Run
10154861

Run 10154861

Task 54 (Supervised Classification) hepatitis Uploaded 27-02-2019 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.discriminant_analysis.QuadraticDiscriminantAnalysis)(1)Automatically created scikit-learn flow.
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.discriminant_analysis.QuadraticDiscriminantAnalysis)(1)_memorynull
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_priorsnull
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_reg_param0.0
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_store_covariancefalse
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_store_covariancesnull
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_tol0.0001

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
0.7741 ± 0.1706
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6194 ± 0.1418
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.183 ± 0.2062
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-81.1688 ± 6.7767
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4317 ± 0.1362
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
0.7689 ± 0.1072
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5806 ± 0.1471
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.5806 ± 0.1471
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.3087 ± 0.3921
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
0.6448 ± 0.1186
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5929 ± 0.2691
Cross-validation details (10-fold Crossvalidation)