Run
9752020

Run 9752020

Task 3485 (Supervised Classification) scene 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.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
0.8341 ± 0.0385
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8921 ± 0.0216
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6408 ± 0.0704
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1325.3861 ± 22.752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1101 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8952 ± 0.0205
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8899 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8899 ± 0.0229
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3743 ± 0.0781
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3318 ± 0.0333
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8654 ± 0.0879
Cross-validation details (10-fold Crossvalidation)