Run
9698360

Run 9698360

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.svm.classes.SVC(22)_C12.049293255090424
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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
0.5604 ± 0.0466
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6187 ± 0.0564
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1436 ± 0.1033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.0413 ± 3.1395
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3245 ± 0.0228
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
0.6509 ± 0.0816
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6755 ± 0.0228
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.6755 ± 0.0228
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7199 ± 0.0499
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
0.5696 ± 0.0199
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2001 ± 0.0412
Cross-validation details (10-fold Crossvalidation)