Run
9863074

Run 9863074

Task 3485 (Supervised Classification) scene Uploaded 23-10-2018 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.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
0.9186 ± 0.0354
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9568 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8519 ± 0.0452
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1985.3314 ± 11.7734
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0428 ± 0.0114
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
0.9566 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9572 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.9572 ± 0.0114
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1455 ± 0.039
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
0.2069 ± 0.0279
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5395 ± 0.0735
Cross-validation details (10-fold Crossvalidation)