception e) { - System.err.println(" Failed to Load "); - } - //Assert.assertEquals("Result 1", D.classIndex(), 6); - //Assert.assertEquals("Result 1", D.classIndex(), 3); - } - - public static Test suite() { - return new TestSuite(BRTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/BRqTest.java b/src/test/java/meka/classifiers/multilabel/BRqTest.java deleted file mode 100644 index 6ccaad9e..00000000 --- a/src/test/java/meka/classifiers/multilabel/BRqTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests BRq. Run from the command line with:

- * java meka.classifiers.multilabel.BRqTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class BRqTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BRqTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BRq(); - } - - public static Test suite() { - return new TestSuite(BRqTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/CCMethodsTests.java b/src/test/java/meka/classifiers/multilabel/CCMethodsTests.java deleted file mode 100644 index 69166f45..00000000 --- a/src/test/java/meka/classifiers/multilabel/CCMethodsTests.java +++ /dev/null @@ -1,127 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestCase; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.meta.EnsembleML; -import meka.core.Result; -import weka.classifiers.functions.SMO; - -/** - * EvaluationTests. Run from the command line with:

- * java meka.classifiers.multilabel.EvaluationTests - * - * @author Jesse Read (jesse@tsc.uc3m.es) - * @version $Revision: 66 $ - */ -public class CCMethodsTests extends TestCase { - - public CCMethodsTests(String s) { - super(s); - } - - public static Test suite() { - return new TestSuite(CCMethodsTests.class); - } - - protected void setUp(){ - // Preparation of the unit tests - } - - protected void tearDown(){ - // Teardown for data used by the unit tests - } - - public void testsCC() { - - // Test BR - BR br = new BR(); - br.setClassifier(new SMO()); - Result r = EvaluationTests.cvEvaluateClassifier(br); - assertEquals("BR Accuracy Correct", "0.493 +/- 0.036", r.getMeasurement("Accuracy")); - - // Test EBR - EnsembleML ebr = new EnsembleML(); - ebr.setClassifier(br); - Result Er = EvaluationTests.cvEvaluateClassifier(ebr); - assertEquals("EBR Accuracy Correct", "0.557 +/- 0.04 ", Er.getMeasurement("Accuracy")); - } - - public void testMCC() { - // Test MCC (with SMO -- -M) - System.out.println("Test MCC"); - MCC h = new MCC(); - SMO smo = new SMO(); - smo.setBuildCalibrationModels(true); - h.setClassifier(smo); - Result r = EvaluationTests.cvEvaluateClassifier(h); - assertEquals("MCC Accuracy Correct", "0.561 +/- 0.035", r.getMeasurement("Accuracy")); - } - - public void testPMCC() { - // Test MCC (with SMO -- -M) - System.out.println("Test PMCC"); - PMCC h = new PMCC(); - h.setM(10); - h.setChainIterations(50); - h.setInferenceIterations(20); - SMO smo = new SMO(); - smo.setBuildCalibrationModels(true); - h.setClassifier(smo); - Result r = EvaluationTests.cvEvaluateClassifier(h); - assertEquals("PMCC Accuracy Correct", "0.594 +/- 0.029", r.getMeasurement("Accuracy")); - } - - public void testPCC() { - // Test PCC (with SMO -- -M) - System.out.println("Test PCC"); - PCC h = new PCC(); - SMO smo = new SMO(); - smo.setBuildCalibrationModels(true); - h.setClassifier(smo); - Result r = EvaluationTests.cvEvaluateClassifier(h); - assertEquals("PCC Accuracy Correct", "0.565 +/- 0.032", r.getMeasurement("Accuracy")); - } - - public void testCT() { - // Test CT (with SMO -- -M) - System.out.println("Test CT"); - CT h = new CT(); - SMO smo = new SMO(); - smo.setBuildCalibrationModels(true); - h.setClassifier(smo); - h.setInferenceIterations(10); - h.setChainIterations(10); - Result r = EvaluationTests.cvEvaluateClassifier(h); - //System.out.println("CT ACC: "+r.getMeasurement("Accuracy")); - assertEquals("CT Accuracy Correct", "0.56 +/- 0.034", r.getMeasurement("Accuracy")); - } - - public void testCDT() { - // Test CDT (with SMO -- -M) - System.out.println("Test CDT"); - CDT h = new CDT(); - SMO smo = new SMO(); - smo.setBuildCalibrationModels(true); - h.setClassifier(smo); - Result r = EvaluationTests.cvEvaluateClassifier(h); - //System.out.println("CDT ACC: "+r.getMeasurement("Accuracy")); - assertEquals("CDT Accuracy Correct", "0.519 +/- 0.039", r.getMeasurement("Accuracy") ); - } - -} diff --git a/src/test/java/meka/classifiers/multilabel/CCTest.java b/src/test/java/meka/classifiers/multilabel/CCTest.java deleted file mode 100644 index 31465b1c..00000000 --- a/src/test/java/meka/classifiers/multilabel/CCTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests CC. Run from the command line with:

- * java meka.classifiers.multilabel.CCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CCTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CCTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CC(); - } - - public static Test suite() { - return new TestSuite(CCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/CCqTest.java b/src/test/java/meka/classifiers/multilabel/CCqTest.java deleted file mode 100644 index 6c7376da..00000000 --- a/src/test/java/meka/classifiers/multilabel/CCqTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests CCq. Run from the command line with:

- * java meka.classifiers.multilabel.CCqTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CCqTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CCqTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CCq(); - } - - public static Test suite() { - return new TestSuite(CCqTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/CDNTest.java b/src/test/java/meka/classifiers/multilabel/CDNTest.java deleted file mode 100644 index b7666763..00000000 --- a/src/test/java/meka/classifiers/multilabel/CDNTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests CDN. Run from the command line with:

- * java meka.classifiers.multilabel.CDNTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CDNTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CDNTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CDN(); - } - - public static Test suite() { - return new TestSuite(CDNTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/CDTTest.java b/src/test/java/meka/classifiers/multilabel/CDTTest.java deleted file mode 100644 index 860705bf..00000000 --- a/src/test/java/meka/classifiers/multilabel/CDTTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests CDT. Run from the command line with:

- * java meka.classifiers.multilabel.CDTTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CDTTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CDTTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CDT(); - } - - public static Test suite() { - return new TestSuite(CDTTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/CTTest.java b/src/test/java/meka/classifiers/multilabel/CTTest.java deleted file mode 100644 index 916031d9..00000000 --- a/src/test/java/meka/classifiers/multilabel/CTTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests CT. Run from the command line with:

- * java meka.classifiers.multilabel.CTTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CTTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CTTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CT(); - } - - public static Test suite() { - return new TestSuite(CTTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/DBPNNTest.java b/src/test/java/meka/classifiers/multilabel/DBPNNTest.java deleted file mode 100644 index 63338cb2..00000000 --- a/src/test/java/meka/classifiers/multilabel/DBPNNTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests DBPNN. Run from the command line with:

- * java meka.classifiers.multilabel.DBPNNTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class DBPNNTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public DBPNNTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new DBPNN(); - } - - public static Test suite() { - return new TestSuite(DBPNNTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/DeepMethodsTests.java b/src/test/java/meka/classifiers/multilabel/DeepMethodsTests.java deleted file mode 100644 index c8e589cf..00000000 --- a/src/test/java/meka/classifiers/multilabel/DeepMethodsTests.java +++ /dev/null @@ -1,91 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestCase; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.meta.DeepML; -import meka.core.Result; -import weka.classifiers.functions.SMO; -import weka.core.Utils; - -/** - * EvaluationTests. Run from the command line with:

- * java meka.classifiers.multilabel.EvaluationTests - * - * @author Jesse Read (jesse@tsc.uc3m.es) - * @version $Revision: 66 $ - */ -public class DeepMethodsTests extends TestCase { - - public DeepMethodsTests(String s) { - super(s); - System.out.println("Evaluation Test"); - } - - public static Test suite() { - return new TestSuite(DeepMethodsTests.class); - } - - protected void setUp(){ - // Preparation of the unit tests - } - - protected void tearDown(){ - // Teardown for data used by the unit tests - } - - public void testDeepML() { - System.out.println("Test Stacked Boltzmann Machines with an off-the-shelf multi-label classifier"); - DeepML dbn = new DeepML(); - - MCC h = new MCC(); - SMO smo = new SMO(); - smo.setBuildCalibrationModels(true); - h.setClassifier(smo); - - dbn.setClassifier(h); - dbn.setE(100); - dbn.setH(30); - - Result r = EvaluationTests.cvEvaluateClassifier(dbn); - System.out.println("DeepML + MCC" + r.getMeasurement("Accuracy")); - String s = (String)r.getMeasurement("Accuracy"); - assertTrue("DeepML+MCC Accuracy Correct", s.startsWith("0.53")); // Good enough - } - - public void testDBPNN() { - - System.out.println("Test Back Prop Neural Network with pre-trained weights (via RBM)"); - DBPNN dbn = new DBPNN(); - dbn.setClassifier(new BPNN()); - dbn.setDebug(true); - - try { - dbn.setOptions(Utils.splitOptions("-H 30 -E 500 -r 0.1 -m 0.2")); - } catch(Exception e) { - System.err.println("Fatal Error"); - e.printStackTrace(); - System.exit(1); - } - Result r = EvaluationTests.cvEvaluateClassifier(dbn); - String s = (String)r.getMeasurement("Accuracy"); - System.out.println("DBPNN + _" + r.getMeasurement("Accuracy")); - assertTrue("DBPNN Accuracy Correct", s.equals("0.556 +/- 0.038")); - } - -} diff --git a/src/test/java/meka/classifiers/multilabel/EvaluationTests.java b/src/test/java/meka/classifiers/multilabel/EvaluationTests.java deleted file mode 100644 index 16972a59..00000000 --- a/src/test/java/meka/classifiers/multilabel/EvaluationTests.java +++ /dev/null @@ -1,201 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestCase; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.incremental.CCUpdateable; -import meka.classifiers.incremental.IncrementalEvaluation; -import meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable; -import meka.classifiers.multilabel.meta.BaggingML; -import meka.core.MLUtils; -import meka.core.Metrics; -import meka.core.Result; -import weka.classifiers.functions.Logistic; -import weka.classifiers.functions.SMO; -import weka.classifiers.lazy.IBk; -import weka.core.Instances; -import weka.core.converters.ConverterUtils.DataSource; - -/** - * EvaluationTests. Run from the command line with:

