Enabling FastTreeBinaryClassificationNoOpGroupIdTest (dotnet#227)

* Test Enabled, Zbaseline files added for debug and release

ZBaselines/SingleDebug/FastTreeBinaryClassification/FastTree-TrainTest-breast-cancer-group-out.txt

@@ -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%.

ZBaselines/SingleDebug/FastTreeBinaryClassification/FastTree-TrainTest-breast-cancer-group-rp.txt

@@ -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	
+