Run
10331063

Run 10331063

Task 125922 (Supervised Classification) texture Uploaded 20-08-2019 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)_C19426.1130025452
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)_gamma5.703547912811604e-05
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_state26025
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

0.9992 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
0.9985 ± 0.0012
Per class
Cross-validation details (10-fold Crossvalidation)
0.9984 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
0.9985 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
0.0003 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.1653
Cross-validation details (10-fold Crossvalidation)
5500
Per class
Cross-validation details (10-fold Crossvalidation)
0.9985 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
0.9985 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
3.4594
Cross-validation details (10-fold Crossvalidation)
0.9985 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
0.0016 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
0.2875
Cross-validation details (10-fold Crossvalidation)
0.0163 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.0566 ± 0.0334
Cross-validation details (10-fold Crossvalidation)