Run
10432991

Run 10432991

Task 10093 (Supervised Classification) banknote-authentication Uploaded 15-12-2019 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"median"
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)_C0.08200442824551421
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.5680164008176842
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree5
sklearn.svm.classes.SVC(31)_gamma0.011344266977438774
sklearn.svm.classes.SVC(31)_kernel"rbf"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilitytrue
sklearn.svm.classes.SVC(31)_random_state1
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.

18 Evaluation measures

0.9885 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
0.9352 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
0.8688 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
0.8303 ± 0.0433
Cross-validation details (10-fold Crossvalidation)
0.0888 ± 0.0209
Cross-validation details (10-fold Crossvalidation)
0.4939 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.9351 ± 0.0233
Cross-validation details (10-fold Crossvalidation)
1372
Per class
Cross-validation details (10-fold Crossvalidation)
0.9353 ± 0.0226
Per class
Cross-validation details (10-fold Crossvalidation)
0.9351 ± 0.0233
Cross-validation details (10-fold Crossvalidation)
0.9911 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.1797 ± 0.0423
Cross-validation details (10-fold Crossvalidation)
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.2089 ± 0.0346
Cross-validation details (10-fold Crossvalidation)
0.4205 ± 0.0696
Cross-validation details (10-fold Crossvalidation)
0.9349 ± 0.0227
Cross-validation details (10-fold Crossvalidation)