Run
9918440

Run 9918440

Task 54 (Supervised Classification) hepatitis Uploaded 19-12-2018 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
0.734 ± 0.1918
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7534 ± 0.1403
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3253 ± 0.348
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10.245 ± 7.8462
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2649 ± 0.1452
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.788 ± 0.1237
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7355 ± 0.153
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.7355 ± 0.153
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8032 ± 0.4473
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4907 ± 0.176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2123 ± 0.4437
Cross-validation details (10-fold Crossvalidation)