Run
9649951

Run 9649951

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 20-10-2018 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)_C15772.47287114278
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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
0.6961 ± 0.0217
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7579 ± 0.0218
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4575 ± 0.0455
Cross-validation details (10-fold Crossvalidation)
KB relative information score
999.9254 ± 6.7759
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2107 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8407 ± 0.009
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7893 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.7893 ± 0.0157
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4651 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.459 ± 0.0172
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9645 ± 0.0355
Cross-validation details (10-fold Crossvalidation)