- * java meka.classifiers.multilabel.EvaluationTests - * - * @author Jesse Read (jesse@tsc.uc3m.es) - * @version $Revision: 66 $ - */ -public class EvaluationTests extends TestCase { - - public EvaluationTests(String s) { - super(s); - } - - public static Test suite() { - return new TestSuite(EvaluationTests.class); - } - - protected void setUp(){ - // Preparation of the unit tests - } - - protected void tearDown(){ - // Teardown for data used by the unit tests - } - - public static Instances loadInstances(String fn) { - try { - Instances D = DataSource.read("src/test/resources/" + fn); - MLUtils.prepareData(D); - return D; - } catch(Exception e) { - System.err.println(""); - e.printStackTrace(); - System.exit(1); - } - return null; - } - - public void testRepeatable() { - // Load Music - Instances D = loadInstances("Music.arff"); - Instances D_train = new Instances(D,0,400); - Instances D_test = new Instances(D,400,D.numInstances()-400); - // Train ECC - MultiLabelClassifier h = makeECC(); - // Eval - try { - Result r1 = Evaluation.evaluateModel(h, D_train, D_test, "PCut1"); - Result r2 = Evaluation.evaluateModel(h, D_train, D_test, "PCut1"); - assertTrue("Experiments are Repeatable (with same result)", r1.getMeasurement("Accuracy").equals(r2.getMeasurement("Accuracy"))); - } catch(Exception e) { - e.printStackTrace(); - } - } - - public MultiLabelClassifier makeECC() { - BaggingML h = new BaggingML(); - CC cc = new CC(); - cc.setClassifier(new SMO()); - h.setClassifier(cc); - return h; - } - - public void testMulanFormat() { - Result r1 = null, r2 = null; - // Load Music-train - Instances D_train = loadInstances("Music-train.arff"); - // Load Music-test - Instances D_test = loadInstances("Music-test.arff"); - // Train CC - CC h = new CC(); - h.setClassifier(new SMO()); - // Eval - try { - r1 = Evaluation.evaluateModel(h, D_train, D_test, "PCut1"); - } catch(Exception e) { - e.printStackTrace(); - } - - // Load Music - Instances D = loadInstances("Music.arff"); - D_train = new Instances(D,0,491); - D_test = new Instances(D,491,D.numInstances()-491); - // Eval - try { - r2 = Evaluation.evaluateModel(h, D_train, D_test, "PCut1"); - } catch(Exception e) { - e.printStackTrace(); - } - - assertTrue("Mulan Format OK? (same result?)", r1.getMeasurement("Accuracy").equals(r2.getMeasurement("Accuracy"))); - } - - public void testIncrementalEvaluation() { - // Batch - Result r1 = null, r2 = null; - // Load Data - Instances D = loadInstances("Music.arff"); - // Train ECCUpdateable - BaggingMLUpdateable h = new BaggingMLUpdateable(); - CCUpdateable cc = new CCUpdateable(); - cc.setClassifier(new IBk()); - h.setClassifier(cc); - try { - r1 = IncrementalEvaluation.evaluateModel(h,D); - r2 = IncrementalEvaluation.evaluateModel(h,D); - } catch(Exception e) { - System.err.println("FAILED TO GET r1, r2"); - e.printStackTrace(); - } - // Good @TODO - //assertTrue("Inc. Eval OK? ?", r1.info.get("Accuracy").equals("0.486 +/- 0.045")); - // The same? - if (r1==null) - System.out.println("r1 is null"); - if (r2==null) - System.out.println("r2 is null"); - - assertTrue("Inc. Eval the same?", ((String)r1.getMeasurement("Accuracy")).equals(((String)r2.getMeasurement("Accuracy")))); - // test/train - - // compare with non-ss - } - - // TESTS - public void testMetrics() { - double log_loss_L = 0.0; - double w[] = new double[]{0.5,0.0,0.4,0.2}; - double y[] = new double[]{1.0,0.0,0.0,1.0}; - int L = w.length; - double lim = Math.log(100); - for(int j = 0; j < L; j++) { - log_loss_L += Metrics.L_LogLoss(y[j],w[j],lim); - } - assertTrue("Log Loss OK?", log_loss_L == 2.8134107167600364); - } - - public void testThreshold() { - BaggingML h = new BaggingML(); - CC cc = new CC(); - cc.setClassifier(new Logistic()); - h.setClassifier(cc); - Result r = EvaluationTests.cvEvaluateClassifier(h,"0.5"); - assertTrue("PCutL Thresholds OK?", r.info.get("Threshold").equals("[0.4, 0.4, 0.4, 0.4, 0.6, 0.6]") ); - } - - public static Result cvEvaluateClassifier(MultiLabelClassifier h) { - return cvEvaluateClassifier(h,"0.5"); - } - - public static Result cvEvaluateClassifier(MultiLabelClassifier h, String top) { - Instances D = null; - try { - D = EvaluationTests.loadInstances("Music.arff"); - Result result = Evaluation.cvModel(h,D,5,top,"7"); - return result; - } catch(Exception e) { - System.err.println(""); - e.printStackTrace(); - return null; - } - } - - public static void main(String[] args) { - junit.textui.TestRunner.run(suite()); - } -} - diff --git a/src/test/java/meka/classifiers/multilabel/FWTest.java b/src/test/java/meka/classifiers/multilabel/FWTest.java deleted file mode 100644 index caa3d94d..00000000 --- a/src/test/java/meka/classifiers/multilabel/FWTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests FW. Run from the command line with:

- * java meka.classifiers.multilabel.FWTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class FWTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public FWTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new FW(); - } - - public static Test suite() { - return new TestSuite(FWTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/HASELTest.java b/src/test/java/meka/classifiers/multilabel/HASELTest.java deleted file mode 100644 index e547c47a..00000000 --- a/src/test/java/meka/classifiers/multilabel/HASELTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests FW. Run from the command line with:

- * java meka.classifiers.multilabel.FWTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class HASELTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public HASELTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new FW(); - } - - public static Test suite() { - return new TestSuite(HASELTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/LCTest.java b/src/test/java/meka/classifiers/multilabel/LCTest.java deleted file mode 100644 index ff018f2a..00000000 --- a/src/test/java/meka/classifiers/multilabel/LCTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests LC. Run from the command line with:

- * java meka.classifiers.multilabel.LCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class LCTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public LCTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new LC(); - } - - public static Test suite() { - return new TestSuite(LCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/LPMethodsTests.java b/src/test/java/meka/classifiers/multilabel/LPMethodsTests.java deleted file mode 100644 index 58d26395..00000000 --- a/src/test/java/meka/classifiers/multilabel/LPMethodsTests.java +++ /dev/null @@ -1,86 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestCase; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.meta.EnsembleML; -import meka.core.Result; -import meka.test.TestHelper; -import weka.classifiers.functions.SMO; - -/** - * EvaluationTests. Run from the command line with:

- * java meka.classifiers.multilabel.EvaluationTests - * - * @author Jesse Read (jesse@tsc.uc3m.es) - * @version $Revision: 66 $ - */ -public class LPMethodsTests extends TestCase { - - public LPMethodsTests(String s) { - super(s); - } - - public static Test suite() { - return new TestSuite(LPMethodsTests.class); - } - - protected void setUp(){ - // Preparation of the unit tests - } - - protected void tearDown(){ - // Teardown for data used by the unit tests - } - - public void testLC() { - - Result r = null; - - // Test LC - LC lc = new LC(); - lc.setClassifier(new SMO()); - r = EvaluationTests.cvEvaluateClassifier(lc); - String s = (String)r.getMeasurement("Accuracy"); - System.out.println("LC "+s); - TestHelper.assertAlmostEquals("LC Accuracy Correct", "0.568 +/- 0.032", (String)s, 1); - - // Test PS (0,0) -- should be identical - PS ps = new PS(); - ps.setClassifier(new SMO()); - r = EvaluationTests.cvEvaluateClassifier(ps); - System.out.println("PS "+r.getMeasurement("Accuracy")); - assertTrue("PS(0,0) Accuracy Identical to LC", s.equals(r.getMeasurement("Accuracy"))); - - // Test PS (3,1) -- should be faster - ps.setP(3); - ps.setN(1); - - r = EvaluationTests.cvEvaluateClassifier(ps); - System.out.println("PS(3,1) "+r.getMeasurement("Accuracy")); - TestHelper.assertAlmostEquals("PS(3,1) Accuracy Correct", "0.565 +/- 0.04", (String)r.getMeasurement("Accuracy"), 1); - - // Test EPS - EnsembleML eps = new EnsembleML(); - eps.setClassifier(ps); - r = EvaluationTests.cvEvaluateClassifier(eps); - System.out.println("EPS "+r.getMeasurement("Accuracy")); - TestHelper.assertAlmostEquals("EPS Accuracy Correct", "0.574 +/- 0.042", (String)r.getMeasurement("Accuracy"), 1); - } - -} diff --git a/src/test/java/meka/classifiers/multilabel/MCCTest.java b/src/test/java/meka/classifiers/multilabel/MCCTest.java deleted file mode 100644 index dafffd40..00000000 --- a/src/test/java/meka/classifiers/multilabel/MCCTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests MCC. Run from the command line with:

- * java meka.classifiers.multilabel.MCCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class MCCTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MCCTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MCC(); - } - - public static Test suite() { - return new TestSuite(MCCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/MLCBMaDTest.java b/src/test/java/meka/classifiers/multilabel/MLCBMaDTest.java deleted file mode 100644 index 210318af..00000000 --- a/src/test/java/meka/classifiers/multilabel/MLCBMaDTest.java +++ /dev/null @@ -1,77 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; -import weka.core.Instances; - -/** - * Tests MLCBMaD. Run from the command line with:

- * java meka.classifiers.multilabel.MLCBMaDTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class MLCBMaDTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MLCBMaDTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - MLCBMaD mlcbmad = new MLCBMaD(); - mlcbmad.setSize(5); - return mlcbmad; - } - - public void testEvaluation() { - System.out.println("Testing Evaluation"); - Instances D = null; - try { - D = loadData("Music.arff"); - } catch(Exception e) { - System.err.println(" Failed to Load "); - } - //Assert.assertEquals("Result 1", D.classIndex(), 6); - //Assert.assertEquals("Result 1", D.classIndex(), 3); - } - - public static Test suite() { - return new TestSuite(MLCBMaDTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/MULANTest.java b/src/test/java/meka/classifiers/multilabel/MULANTest.java deleted file mode 100644 index 64130a5b..00000000 --- a/src/test/java/meka/classifiers/multilabel/MULANTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests MULAN. Run from the command line with:

- * java meka.classifiers.multilabel.MULANTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MULANTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MULANTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MULAN(); - } - - public static Test suite() { - return new TestSuite(MULANTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/MajorityLabelsetTest.java b/src/test/java/meka/classifiers/multilabel/MajorityLabelsetTest.java deleted file mode 100644 index ce6edb51..00000000 --- a/src/test/java/meka/classifiers/multilabel/MajorityLabelsetTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests MajorityLabelset. Run from the command line with:

- * java meka.classifiers.multilabel.MajorityLabelsetTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MajorityLabelsetTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MajorityLabelsetTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MajorityLabelset(); - } - - public static Test suite() { - return new TestSuite(MajorityLabelsetTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/ManiacTest.java b/src/test/java/meka/classifiers/multilabel/ManiacTest.java deleted file mode 100644 index db8ed8de..00000000 --- a/src/test/java/meka/classifiers/multilabel/ManiacTest.java +++ /dev/null @@ -1,78 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; -import weka.core.Instances; - -/** - * Tests Maniac. Run from the command line with:

