Run
9813277

Run 9813277

Task 3543 (Supervised Classification) irish 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)_sparsetrue
sklearn.svm.classes.SVC(22)_C4105.620328026224
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sklearn.svm.classes.SVC(22)_gamma3.2892790837169366
sklearn.svm.classes.SVC(22)_kernel"rbf"
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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
0.9572 ± 0.0302
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9618 ± 0.0277
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9224 ± 0.0561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
461.2723 ± 2.708
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.038 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4938 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9644 ± 0.0242
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.962 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.991
Cross-validation details (10-fold Crossvalidation)
Recall
0.962 ± 0.0274
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.077 ± 0.0554
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1949 ± 0.1005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3923 ± 0.2019
Cross-validation details (10-fold Crossvalidation)