Run
10349363

Run 10349363

Task 10093 (Supervised Classification) banknote-authentication Uploaded 21-08-2019 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)_C0.15156102539111138
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.38605808705221434
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree5
sklearn.svm.classes.SVC(31)_gamma0.03915297753383304
sklearn.svm.classes.SVC(31)_kernel"poly"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilityfalse
sklearn.svm.classes.SVC(31)_random_state50394
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

0.7205 ± 0.0298
Per class
Cross-validation details (10-fold Crossvalidation)
0.726 ± 0.0336
Per class
Cross-validation details (10-fold Crossvalidation)
0.467 ± 0.0598
Cross-validation details (10-fold Crossvalidation)
0.494 ± 0.0542
Cross-validation details (10-fold Crossvalidation)
0.2485 ± 0.0266
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)
0.8283 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
0.7515 ± 0.0266
Cross-validation details (10-fold Crossvalidation)
0.9911 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.7515 ± 0.0266
Per class
Cross-validation details (10-fold Crossvalidation)
0.5033 ± 0.0539
Cross-validation details (10-fold Crossvalidation)
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.4985 ± 0.0277
Cross-validation details (10-fold Crossvalidation)
1.0033 ± 0.0556
Cross-validation details (10-fold Crossvalidation)