- * java meka.classifiers.multilabel.ManiacTest - * - * @author Joerg Wicekr (me@joerg-wicker.org) - */ -public class ManiacTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public ManiacTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - Maniac maniac = new Maniac(); - maniac.setCompression(0.85); - maniac.setNumberAutoencoders(1); - return maniac; - } - - public void testEvaluation() { - System.out.println("Testing Evaluation"); - Instances D = null; - try { - D = loadData("Music.arff"); - } catch(Exception e) { - System.err.println(" Failed to Load "); - } - //Assert.assertEquals("Result 1", D.classIndex(), 6); - //Assert.assertEquals("Result 1", D.classIndex(), 3); - } - - public static Test suite() { - return new TestSuite(ManiacTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/MetaMethodsTests.java b/src/test/java/meka/classifiers/multilabel/MetaMethodsTests.java deleted file mode 100644 index a2605b31..00000000 --- a/src/test/java/meka/classifiers/multilabel/MetaMethodsTests.java +++ /dev/null @@ -1,73 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import junit.framework.TestCase; - -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; -import meka.classifiers.multilabel.meta.*; -import weka.classifiers.functions.SMO; -import weka.core.converters.ConverterUtils.DataSource; -import meka.core.Result; -import meka.core.MLEvalUtils; - -import meka.gui.explorer.Explorer; - -/** - * EvaluationTests. Run from the command line with:

- * java meka.classifiers.multilabel.EvaluationTests - * - * @author Jesse Read (jesse@tsc.uc3m.es) - * @version $Revision: 66 $ - */ -public class MetaMethodsTests extends TestCase { - - public MetaMethodsTests(String s) { - super(s); - System.out.println("Evaluation Test"); - } - - public static Test suite() { - return new TestSuite(MetaMethodsTests.class); - } - - protected void setUp(){ - // Preparation of the unit tests - } - - protected void tearDown(){ - // Teardown for data used by the unit tests - } - - public void testEBR() { - - // Test BR - BR br = new BR(); - br.setClassifier(new SMO()); - Result r = EvaluationTests.cvEvaluateClassifier(br); - assertTrue("BR Accuracy Correct", r.getMeasurement("Accuracy").equals("0.493 +/- 0.036") ); - - // Test EBR - EnsembleML ebr = new EnsembleML(); - ebr.setClassifier(br); - Result Er = EvaluationTests.cvEvaluateClassifier(ebr); - assertTrue("EBR Accuracy Correct", Er.getMeasurement("Accuracy").equals("0.557 +/- 0.04 ") ); - } - -} diff --git a/src/test/java/meka/classifiers/multilabel/MiscMethodsTests.java b/src/test/java/meka/classifiers/multilabel/MiscMethodsTests.java deleted file mode 100644 index 7394f928..00000000 --- a/src/test/java/meka/classifiers/multilabel/MiscMethodsTests.java +++ /dev/null @@ -1,94 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import junit.framework.TestCase; - -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; -import meka.classifiers.multilabel.meta.*; -import weka.classifiers.functions.*; -import weka.core.converters.ConverterUtils.DataSource; -import meka.core.Result; -import meka.core.MLEvalUtils; - -import meka.gui.explorer.Explorer; - -/** - * EvaluationTests. Run from the command line with:

- * java meka.classifiers.multilabel.EvaluationTests - * - * @author Jesse Read (jesse@tsc.uc3m.es) - * @version $Revision: 66 $ - */ -public class MiscMethodsTests extends TestCase { - - public MiscMethodsTests(String s) { - super(s); - } - - public static Test suite() { - return new TestSuite(MiscMethodsTests.class); - } - - protected void setUp(){ - // Preparation of the unit tests - } - - protected void tearDown(){ - // Teardown for data used by the unit tests - } - - public void testRT() { - - // Test RT - System.out.println("Test RT"); - RT rt = new RT(); - rt.setClassifier(new Logistic()); - Result r = EvaluationTests.cvEvaluateClassifier(rt); - assertTrue("RT Accuracy Correct", r.output.get("Accuracy").equals("0.5 +/- 0.04 ") ); - } - - public void testMULAN() { - // Test MULAN - System.out.println("Test MULAN"); - MULAN mulan = new MULAN(); - // ... RAkEL - mulan.setMethod("RAkEL2"); - mulan.setClassifier(new SMO()); - Result r; - r = EvaluationTests.cvEvaluateClassifier(mulan); - System.out.println("MULAN (RAkEL): "+r.output.get("Accuracy")); - assertTrue("MULAN (RAkEL) Accuracy Correct", ((String)r.output.get("Accuracy")).startsWith("0.58") ); - // ... MLkNN - mulan.setMethod("MLkNN"); - r = EvaluationTests.cvEvaluateClassifier(mulan); - System.out.println("MULAN (MLkNN): "+r.output.get("Accuracy")); - assertTrue("MULAN (MLkNN) Accuracy Correct", r.output.get("Accuracy").equals("0.561 +/- 0.035") ); - // ... BR (and , vs MEKA's BR) - mulan.setMethod("BR"); - r = EvaluationTests.cvEvaluateClassifier(mulan); - System.out.println("MULAN (BR): "+r.output.get("Accuracy")); - assertTrue("MULAN (BR) Accuracy Correct", r.output.get("Accuracy").equals("0.493 +/- 0.036") ); - BR br = new BR(); - br.setClassifier(new SMO()); - Result r_other = EvaluationTests.cvEvaluateClassifier(br); - assertTrue("MULAN BR Equal to MEKA BR", r.output.get("Accuracy").equals(r_other.output.get("Accuracy")) ); - } - -} diff --git a/src/test/java/meka/classifiers/multilabel/PCCTest.java b/src/test/java/meka/classifiers/multilabel/PCCTest.java deleted file mode 100644 index cc6c4a6d..00000000 --- a/src/test/java/meka/classifiers/multilabel/PCCTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests PCC. Run from the command line with:

- * java meka.classifiers.multilabel.PCCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class PCCTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public PCCTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new PCC(); - } - - public static Test suite() { - return new TestSuite(PCCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/PLSTTest.java b/src/test/java/meka/classifiers/multilabel/PLSTTest.java deleted file mode 100644 index be0afd2b..00000000 --- a/src/test/java/meka/classifiers/multilabel/PLSTTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests PLST. Run from the command line with:

- * java meka.classifiers.multilabel.PLSTTest - * - * @author Joerg Wicker (wicker@uni-mainz.de) - */ -public class PLSTTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public PLSTTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - PLST plst = new PLST(); - plst.setSize(3); - return plst; - } - - public static Test suite() { - return new TestSuite(PLSTTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/PMCCTest.java b/src/test/java/meka/classifiers/multilabel/PMCCTest.java deleted file mode 100644 index c35ee0cf..00000000 --- a/src/test/java/meka/classifiers/multilabel/PMCCTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests PMCC. Run from the command line with:

- * java meka.classifiers.multilabel.PMCCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class PMCCTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public PMCCTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new PMCC(); - } - - public static Test suite() { - return new TestSuite(PMCCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/PSTest.java b/src/test/java/meka/classifiers/multilabel/PSTest.java deleted file mode 100644 index 8a34a074..00000000 --- a/src/test/java/meka/classifiers/multilabel/PSTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.AbstractMekaClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests PS. Run from the command line with:

- * java meka.classifiers.multilabel.PSTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class PSTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public PSTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new PS(); - } - - public static Test suite() { - return new TestSuite(PSTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/PStTest.java b/src/test/java/meka/classifiers/multilabel/PStTest.java deleted file mode 100644 index f5a91087..00000000 --- a/src/test/java/meka/classifiers/multilabel/PStTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests PSt. Run from the command line with:

- * java meka.classifiers.multilabel.PStTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class PStTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public PStTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new PSt(); - } - - public static Test suite() { - return new TestSuite(PStTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/RAkELTest.java b/src/test/java/meka/classifiers/multilabel/RAkELTest.java deleted file mode 100644 index 9fc436e6..00000000 --- a/src/test/java/meka/classifiers/multilabel/RAkELTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests RAkEL. Run from the command line with:

- * java meka.classifiers.multilabel.RAkELTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class RAkELTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public RAkELTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new RAkEL(); - } - - public static Test suite() { - return new TestSuite(RAkELTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/RAkELdTest.java b/src/test/java/meka/classifiers/multilabel/RAkELdTest.java deleted file mode 100644 index 0597d584..00000000 --- a/src/test/java/meka/classifiers/multilabel/RAkELdTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2015 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests RAkELd. Run from the command line with:

- * java meka.classifiers.multilabel.RAkELdTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 117 $ - */ -public class RAkELdTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public RAkELdTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new RAkELd(); - } - - public static Test suite() { - return new TestSuite(RAkELdTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/RTTest.java b/src/test/java/meka/classifiers/multilabel/RTTest.java deleted file mode 100644 index 67b01e35..00000000 --- a/src/test/java/meka/classifiers/multilabel/RTTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests RT. Run from the command line with:

- * java meka.classifiers.multilabel.RTTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class RTTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public RTTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new RT(); - } - - public static Test suite() { - return new TestSuite(RTTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/incremental/BRUpdateableTest.java b/src/test/java/meka/classifiers/multilabel/incremental/BRUpdateableTest.java deleted file mode 100644 index 7317fe97..00000000 --- a/src/test/java/meka/classifiers/multilabel/incremental/BRUpdateableTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.incremental; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests BRUpdateable. Run from the command line with:

- * java meka.classifiers.multilabel.BRUpdateableTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class BRUpdateableTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BRUpdateableTest(String name) { - super(name); - } - - /** - * Creates a default BRUpdateable. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BRUpdateable(); - } - - public static Test suite() { - return new TestSuite(BRUpdateableTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/incremental/CCUpdateableTest.java b/src/test/java/meka/classifiers/multilabel/incremental/CCUpdateableTest.java deleted file mode 100644 index 874e704d..00000000 --- a/src/test/java/meka/classifiers/multilabel/incremental/CCUpdateableTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.incremental; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests CCUpdateable. Run from the command line with:

- * java meka.classifiers.multilabel.CCUpdateableTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CCUpdateableTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CCUpdateableTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CCUpdateable(); - } - - public static Test suite() { - return new TestSuite(CCUpdateableTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateableTest.java b/src/test/java/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateableTest.java deleted file mode 100644 index 52c7f385..00000000 --- a/src/test/java/meka/classifiers/multilabel/incremental/MajorityLabelsetUpdateableTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.incremental; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests MajorityLabelsetUpdateable. Run from the command line with:

- * java meka.classifiers.multilabel.MajorityLabelsetUpdateableTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MajorityLabelsetUpdateableTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MajorityLabelsetUpdateableTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MajorityLabelsetUpdateable(); - } - - public static Test suite() { - return new TestSuite(MajorityLabelsetUpdateableTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/incremental/PSUpdateableTest.java b/src/test/java/meka/classifiers/multilabel/incremental/PSUpdateableTest.java deleted file mode 100644 index d286c7ec..00000000 --- a/src/test/java/meka/classifiers/multilabel/incremental/PSUpdateableTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.incremental; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests PSUpdateable. Run from the command line with:

- * java meka.classifiers.multilabel.PSUpdateableTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class PSUpdateableTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public PSUpdateableTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new PSUpdateable(); - } - - public static Test suite() { - return new TestSuite(PSUpdateableTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/incremental/RTUpdateableTest.java b/src/test/java/meka/classifiers/multilabel/incremental/RTUpdateableTest.java deleted file mode 100644 index d8cb444e..00000000 --- a/src/test/java/meka/classifiers/multilabel/incremental/RTUpdateableTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.incremental; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests RTUpdateable. Run from the command line with:

