Run
9771230

Run 9771230

Task 21 (Supervised Classification) car 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.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C10312.26179549864
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sklearn.svm.classes.SVC(22)_gamma0.08434587265809348
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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
0.7205 ± 0.044
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7396 ± 0.0339
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4215 ± 0.0775
Cross-validation details (10-fold Crossvalidation)
KB relative information score
676.0667 ± 12.1086
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1256 ± 0.015
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7334 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7488 ± 0.03
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.7488 ± 0.03
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5484 ± 0.0661
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3544 ± 0.0211
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0481 ± 0.0634
Cross-validation details (10-fold Crossvalidation)