Run
9199710

Run 9199710

Task 23 (Supervised Classification) cmc Uploaded 03-05-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.naive_bayes.GaussianNB)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"median"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(1)_memorynull
sklearn.naive_bayes.GaussianNB(8)_priorsnull

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
0.6659 ± 0.0272
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4694 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2172 ± 0.0555
Cross-validation details (10-fold Crossvalidation)
KB relative information score
328.0526 ± 5.5358
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3728 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5103 ± 0.0328
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4684 ± 0.0414
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.4684 ± 0.0414
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8653 ± 0.0359
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4816 ± 0.0168
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0376 ± 0.0365
Cross-validation details (10-fold Crossvalidation)