Run
9751917

Run 9751917

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.preprocessing.imputation.Imputer(29)_copytrue
sklearn.preprocessing.imputation.Imputer(29)_missing_values"NaN"
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sklearn.preprocessing.data.StandardScaler(14)_with_stdtrue
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sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C0.03739791196532778
sklearn.svm.classes.SVC(22)_cache_size200
sklearn.svm.classes.SVC(22)_class_weightnull
sklearn.svm.classes.SVC(22)_coef0-0.266346175919816
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sklearn.svm.classes.SVC(22)_degree2
sklearn.svm.classes.SVC(22)_gamma0.95968261289166
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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"
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)_sparse_threshold0.3
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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
0.9446 ± 0.0141
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8975 ± 0.0247
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.89 ± 0.028
Cross-validation details (10-fold Crossvalidation)
KB relative information score
41200.3343 ± 116.8359
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0104 ± 0.0026
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
0.9041 ± 0.0171
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8961 ± 0.0265
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.2455
Cross-validation details (10-fold Crossvalidation)
Recall
0.8961 ± 0.0265
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.11 ± 0.028
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2174 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1019 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4689 ± 0.0592
Cross-validation details (10-fold Crossvalidation)