Run
10229131

Run 10229131

Task 146230 (Supervised Classification) Titanic Uploaded 08-07-2019 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
0.6886 ± 0.0447
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7635 ± 0.038
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4456 ± 0.0907
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1262 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4626 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4374 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
2201
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7653 ± 0.0378
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7733 ± 0.0345
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9077 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Recall
0.7733 ± 0.0345
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0575 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4676 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4676 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9999 ± 0.0123
Cross-validation details (10-fold Crossvalidation)