- * java meka.classifiers.multilabel.RTUpdateableTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class RTUpdateableTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public RTUpdateableTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new RTUpdateable(); - } - - public static Test suite() { - return new TestSuite(RTUpdateableTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/BaggingMLTest.java b/src/test/java/meka/classifiers/multilabel/meta/BaggingMLTest.java deleted file mode 100644 index b4fd8702..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/BaggingMLTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests BaggingML. Run from the command line with:

- * java meka.classifiers.multilabel.meta.BaggingMLTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class BaggingMLTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BaggingMLTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BaggingML(); - } - - public static Test suite() { - return new TestSuite(BaggingMLTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/BaggingMLdupTest.java b/src/test/java/meka/classifiers/multilabel/meta/BaggingMLdupTest.java deleted file mode 100644 index 7c8b6205..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/BaggingMLdupTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests BaggingMLdup. Run from the command line with:

- * java meka.classifiers.multilabel.meta.BaggingMLdupTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class BaggingMLdupTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BaggingMLdupTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BaggingMLdup(); - } - - public static Test suite() { - return new TestSuite(BaggingMLdupTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/CMTest.java b/src/test/java/meka/classifiers/multilabel/meta/CMTest.java deleted file mode 100644 index ddf26369..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/CMTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests CM. Run from the command line with:

- * java meka.classifiers.multilabel.meta.CMTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CMTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CMTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CM(); - } - - public static Test suite() { - return new TestSuite(CMTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/DeepMLTest.java b/src/test/java/meka/classifiers/multilabel/meta/DeepMLTest.java deleted file mode 100644 index db80c541..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/DeepMLTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests DeepML. Run from the command line with:

- * java meka.classifiers.multilabel.meta.DeepMLTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class DeepMLTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public DeepMLTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new DeepML(); - } - - public static Test suite() { - return new TestSuite(DeepMLTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/EMTest.java b/src/test/java/meka/classifiers/multilabel/meta/EMTest.java deleted file mode 100644 index af3bd42a..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/EMTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests EM. Run from the command line with:

- * java meka.classifiers.multilabel.meta.EMTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class EMTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public EMTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new EM(); - } - - public static Test suite() { - return new TestSuite(EMTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/EnsembleMLTest.java b/src/test/java/meka/classifiers/multilabel/meta/EnsembleMLTest.java deleted file mode 100644 index 3f6fb303..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/EnsembleMLTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests EnsembleML. Run from the command line with:

- * java meka.classifiers.multilabel.meta.EnsembleMLTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class EnsembleMLTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public EnsembleMLTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new EnsembleML(); - } - - public static Test suite() { - return new TestSuite(EnsembleMLTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/FilteredClassifierTest.java b/src/test/java/meka/classifiers/multilabel/meta/FilteredClassifierTest.java deleted file mode 100644 index 8639ee31..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/FilteredClassifierTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2017 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests FilteredClassifier. Run from the command line with:

- * java meka.classifiers.multilabel.meta.FilteredClassifierTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class FilteredClassifierTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public FilteredClassifierTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new FilteredClassifier(); - } - - public static Test suite() { - return new TestSuite(FilteredClassifierTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/MBRTest.java b/src/test/java/meka/classifiers/multilabel/meta/MBRTest.java deleted file mode 100644 index 42cca3f0..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/MBRTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests MBR. Run from the command line with:

- * java meka.classifiers.multilabel.meta.MBRTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MBRTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MBRTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MBR(); - } - - public static Test suite() { - return new TestSuite(MBRTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/MultiSearchTest.java b/src/test/java/meka/classifiers/multilabel/meta/MultiSearchTest.java deleted file mode 100644 index ac06e720..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/MultiSearchTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2017 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests MultiSearch. Run from the command line with:

- * java meka.classifiers.multilabel.meta.MultiSearchTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MultiSearchTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MultiSearchTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MultiSearch(); - } - - public static Test suite() { - return new TestSuite(MultiSearchTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/RandomSubspaceMLTest.java b/src/test/java/meka/classifiers/multilabel/meta/RandomSubspaceMLTest.java deleted file mode 100644 index cfc76e65..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/RandomSubspaceMLTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests RandomSubspaceML. Run from the command line with:

- * java meka.classifiers.multilabel.meta.RandomSubspaceMLTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class RandomSubspaceMLTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public RandomSubspaceMLTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new RandomSubspaceML(); - } - - public static Test suite() { - return new TestSuite(RandomSubspaceMLTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multilabel/meta/SubsetMapperTest.java b/src/test/java/meka/classifiers/multilabel/meta/SubsetMapperTest.java deleted file mode 100644 index c4712d57..00000000 --- a/src/test/java/meka/classifiers/multilabel/meta/SubsetMapperTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multilabel.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multilabel.AbstractMultiLabelClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests SubsetMapper. Run from the command line with:

- * java meka.classifiers.multilabel.meta.SubsetMapperTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class SubsetMapperTest - extends AbstractMultiLabelClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public SubsetMapperTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new SubsetMapper(); - } - - public static Test suite() { - return new TestSuite(SubsetMapperTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/AbstractMultiTargetClassifierTest.java b/src/test/java/meka/classifiers/multitarget/AbstractMultiTargetClassifierTest.java deleted file mode 100644 index a48c9722..00000000 --- a/src/test/java/meka/classifiers/multitarget/AbstractMultiTargetClassifierTest.java +++ /dev/null @@ -1,42 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/** - * AbstractMultiTargetClassifierTest.java - * Copyright (C) 2017 University of Waikato, Hamilton, NZ - */ - -package meka.classifiers.multitarget; - -import meka.classifiers.AbstractMekaClassifierTest; - -/** - * Ancestor for multi-label tests. - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision$ - */ -public abstract class AbstractMultiTargetClassifierTest - extends AbstractMekaClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public AbstractMultiTargetClassifierTest(String name) { - super(name); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/CCTest.java b/src/test/java/meka/classifiers/multitarget/CCTest.java deleted file mode 100644 index b0d3025f..00000000 --- a/src/test/java/meka/classifiers/multitarget/CCTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests CC. Run from the command line with:

- * java meka.classifiers.multitarget.CCTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CCTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CCTest(String name) { - super(name); - } - - /** - * Creates a default BR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CC(); - } - - public static Test suite() { - return new TestSuite(CCTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/CCpTest.java b/src/test/java/meka/classifiers/multitarget/CCpTest.java deleted file mode 100644 index fca1a419..00000000 --- a/src/test/java/meka/classifiers/multitarget/CCpTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests CCp. Run from the command line with:

- * java meka.classifiers.multitarget.CCpTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CCpTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CCpTest(String name) { - super(name); - } - - /** - * Creates a default classifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CCp(); - } - - public static Test suite() { - return new TestSuite(CCpTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/CRTest.java b/src/test/java/meka/classifiers/multitarget/CRTest.java deleted file mode 100644 index aa316c22..00000000 --- a/src/test/java/meka/classifiers/multitarget/CRTest.java +++ /dev/null @@ -1,62 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget; - -import junit.framework.Test; -import junit.framework.TestSuite; -import weka.classifiers.Classifier; - -/** - * Tests CR. Run from the command line with:

- * java meka.classifiers.multitarget.CRTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class CRTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public CRTest(String name) { - super(name); - } - - /** - * Creates a default CR. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new CR(); - } - - public static Test suite() { - return new TestSuite(CRTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/meta/BaggingMTTest.java b/src/test/java/meka/classifiers/multitarget/meta/BaggingMTTest.java deleted file mode 100644 index 684ffb30..00000000 --- a/src/test/java/meka/classifiers/multitarget/meta/BaggingMTTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multitarget.AbstractMultiTargetClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests BaggingMT. Run from the command line with:

- * java meka.classifiers.multitarget.meta.BaggingMTTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class BaggingMTTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public BaggingMTTest(String name) { - super(name); - } - - /** - * Creates a default BaggingMT. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new BaggingMT(); - } - - public static Test suite() { - return new TestSuite(BaggingMTTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/meta/EnsembleMTTest.java b/src/test/java/meka/classifiers/multitarget/meta/EnsembleMTTest.java deleted file mode 100644 index db88fbb7..00000000 --- a/src/test/java/meka/classifiers/multitarget/meta/EnsembleMTTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multitarget.AbstractMultiTargetClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests EnsembleMT. Run from the command line with:

- * java meka.classifiers.multitarget.meta.EnsembleMTTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class EnsembleMTTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public EnsembleMTTest(String name) { - super(name); - } - - /** - * Creates a default EnsembleMT. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new EnsembleMT(); - } - - public static Test suite() { - return new TestSuite(EnsembleMTTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/meta/FilteredClassifierTest.java b/src/test/java/meka/classifiers/multitarget/meta/FilteredClassifierTest.java deleted file mode 100644 index 83c36057..00000000 --- a/src/test/java/meka/classifiers/multitarget/meta/FilteredClassifierTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2017 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multitarget.AbstractMultiTargetClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests FilteredClassifier. Run from the command line with:

- * java meka.classifiers.multitarget.meta.FilteredClassifierTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class FilteredClassifierTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public FilteredClassifierTest(String name) { - super(name); - } - - /** - * Creates a default FilteredClassifier. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new FilteredClassifier(); - } - - public static Test suite() { - return new TestSuite(FilteredClassifierTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/classifiers/multitarget/meta/MultiSearchTest.java b/src/test/java/meka/classifiers/multitarget/meta/MultiSearchTest.java deleted file mode 100644 index 887e7240..00000000 --- a/src/test/java/meka/classifiers/multitarget/meta/MultiSearchTest.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2017 University of Waikato, Hamilton, New Zealand - */ - -package meka.classifiers.multitarget.meta; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.classifiers.multitarget.AbstractMultiTargetClassifierTest; -import weka.classifiers.Classifier; - -/** - * Tests MultiSearch. Run from the command line with:

- * java meka.classifiers.multitarget.meta.MultiSearchTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MultiSearchTest - extends AbstractMultiTargetClassifierTest { - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MultiSearchTest(String name) { - super(name); - } - - /** - * Creates a default MultiSearch. - * - * @return the classifier - */ - @Override - public Classifier getClassifier() { - return new MultiSearch(); - } - - public static Test suite() { - return new TestSuite(MultiSearchTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/core/MetricsTest.java b/src/test/java/meka/core/MetricsTest.java deleted file mode 100644 index ff927cbe..00000000 --- a/src/test/java/meka/core/MetricsTest.java +++ /dev/null @@ -1,1423 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.core; - -import junit.framework.Test; -import junit.framework.TestSuite; -import junit.framework.TestCase; - -import java.util.ArrayList; -import java.util.Arrays; - -import weka.core.Utils; -import weka.classifiers.evaluation.ThresholdCurve; -import weka.core.Instances; - - -/** - * Tests the metrics. Run from the command line with:

