Run
10154866

Run 10154866

Task 218 (Supervised Classification) covertype 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
0.5176 ± 0.0389
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2516
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.025 ± 0.0388
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-65946.5649 ± 5987.287
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.228 ± 0.0309
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.178 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
581012
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4038
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2021 ± 0.108
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7387
Cross-validation details (10-fold Crossvalidation)
Recall
0.2021 ± 0.108
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2804 ± 0.1734
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2984 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4774 ± 0.0329
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.6001 ± 0.1101
Cross-validation details (10-fold Crossvalidation)