Run
10229090

Run 10229090

Task 9960 (Supervised Classification) wall-robot-navigation Uploaded 06-07-2019 by Heinrich Peters
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_coef00.1
sklearn_extra.fast_kernel.FKC_EigenPro(1)_degree2
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_components500
sklearn_extra.fast_kernel.FKC_EigenPro(1)_n_epoch5
sklearn_extra.fast_kernel.FKC_EigenPro(1)_random_state59833
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

0.94 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
0.9225 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
0.8829 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
0.8905 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
0.0387 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
0.3312 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
5456
Per class
Cross-validation details (10-fold Crossvalidation)
0.9226 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
0.9227 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
1.7146 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
0.9227 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
0.1168 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
0.4069 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.1967 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
0.4832 ± 0.0329
Cross-validation details (10-fold Crossvalidation)