Run
9769898

Run 9769898

Task 9955 (Supervised Classification) one-hundred-plants-shape 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.

15 Evaluation measures

Area under ROC curve
0.6193 ± 0.0112
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2386 ± 0.0223
Cross-validation details (10-fold Crossvalidation)
KB relative information score
391.368 ± 3.573
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0151 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0198
Cross-validation details (10-fold Crossvalidation)
Number of instances
1600
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2463 ± 0.0223
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6439
Cross-validation details (10-fold Crossvalidation)
Recall
0.2463 ± 0.0223
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7614 ± 0.0225
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1228 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.234 ± 0.0182
Cross-validation details (10-fold Crossvalidation)