Run
9743023

Run 9743023

Task 9956 (Supervised Classification) one-hundred-plants-texture 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.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.

15 Evaluation measures

Area under ROC curve
0.5104 ± 0.0081
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0208 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
KB relative information score
45.6111 ± 2.6068
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0194 ± 0.0003
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)
Predictive accuracy
0.0306 ± 0.0163
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6438
Cross-validation details (10-fold Crossvalidation)
Recall
0.0306 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9791 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1392 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3994 ± 0.0118
Cross-validation details (10-fold Crossvalidation)