Run
10228464

Run 10228464

Task 40 (Supervised Classification) glass Uploaded 08-06-2019 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
0.7848 ± 0.0982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5744
Per class
Kappa
0.4609 ± 0.1523
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2264 ± 0.0409
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2027 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6179
Per class
Predictive accuracy
0.6075 ± 0.1139
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1835 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
Recall
0.6075 ± 0.1139
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9578 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3129 ± 0.0121
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9645 ± 0.0366
Cross-validation details (10-fold Crossvalidation)