Run
10315611

Run 10315611

Task 2074 (Supervised Classification) satimage Uploaded 13-08-2019 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)_degree3
sklearn_extra.fast_kernel.FKCEigenPro(1)_gamma10.0
sklearn_extra.fast_kernel.FKCEigenPro(1)_kernel"laplace"
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_state30572
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

0.8952 ± 0.1246
Per class
Cross-validation details (10-fold Crossvalidation)
0.8281 ± 0.2199
Per class
Cross-validation details (10-fold Crossvalidation)
0.7804 ± 0.2546
Cross-validation details (10-fold Crossvalidation)
0.7925 ± 0.2441
Cross-validation details (10-fold Crossvalidation)
0.0598 ± 0.0741
Cross-validation details (10-fold Crossvalidation)
0.2701 ± 0
Cross-validation details (10-fold Crossvalidation)
6430
Per class
Cross-validation details (10-fold Crossvalidation)
0.859 ± 0.0777
Per class
Cross-validation details (10-fold Crossvalidation)
0.8205 ± 0.2223
Cross-validation details (10-fold Crossvalidation)
2.4834 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.8205 ± 0.2223
Per class
Cross-validation details (10-fold Crossvalidation)
0.2215 ± 0.2743
Cross-validation details (10-fold Crossvalidation)
0.3675 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2446 ± 0.1157
Cross-validation details (10-fold Crossvalidation)
0.6655 ± 0.3148
Cross-validation details (10-fold Crossvalidation)