- * java meka.core.TestMetrics - * - * @author Joerg Wicker (jw@joerg-wicker.org) - * @version $Revision: 117 $ - */ -public class MetricsTest - extends TestCase { - - private ArrayList tmos; - - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public MetricsTest(String name) { - super(name); - } - - - - protected void setUp(){ - tmos = new ArrayList(); - // all correct - - - double[][] pred = new double[][]{new double[]{1.0,0.0,1.0,0.0}, - new double[]{0.0,1.0,0.0,1.0}, - new double[]{1.0,0.0,1.0,0.0}, - new double[]{0.0,1.0,0.0,1.0}}; - - int[][] predInt = new int[][]{new int[]{1,0,1,0}, - new int[]{0,1,0,1}, - new int[]{1,0,1,0}, - new int[]{0,1,0,1}}; - - int[][] real = new int[][]{new int[]{1,0,1,0}, - new int[]{0,1,0,1}, - new int[]{1,0,1,0}, - new int[]{0,1,0,1}}; - - - TestMetricObject tmo = new TestMetricObject(pred, - predInt, - real, - 1.0, // exactmatch - 0.0, // zeroone - 0.0, // l_hamming - 1.0, // p_hamming - 1.0, // p_harmonic - 1.0, // p_accuracy - 1.0, // p_jaccardind - 0.0, // l_jaccarddist - 0.0, // l_loglossl - 0.0, // l_loglossd - 1.0, // precision_mac - 1.0, // recall_mac - 1.0, // precision_mic - 1.0, // recall_mic - 1.0, // fmicro - 1.0, // fmicrol - 1.0, // fmicrod - 0.0, // oneerror - 1.0, // avgprec - 0.0, // rankloss - 1.0, // macroauprc - 1.0, // macroauroc - 1.0, // microauprc - 1.0, // microauroc - 0.0); // levenshtein - tmos.add(tmo); - - - // all wrong - - - pred = new double[][]{new double[]{1.0,0.0,1.0}, - new double[]{0.0,1.0,0.0}, - new double[]{1.0,0.0,1.0}, - new double[]{0.0,1.0,0.0}}; - - predInt = new int[][]{new int[]{1,0,1}, - new int[]{0,1,0}, - new int[]{1,0,1}, - new int[]{0,1,0}}; - - real = new int[][]{new int[]{0,1,0}, - new int[]{1,0,1}, - new int[]{0,1,0}, - new int[]{1,0,1}}; - - - tmo = new TestMetricObject(pred, - predInt, - real, - 0.0, // exactmatch - 1.0, // zeroone - 1.0, // l_hamming - 0.0, // p_hamming - 0.0, // p_harmonic - 0.0, // p_accuracy - 0.0, // p_jaccardind - 1.0, // l_jaccarddist - Math.log(3.0), // l_loglossl - Math.log(4.0), // l_loglossd - 0.0, // precision_mac - 0.0, // recall_mac - 0.0, // precision_mic - 0.0, // recall_mic - 0.0, // fmicro - 0.0, // fmicrol - 0.0, // fmicrod - 1.0, // oneerror - 0.5, // avgprec - 1.0, // rankloss - 0.5, // macroauprc - 0.0, // macroauroc - 0.5, // microauprc - 0.0, // microauroc - 2.0/3.0); // levenshtein - tmos.add(tmo); - - - - - // always exactly 50% right - - pred = new double[][]{new double[]{1.0,0.0,1.0,0.0}, - new double[]{0.0,1.0,0.0,1.0}, - new double[]{1.0,0.0,1.0,0.0}, - new double[]{0.0,1.0,0.0,1.0}}; - - predInt = new int[][]{new int[]{1,0,1,0}, - new int[]{0,1,0,1}, - new int[]{1,0,1,0}, - new int[]{0,1,0,1}}; - - real = new int[][]{new int[]{0,1,0,1}, - new int[]{0,1,0,1}, - new int[]{1,0,1,0}, - new int[]{1,0,1,0}}; - - - tmo = new TestMetricObject(pred, - predInt, - real, - 0.5, // exactmatch - 0.5, // zeroone - 0.5, // l_hamming - 0.5, // p_hamming - 0.5, // p_harmonic - 0.5, // p_accuracy - 0.5, // p_jaccardind - 0.5, // l_jaccarddist - Math.log(4.0)/2.0, // l_loglossl - Math.log(4.0)/2.0, // l_loglossd - 0.5, // precision_mac - 0.5, // recall_mac - 0.5, // precision_mic - 0.5, // recall_mic - 0.5, // fmicro - 0.5, // fmicrol - 0.5, // fmicrod - 0.5, // oneerror - 0.75, // avgprec - 0.5, // rankloss - 0.5, // macroauprc - 0.5, // macroauroc - 0.5, // microauprc - 0.5, // microauroc - 0.25); // levenshtein - tmos.add(tmo); - - - - - // all correct w missing 50% - - pred = new double[][]{new double[]{1.0,0.0,1.0,0.0}, - new double[]{0.0,1.0,0.0,1.0}, - new double[]{1.0,0.0,1.0,0.0}, - new double[]{0.0,1.0,0.0,1.0}}; - - predInt = new int[][]{new int[]{1,0,1,0}, - new int[]{0,1,0,1}, - new int[]{1,0,1,0}, - new int[]{0,1,0,1}}; - - real = new int[][]{new int[]{-1,0,1,-1}, - new int[]{0,-1,-1,1}, - new int[]{1,-1,-1,0}, - new int[]{-1,1,0,-1}}; - - - tmo = new TestMetricObject(pred, - predInt, - real, - 1.0, // exactmatch - 0.0, // zeroone - 0.0, // l_hamming - 1.0, // p_hamming - 1.0, // p_harmonic - 1.0, // p_accuracy - 1.0, // p_jaccardind - 0.0, // l_jaccarddist - 0.0, // l_loglossl - 0.0, // l_loglossd - 1.0, // precision_mac - 1.0, // recall_mac - 1.0, // precision_mic - 1.0, // recall_mic - 1.0, // fmicro - 1.0, // fmicrol - 1.0, // fmicrod - 0.0, // oneerror - 1.0, // avgprec - 0.0, // rankloss - 1.0, // macroauprc - 1.0, // macroauroc - 1.0, // microauprc - 1.0, // microauroc - 0.0); // levenshtein - tmos.add(tmo); - - - - - // all wrong w missing 50% - - // always exactly 50% right w missing 50% - - - // all correct w missing 50%, one label all missing - - // all wrong w missing 50%, one label all missing - - // always exactly 50% right w missing 50%, one label all missing - - - - // all correct, but one label all wrong - - // all wrong, but one label all right - - // always exactly 50% right, but one label all wrong - - // always exactly 50% right, but one label all right - - - - // all correct w missing 25% - - // all wrong w missing 25% - - // always exactly 50% right w missing 25% - - - // all correct w missing 75% - - // all wrong w missing 75% - - // always exactly 50% right w missing 75% - - - // missing 100% - - pred = new double[][]{new double[]{1.0,0.0,1.0}, - new double[]{0.0,1.0,0.0}, - new double[]{1.0,0.0,1.0}, - new double[]{0.0,1.0,0.0}}; - - predInt = new int[][]{new int[]{1,0,1}, - new int[]{0,1,0}, - new int[]{1,0,1}, - new int[]{0,1,0}}; - - real = new int[][]{new int[]{-1,-1,-1}, - new int[]{-1,-1,-1}, - new int[]{-1,-1,-1}, - new int[]{-1,-1,-1}}; - - - tmo = new TestMetricObject(pred, - predInt, - real, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN, - Double.NaN); - tmos.add(tmo); - - } - - /** - * Tests avarage precision for one row - */ - public void testP_AveragePrecision(){ - // confidences: [0.1,0.6,0.3,0.4,0.2,0.5] - // real ys: [0,1,0,1,0,1] - // rank = [ 6, 1, 4, 3, 5, 2] - // relevant lambdas: [1,3,5] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.6 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.4 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 5 - // Corresponding confidence was = 0.5 - // rank is = 2 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{0,1,0,1,0,1}, - new double[]{0.1,0.6,0.3,0.4,0.2,0.5} - ), 0.00001 - ); - - // confidences: [1.0,1.0,1.0] - // real ys: [1,1,1] - // rank = [ 3, 3, 3] - // relevant lambdas: [0,1,2] - // compute fraction for lambda = 0 - // Corresponding confidence was = 1.0 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 1 - // Corresponding confidence was = 1.0 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 2 - // Corresponding confidence was = 1.0 - // rank is = 3 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{1,1,1}, - new double[]{1.0,1.0,1.0} - ), 0.00001 - ); - - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{0,0,0}, - new double[]{0.3,0.2,0.4} - ), 0.00001 - ); - - // confidences: [0.1,0.2,0.3] - // real ys: [1,1,1] - // rank = [ 3, 2, 1] - // relevant lambdas: [0,1,2] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.1 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.2 - // rank is = 2 - // fraction is = 1.0 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.3 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{1,1,1}, - new double[]{0.1,0.2,0.3} - ), 0.00001 - ); - - // confidences: [0.3,0.1,0.2] - // real ys: [1,1,1] - // rank = [ 1, 3, 2] - // relevant lambdas: [0,1,2] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.3 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.1 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.2 - // rank is = 2 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{1,1,1}, - new double[]{0.3,0.1,0.2} - ), 0.00001 - ); - - // confidences: [0.1,0.9,0.2] - // real ys: [0,1,0] - // rank = [ 3, 1, 2] - // relevant lambdas: [1] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.9 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{0,1,0}, - new double[]{0.1,0.9,0.2} - ), 0.00001 - ); - - // confidences: [0.1,0.7,0.9] - // real ys: [0,1,1] - // rank = [ 3, 2, 1] - // relevant lambdas: [1,2] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.7 - // rank is = 2 - // fraction is = 1.0 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.9 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{0,1,1}, - new double[]{0.1,0.7,0.9} - ), 0.00001 - ); - - // confidences: [0.8,0.7,0.9] - // real ys: [0,1,1] - // rank = [ 2, 3, 1] - // relevant lambdas: [1,2] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.7 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.9 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(0.8333333333, - Metrics.P_AveragePrecision( - new int[]{0,1,1}, - new double[]{0.8,0.7,0.9} - ), 0.00001 - ); - - // confidences: [0.0,0.0,0.0,0.0] - // real ys: [1,1,1,1] - // rank = [ 4, 4, 4, 4] - // relevant lambdas: [0,1,2,3] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.0 - // rank is = 4 - // fraction is = 1.0 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.0 - // rank is = 4 - // fraction is = 1.0 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.0 - // rank is = 4 - // fraction is = 1.0 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.0 - // rank is = 4 - // fraction is = 1.0 - - assertEquals(1.0000000000, - Metrics.P_AveragePrecision( - new int[]{1,1,1,1}, - new double[]{0.0,0.0,0.0,0.0} - ), 0.00001 - ); - - // confidences: [0.5975452777972018,0.3332183994766498,0.3851891847407185,0.984841540199809,0.8791825178724801,0.9412491794821144,0.27495396603548483,0.12889715087377673] - // real ys: [1,1,0,1,1,0,1,0] - // rank = [ 4, 6, 5, 1, 3, 2, 7, 8] - // relevant lambdas: [0,1,3,4,6] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.5975452777972018 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.3332183994766498 - // rank is = 6 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.984841540199809 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.8791825178724801 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.27495396603548483 - // rank is = 7 - // fraction is = 0.7142857142857143 - - assertEquals(0.7595238095, - Metrics.P_AveragePrecision( - new int[]{1,1,0,1,1,0,1,0}, - new double[]{0.5975452777972018,0.3332183994766498,0.3851891847407185,0.984841540199809,0.8791825178724801,0.9412491794821144,0.27495396603548483,0.12889715087377673} - ), 0.00001 - ); - - // confidences: [0.10449068625097169,0.6251463634655593,0.4107961954910617,0.7763122912749325,0.990722785714783,0.4872328470301428,0.7462414053223305,0.7331520701949938] - // real ys: [0,1,0,0,1,0,1,1] - // rank = [ 8, 5, 7, 2, 1, 6, 3, 4] - // relevant lambdas: [1,4,6,7] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.6251463634655593 - // rank is = 5 - // fraction is = 0.8 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.990722785714783 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.7462414053223305 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.7331520701949938 - // rank is = 4 - // fraction is = 0.75 - - assertEquals(0.8041666667, - Metrics.P_AveragePrecision( - new int[]{0,1,0,0,1,0,1,1}, - new double[]{0.10449068625097169,0.6251463634655593,0.4107961954910617,0.7763122912749325,0.990722785714783,0.4872328470301428,0.7462414053223305,0.7331520701949938} - ), 0.00001 - ); - - // confidences: [0.13393984058689223,0.0830623982249149,0.9785743401478403,0.7223571191888487,0.7150310138504744,0.14322038530059678,0.4629578184224229,0.004485602182885184] - // real ys: [1,0,1,0,1,1,1,1] - // rank = [ 6, 7, 1, 2, 3, 5, 4, 8] - // relevant lambdas: [0,2,4,5,6,7] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.13393984058689223 - // rank is = 6 - // fraction is = 0.8333333333333334 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.9785743401478403 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.7150310138504744 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 5 - // Corresponding confidence