Run
10228495

Run 10228495

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 15-06-2019 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
0.7036 ± 0.3471
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7007 ± 0.2565
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3864 ± 0.5093
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0693 ± 0.2704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4542 ± 0.0902
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
0.7104 ± 0.232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6977 ± 0.2612
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9682 ± 0.0639
Cross-validation details (10-fold Crossvalidation)
Recall
0.6977 ± 0.2612
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9481 ± 0.214
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
0.4783 ± 0.0962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9782 ± 0.2233
Cross-validation details (10-fold Crossvalidation)