Run
9822018

Run 9822018

Task 9954 (Supervised Classification) one-hundred-plants-margin 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.data.StandardScaler(14)_with_stdtrue
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sklearn.svm.classes.SVC(22)_C4281.713416391949
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sklearn.svm.classes.SVC(22)_coef00.06711690546699334
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sklearn.svm.classes.SVC(22)_degree5
sklearn.svm.classes.SVC(22)_gamma0.0025819105907371833
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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
sklearn.feature_selection.variance_threshold.VarianceThreshold(18)_threshold0.0
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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
0.8699 ± 0.0152
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7604
Per class
Kappa
0.7399 ± 0.0305
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1187.1009 ± 4.8364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0051 ± 0.0006
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)
Precision
0.807
Per class
Predictive accuracy
0.7425 ± 0.0302
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6439
Cross-validation details (10-fold Crossvalidation)
Recall
0.7425 ± 0.0302
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2601 ± 0.0305
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0718 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7213 ± 0.0429
Cross-validation details (10-fold Crossvalidation)