Run
10424431

Run 10424431

Task 10093 (Supervised Classification) banknote-authentication Uploaded 05-12-2019 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)_C0.40314521746072823
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.2614617204682821
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree1
sklearn.svm.classes.SVC(31)_gamma0.00010783726568112908
sklearn.svm.classes.SVC(31)_kernel"poly"
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

0.9453 ± 0.021
Per class
Cross-validation details (10-fold Crossvalidation)
0.843 ± 0.0416
Per class
Cross-validation details (10-fold Crossvalidation)
0.6868 ± 0.0816
Cross-validation details (10-fold Crossvalidation)
0.6216 ± 0.0623
Cross-validation details (10-fold Crossvalidation)
0.193 ± 0.0291
Cross-validation details (10-fold Crossvalidation)
0.4939 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.8426 ± 0.0415
Cross-validation details (10-fold Crossvalidation)
1372
Per class
Cross-validation details (10-fold Crossvalidation)
0.8538 ± 0.0381
Per class
Cross-validation details (10-fold Crossvalidation)
0.8426 ± 0.0415
Cross-validation details (10-fold Crossvalidation)
0.9911 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.3907 ± 0.059
Cross-validation details (10-fold Crossvalidation)
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.3341 ± 0.0353
Cross-validation details (10-fold Crossvalidation)
0.6723 ± 0.0711
Cross-validation details (10-fold Crossvalidation)
0.8494 ± 0.0405
Cross-validation details (10-fold Crossvalidation)