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Enabling FastTreeBinaryClassificationNoOpGroupIdTest #227

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May 24, 2018
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Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
maml.exe TrainTest test=%Data% tr=FastTreeBinaryClassification{nl=5 mil=5 lr=0.25 iter=20 mb=255} dout=%Output% loader=Text{col=Label:0 col=GroupId:U4[0-10]:1 col=Features:1-*} data=%Data% out=%Output% seed=1
Not adding a normalizer.
Making per-feature arrays
Changing data from row-wise to column-wise
Warning: This is not ranking problem, Group Id 'GroupId' column will be ignored
Warning: Skipped 16 instances with missing features during training
Processed 683 instances
Binning and forming Feature objects
Reserved memory for tree learner: 3852 bytes
Starting to train ...
Not training a calibrator because it is not needed.
TEST POSITIVE RATIO: 0.3448 (241.0/(241.0+458.0))
Confusion table
||======================
PREDICTED || positive | negative | Recall
TRUTH ||======================
positive || 240 | 1 | 0.9959
negative || 13 | 445 | 0.9716
||======================
Precision || 0.9486 | 0.9978 |
OVERALL 0/1 ACCURACY: 0.979971
LOG LOSS/instance: 0.092572
Test-set entropy (prior Log-Loss/instance): 0.929318
LOG-LOSS REDUCTION (RIG): 90.038683
AUC: 0.995370

OVERALL RESULTS
---------------------------------------
AUC: 0.995370 (0.0000)
Accuracy: 0.979971 (0.0000)
Positive precision: 0.948617 (0.0000)
Positive recall: 0.995851 (0.0000)
Negative precision: 0.997758 (0.0000)
Negative recall: 0.971616 (0.0000)
Log-loss: 0.092572 (0.0000)
Log-loss reduction: 90.038683 (0.0000)
F1 Score: 0.971660 (0.0000)
AUPRC: 0.970606 (0.0000)

---------------------------------------
Physical memory usage(MB): %Number%
Virtual memory usage(MB): %Number%
%DateTime% Time elapsed(s): %Number%

--- Progress log ---
[1] 'FastTree data preparation' started.
[1] 'FastTree data preparation' finished in %Time%.
[2] 'FastTree in-memory bins initialization' started.
[2] 'FastTree in-memory bins initialization' finished in %Time%.
[3] 'FastTree feature conversion' started.
[3] 'FastTree feature conversion' finished in %Time%.
[4] 'FastTree training' started.
[4] 'FastTree training' finished in %Time%.
[5] 'Saving model' started.
[5] 'Saving model' finished in %Time%.
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
FastTreeBinaryClassification
AUC Accuracy Positive precision Positive recall Negative precision Negative recall Log-loss Log-loss reduction F1 Score AUPRC /lr /nl /mil /iter Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings
0.99537 0.979971 0.948617 0.995851 0.997758 0.971616 0.092572 90.03868 0.97166 0.970606 0.25 5 5 20 FastTreeBinaryClassification %Data% %Data% %Output% 99 0 0 maml.exe TrainTest test=%Data% tr=FastTreeBinaryClassification{nl=5 mil=5 lr=0.25 iter=20 mb=255} dout=%Output% loader=Text{col=Label:0 col=GroupId:U4[0-10]:1 col=Features:1-*} data=%Data% out=%Output% seed=1 /lr:0.25;/nl:5;/mil:5;/iter:20

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