Run
9756584

Run 9756584

Task 9968 (Supervised Classification) tamilnadu-electricity 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.svm.classes.SVC(22)_C703.3380936249641
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sklearn.svm.classes.SVC(22)_coef00.7069289795579088
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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
0.706 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4864 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4129 ± 0.0153
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19688.1992 ± 64.9607
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0553 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0945 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
45781
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6891 ± 0.0171
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4474 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.2455
Cross-validation details (10-fold Crossvalidation)
Recall
0.4474 ± 0.0141
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5848 ± 0.0149
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2174 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2351 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0815 ± 0.0139
Cross-validation details (10-fold Crossvalidation)