Run
9199773

Run 9199773

Task 167141 (Supervised Classification) churn 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
0.8464 ± 0.02
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8708 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4649 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
947.3925 ± 29.0259
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1683 ± 0.011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2429 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8701 ± 0.0118
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8716 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5883
Cross-validation details (10-fold Crossvalidation)
Recall
0.8716 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.693 ± 0.0451
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3484 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3212 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9219 ± 0.0429
Cross-validation details (10-fold Crossvalidation)