Run
9653337

Run 9653337

Task 9956 (Supervised Classification) one-hundred-plants-texture Uploaded 20-10-2018 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.data.StandardScaler(14)_with_meantrue
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sklearn.svm.classes.SVC(22)_C9344.710339326426
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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
0.9267 ± 0.0114
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8545
Per class
Kappa
0.8534 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1366.5083 ± 3.5364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0029 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0198 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1599
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8598
Per class
Predictive accuracy
0.8549 ± 0.0227
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6438
Cross-validation details (10-fold Crossvalidation)
Recall
0.8549 ± 0.0227
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1466 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0539 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5414 ± 0.0426
Cross-validation details (10-fold Crossvalidation)