Run
10392361

Run 10392361

Task 9910 (Supervised Classification) Bioresponse Uploaded 27-08-2019 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,svc=sklearn.svm.cl asses.SVC)(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"median"
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.svm.classes.SVC(31)_C0.0625957382855844
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.06841249227557245
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree4
sklearn.svm.classes.SVC(31)_gamma0.03247401424135849
sklearn.svm.classes.SVC(31)_kernel"sigmoid"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilityfalse
sklearn.svm.classes.SVC(31)_random_state1
sklearn.svm.classes.SVC(31)_shrinkingtrue
sklearn.svm.classes.SVC(31)_tol0.001
sklearn.svm.classes.SVC(31)_verbosefalse
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(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": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_verbosefalse

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

0.524 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
0.5276 ± 0.0165
Per class
Cross-validation details (10-fold Crossvalidation)
0.048 ± 0.0327
Cross-validation details (10-fold Crossvalidation)
0.0459 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
0.4721 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
0.4964 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
3751
Per class
Cross-validation details (10-fold Crossvalidation)
0.5274 ± 0.0164
Per class
Cross-validation details (10-fold Crossvalidation)
0.5279 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
0.9948 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.5279 ± 0.0167
Per class
Cross-validation details (10-fold Crossvalidation)
0.9511 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
0.4982 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.6871 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
1.3792 ± 0.0245
Cross-validation details (10-fold Crossvalidation)