Run
10228491

Run 10228491

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 15-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


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
0.5928 ± 0.403
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6518 ± 0.1174
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2879 ± 0.2704
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0693 ± 0.0797
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4999 ± 0.0001
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
0.738 ± 0.153
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6977 ± 0.1165
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9682 ± 0.0639
Cross-validation details (10-fold Crossvalidation)
Recall
0.6977 ± 0.1165
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0435 ± 0.0485
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
0.4999 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0224 ± 0.0483
Cross-validation details (10-fold Crossvalidation)