Run
10428173

Run 10428173

Task 14969 (Supervised Classification) GesturePhaseSegmentationProcessed Uploaded 08-12-2019 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)_C3.933669592353372
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.6715923994046251
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree4
sklearn.svm.classes.SVC(31)_gamma4.372735153234684
sklearn.svm.classes.SVC(31)_kernel"rbf"
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

0.7769 ± 0.0094
Per class
Cross-validation details (10-fold Crossvalidation)
0.4539 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
0.3038 ± 0.015
Cross-validation details (10-fold Crossvalidation)
0.2509 ± 0.0133
Cross-validation details (10-fold Crossvalidation)
0.2505 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.3065 ± 0
Cross-validation details (10-fold Crossvalidation)
0.4999 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
9873
Per class
Cross-validation details (10-fold Crossvalidation)
0.651 ± 0.0168
Per class
Cross-validation details (10-fold Crossvalidation)
0.4999 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
2.1934 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.8173 ± 0.0142
Cross-validation details (10-fold Crossvalidation)
0.3915 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3533 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
0.9026 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
0.3953 ± 0.0127
Cross-validation details (10-fold Crossvalidation)