Run
9705078

Run 9705078

Task 14964 (Supervised Classification) artificial-characters 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.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
0.9487 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9077 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.897 ± 0.012
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9200.7791 ± 11.6311
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0184 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.179 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
10218
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9077 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9078 ± 0.0107
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2849
Cross-validation details (10-fold Crossvalidation)
Recall
0.9078 ± 0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.103 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2992 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1358 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4539 ± 0.0264
Cross-validation details (10-fold Crossvalidation)