Run
9199720

Run 9199720

Task 219 (Supervised Classification) electricity 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
0.7883 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7055 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4088 ± 0.0196
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17717.9735 ± 63.8589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3014 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7706 ± 0.0084
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7306 ± 0.0081
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7306 ± 0.0081
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6168 ± 0.0137
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4577 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.926 ± 0.016
Cross-validation details (10-fold Crossvalidation)