Run
9738314

Run 9738314

Task 3493 (Supervised Classification) monks-problems-2 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.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
0.7759 ± 0.0522
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8238 ± 0.0465
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.599 ± 0.1073
Cross-validation details (10-fold Crossvalidation)
KB relative information score
369.0723 ± 6.2895
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1664 ± 0.0433
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
0.841 ± 0.0499
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8336 ± 0.0433
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.8336 ± 0.0433
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3692 ± 0.0966
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
0.4079 ± 0.0531
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8594 ± 0.1132
Cross-validation details (10-fold Crossvalidation)