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Revert "Updated baseline files for DartLightGBMTest()"
This reverts commit 4397725.
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test/BaselineOutput/Common/LightGBM/LightGBMDart-CV-breast-cancer.dart-out.txt

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