Run
9858887

Run 9858887

Task 9956 (Supervised Classification) one-hundred-plants-texture Uploaded 23-10-2018 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
sklearn.preprocessing.data.StandardScaler(14)_with_stdtrue
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sklearn.impute.SimpleImputer(1)_fill_value-1
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sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C108.76190478023094
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sklearn.svm.classes.SVC(22)_class_weightnull
sklearn.svm.classes.SVC(22)_coef00.7134640816705391
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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
0.9223 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8478
Per class
Kappa
0.8446 ± 0.0212
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1352.4665 ± 3.3107
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0031 ± 0.0004
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
0.8611
Per class
Predictive accuracy
0.8462 ± 0.021
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6438
Cross-validation details (10-fold Crossvalidation)
Recall
0.8462 ± 0.021
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1554 ± 0.0212
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0555 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5575 ± 0.0382
Cross-validation details (10-fold Crossvalidation)