Run
9689940

Run 9689940

Task 21 (Supervised Classification) car Uploaded 21-10-2018 by Scikit-learn Bot
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,svc=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C137.57675535224766
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sklearn.svm.classes.SVC(22)_coef00.6234047249264478
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sklearn.svm.classes.SVC(22)_degree1
sklearn.svm.classes.SVC(22)_gamma0.003932856506707024
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sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_remainder"passthrough"
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
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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
0.944 ± 0.0211
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.934 ± 0.0205
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8566 ± 0.0444
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1444.5768 ± 8.412
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0333 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9357 ± 0.0212
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9334 ± 0.0203
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9334 ± 0.0203
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1453 ± 0.0444
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1824 ± 0.0278
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5395 ± 0.0823
Cross-validation details (10-fold Crossvalidation)