-
Notifications
You must be signed in to change notification settings - Fork 1.9k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
NetCore3.1 generates different test result issue (#5047)
* fix difference by using different result * add netcore3.1 baseline results * sync latest and merge * modify configuration specific baselines to support combination of configuration * take comments * remove unnecessary changes * take comments
- Loading branch information
1 parent
770327a
commit adad3e4
Showing
70 changed files
with
16,692 additions
and
97 deletions.
There are no files selected for viewing
15 changes: 15 additions & 0 deletions
15
test/BaselineOutput/Common/Command/netcoreapp31/CommandTrainMlrWithStats-out.txt
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,15 @@ | ||
maml.exe Train tr=MultiClassLogisticRegression{maxiter=100 t=- stat=+} loader=TextLoader{col=Label:TX:4 col=Features:R4:0-3 sep=,} data=%Data% out=%Output% seed=1 xf=Term{col=Label} | ||
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. | ||
Beginning optimization | ||
num vars: 15 | ||
improvement criterion: Mean Improvement | ||
L1 regularization selected 10 of 15 weights. | ||
Model trained with 150 training examples. | ||
Residual Deviance: 132.4371 | ||
Null Deviance: 329.58368 | ||
AIC: 152.4371 | ||
Not training a calibrator because it is not needed. | ||
Physical memory usage(MB): %Number% | ||
Virtual memory usage(MB): %Number% | ||
%DateTime% Time elapsed(s): %Number% | ||
|
17 changes: 17 additions & 0 deletions
17
test/BaselineOutput/Common/Command/netcoreapp31/CommandTrainMlrWithStats-summary.txt
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,17 @@ | ||
LbfgsMaximumEntropyMulticlassTrainer bias and non-zero weights | ||
Iris-setosa+(Bias) 2.2171915 | ||
Iris-versicolor+(Bias) 0.76931 | ||
Iris-virginica+(Bias) -2.9864972 | ||
Iris-setosa+f3 -3.179184 | ||
Iris-setosa+f2 -2.8718326 | ||
Iris-setosa+f1 0.5830593 | ||
Iris-versicolor+f1 -0.68959576 | ||
Iris-virginica+f3 3.145027 | ||
Iris-virginica+f2 1.882819 | ||
Iris-virginica+f0 0.0037482954 | ||
|
||
*** MODEL STATISTICS SUMMARY *** | ||
Count of training examples: 150 | ||
Residual Deviance: 132.4371 | ||
Null Deviance: 329.58368 | ||
AIC: 152.4371 |
56 changes: 56 additions & 0 deletions
56
test/BaselineOutput/Common/LdSvm/netcoreapp31/LDSVM-def-CV-breast-cancer-out.txt
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,56 @@ | ||
maml.exe CV tr=LdSvm{iter=1000} threads=- dout=%Output% data=%Data% seed=1 | ||
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. | ||
Warning: Skipped 8 rows with missing feature/label values | ||
Training calibrator. | ||
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. | ||
Warning: Skipped 8 rows with missing feature/label values | ||
Training calibrator. | ||
Warning: The predictor produced non-finite prediction values on 8 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable. | ||
TEST POSITIVE RATIO: 0.3785 (134.0/(134.0+220.0)) | ||
Confusion table | ||
||====================== | ||
PREDICTED || positive | negative | Recall | ||
TRUTH ||====================== | ||
positive || 134 | 0 | 1.0000 | ||
negative || 12 | 208 | 0.9455 | ||
||====================== | ||
Precision || 0.9178 | 1.0000 | | ||
OVERALL 0/1 ACCURACY: 0.966102 | ||
LOG LOSS/instance: 0.121887 | ||
Test-set entropy (prior Log-Loss/instance): 0.956998 | ||
LOG-LOSS REDUCTION (RIG): 0.872636 | ||
AUC: 0.994437 | ||
Warning: The predictor produced non-finite prediction values on 8 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable. | ||
TEST POSITIVE RATIO: 0.3191 (105.0/(105.0+224.0)) | ||
Confusion table | ||
||====================== | ||
PREDICTED || positive | negative | Recall | ||
TRUTH ||====================== | ||
positive || 101 | 4 | 0.9619 | ||
negative || 5 | 219 | 0.9777 | ||
||====================== | ||
Precision || 0.9528 | 0.9821 | | ||
OVERALL 0/1 ACCURACY: 0.972644 | ||
LOG LOSS/instance: 0.160647 | ||
Test-set entropy (prior Log-Loss/instance): 0.903454 | ||
LOG-LOSS REDUCTION (RIG): 0.822185 | ||
AUC: 0.984694 | ||
|
||
OVERALL RESULTS | ||
--------------------------------------- | ||
AUC: 0.989565 (0.0049) | ||
Accuracy: 0.969373 (0.0033) | ||
Positive precision: 0.935319 (0.0175) | ||
Positive recall: 0.980952 (0.0190) | ||
Negative precision: 0.991031 (0.0090) | ||
Negative recall: 0.961567 (0.0161) | ||
Log-loss: 0.141267 (0.0194) | ||
Log-loss reduction: 0.847411 (0.0252) | ||
F1 Score: 0.957244 (0.0001) | ||
AUPRC: 0.986457 (0.0034) | ||
|
||
--------------------------------------- | ||
Physical memory usage(MB): %Number% | ||
Virtual memory usage(MB): %Number% | ||
%DateTime% Time elapsed(s): %Number% | ||
|
4 changes: 4 additions & 0 deletions
4
test/BaselineOutput/Common/LdSvm/netcoreapp31/LDSVM-def-CV-breast-cancer-rp.txt
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,4 @@ | ||
LdSvm | ||
AUC Accuracy Positive precision Positive recall Negative precision Negative recall Log-loss Log-loss reduction F1 Score AUPRC /iter Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings | ||
0.989565 0.969373 0.935319 0.980952 0.991031 0.961567 0.141267 0.847411 0.957244 0.986457 1000 LdSvm %Data% %Output% 99 0 0 maml.exe CV tr=LdSvm{iter=1000} threads=- dout=%Output% data=%Data% seed=1 /iter:1000 | ||
|
Oops, something went wrong.