OpenML
10324259

Run 10324259

Task 3903 (Supervised Classification) pc3 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)_C0.17043643978607886
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef0-0.259782057260844
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree1
sklearn.svm.classes.SVC(31)_gamma0.07353964847134783
sklearn.svm.classes.SVC(31)_kernel"sigmoid"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilityfalse
sklearn.svm.classes.SVC(31)_random_state25319
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

0.5208 ± 0.0207
Per class
Cross-validation details (10-fold Crossvalidation)
0.8509 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
0.0602 ± 0.0564
Cross-validation details (10-fold Crossvalidation)
0.1368 ± 0.1041
Cross-validation details (10-fold Crossvalidation)
0.1196 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
0.1842 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
1563
Per class
Cross-validation details (10-fold Crossvalidation)
0.8323 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
0.8804 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
0.4765 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.8804 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
0.6496 ± 0.0782
Cross-validation details (10-fold Crossvalidation)
0.3031 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.3459 ± 0.0206
Cross-validation details (10-fold Crossvalidation)
1.1411 ± 0.0686
Cross-validation details (10-fold Crossvalidation)