Run
10436226

Run 10436226

Task 3904 (Supervised Classification) jm1 Uploaded 20-01-2020 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)_C82.60048604501297
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.0
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree3
sklearn.svm.classes.SVC(31)_gamma0.490328497576602
sklearn.svm.classes.SVC(31)_kernel"rbf"
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.

18 Evaluation measures

0.5632 ± 0.0197
Per class
Cross-validation details (10-fold Crossvalidation)
0.7621 ± 0.0131
Per class
Cross-validation details (10-fold Crossvalidation)
0.1637 ± 0.0478
Cross-validation details (10-fold Crossvalidation)
0.2379 ± 0.0366
Cross-validation details (10-fold Crossvalidation)
0.2016 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
0.3121 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.7984 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
10885
Per class
Cross-validation details (10-fold Crossvalidation)
0.7544 ± 0.0168
Per class
Cross-validation details (10-fold Crossvalidation)
0.7984 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
0.7087 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.6458 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
0.395 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.449 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
1.1365 ± 0.0278
Cross-validation details (10-fold Crossvalidation)
0.5632 ± 0.0197
Cross-validation details (10-fold Crossvalidation)