was = 0.14322038530059678 - // rank is = 5 - // fraction is = 0.8 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.4629578184224229 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.004485602182885184 - // rank is = 8 - // fraction is = 0.75 - - assertEquals(0.8000000000, - Metrics.P_AveragePrecision( - new int[]{1,0,1,0,1,1,1,1}, - new double[]{0.13393984058689223,0.0830623982249149,0.9785743401478403,0.7223571191888487,0.7150310138504744,0.14322038530059678,0.4629578184224229,0.004485602182885184} - ), 0.00001 - ); - - // confidences: [0.9715469888517128,0.8657458802140383,0.6125811047098682,0.17898798452881726,0.21757041220968598,0.8544871670422907,0.009673497300974332,0.6922930069529333] - // real ys: [0,1,0,1,0,1,1,1] - // rank = [ 1, 2, 5, 7, 6, 3, 8, 4] - // relevant lambdas: [1,3,5,6,7] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.8657458802140383 - // rank is = 2 - // fraction is = 0.5 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.17898798452881726 - // rank is = 7 - // fraction is = 0.5714285714285714 - // compute fraction for lambda = 5 - // Corresponding confidence was = 0.8544871670422907 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.009673497300974332 - // rank is = 8 - // fraction is = 0.625 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.6922930069529333 - // rank is = 4 - // fraction is = 0.75 - - assertEquals(0.6226190476, - Metrics.P_AveragePrecision( - new int[]{0,1,0,1,0,1,1,1}, - new double[]{0.9715469888517128,0.8657458802140383,0.6125811047098682,0.17898798452881726,0.21757041220968598,0.8544871670422907,0.009673497300974332,0.6922930069529333} - ), 0.00001 - ); - - // confidences: [0.945333238959629,0.014236355103667941,0.3942035527773311,0.8537907753080728,0.7860424508145526,0.993471955005814,0.883104405981479,0.17029153024770394] - // real ys: [1,1,1,1,0,0,1,0] - // rank = [ 2, 8, 6, 4, 5, 1, 3, 7] - // relevant lambdas: [0,1,2,3,6] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.945333238959629 - // rank is = 2 - // fraction is = 0.5 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.014236355103667941 - // rank is = 8 - // fraction is = 0.625 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.3942035527773311 - // rank is = 6 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.8537907753080728 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.883104405981479 - // rank is = 3 - // fraction is = 0.6666666666666666 - - assertEquals(0.6416666667, - Metrics.P_AveragePrecision( - new int[]{1,1,1,1,0,0,1,0}, - new double[]{0.945333238959629,0.014236355103667941,0.3942035527773311,0.8537907753080728,0.7860424508145526,0.993471955005814,0.883104405981479,0.17029153024770394} - ), 0.00001 - ); - - // confidences: [0.44142677367579175,0.46208799028599445,0.8528274665994607,0.501834850205735,0.9919429804102169,0.9692699099404161,0.35310607217911816,0.047265869196129406] - // real ys: [1,0,1,1,1,0,1,1] - // rank = [ 6, 5, 3, 4, 1, 2, 7, 8] - // relevant lambdas: [0,2,3,4,6,7] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.44142677367579175 - // rank is = 6 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.8528274665994607 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.501834850205735 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.9919429804102169 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.35310607217911816 - // rank is = 7 - // fraction is = 0.7142857142857143 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.047265869196129406 - // rank is = 8 - // fraction is = 0.75 - - assertEquals(0.7579365079, - Metrics.P_AveragePrecision( - new int[]{1,0,1,1,1,0,1,1}, - new double[]{0.44142677367579175,0.46208799028599445,0.8528274665994607,0.501834850205735,0.9919429804102169,0.9692699099404161,0.35310607217911816,0.047265869196129406} - ), 0.00001 - ); - - // confidences: [0.9891171507514055,0.7674421030154899,0.5013973510122299,0.2555253108964435,0.30915818724818767,0.8482805002723425,0.052084538173983286,0.010175454536229256] - // real ys: [0,0,0,0,0,0,1,0] - // rank = [ 1, 3, 4, 6, 5, 2, 7, 8] - // relevant lambdas: [6] - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.052084538173983286 - // rank is = 7 - // fraction is = 0.14285714285714285 - - assertEquals(0.1428571429, - Metrics.P_AveragePrecision( - new int[]{0,0,0,0,0,0,1,0}, - new double[]{0.9891171507514055,0.7674421030154899,0.5013973510122299,0.2555253108964435,0.30915818724818767,0.8482805002723425,0.052084538173983286,0.010175454536229256} - ), 0.00001 - ); - - // confidences: [0.3078931676344727,0.5316085562487977,0.9188142018385732,0.27721002606871137,0.8742622102831944,0.6098815135127635,0.9086392096967358,0.04449062015679506] - // real ys: [0,1,0,1,1,1,0,1] - // rank = [ 6, 5, 1, 7, 3, 4, 2, 8] - // relevant lambdas: [1,3,4,5,7] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.5316085562487977 - // rank is = 5 - // fraction is = 0.6 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.27721002606871137 - // rank is = 7 - // fraction is = 0.5714285714285714 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.8742622102831944 - // rank is = 3 - // fraction is = 0.3333333333333333 - // compute fraction for lambda = 5 - // Corresponding confidence was = 0.6098815135127635 - // rank is = 4 - // fraction is = 0.5 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.04449062015679506 - // rank is = 8 - // fraction is = 0.625 - - assertEquals(0.5259523810, - Metrics.P_AveragePrecision( - new int[]{0,1,0,1,1,1,0,1}, - new double[]{0.3078931676344727,0.5316085562487977,0.9188142018385732,0.27721002606871137,0.8742622102831944,0.6098815135127635,0.9086392096967358,0.04449062015679506} - ), 0.00001 - ); - - // confidences: [0.36636074451399603,0.47763691175692136,0.7039697053426346,0.3227677982432213,0.011654838276547785,0.7010389381824046,0.7453528603915509,0.6072882485626178] - // real ys: [1,0,0,0,1,0,1,0] - // rank = [ 6, 5, 2, 7, 8, 3, 1, 4] - // relevant lambdas: [0,4,6] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.36636074451399603 - // rank is = 6 - // fraction is = 0.3333333333333333 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.011654838276547785 - // rank is = 8 - // fraction is = 0.375 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.7453528603915509 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(0.5694444444, - Metrics.P_AveragePrecision( - new int[]{1,0,0,0,1,0,1,0}, - new double[]{0.36636074451399603,0.47763691175692136,0.7039697053426346,0.3227677982432213,0.011654838276547785,0.7010389381824046,0.7453528603915509,0.6072882485626178} - ), 0.00001 - ); - - // confidences: [0.003913530617220884,0.26489582745247164,0.8928169571561851,0.2975682649107815,0.4289044793297375,0.6875516381838638,0.4084964347010259,0.3530524994432197] - // real ys: [0,1,0,0,1,0,0,1] - // rank = [ 8, 7, 1, 6, 3, 2, 4, 5] - // relevant lambdas: [1,4,7] - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.26489582745247164 - // rank is = 7 - // fraction is = 0.42857142857142855 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.4289044793297375 - // rank is = 3 - // fraction is = 0.3333333333333333 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.3530524994432197 - // rank is = 5 - // fraction is = 0.4 - - assertEquals(0.3873015873, - Metrics.P_AveragePrecision( - new int[]{0,1,0,0,1,0,0,1}, - new double[]{0.003913530617220884,0.26489582745247164,0.8928169571561851,0.2975682649107815,0.4289044793297375,0.6875516381838638,0.4084964347010259,0.3530524994432197} - ), 0.00001 - ); - - - // confidences: [0.9,0.4,0.7,0.7,0.3,0.2,0.5,0.4] - // real ys: [1,1,0,1,1,0,1,0] - // rank = [ 1, 6, 3, 3, 7, 8, 4, 6] - // relevant lambdas: [0,1,3,4,6] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.9 - // rank is = 1 - // fraction is = 1.0 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.4 - // rank is = 6 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.7 - // rank is = 3 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.3 - // rank is = 7 - // fraction is = 0.7142857142857143 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.5 - // rank is = 4 - // fraction is = 0.75 - - assertEquals(0.7595238095, - Metrics.P_AveragePrecision( - new int[]{1,1,0,1,1,0,1,0}, - new double[]{0.9,0.4,0.7,0.7,0.3,0.2,0.5,0.4} - ), 0.00001 - ); - - // confidences: [0.2,0.0,0.3,0.2,0.2,0.3,0.5,0.5] - // real ys: [1,0,1,0,0,0,0,0] - // rank = [ 7, 8, 4, 7, 7, 4, 2, 2] - // relevant lambdas: [0,2] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.2 - // rank is = 7 - // fraction is = 0.2857142857142857 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.3 - // rank is = 4 - // fraction is = 0.25 - - assertEquals(0.2678571429, - Metrics.P_AveragePrecision( - new int[]{1,0,1,0,0,0,0,0}, - new double[]{0.2,0.0,0.3,0.2,0.2,0.3,0.5,0.5} - ), 0.00001 - ); - - // confidences: [0.0,0.5,0.5,0.0,0.8,0.1,0.4,0.6] - // real ys: [0,0,1,0,0,0,1,1] - // rank = [ 8, 4, 4, 8, 1, 6, 5, 2] - // relevant lambdas: [2,6,7] - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.5 - // rank is = 4 - // fraction is = 0.5 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.4 - // rank is = 5 - // fraction is = 0.6 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.6 - // rank is = 2 - // fraction is = 0.5 - - assertEquals(0.5333333333, - Metrics.P_AveragePrecision( - new int[]{0,0,1,0,0,0,1,1}, - new double[]{0.0,0.5,0.5,0.0,0.8,0.1,0.4,0.6} - ), 0.00001 - ); - - // confidences: [0.8,0.7,0.3,0.7,0.7,0.8,0.5,0.8] - // real ys: [1,0,1,0,1,1,1,1] - // rank = [ 3, 6, 8, 6, 6, 3, 7, 3] - // relevant lambdas: [0,2,4,5,6,7] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.8 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.3 - // rank is = 8 - // fraction is = 0.75 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.7 - // rank is = 6 - // fraction is = 0.6666666666666666 - // compute fraction for lambda = 5 - // Corresponding confidence was = 0.8 - // rank is = 3 - // fraction is = 1.0 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.5 - // rank is = 7 - // fraction is = 0.7142857142857143 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.8 - // rank is = 3 - // fraction is = 1.0 - - assertEquals(0.8551587302, - Metrics.P_AveragePrecision( - new int[]{1,0,1,0,1,1,1,1}, - new double[]{0.8,0.7,0.3,0.7,0.7,0.8,0.5,0.8} - ), 0.00001 - ); - - // confidences: [0.7,0.1,0.6,0.0,0.7,0.2,0.5,0.0] - // real ys: [1,0,0,0,0,0,0,1] - // rank = [ 2, 6, 3, 8, 2, 5, 4, 8] - // relevant lambdas: [0,7] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.7 - // rank is = 2 - // fraction is = 0.5 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.0 - // rank is = 8 - // fraction is = 0.25 - - assertEquals(0.3750000000, - Metrics.P_AveragePrecision( - new int[]{1,0,0,0,0,0,0,1}, - new double[]{0.7,0.1,0.6,0.0,0.7,0.2,0.5,0.0} - ), 0.00001 - ); - - // confidences: [0.1,0.1,0.3,0.0,0.8,0.4,0.6,0.3] - // real ys: [1,1,1,1,1,0,0,0] - // rank = [ 7, 7, 5, 8, 1, 3, 2, 5] - // relevant lambdas: [0,1,2,3,4] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.1 - // rank is = 7 - // fraction is = 0.5714285714285714 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.1 - // rank is = 7 - // fraction is = 0.5714285714285714 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.3 - // rank is = 5 - // fraction is = 0.4 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.0 - // rank is = 8 - // fraction is = 0.625 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.8 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(0.6335714286, - Metrics.P_AveragePrecision( - new int[]{1,1,1,1,1,0,0,0}, - new double[]{0.1,0.1,0.3,0.0,0.8,0.4,0.6,0.3} - ), 0.00001 - ); - - // confidences: [0.7,0.7,0.1,0.7,0.8,0.3,0.0,0.5] - // real ys: [1,1,1,1,0,0,1,0] - // rank = [ 4, 4, 7, 4, 1, 6, 8, 5] - // relevant lambdas: [0,1,2,3,6] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.7 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.7 