Run
10229092

Run 10229092

Task 9971 (Supervised Classification) ilpd 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)_coef00.01
sklearn_extra.fast_kernel.FKC_EigenPro(1)_degree2
sklearn_extra.fast_kernel.FKC_EigenPro(1)_gammanull
sklearn_extra.fast_kernel.FKC_EigenPro(1)_kernel"gaussian"
sklearn_extra.fast_kernel.FKC_EigenPro(1)_kernel_paramsnull
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_components500
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_epoch2
sklearn_extra.fast_kernel.FKC_EigenPro(1)_random_state50684
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

0.5065 ± 0.0234
Per class
Cross-validation details (10-fold Crossvalidation)
0.6099 ± 0.0283
Per class
Cross-validation details (10-fold Crossvalidation)
0.0178 ± 0.0624
Cross-validation details (10-fold Crossvalidation)
0.2187 ± 0.0462
Cross-validation details (10-fold Crossvalidation)
0.295 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
0.4091 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
583
Per class
Cross-validation details (10-fold Crossvalidation)
0.6167 ± 0.084
Per class
Cross-validation details (10-fold Crossvalidation)
0.705 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
0.8641 ± 0.01
Cross-validation details (10-fold Crossvalidation)
0.705 ± 0.0189
Per class
Cross-validation details (10-fold Crossvalidation)
0.7212 ± 0.0436
Cross-validation details (10-fold Crossvalidation)
0.4521 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
0.5432 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
1.2014 ± 0.0345
Cross-validation details (10-fold Crossvalidation)