Updated baseline files for DartLightGBMTest()

Author: mstfbl

test/BaselineOutput/Common/LightGBM/LightGBMDart-CV-breast-cancer.dart-out.txt

@@ -12,42 +12,42 @@ Confusion table
           ||======================
 PREDICTED || positive | negative | Recall
 TRUTH     ||======================
- positive ||      128 |        6 | 0.9552
- negative ||       10 |      218 | 0.9561
+ positive ||      124 |       10 | 0.9254
+ negative ||        9 |      219 | 0.9605
           ||======================
-Precision ||   0.9275 |   0.9732 |
-OVERALL 0/1 ACCURACY: 0.955801
-LOG LOSS/instance:  0.301908
+Precision ||   0.9323 |   0.9563 |
+OVERALL 0/1 ACCURACY: 0.947514
+LOG LOSS/instance:  0.303740
 Test-set entropy (prior Log-Loss/instance): 0.950799
-LOG-LOSS REDUCTION (RIG): 0.682470
-AUC:                0.982473
+LOG-LOSS REDUCTION (RIG): 0.680543
+AUC:                0.984944
 TEST POSITIVE RATIO:	0.3175 (107.0/(107.0+230.0))
 Confusion table
           ||======================
 PREDICTED || positive | negative | Recall
 TRUTH     ||======================
- positive ||      100 |        7 | 0.9346
- negative ||        8 |      222 | 0.9652
+ positive ||       97 |       10 | 0.9065
+ negative ||       10 |      220 | 0.9565
           ||======================
-Precision ||   0.9259 |   0.9694 |
-OVERALL 0/1 ACCURACY: 0.955490
-LOG LOSS/instance:  0.290926
+Precision ||   0.9065 |   0.9565 |
+OVERALL 0/1 ACCURACY: 0.940653
+LOG LOSS/instance:  0.297583
 Test-set entropy (prior Log-Loss/instance): 0.901650
-LOG-LOSS REDUCTION (RIG): 0.677340
-AUC:                0.992076
+LOG-LOSS REDUCTION (RIG): 0.669957
+AUC:                0.991833
 
 OVERALL RESULTS
 ---------------------------------------
-AUC:                0.987274 (0.0048)
-Accuracy:           0.955645 (0.0002)
-Positive precision: 0.926731 (0.0008)
-Positive recall:    0.944902 (0.0103)
-Negative precision: 0.971323 (0.0019)
-Negative recall:    0.960679 (0.0045)
-Log-loss:           0.296417 (0.0055)
-Log-loss reduction: 0.679905 (0.0026)
-F1 Score:           0.935705 (0.0055)
-AUPRC:              0.969894 (0.0121)
+AUC:                0.988388 (0.0034)
+Accuracy:           0.944083 (0.0034)
+Positive precision: 0.919436 (0.0129)
+Positive recall:    0.915958 (0.0094)
+Negative precision: 0.956427 (0.0001)
+Negative recall:    0.958524 (0.0020)
+Log-loss:           0.300661 (0.0031)
+Log-loss reduction: 0.675250 (0.0053)
+F1 Score:           0.917691 (0.0111)
+AUPRC:              0.972137 (0.0107)
 
 ---------------------------------------
 Physical memory usage(MB): %Number%

test/BaselineOutput/Common/LightGBM/LightGBMDart-CV-breast-cancer.dart-rp.txt

@@ -1,4 +1,4 @@
 LightGBM
 AUC	Accuracy	Positive precision	Positive recall	Negative precision	Negative recall	Log-loss	Log-loss reduction	F1 Score	AUPRC	/iter	/lr	/nl	/mil	/booster	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
-0.987274	0.955645	0.926731	0.944902	0.971323	0.960679	0.296417	0.679905	0.935705	0.969894	10	0.2	20	10	dart	1	LightGBM	%Data%		%Output%	99	0	0	maml.exe CV tr=LightGBM{nt=1 iter=10 booster=dart lr=0.2 mil=10 nl=20} threads=- cache=- dout=%Output% loader=Text{sparse- col=Attr:TX:6 col=Label:0 col=Features:1-5,6,7-9} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/booster:dart;/nt:1	
+0.988388	0.944083	0.919436	0.915958	0.956427	0.958524	0.300661	0.67525	0.917691	0.972137	10	0.2	20	10	dart	1	LightGBM	%Data%		%Output%	99	0	0	maml.exe CV tr=LightGBM{nt=1 iter=10 booster=dart lr=0.2 mil=10 nl=20} threads=- cache=- dout=%Output% loader=Text{sparse- col=Attr:TX:6 col=Label:0 col=Features:1-5,6,7-9} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/booster:dart;/nt:1