Run
9773401

Run 9773401

Task 3948 (Supervised Classification) KDDCup09_upselling Uploaded 22-10-2018 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.data.StandardScaler(14)_with_meantrue
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sklearn.svm.classes.SVC(22)_C3243.8240259812537
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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
0.6191 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9136 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2988 ± 0.0231
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11066.257 ± 131.0891
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0763 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1364 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
50000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9083 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9237 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3794
Cross-validation details (10-fold Crossvalidation)
Recall
0.9237 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5589 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2612 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2762 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0573 ± 0.0178
Cross-validation details (10-fold Crossvalidation)