Run
9744698

Run 9744698

Task 3510 (Supervised Classification) JapaneseVowels 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.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
0.4387 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0126 ± 0.002
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1219 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-411.5625 ± 3.668
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2184 ± 0.0009
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
0.0308 ± 0.0517
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0173 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1321
Cross-validation details (10-fold Crossvalidation)
Recall
0.0173 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1132 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3132 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4673 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4921 ± 0.003
Cross-validation details (10-fold Crossvalidation)