Run
10154870

Run 10154870

Task 4 (Supervised Classification) labor 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
0.7651 ± 0.139
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.759 ± 0.076
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4639 ± 0.3309
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29.5246 ± 1.5117
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2112 ± 0.1143
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.841 ± 0.0531
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7895 ± 0.1146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.7895 ± 0.1146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4622 ± 0.247
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4585 ± 0.1735
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9607 ± 0.3604
Cross-validation details (10-fold Crossvalidation)