Run
9803217

Run 9803217

Task 3510 (Supervised Classification) JapaneseVowels 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)_C215.4642977637155
sklearn.svm.classes.SVC(22)_cache_size200
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sklearn.svm.classes.SVC(22)_gamma0.00016288112681360226
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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
0.9558 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9211 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9113 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9109.6192 ± 8.1709
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0174 ± 0.0016
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
0.9211 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9218 ± 0.0074
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1321
Cross-validation details (10-fold Crossvalidation)
Recall
0.9218 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0886 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3132 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1318 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4209 ± 0.0195
Cross-validation details (10-fold Crossvalidation)