Run
10229124

Run 10229124

Task 9946 (Supervised Classification) wdbc Uploaded 08-07-2019 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)_bandwidth1.0
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)_degree2
sklearn_extra.fast_kernel.FKC_EigenPro(1)_gamma100.0
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_state60359
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

Area under ROC curve
0.9633 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9683 ± 0.0309
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9319 ± 0.0659
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9304 ± 0.0672
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0316 ± 0.0307
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9684 ± 0.0302
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9684 ± 0.0307
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9526 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Recall
0.9684 ± 0.0307
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0676 ± 0.0654
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1779 ± 0.1217
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3679 ± 0.2512
Cross-validation details (10-fold Crossvalidation)