OpenML
9204079

Run 9204079

Task 168305 (Supervised Classification) ML2017-challenge-1 Uploaded 30-06-2018 by Mini Challenge Anonymous
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8226 ± 0.0176
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.81 ± 0.0197
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6348 ± 0.0353
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2008.6195 ± 11.6668
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1852 ± 0.0181
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
0.8654 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8148 ± 0.0181
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.8148 ± 0.0181
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3712 ± 0.0363
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4304 ± 0.0209
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8616 ± 0.0418
Cross-validation details (10-fold Crossvalidation)