Run
10432253

Run 10432253

Task 14970 (Supervised Classification) har Uploaded 12-12-2019 by Heinrich Peters
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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)_C0.17472943136649935
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.4792232631919062
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree3
sklearn.svm.classes.SVC(31)_gamma0.0009346242929671978
sklearn.svm.classes.SVC(31)_kernel"sigmoid"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilitytrue
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

0.9868 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
0.8925 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
0.8706 ± 0.0107
Cross-validation details (10-fold Crossvalidation)
0.8499 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.0599 ± 0.002
Cross-validation details (10-fold Crossvalidation)
0.2771 ± 0
Cross-validation details (10-fold Crossvalidation)
0.8924 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
10299
Per class
Cross-validation details (10-fold Crossvalidation)
0.8926 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
0.8924 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
2.5759 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.2161 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.3722 ± 0
Cross-validation details (10-fold Crossvalidation)
0.167 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.4487 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
0.8862 ± 0.0097
Cross-validation details (10-fold Crossvalidation)