Run
9203170

Run 9203170

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 05-06-2018 by Katharina Eggensperger
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Flow

__main__.PythonChallengeClassifier(4)Automatically created scikit-learn flow.

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
0.5045 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7236 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.009 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-7734.8652 ± 0.1715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2753 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7224 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7247 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.7247 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9828 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5247 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.402 ± 0.0001
Cross-validation details (10-fold Crossvalidation)