Enables FastTreeBinaryClassificationCategoricalSplitTest and BinaryClassifierTesterThresholdingTest

test/BaselineOutput/SingleDebug/FastTreeBinaryClassification/FastTree-TrainTest-Census-Cat-Only.Cat-out.txt

@@ -0,0 +1,56 @@
+maml.exe TrainTest test=%Data% tr=FastTreeBinaryClassification{nl=5 mil=5 lr=0.25 iter=20 mb=255} dout=%Output% loader=Text{sep=, header+ col=Label:14 col=Cat:TX:1,3,5-9,13} data=%Data% out=%Output% seed=1 xf=Cat{col=Cat} xf=Concat{col=Features:Cat}
+Not adding a normalizer.
+Making per-feature arrays
+Changing data from row-wise to column-wise
+Processed 32561 instances
+Binning and forming Feature objects
+Reserved memory for tree learner: 4980 bytes
+Starting to train ...
+Not training a calibrator because it is not needed.
+TEST POSITIVE RATIO:	0.2362 (3846.0/(3846.0+12435.0))
+Confusion table
+          ||======================
+PREDICTED || positive | negative | Recall
+TRUTH     ||======================
+ positive ||    1,982 |    1,864 | 0.5153
+ negative ||      895 |   11,540 | 0.9280
+          ||======================
+Precision ||   0.6889 |   0.8609 |
+OVERALL 0/1 ACCURACY: 0.830539
+LOG LOSS/instance:  0.537244
+Test-set entropy (prior Log-Loss/instance): 0.788708
+LOG-LOSS REDUCTION (RIG): 31.883066
+AUC:                0.871960
+
+OVERALL RESULTS
+---------------------------------------
+AUC:                0.871960 (0.0000)
+Accuracy:           0.830539 (0.0000)
+Positive precision: 0.688912 (0.0000)
+Positive recall:    0.515341 (0.0000)
+Negative precision: 0.860937 (0.0000)
+Negative recall:    0.928026 (0.0000)
+Log-loss:           0.537244 (0.0000)
+Log-loss reduction: 31.883066 (0.0000)
+F1 Score:           0.589618 (0.0000)
+AUPRC:              0.670582 (0.0000)
+
+---------------------------------------
+Physical memory usage(MB): %Number%
+Virtual memory usage(MB): %Number%
+%DateTime%	 Time elapsed(s): %Number%
+
+--- Progress log ---
+[1] 'Building term dictionary' started.
+[1] (%Time%)	32561 examples	Total Terms: 100
+[1] 'Building term dictionary' finished in %Time%.
+[2] 'FastTree data preparation' started.
+[2] 'FastTree data preparation' finished in %Time%.
+[3] 'FastTree in-memory bins initialization' started.
+[3] 'FastTree in-memory bins initialization' finished in %Time%.
+[4] 'FastTree feature conversion' started.
+[4] 'FastTree feature conversion' finished in %Time%.
+[5] 'FastTree training' started.
+[5] 'FastTree training' finished in %Time%.
+[6] 'Saving model' started.
+[6] 'Saving model' finished in %Time%.

test/BaselineOutput/SingleDebug/FastTreeBinaryClassification/FastTree-TrainTest-Census-Cat-Only.Cat-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	
+0.87196	0.830539	0.688912	0.515341	0.860937	0.928026	0.537244	31.88307	0.589618	0.670582	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{sep=, header+ col=Label:14 col=Cat:TX:1,3,5-9,13} data=%Data% out=%Output% seed=1 xf=Cat{col=Cat} xf=Concat{col=Features:Cat}	/lr:0.25;/nl:5;/mil:5;/iter:20	
+

test/BaselineOutput/SingleDebug/FastTreeBinaryClassification/FastTree-TrainTest-Census-Cat-Only.Cat-summary.txt

@@ -0,0 +1,31 @@
+
+Per-feature gain summary for the boosted tree ensemble:
+	marital-status.Married-civ-spouse	1
+	occupation.Exec-managerial	0.399117896915284
+	occupation.Prof-specialty	0.391227805213273
+	education.Bachelors	0.334466450228397
+	education.Masters	0.287494503306969
+	education.Prof-school	0.204600035294214
+	education.Doctorate	0.187985462587772
+	occupation.Sales	0.150856624152445
+	occupation.Other-service	0.147997280910012
+	relationship.Own-child	0.137529286784067
+	marital-status.Never-married	0.131366568817433
+	education.7th-8th	0.122497278808477
+	workclass.Self-emp-inc	0.119940186278871
+	education.HS-grad	0.113890497534289
+	occupation.Tech-support	0.104801559978143
+	workclass.Self-emp-not-inc	0.0911869726068162
+	native-country.Mexico	0.081461599208144
+	workclass.Federal-gov	0.0785782301236086
+	sex.Male	0.0783006369313957
+	relationship.Wife	0.0749144815167656
+	education.11th	0.0746051436850124
+	occupation.Handlers-cleaners	0.0601209002480329
+	native-country.United-States	0.0593295291546631
+	occupation.Farming-fishing	0.0583149634881263
+	education.10th	0.0544727793656118
+	education.9th	0.052272828491541
+	workclass.Local-gov	0.0519635659099365
+	occupation.?	0.0479530108171804
+	occupation.Protective-serv	0.0451534478142547