Run
9691108

Run 9691108

Task 3022 (Supervised Classification) vowel 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.svm.classes.SVC(22)_C264.4443206645736
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sklearn.svm.classes.SVC(22)_gamma6.897673380517232e-05
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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
0.84 ± 0.0243
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7052 ± 0.0459
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.68 ± 0.0485
Cross-validation details (10-fold Crossvalidation)
KB relative information score
690.5527 ± 4.5401
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0529 ± 0.008
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
990
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7134 ± 0.0518
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7091 ± 0.0441
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.7091 ± 0.0441
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.32 ± 0.0485
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.23 ± 0.0179
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8 ± 0.0622
Cross-validation details (10-fold Crossvalidation)