Run
10233428

Run 10233428

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.
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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
0.7186 ± 0.0597
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6822 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2595 ± 0.0786
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.5036 ± 0.0501
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4535 ± 0.0143
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
0.7505 ± 0.0332
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6578 ± 0.0423
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.6578 ± 0.0423
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.249 ± 0.0398
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
0.4684 ± 0.0149
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0999 ± 0.0356
Cross-validation details (10-fold Crossvalidation)