Run
10431976

Run 10431976

Task 3904 (Supervised Classification) jm1 Uploaded 11-12-2019 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)_C170.5572031055097
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.7430320055311159
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree2
sklearn.svm.classes.SVC(31)_gamma0.049727598083142026
sklearn.svm.classes.SVC(31)_kernel"poly"
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

0.6168 ± 0.025
Per class
Cross-validation details (10-fold Crossvalidation)
0.7216 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
0.005 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
0.0049 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
0.3109 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.3121 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.807 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
10885
Per class
Cross-validation details (10-fold Crossvalidation)
0.8014 ± 0.0774
Per class
Cross-validation details (10-fold Crossvalidation)
0.807 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
0.7087 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.9959 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
0.395 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.394 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.9975 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.5015 ± 0.0022
Cross-validation details (10-fold Crossvalidation)