Run
9771134

Run 9771134

Task 9986 (Supervised Classification) gas-drift 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)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C1615.6447650754067
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sklearn.svm.classes.SVC(22)_coef00.0
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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
sklearn.feature_selection.variance_threshold.VarianceThreshold(18)_threshold0.0
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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
0.9968 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9948 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9937 ± 0.003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13828.0354 ± 3.7097
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0017 ± 0.0008
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
0.9948 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9948 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5457
Cross-validation details (10-fold Crossvalidation)
Recall
0.9948 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0063 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3707 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0415 ± 0.0094
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1121 ± 0.0255
Cross-validation details (10-fold Crossvalidation)