Run
9199751

Run 9199751

Task 14954 (Supervised Classification) cylinder-bands 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
0.7222 ± 0.0838
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6576 ± 0.056
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3095 ± 0.1055
Cross-validation details (10-fold Crossvalidation)
KB relative information score
137.4617 ± 5.4744
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.365 ± 0.048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6662 ± 0.0498
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6556 ± 0.0567
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.6556 ± 0.0567
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.748 ± 0.0985
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4917 ± 0.0527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9954 ± 0.1067
Cross-validation details (10-fold Crossvalidation)