Run
9631684

Run 9631684

Task 3493 (Supervised Classification) monks-problems-2 Uploaded 20-10-2018 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.svm.classes.SVC(22)_C132.63183418974
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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
0.7956 ± 0.0536
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8154 ± 0.0539
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5906 ± 0.1157
Cross-validation details (10-fold Crossvalidation)
KB relative information score
343.595 ± 7.8129
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1847 ± 0.0554
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8155 ± 0.0524
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8153 ± 0.0554
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.8153 ± 0.0554
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4098 ± 0.1232
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4298 ± 0.0687
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9055 ± 0.1456
Cross-validation details (10-fold Crossvalidation)