Run
10559664

Run 10559664

Task 3573 (Supervised Classification) mnist_784 Uploaded 19-08-2020 by Prabhant Singh
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  • openml-python Torch_1.6.0_cu101.
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Flow

torch.nn.modules.container.Sequential.ee39b87dd683a3ec(1)Automatically created pytorch flow.
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Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.9964 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9345 ± 0.0116
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9273 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9139 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0249 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9346 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9345 ± 0.0116
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9346 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1383 ± 0.0291
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1012 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3374 ± 0.0307
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.9342 ± 0.0117
Cross-validation details (10-fold Crossvalidation)