Run
10228296

Run 10228296

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 01-06-2019 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
0.5792 ± 0.403
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7262 ± 0.1301
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4239 ± 0.4157
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.5076 ± 0.4788
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4607 ± 0.0307
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4791 ± 0.0218
Cross-validation details (10-fold Crossvalidation)
Number of instances
43
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.756 ± 0.0855
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7442 ± 0.1755
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10-fold Crossvalidation)
Recall
0.7442 ± 0.1755
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9616 ± 0.0917
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4889 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4686 ± 0.024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9583 ± 0.0763
Cross-validation details (10-fold Crossvalidation)