Run
10325112

Run 10325112

Task 10093 (Supervised Classification) banknote-authentication Uploaded 18-08-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.cl asses.SVC)(1)Automatically created scikit-learn flow.
sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(1)_copytrue
sklearn.impute._base.SimpleImputer(1)_fill_valuenull
sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(1)_strategy"most_frequent"
sklearn.impute._base.SimpleImputer(1)_verbose0
sklearn.preprocessing.data.StandardScaler(29)_copytrue
sklearn.preprocessing.data.StandardScaler(29)_with_meantrue
sklearn.preprocessing.data.StandardScaler(29)_with_stdtrue
sklearn.svm.classes.SVC(31)_C0.8002116789865572
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.346790741622226
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree5
sklearn.svm.classes.SVC(31)_gamma0.056654090108587324
sklearn.svm.classes.SVC(31)_kernel"rbf"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilityfalse
sklearn.svm.classes.SVC(31)_random_state42755
sklearn.svm.classes.SVC(31)_shrinkingtrue
sklearn.svm.classes.SVC(31)_tol0.001
sklearn.svm.classes.SVC(31)_verbosefalse
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_verbosefalse

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

0.9921 ± 0.0097
Per class
Cross-validation details (10-fold Crossvalidation)
0.9913 ± 0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
0.9823 ± 0.0216
Cross-validation details (10-fold Crossvalidation)
0.9822 ± 0.0219
Cross-validation details (10-fold Crossvalidation)
0.0087 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
0.4939 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
1372
Per class
Cross-validation details (10-fold Crossvalidation)
0.9914 ± 0.0102
Per class
Cross-validation details (10-fold Crossvalidation)
0.9913 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
0.9911 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.9913 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
0.0177 ± 0.0218
Cross-validation details (10-fold Crossvalidation)
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.0935 ± 0.0713
Cross-validation details (10-fold Crossvalidation)
0.1882 ± 0.1435
Cross-validation details (10-fold Crossvalidation)