Run
9918481

Run 9918481

Task 55 (Supervised Classification) vote Uploaded 21-12-2018 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.naive_bayes.MultinomialNB)(1)Automatically created scikit-learn flow.
sklearn.naive_bayes.MultinomialNB(4)_alpha1.0
sklearn.naive_bayes.MultinomialNB(4)_class_priornull
sklearn.naive_bayes.MultinomialNB(4)_fit_priortrue
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.naive_bayes.MultinomialNB)(1)_memorynull

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
0.974 ± 0.0222
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8995 ± 0.0631
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7899 ± 0.1302
Cross-validation details (10-fold Crossvalidation)
KB relative information score
337.991 ± 5.3053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1043 ± 0.0548
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9021 ± 0.059
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8989 ± 0.0636
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.8989 ± 0.0636
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2199 ± 0.116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2823 ± 0.0807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5798 ± 0.1666
Cross-validation details (10-fold Crossvalidation)