Run
10285819

Run 10285819

Task 167124 (Supervised Classification) CIFAR_10 Uploaded 30-07-2019 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)_gamma0.001
sklearn_extra.fast_kernel.FKCEigenPro(1)_kernel"laplace"
sklearn_extra.fast_kernel.FKCEigenPro(1)_kernel_params"null"
sklearn_extra.fast_kernel.FKCEigenPro(1)_n_components1000
sklearn_extra.fast_kernel.FKCEigenPro(1)_n_epoch2
sklearn_extra.fast_kernel.FKCEigenPro(1)_random_state30362
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

0.6397 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
0.325 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
0.2794 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
0.3218 ± 0.007
Cross-validation details (10-fold Crossvalidation)
0.1297 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
0.18
Cross-validation details (10-fold Crossvalidation)
60000
Per class
Cross-validation details (10-fold Crossvalidation)
0.4656 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
0.3515 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
3.3219
Cross-validation details (10-fold Crossvalidation)
0.3515 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
0.7206 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
0.3
Cross-validation details (10-fold Crossvalidation)
0.3601 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
1.2005 ± 0.0062
Cross-validation details (10-fold Crossvalidation)