Run
9703369

Run 9703369

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.preprocessing.data.StandardScaler(14)_with_meantrue
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sklearn.svm.classes.SVC(22)_C17372.175596855854
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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
0.6403 ± 0.0375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8369 ± 0.022
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3822 ± 0.088
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1097.2568 ± 13.6103
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1334 ± 0.0139
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
0.8708 ± 0.0191
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8666 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8666 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4534 ± 0.0471
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
0.3652 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9525 ± 0.0492
Cross-validation details (10-fold Crossvalidation)