Run
10154874

Run 10154874

Task 6 (Supervised Classification) letter 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
0.9963 ± 0.0003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8856 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.881 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18069.723 ± 7.5976
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0102 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8877 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8856 ± 0.004
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8856 ± 0.004
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1378 ± 0.004
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0826 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4298 ± 0.0084
Cross-validation details (10-fold Crossvalidation)