Run
10233430

Run 10233430

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 23-07-2019 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
0.717 ± 0.0495
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6357 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2512 ± 0.0608
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.4055 ± 0.0782
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4345 ± 0.0205
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7759 ± 0.0315
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6083 ± 0.0429
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.6083 ± 0.0429
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1968 ± 0.0554
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4694 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1022 ± 0.0408
Cross-validation details (10-fold Crossvalidation)