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.1 - // rank is = 7 - // fraction is = 0.5714285714285714 - // compute fraction for lambda = 3 - // Corresponding confidence was = 0.7 - // rank is = 4 - // fraction is = 0.75 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.0 - // rank is = 8 - // fraction is = 0.625 - - assertEquals(0.6892857143, - Metrics.P_AveragePrecision( - new int[]{1,1,1,1,0,0,1,0}, - new double[]{0.7,0.7,0.1,0.7,0.8,0.3,0.0,0.5} - ), 0.00001 - ); - - // confidences: [0.1,0.4,0.0,0.5,0.6,0.4,0.4,0.2] - // real ys: [1,1,1,0,1,0,0,0] - // rank = [ 7, 5, 8, 2, 1, 5, 5, 6] - // relevant lambdas: [0,1,2,4] - // compute fraction for lambda = 0 - // Corresponding confidence was = 0.1 - // rank is = 7 - // fraction is = 0.42857142857142855 - // compute fraction for lambda = 1 - // Corresponding confidence was = 0.4 - // rank is = 5 - // fraction is = 0.4 - // compute fraction for lambda = 2 - // Corresponding confidence was = 0.0 - // rank is = 8 - // fraction is = 0.5 - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.6 - // rank is = 1 - // fraction is = 1.0 - - assertEquals(0.5821428571, - Metrics.P_AveragePrecision( - new int[]{1,1,1,0,1,0,0,0}, - new double[]{0.1,0.4,0.0,0.5,0.6,0.4,0.4,0.2} - ), 0.00001 - ); - - // confidences: [0.5,0.2,0.4,0.9,0.7,0.1,0.1,0.3] - // real ys: [0,0,0,0,1,0,1,1] - // rank = [ 3, 6, 4, 1, 2, 8, 8, 5] - // relevant lambdas: [4,6,7] - // compute fraction for lambda = 4 - // Corresponding confidence was = 0.7 - // rank is = 2 - // fraction is = 0.5 - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.1 - // rank is = 8 - // fraction is = 0.375 - // compute fraction for lambda = 7 - // Corresponding confidence was = 0.3 - // rank is = 5 - // fraction is = 0.4 - - assertEquals(0.4250000000, - Metrics.P_AveragePrecision( - new int[]{0,0,0,0,1,0,1,1}, - new double[]{0.5,0.2,0.4,0.9,0.7,0.1,0.1,0.3} - ), 0.00001 - ); - - // confidences: [0.3,0.7,0.8,0.8,0.6,0.8,0.0,0.5] - // real ys: [0,0,0,0,0,0,1,0] - // rank = [ 7, 4, 3, 3, 5, 3, 8, 6] - // relevant lambdas: [6] - // compute fraction for lambda = 6 - // Corresponding confidence was = 0.0 - // rank is = 8 - // fraction is = 0.125 - - assertEquals(0.1250000000, - Metrics.P_AveragePrecision( - new int[]{0,0,0,0,0,0,1,0}, - new double[]{0.3,0.7,0.8,0.8,0.6,0.8,0.0,0.5} - ), 0.00001 - ); - - } - - public void testUtilSort(){ - int[] real = {0,1,0,1,0,1}; - double[] pred = {0.4, - 0.1, - 0.5, - 0.2, - 0.6, - 0.3}; - - int[] sorted = Utils.sort(pred); - - assertTrue(Arrays.toString(sorted), - Arrays.equals(new int[]{1,3,5,0,2,4},sorted)); - - - - // for(int i =0; i < sorted.length; sorted++){ - // assertEquals(new int[]{3,0,4,1,5,2},sorted); - // } - - - } - - - public void testP_ExactMatch(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_exactMatch, - Metrics.P_ExactMatch(tmo.real, - tmo.predInt), 0.00000001); - } - } - - public void testL_ZeroOne(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_zeroOne, - Metrics.L_ZeroOne(tmo.real, - tmo.predInt), 0.00000001); - } - } - - public static Test suite() { - return new TestSuite(MetricsTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } - - - public void testl_hamming(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_hamming, - Metrics.L_Hamming(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_hamming(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_hamming, - Metrics.P_Hamming(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_harmonic(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_harmonic, - Metrics.P_Harmonic(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_accuracy(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_accuracy, - Metrics.P_Accuracy(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_jaccardindex(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_jaccardindex, - Metrics.P_JaccardIndex(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testl_jaccardist(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_jaccardist, - Metrics.L_JaccardDist(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testl_loglossl(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_loglossl, - Metrics.L_LogLossL(tmo.real, - tmo.pred), 0.00000001); - } - } - public void testl_loglossd(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_loglossd, - Metrics.L_LogLossD(tmo.real, - tmo.pred), 0.00000001); - } - } - - public void testp_precisionmacro(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_precisionmacro, - Metrics.P_PrecisionMacro(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_recallmacro(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_recallmacro, - Metrics.P_RecallMacro(tmo.real, - tmo.predInt), 0.00000001); - } - } - - public void testp_precisionmicro(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_precisionmicro, - Metrics.P_PrecisionMicro(tmo.real, - tmo.predInt), 0.00000001); - } - } - - public void testp_recallmicro(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_recallmicro, - Metrics.P_RecallMicro(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_fmicroavg(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_fmicroavg, - Metrics.P_FmicroAvg(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_fmacroavgl(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_fmacroavgl, - Metrics.P_FmacroAvgL(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testp_fmacroavgd(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_fmacroavgd, - Metrics.P_FmacroAvgD(tmo.real, - tmo.predInt), 0.00000001); - } - } - public void testl_oneerror(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_oneerror, - Metrics.L_OneError(tmo.real, - tmo.pred), 0.00000001); - } - } - public void testp_averageprecision(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_averageprecision, - Metrics.P_AveragePrecision(tmo.real, - tmo.pred), 0.00000001); - } - } - public void testl_rankloss(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.l_rankloss, - Metrics.L_RankLoss(tmo.real, - tmo.pred), 0.00000001); - } - } - public void testp_macroauprc(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_macroauprc, - Metrics.P_macroAUPRC(tmo.real, - tmo.pred), 0.00000001); - } - } - public void testp_macroauroc(){ - for(TestMetricObject tmo : tmos){ - assertEquals(tmo.p_macroauroc, - Metrics.P_macroAUROC(tmo.real, - tmo.pred), 0.00000001); - } - } - - public void testp_microa(){ - for(TestMetricObject tmo : tmos){ - - Instances curvedata = Metrics.curveDataMicroAveraged(tmo.real, - tmo.pred); - - if (curvedata != null) { - - - - - assertEquals(tmo.p_microauroc, - ThresholdCurve.getROCArea(curvedata), 0.00000001); - - assertEquals(tmo.p_microauprc, - ThresholdCurve.getPRCArea(curvedata), 0.00000001); - } - // TODO What if it is null? For example when all is missing? - - } - } - public void testl_levenshteindistance(){ - for(TestMetricObject tmo : tmos){ - - - assertEquals(tmo.l_levenshteindistance, - Metrics.L_LevenshteinDistance(tmo.real, - tmo.predInt), 0.00000001); - } - } - - - - private class TestMetricObject{ - - public double[][] pred; - public int[][] predInt; - public int[][] real; - public double p_exactMatch; - public double l_zeroOne; - public double l_hamming; - public double p_hamming; - public double p_harmonic; - public double p_accuracy; - public double p_jaccardindex; - public double l_jaccardist; - public double l_loglossl; - public double l_loglossd; - public double p_precisionmacro; - public double p_recallmacro; - public double p_precisionmicro; - public double p_recallmicro; - public double p_fmicroavg; - public double p_fmacroavgl; - public double p_fmacroavgd; - public double l_oneerror; - public double p_averageprecision; - public double l_rankloss; - public double p_macroauprc; - public double p_macroauroc; - public double p_microauprc; - public double p_microauroc; - public double l_levenshteindistance; - - - public TestMetricObject(double[][] pred, - int[][] predInt, - int[][] real, - double p_exactMatch, - double l_zeroOne, - double l_hamming, - double p_hamming, - double p_harmonic, - double p_accuracy, - double p_jaccardindex, - double l_jaccardist, - double l_loglossl, - double l_loglossd, - double p_precisionmacro, - double p_recallmacro, - double p_precisionmicro, - double p_recallmicro, - double p_fmicroavg, - double p_fmacroavgl, - double p_fmacroavgd, - double l_oneerror, - double p_averageprecision, - double l_rankloss, - double p_macroauprc, - double p_macroauroc, - double p_microauprc, - double p_microauroc, - double l_levenshteindistance){ - this.pred = pred; - this.predInt = predInt; - this.real = real; - this.p_exactMatch = p_exactMatch; - this.l_zeroOne = l_zeroOne; - this.l_hamming = l_hamming; - this.p_hamming = p_hamming; - this.p_harmonic = p_harmonic; - this.p_accuracy = p_accuracy; - this.p_jaccardindex = p_jaccardindex; - this.l_jaccardist = l_jaccardist; - this.l_loglossl = l_loglossl; - this.l_loglossd = l_loglossd; - this.p_precisionmacro = p_precisionmacro; - this.p_recallmacro = p_recallmacro; - this.p_precisionmicro = p_precisionmicro; - this.p_recallmicro = p_recallmicro; - this.p_fmicroavg = p_fmicroavg; - this.p_fmacroavgl = p_fmacroavgl; - this.p_fmacroavgd = p_fmacroavgd; - this.l_oneerror = l_oneerror; - this.p_averageprecision = p_averageprecision; - this.l_rankloss = l_rankloss; - this.p_macroauprc = p_macroauprc; - this.p_macroauroc = p_macroauroc; - this.p_microauprc = p_microauprc; - this.p_microauroc = p_microauroc; - this.l_levenshteindistance = l_levenshteindistance; - - - - } - - - } -} diff --git a/src/test/java/meka/filters/AbstractMekaFilterTest.java b/src/test/java/meka/filters/AbstractMekaFilterTest.java deleted file mode 100644 index f76f24ec..00000000 --- a/src/test/java/meka/filters/AbstractMekaFilterTest.java +++ /dev/null @@ -1,61 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/** - * AbstractMekaFilterTest.java - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ -package meka.filters; - -import weka.core.converters.ConverterUtils; -import weka.filters.AbstractFilterTest; - -/** - * Abstract test for filters within the MEKA framework. - * - * @author fracpete (fracpete at waikato dot ac dot nz) - * @version $Revision: 67 $ - */ -public abstract class AbstractMekaFilterTest - extends AbstractFilterTest { - - static { - System.setProperty("weka.test.Regression.root", "src/test/resources"); - } - - /** - * Initializes the test. - * - * @param name the name of the test - */ - public AbstractMekaFilterTest(String name) { - super(name); - } - - /** - * Called by JUnit before each test method. This implementation creates - * the default filter to test and loads a test set of Instances. - * - * @throws Exception if an error occurs reading the example instances. - */ - protected void setUp() throws Exception { - m_Filter = getFilter(); - m_Instances = ConverterUtils.DataSource.read("FilterTest.arff"); - m_OptionTester = getOptionTester(); - m_GOETester = getGOETester(); - m_FilteredClassifier = getFilteredClassifier(); - m_FilteredClassifier.setDoNotCheckForModifiedClassAttribute(true); - } -} diff --git a/src/test/java/meka/filters/unsupervised/attribute/MekaClassAttributesTest.java b/src/test/java/meka/filters/unsupervised/attribute/MekaClassAttributesTest.java deleted file mode 100644 index ad138f13..00000000 --- a/src/test/java/meka/filters/unsupervised/attribute/MekaClassAttributesTest.java +++ /dev/null @@ -1,125 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/* - * Copyright (C) 2012 University of Waikato, Hamilton, New Zealand - */ - -package meka.filters.unsupervised.attribute; - -import junit.framework.Test; -import junit.framework.TestSuite; -import meka.filters.AbstractMekaFilterTest; -import weka.core.Instances; -import weka.filters.Filter; - -/** - * Tests MekaClassAttributes. Run from the command line with:

