Run
10229085

Run 10229085

Task 7592 (Supervised Classification) adult Uploaded 06-07-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklea rn_extra.fast_kernel.FKC_EigenPro)(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_extra.fast_kernel.FKC_EigenPro(1)_bandwidth8
sklearn_extra.fast_kernel.FKC_EigenPro(1)_batch_size"auto"
sklearn_extra.fast_kernel.FKC_EigenPro(1)_coef01
sklearn_extra.fast_kernel.FKC_EigenPro(1)_degree3
sklearn_extra.fast_kernel.FKC_EigenPro(1)_gammanull
sklearn_extra.fast_kernel.FKC_EigenPro(1)_kernel"rbf"
sklearn_extra.fast_kernel.FKC_EigenPro(1)_kernel_paramsnull
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_components1000
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_epoch2
sklearn_extra.fast_kernel.FKC_EigenPro(1)_random_state50480
sklearn_extra.fast_kernel.FKC_EigenPro(1)_subsample_size"auto"
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklearn_extra.fast_kernel.FKC_EigenPro)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklearn_extra.fast_kernel.FKC_EigenPro)(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": "fkc_eigenpro", "step_name": "fkc_eigenpro"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklearn_extra.fast_kernel.FKC_EigenPro)(1)_verbosefalse
sklearn.preprocessing.data.StandardScaler(29)_copytrue
sklearn.preprocessing.data.StandardScaler(29)_with_meantrue
sklearn.preprocessing.data.StandardScaler(29)_with_stdtrue

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

0.7644 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
0.8424 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
0.5567 ± 0.009
Cross-validation details (10-fold Crossvalidation)
0.5254 ± 0.01
Cross-validation details (10-fold Crossvalidation)
0.1533 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.3641 ± 0
Cross-validation details (10-fold Crossvalidation)
48842
Per class
Cross-validation details (10-fold Crossvalidation)
0.8407 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
0.8467 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.7938 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.8467 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
0.4211 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
0.4266 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3915 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
0.9177 ± 0.0097
Cross-validation details (10-fold Crossvalidation)