Run
9698818

Run 9698818

Task 9986 (Supervised Classification) gas-drift 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._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C18165.410045044475
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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
0.9464 ± 0.0057
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9201 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8975 ± 0.011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12577.1578 ± 14.1756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.028 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2748 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
13910
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9393 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.916 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5457
Cross-validation details (10-fold Crossvalidation)
Recall
0.916 ± 0.009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.102 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3707 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1674 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4516 ± 0.0241
Cross-validation details (10-fold Crossvalidation)