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* added in win-arm64 * fixed MKL arm64 cmake issue * right helix queue * added in win-arm64 * fixed MKL arm64 cmake issue * right helix queue * fixing arm tests * makes x64 test detection better * change test label * fixed onnx files not being included * added new win-arm baselines * baseline changes * fixed build issue * fixed test * one more basleine * fixed pack for mkl redist * .NET update
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56 changes: 56 additions & 0 deletions
56
...elineOutput/Common/AveragedPerceptron/win-arm/AveragedPerceptron-CV-breast-cancer-out.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| maml.exe CV tr=AveragedPerceptron{lr=0.01 iter=100 lazy+} 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 800 instances with missing features during training (over 100 iterations; 8 inst/iter) | ||
| Training calibrator. | ||
| Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. | ||
| Warning: Skipped 800 instances with missing features during training (over 100 iterations; 8 inst/iter) | ||
| 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 || 132 | 2 | 0.9851 | ||
| negative || 8 | 212 | 0.9636 | ||
| ||====================== | ||
| Precision || 0.9429 | 0.9907 | | ||
| OVERALL 0/1 ACCURACY: 0.971751 | ||
| LOG LOSS/instance: 0.136411 | ||
| Test-set entropy (prior Log-Loss/instance): 0.956998 | ||
| LOG-LOSS REDUCTION (RIG): 0.857460 | ||
| AUC: 0.994199 | ||
| 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 || 98 | 7 | 0.9333 | ||
| negative || 3 | 221 | 0.9866 | ||
| ||====================== | ||
| Precision || 0.9703 | 0.9693 | | ||
| OVERALL 0/1 ACCURACY: 0.969605 | ||
| LOG LOSS/instance: 0.118826 | ||
| Test-set entropy (prior Log-Loss/instance): 0.903454 | ||
| LOG-LOSS REDUCTION (RIG): 0.868476 | ||
| AUC: 0.997577 | ||
|
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||
| OVERALL RESULTS | ||
| --------------------------------------- | ||
| AUC: 0.995888 (0.0017) | ||
| Accuracy: 0.970678 (0.0011) | ||
| Positive precision: 0.956577 (0.0137) | ||
| Positive recall: 0.959204 (0.0259) | ||
| Negative precision: 0.979976 (0.0107) | ||
| Negative recall: 0.975122 (0.0115) | ||
| Log-loss: 0.127618 (0.0088) | ||
| Log-loss reduction: 0.862968 (0.0055) | ||
| F1 Score: 0.957480 (0.0060) | ||
| AUPRC: 0.992003 (0.0026) | ||
|
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||
| --------------------------------------- | ||
| Physical memory usage(MB): %Number% | ||
| Virtual memory usage(MB): %Number% | ||
| %DateTime% Time elapsed(s): %Number% | ||
|
|
4 changes: 4 additions & 0 deletions
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...selineOutput/Common/AveragedPerceptron/win-arm/AveragedPerceptron-CV-breast-cancer-rp.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
| AveragedPerceptron | ||
| AUC Accuracy Positive precision Positive recall Negative precision Negative recall Log-loss Log-loss reduction F1 Score AUPRC /lr /iter Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings | ||
| 0.995888 0.970678 0.956577 0.959204 0.979976 0.975122 0.127618 0.862968 0.95748 0.992003 0.01 100 AveragedPerceptron %Data% %Output% 99 0 0 maml.exe CV tr=AveragedPerceptron{lr=0.01 iter=100 lazy+} threads=- dout=%Output% data=%Data% seed=1 /lr:0.01;/iter:100 | ||
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...mon/AveragedPerceptron/win-arm/AveragedPerceptron-CV-breast-cancer.PAVcalibration-out.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| maml.exe CV tr=AveragedPerceptron threads=- cali=PAV 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 80 instances with missing features during training (over 10 iterations; 8 inst/iter) | ||
| Training calibrator. | ||
| PAV calibrator: piecewise function approximation has 5 components. | ||
| Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. | ||
| Warning: Skipped 80 instances with missing features during training (over 10 iterations; 8 inst/iter) | ||
| Training calibrator. | ||
| PAV calibrator: piecewise function approximation has 6 components. | ||
| 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 || 133 | 1 | 0.9925 | ||
| negative || 9 | 211 | 0.9591 | ||
| ||====================== | ||
| Precision || 0.9366 | 0.9953 | | ||
| OVERALL 0/1 ACCURACY: 0.971751 | ||
| LOG LOSS/instance: Infinity | ||
| Test-set entropy (prior Log-Loss/instance): 0.956998 | ||
| LOG-LOSS REDUCTION (RIG): -Infinity | ||
| AUC: 0.994403 | ||
| 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 || 100 | 5 | 0.9524 | ||
| negative || 3 | 221 | 0.9866 | ||
| ||====================== | ||
| Precision || 0.9709 | 0.9779 | | ||
| OVERALL 0/1 ACCURACY: 0.975684 | ||
| LOG LOSS/instance: 0.227705 | ||
| Test-set entropy (prior Log-Loss/instance): 0.903454 | ||
| LOG-LOSS REDUCTION (RIG): 0.747961 | ||
| AUC: 0.997619 | ||
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||
| OVERALL RESULTS | ||
| --------------------------------------- | ||
| AUC: 0.996011 (0.0016) | ||
| Accuracy: 0.973718 (0.0020) | ||
| Positive precision: 0.953747 (0.0171) | ||
| Positive recall: 0.972459 (0.0201) | ||
| Negative precision: 0.986580 (0.0087) | ||
| Negative recall: 0.972849 (0.0138) | ||
| Log-loss: Infinity (NaN) | ||
| Log-loss reduction: -Infinity (NaN) | ||
| F1 Score: 0.962653 (0.0011) | ||
| AUPRC: 0.992269 (0.0025) | ||
|
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||
| --------------------------------------- | ||
| Physical memory usage(MB): %Number% | ||
| Virtual memory usage(MB): %Number% | ||
| %DateTime% Time elapsed(s): %Number% | ||
|
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4 changes: 4 additions & 0 deletions
4
...mmon/AveragedPerceptron/win-arm/AveragedPerceptron-CV-breast-cancer.PAVcalibration-rp.txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
| AveragedPerceptron | ||
| AUC Accuracy Positive precision Positive recall Negative precision Negative recall Log-loss Log-loss reduction F1 Score AUPRC Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings | ||
| 0.996011 0.973718 0.953747 0.972459 0.98658 0.972849 Infinity -Infinity 0.962653 0.992269 AveragedPerceptron %Data% %Output% 99 0 0 maml.exe CV tr=AveragedPerceptron threads=- cali=PAV dout=%Output% data=%Data% seed=1 | ||
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