Run
10387302

Run 10387302

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 26-08-2019 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
0.7314 ± 0.0431
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6428 ± 0.0456
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2489 ± 0.0735
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.3379 ± 0.0646
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4199 ± 0.0164
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
0.7684 ± 0.037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.615 ± 0.0471
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.615 ± 0.0471
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1566 ± 0.0457
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
0.4602 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0807 ± 0.035
Cross-validation details (10-fold Crossvalidation)