Run
10228261

Run 10228261

Task 29 (Supervised Classification) credit-approval Uploaded 01-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


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.

17 Evaluation measures

Area under ROC curve
0.8472 ± 0.0393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8582 ± 0.0405
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7181 ± 0.0791
Cross-validation details (10-fold Crossvalidation)
KB relative information score
398.0651 ± 4.1462
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2271 ± 0.0269
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8724 ± 0.0371
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.858 ± 0.0403
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.858 ± 0.0403
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4597 ± 0.0544
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3412 ± 0.0421
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6865 ± 0.0845
Cross-validation details (10-fold Crossvalidation)