- * java meka.filters.unsupervised.attribute.MekaClassAttributesTest - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision: 66 $ - */ -public class MekaClassAttributesTest - extends AbstractMekaFilterTest { - - /** - * Initializes the test. - * - * @param name the name of the test to run - */ - public MekaClassAttributesTest(String name) { - super(name); - } - - /** - * Creates a default MekaClassAttributes filter. - * - * @return the filter instance - */ - @Override - public Filter getFilter() { - return new MekaClassAttributes(); - } - - /** - * Creates a specialized MekaClassAttributes. - * - * @param range the range of attributes to use - */ - public Filter getFilter(String range) { - MekaClassAttributes af = new MekaClassAttributes(); - try { - af.setAttributeIndices(range); - } - catch (Exception e) { - fail("Failed to set set range '" + range + "': " + e); - } - return af; - } - - /** - * performs the actual test. - */ - protected void performTest() { - Instances icopy = new Instances(m_Instances); - Instances result = null; - try { - m_Filter.setInputFormat(icopy); - } - catch (Exception ex) { - ex.printStackTrace(); - fail("Exception thrown on setInputFormat(): \n" + ex.getMessage()); - } - try { - result = Filter.useFilter(icopy, m_Filter); - assertNotNull(result); - } - catch (Exception ex) { - ex.printStackTrace(); - fail("Exception thrown on useFilter(): \n" + ex.getMessage()); - } - - assertEquals((icopy.numAttributes()), result.numAttributes()); - assertEquals(icopy.numInstances(), m_Instances.numInstances()); - } - - /** - * Tests using the first two attributes. - */ - public void testFirst() { - m_Filter = getFilter("1-2"); - testBuffered(); - performTest(); - } - - - /** - * Tests using the last two attributes. - */ - public void testLast() { - m_Filter = getFilter((m_Instances.numAttributes() - 1) + "-" + m_Instances.numAttributes()); - testBuffered(); - performTest(); - } - - public static Test suite() { - return new TestSuite(MekaClassAttributesTest.class); - } - - public static void main(String[] args){ - junit.textui.TestRunner.run(suite()); - } -} diff --git a/src/test/java/meka/test/TestHelper.java b/src/test/java/meka/test/TestHelper.java deleted file mode 100644 index 30064edb..00000000 --- a/src/test/java/meka/test/TestHelper.java +++ /dev/null @@ -1,204 +0,0 @@ -/* - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see . - */ - -/** - * TestHelper.java - * Copyright (C) 2015 University of Waikato, Hamilton, NZ - */ - -package meka.test; - -import junit.framework.TestCase; - -import java.io.PrintWriter; -import java.io.StringWriter; - -/** - * Some helper methods for tests. - * - * @author FracPete (fracpete at waikato dot ac dot nz) - * @version $Revision$ - */ -public class TestHelper { - - /** the stddev indicator. */ - public final static String PLUS_MINUS = "+/-"; - - /** - * Returns the stacktrace of the throwable as string. - * - * @param t the throwable to get the stacktrace for - * @return the stacktrace - */ - public static String throwableToString(Throwable t) { - return throwableToString(t, -1); - } - - /** - * Returns the stacktrace of the throwable as string. - * - * @param t the throwable to get the stacktrace for - * @param maxLines the maximum number of lines to print, <= 0 for all - * @return the stacktrace - */ - public static String throwableToString(Throwable t, int maxLines) { - StringWriter writer; - StringBuilder result; - String[] lines; - int i; - - writer = new StringWriter(); - t.printStackTrace(new PrintWriter(writer)); - - if (maxLines > 0) { - result = new StringBuilder(); - lines = writer.toString().split("\n"); - for (i = 0; i < maxLines; i++) { - if (i > 0) - result.append("\n"); - result.append(lines[i]); - } - } - else { - result = new StringBuilder(writer.toString()); - } - - return result.toString(); - } - - /** - * Attempts to parse the string as double. In case this fails, TestCase.fail() is triggered. - * - * @param s the string to parse - * @return the number - */ - protected static double toDouble(String s) { - try { - return Double.parseDouble(s); - } - catch (Exception e) { - TestCase.fail("Failed to parse double: " + s + "\n" + throwableToString(e)); - return Double.NaN; // will never be reached - } - } - - /** - * Tests whether numbers in the string are the same up to the specified decimals. - * Can be separated by "+/-". - * - * @param expected the expected string - * @param actual the generated string - * @param decimals the number of decimals to check - * @see #PLUS_MINUS - */ - public static void assertAlmostEquals(String expected, String actual, int decimals) { - assertAlmostEquals(null, expected, actual, decimals); - } - - /** - * Tests whether numbers in the string are the same up to the specified decimals. - * Can be separated by "+/-". - * - * @param message the optional message to display in case of failure, can be null - * @param expected the expected string - * @param actual the generated string - * @param decimals the number of decimals to check - * @see #PLUS_MINUS - */ - public static void assertAlmostEquals(String message, String expected, String actual, int decimals) { - String exp1; - String exp2; - String act1; - String act2; - double e1; - double e2; - double a1; - double a2; - - if (expected.contains(PLUS_MINUS) && (actual.contains(PLUS_MINUS))) { - exp1 = expected.substring(0, expected.indexOf(PLUS_MINUS)).trim(); - exp2 = expected.substring(expected.indexOf(PLUS_MINUS) + PLUS_MINUS.length()).trim(); - act1 = actual.substring(0, actual.indexOf(PLUS_MINUS)).trim(); - act2 = actual.substring(actual.indexOf(PLUS_MINUS) + PLUS_MINUS.length()).trim(); - e1 = toDouble(exp1); - e2 = toDouble(exp2); - a1 = toDouble(act1); - a2 = toDouble(act2); - assertAlmostEquals(message + " (1st part)", e1, a1, decimals); - assertAlmostEquals(message + " (2nd part)", e2, a2, decimals); - } - else { - e1 = toDouble(expected); - a1 = toDouble(actual); - assertAlmostEquals(message, e1, a1, decimals); - } - } - - /** - * Tests whether numbers are the same up to the specified decimals. - * - * @param expected the expected number - * @param actual the generated number - * @param decimals the number of decimals to check - */ - public static void assertAlmostEquals(double expected, double actual, int decimals) { - assertAlmostEquals(null, new Double(expected), new Double(actual), decimals); - } - - /** - * Tests whether numbers are the same up to the specified decimals. - * - * @param expected the expected number - * @param actual the generated number - * @param decimals the number of decimals to check - */ - public static void assertAlmostEquals(Number expected, Number actual, int decimals) { - assertAlmostEquals(null, expected, actual, decimals); - } - - /** - * Tests whether numbers are the same up to the specified decimals. - * - * @param message the optional message to display in case of failure, can be null - * @param expected the expected number - * @param actual the generated number - * @param decimals the number of decimals to check - */ - public static void assertAlmostEquals(String message, double expected, double actual, int decimals) { - assertAlmostEquals(message, new Double(expected), new Double(actual), decimals); - } - - /** - * Tests whether numbers are the same up to the specified decimals. - * - * @param message the optional message to display in case of failure, can be null - * @param expected the expected number - * @param actual the generated number - * @param decimals the number of decimals to check - */ - public static void assertAlmostEquals(String message, Number expected, Number actual, int decimals) { - double exp; - double act; - double factor; - - factor = Math.pow(10, decimals); - exp = Math.round(expected.doubleValue() * factor) / factor; - act = Math.round(actual.doubleValue() * factor) / factor; - if (message == null) - TestCase.assertEquals(exp, act); - else - TestCase.assertEquals(message, exp, act); - } -}