Run
10419818

Run 10419818

Task 11 (Supervised Classification) balance-scale Uploaded 03-12-2019 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)_C8495.49361658936
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.0
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree3
sklearn.svm.classes.SVC(31)_gamma8.947218821753246e-05
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.

17 Evaluation measures

0.9825 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
0.9247 ± 0.0285
Per class
Cross-validation details (10-fold Crossvalidation)
0.8593 ± 0.0551
Cross-validation details (10-fold Crossvalidation)
0.7782 ± 0.0368
Cross-validation details (10-fold Crossvalidation)
0.0951 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
0.3798 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
625
Per class
Cross-validation details (10-fold Crossvalidation)
0.9426 ± 0.023
Per class
Cross-validation details (10-fold Crossvalidation)
0.9168 ± 0.0338
Cross-validation details (10-fold Crossvalidation)
1.3181 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
0.9168 ± 0.0338
Per class
Cross-validation details (10-fold Crossvalidation)
0.2505 ± 0.0302
Cross-validation details (10-fold Crossvalidation)
0.4356 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.2041 ± 0.0246
Cross-validation details (10-fold Crossvalidation)
0.4686 ± 0.0562
Cross-validation details (10-fold Crossvalidation)