Run
9630065

Run 9630065

Task 3510 (Supervised Classification) JapaneseVowels 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.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
0.6233 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3587 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2541 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3056.02 ± 9.6822
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1403 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1962 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
9961
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8711 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3686 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1321
Cross-validation details (10-fold Crossvalidation)
Recall
0.3686 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7152 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3132 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3746 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.196 ± 0.0085
Cross-validation details (10-fold Crossvalidation)