Run
9829084

Run 9829084

Task 34538 (Supervised Classification) MiceProtein 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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sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C3.5929340911229697
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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
0.9612 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9322 ± 0.0187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9226 ± 0.0212
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1002.9162 ± 2.0854
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0169 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2185 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9365 ± 0.0173
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9324 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.9931
Cross-validation details (10-fold Crossvalidation)
Recall
0.9324 ± 0.0185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0774 ± 0.0212
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3305 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.13 ± 0.0182
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3933 ± 0.055
Cross-validation details (10-fold Crossvalidation)