Run
10228969

Run 10228969

Task 31 (Supervised Classification) credit-g Uploaded 03-07-2019 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
0.7285 ± 0.0418
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6913 ± 0.0436
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3423 ± 0.0862
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0352 ± 0.055
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4189 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7446 ± 0.0413
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.678 ± 0.0459
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.678 ± 0.0459
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9971 ± 0.0386
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4579 ± 0.0174
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9993 ± 0.0379
Cross-validation details (10-fold Crossvalidation)