Run
9642003

Run 9642003

Task 9950 (Supervised Classification) micro-mass 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.preprocessing.data.StandardScaler(14)_with_meantrue
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sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C1769.8101668367192
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sklearn.svm.classes.SVC(22)_class_weightnull
sklearn.svm.classes.SVC(22)_coef00.2969764848726144
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sklearn.svm.classes.SVC(22)_degree3
sklearn.svm.classes.SVC(22)_gamma0.04088006799013258
sklearn.svm.classes.SVC(22)_kernel"sigmoid"
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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
0.7859 ± 0.0182
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5935 ± 0.0396
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5724 ± 0.0359
Cross-validation details (10-fold Crossvalidation)
KB relative information score
331.7 ± 1.8839
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0941 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
571
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6 ± 0.0397
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5989 ± 0.0337
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.208
Cross-validation details (10-fold Crossvalidation)
Recall
0.5989 ± 0.0337
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4261 ± 0.0357
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2169 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2003 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9233 ± 0.0386
Cross-validation details (10-fold Crossvalidation)