Run
10315224

Run 10315224

Task 37 (Supervised Classification) diabetes Uploaded 07-08-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklear n_extra.fast_kernel.FKCEigenPro)(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.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(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": "fkceigenpro", "step_name": "fkceigenpro"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)_verbosefalse
sklearn_extra.fast_kernel.FKCEigenPro(1)_bandwidth5
sklearn_extra.fast_kernel.FKCEigenPro(1)_batch_size"auto"
sklearn_extra.fast_kernel.FKCEigenPro(1)_coef01
sklearn_extra.fast_kernel.FKCEigenPro(1)_degree4
sklearn_extra.fast_kernel.FKCEigenPro(1)_gamma100000.0
sklearn_extra.fast_kernel.FKCEigenPro(1)_kernel"rbf"
sklearn_extra.fast_kernel.FKCEigenPro(1)_kernel_paramsnull
sklearn_extra.fast_kernel.FKCEigenPro(1)_n_components3000
sklearn_extra.fast_kernel.FKCEigenPro(1)_n_epoch2
sklearn_extra.fast_kernel.FKCEigenPro(1)_random_state53351
sklearn_extra.fast_kernel.FKCEigenPro(1)_subsample_size"auto"

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

0.7247 ± 0.06
Per class
Cross-validation details (10-fold Crossvalidation)
0.7656 ± 0.0546
Per class
Cross-validation details (10-fold Crossvalidation)
0.4741 ± 0.123
Cross-validation details (10-fold Crossvalidation)
0.4811 ± 0.1137
Cross-validation details (10-fold Crossvalidation)
0.2266 ± 0.0497
Cross-validation details (10-fold Crossvalidation)
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
0.7684 ± 0.0577
Per class
Cross-validation details (10-fold Crossvalidation)
0.7734 ± 0.0497
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.7734 ± 0.0497
Per class
Cross-validation details (10-fold Crossvalidation)
0.4985 ± 0.1093
Cross-validation details (10-fold Crossvalidation)
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.476 ± 0.0518
Cross-validation details (10-fold Crossvalidation)
0.9986 ± 0.1085
Cross-validation details (10-fold Crossvalidation)