Updated baseline files for LightGBMClassificationTest()

Author: mstfbl

test/BaselineOutput/Common/LightGBMBinary/LightGBM-TrainTest-breast-cancer-out.txt

@@ -8,28 +8,28 @@ Confusion table
           ||======================
 PREDICTED || positive | negative | Recall
 TRUTH     ||======================
- positive ||      240 |        1 | 0.9959
- negative ||       11 |      447 | 0.9760
+ positive ||      238 |        3 | 0.9876
+ negative ||       10 |      448 | 0.9782
           ||======================
-Precision ||   0.9562 |   0.9978 |
-OVERALL 0/1 ACCURACY: 0.982833
-LOG LOSS/instance:  0.086938
+Precision ||   0.9597 |   0.9933 |
+OVERALL 0/1 ACCURACY: 0.981402
+LOG LOSS/instance:  0.075271
 Test-set entropy (prior Log-Loss/instance): 0.929318
-LOG-LOSS REDUCTION (RIG): 0.906450
-AUC:                0.996313
+LOG-LOSS REDUCTION (RIG): 0.919004
+AUC:                0.998840
 
 OVERALL RESULTS
 ---------------------------------------
-AUC:                0.996313 (0.0000)
-Accuracy:           0.982833 (0.0000)
-Positive precision: 0.956175 (0.0000)
-Positive recall:    0.995851 (0.0000)
-Negative precision: 0.997768 (0.0000)
-Negative recall:    0.975983 (0.0000)
-Log-loss:           0.086938 (0.0000)
-Log-loss reduction: 0.906450 (0.0000)
-F1 Score:           0.975610 (0.0000)
-AUPRC:              0.987034 (0.0000)
+AUC:                0.998840 (0.0000)
+Accuracy:           0.981402 (0.0000)
+Positive precision: 0.959677 (0.0000)
+Positive recall:    0.987552 (0.0000)
+Negative precision: 0.993348 (0.0000)
+Negative recall:    0.978166 (0.0000)
+Log-loss:           0.075271 (0.0000)
+Log-loss reduction: 0.919004 (0.0000)
+F1 Score:           0.973415 (0.0000)
+AUPRC:              0.997830 (0.0000)
 
 ---------------------------------------
 Physical memory usage(MB): %Number%

test/BaselineOutput/Common/LightGBMBinary/LightGBM-TrainTest-breast-cancer-rp.txt

@@ -1,4 +1,4 @@
 LightGBMBinary
 AUC	Accuracy	Positive precision	Positive recall	Negative precision	Negative recall	Log-loss	Log-loss reduction	F1 Score	AUPRC	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
-0.996313	0.982833	0.956175	0.995851	0.997768	0.975983	0.086938	0.906450	0.97561	0.987034	20	0.25	5	5	1	LightGBMBinary	%Data%	%Data%	%Output%	99	0	0	maml.exe TrainTest test=%Data% tr=LightGBMBinary{nt=1 nl=5 mil=5 lr=0.25 iter=20 mb=255} cache=- dout=%Output% loader=Text{sparse- col=Attr:TX:6 col=Label:0 col=Features:1-5,6,7-9} data=%Data% out=%Output% seed=1	/iter:20;/lr:0.25;/nl:5;/mil:5;/nt:1	
+0.99884	0.981402	0.959677	0.987552	0.993348	0.978166	0.075271	0.919004	0.973415	0.99783	20	0.25	5	5	1	LightGBMBinary	%Data%	%Data%	%Output%	99	0	0	maml.exe TrainTest test=%Data% tr=LightGBMBinary{nt=1 nl=5 mil=5 lr=0.25 iter=20 mb=255} cache=- dout=%Output% loader=Text{sparse- col=Attr:TX:6 col=Label:0 col=Features:1-5,6,7-9} data=%Data% out=%Output% seed=1	/iter:20;/lr:0.25;/nl:5;/mil:5;/nt:1