Run
10229075

Run 10229075

Task 3903 (Supervised Classification) pc3 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)_bandwidth4
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)_degree4
sklearn_extra.fast_kernel.FKC_EigenPro(1)_gammanull
sklearn_extra.fast_kernel.FKC_EigenPro(1)_kernel"laplace"
sklearn_extra.fast_kernel.FKC_EigenPro(1)_kernel_paramsnull
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_components2000
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_epoch2
sklearn_extra.fast_kernel.FKC_EigenPro(1)_random_state64628
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

0.5702 ± 0.0419
Per class
Cross-validation details (10-fold Crossvalidation)
0.8712 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
0.1964 ± 0.1015
Cross-validation details (10-fold Crossvalidation)
0.2383 ± 0.0732
Cross-validation details (10-fold Crossvalidation)
0.1056 ± 0.0102
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)
0.8645 ± 0.0187
Per class
Cross-validation details (10-fold Crossvalidation)
0.8944 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
0.4765 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.8944 ± 0.0102
Per class
Cross-validation details (10-fold Crossvalidation)
0.5732 ± 0.0552
Cross-validation details (10-fold Crossvalidation)
0.3031 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.3249 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
1.0718 ± 0.0511
Cross-validation details (10-fold Crossvalidation)