Run
9787745

Run 9787745

Task 18 (Supervised Classification) mfeat-morphological 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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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
0.8569 ± 0.0141
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7379 ± 0.0271
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7139 ± 0.0282
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1461.4349 ± 5.3152
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0515 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7414 ± 0.0334
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7425 ± 0.0254
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7425 ± 0.0254
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2861 ± 0.0282
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2269 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7565 ± 0.038
Cross-validation details (10-fold Crossvalidation)