Run
10228391

Run 10228391

Task 59 (Supervised Classification) iris Uploaded 04-06-2019 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
0.9969 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667 ± 0.0355
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95 ± 0.0527
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.7054 ± 0.0292
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1747 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9668 ± 0.0293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667 ± 0.0351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.393 ± 0.0333
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2324 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4929 ± 0.0397
Cross-validation details (10-fold Crossvalidation)