Run
10228797

Run 10228797

Task 23 (Supervised Classification) cmc Uploaded 21-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
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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
0.6347 ± 0.0308
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4674 ± 0.0279
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1898 ± 0.0396
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0925 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4225 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4782 ± 0.0273
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4705 ± 0.0263
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.539 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Recall
0.4705 ± 0.0263
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9807 ± 0.0115
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4593 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9897 ± 0.0117
Cross-validation details (10-fold Crossvalidation)