Run
9203794

Run 9203794

Task 168305 (Supervised Classification) ML2017-challenge-1 Uploaded 22-06-2018 by Mini Challenge Anonymous
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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
0.9293 ± 0.0173
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9319 ± 0.0169
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8637 ± 0.0335
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2762.7629 ± 10.7222
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0676 ± 0.0165
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9402 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9324 ± 0.0165
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9324 ± 0.0165
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1354 ± 0.033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.26 ± 0.0302
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5205 ± 0.0606
Cross-validation details (10-fold Crossvalidation)