Run
9199744

Run 9199744

Task 9977 (Supervised Classification) nomao 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
0.8148 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.781 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4382 ± 0.0182
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16211.5999 ± 55.4396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1994 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.796 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8008 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.8008 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4886 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4449 ± 0.007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.985 ± 0.0154
Cross-validation details (10-fold Crossvalidation)