Run
9821981

Run 9821981

Task 9970 (Supervised Classification) hill-valley 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.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
0.6081 ± 0.0407
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5438 ± 0.057
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2162 ± 0.0814
Cross-validation details (10-fold Crossvalidation)
KB relative information score
262 ± 9.773
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3919 ± 0.0402
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7478 ± 0.0568
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6081 ± 0.0402
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6081 ± 0.0402
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7838 ± 0.0804
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.626 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2521 ± 0.065
Cross-validation details (10-fold Crossvalidation)