Run
10228312

Run 10228312

Task 10101 (Supervised Classification) blood-transfusion-service-center 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
0.7142 ± 0.0591
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7504 ± 0.052
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2727 ± 0.1477
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-527.5291 ± 0.5674
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5 ± 0
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
0.7456 ± 0.0615
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7714 ± 0.05
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7714 ± 0.05
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.3772 ± 0.0087
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
0.5 ± 0
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1741 ± 0.0074
Cross-validation details (10-fold Crossvalidation)