Run
9695784

Run 9695784

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.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
0.8619 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8014 ± 0.0171
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7337 ± 0.0236
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10483.9469 ± 30.4704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0722 ± 0.0063
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
0.8915 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7835 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5457
Cross-validation details (10-fold Crossvalidation)
Recall
0.7835 ± 0.0189
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2627 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3707 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2687 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7248 ± 0.0317
Cross-validation details (10-fold Crossvalidation)