Run
10313843

Run 10313843

Task 32 (Supervised Classification) pendigits Uploaded 05-08-2019 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,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)_degree4
sklearn_extra.fast_kernel.FKCEigenPro(1)_gamma1000000000.0
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_state22572
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

Area under ROC curve
0.9851 ± 0.0235
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9734 ± 0.0489
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9704 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9719 ± 0.0445
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0053 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9766 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9733 ± 0.0421
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Recall
0.9733 ± 0.0421
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0296 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.073 ± 0.0482
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2434 ± 0.1607
Cross-validation details (10-fold Crossvalidation)