Run
9199760

Run 9199760

Task 146818 (Supervised Classification) Australian 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
0.9112 ± 0.031
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8543 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7043 ± 0.0474
Cross-validation details (10-fold Crossvalidation)
KB relative information score
479.9304 ± 2.7317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1509 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8557 ± 0.0217
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551 ± 0.0227
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551 ± 0.0227
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3055 ± 0.0372
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3487 ± 0.0292
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7016 ± 0.0593
Cross-validation details (10-fold Crossvalidation)