Run
9199741

Run 9199741

Task 9964 (Supervised Classification) semeion 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
0.9623 ± 0.0159
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.797 ± 0.0369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7677 ± 0.044
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1247.4267 ± 6.5912
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0418 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1593
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8377 ± 0.0327
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.791 ± 0.0396
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.791 ± 0.0396
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2322 ± 0.0435
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2031 ± 0.0198
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6769 ± 0.0661
Cross-validation details (10-fold Crossvalidation)