Run
10424901

Run 10424901

Task 49 (Supervised Classification) tic-tac-toe Uploaded 05-12-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm .classes.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.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,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,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": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)_verbosefalse
sklearn.preprocessing._encoders.OneHotEncoder(11)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_dropnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(11)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(11)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_sparsetrue

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

0.8385 ± 0.0338
Per class
Cross-validation details (10-fold Crossvalidation)
0.75 ± 0.0451
Per class
Cross-validation details (10-fold Crossvalidation)
0.4519 ± 0.103
Cross-validation details (10-fold Crossvalidation)
0.32 ± 0.0633
Cross-validation details (10-fold Crossvalidation)
0.3088 ± 0.0257
Cross-validation details (10-fold Crossvalidation)
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
0.7484 ± 0.0432
Cross-validation details (10-fold Crossvalidation)
958
Per class
Cross-validation details (10-fold Crossvalidation)
0.7522 ± 0.0459
Per class
Cross-validation details (10-fold Crossvalidation)
0.7484 ± 0.0432
Cross-validation details (10-fold Crossvalidation)
0.931 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
0.6817 ± 0.0568
Cross-validation details (10-fold Crossvalidation)
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.3983 ± 0.0246
Cross-validation details (10-fold Crossvalidation)
0.8369 ± 0.0517
Cross-validation details (10-fold Crossvalidation)
0.729 ± 0.0553
Cross-validation details (10-fold Crossvalidation)