Run
10354571

Run 10354571

Task 53 (Supervised Classification) vehicle Uploaded 21-08-2019 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"most_frequent"
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)_C0.08310678715769201
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.16839646793719543
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree2
sklearn.svm.classes.SVC(31)_gamma0.16837265611138993
sklearn.svm.classes.SVC(31)_kernel"poly"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilityfalse
sklearn.svm.classes.SVC(31)_random_state19389
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

0.8295 ± 0.0222
Per class
Cross-validation details (10-fold Crossvalidation)
0.7314 ± 0.0349
Per class
Cross-validation details (10-fold Crossvalidation)
0.6596 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
0.6926 ± 0.0399
Cross-validation details (10-fold Crossvalidation)
0.1277 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
0.3748 ± 0
Cross-validation details (10-fold Crossvalidation)
846
Per class
Cross-validation details (10-fold Crossvalidation)
0.7414 ± 0.0359
Per class
Cross-validation details (10-fold Crossvalidation)
0.7447 ± 0.0331
Cross-validation details (10-fold Crossvalidation)
1.9991 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.7447 ± 0.0331
Per class
Cross-validation details (10-fold Crossvalidation)
0.3406 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
0.4329 ± 0
Cross-validation details (10-fold Crossvalidation)
0.3573 ± 0.023
Cross-validation details (10-fold Crossvalidation)
0.8253 ± 0.053
Cross-validation details (10-fold Crossvalidation)