Run 10398110

Task 49 (Supervised Classification) tic-tac-toe Uploaded 03-09-2019 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)(2)	Automatically created scikit-learn flow.
sklearn.impute._base.SimpleImputer(3)_add_indicator	false
sklearn.impute._base.SimpleImputer(3)_copy	true
sklearn.impute._base.SimpleImputer(3)_fill_value	null
sklearn.impute._base.SimpleImputer(3)_missing_values	NaN
sklearn.impute._base.SimpleImputer(3)_strategy	"most_frequent"
sklearn.impute._base.SimpleImputer(3)_verbose	0
sklearn.svm.classes.SVC(32)_C	0.655523576885994
sklearn.svm.classes.SVC(32)_cache_size	200
sklearn.svm.classes.SVC(32)_class_weight	null
sklearn.svm.classes.SVC(32)_coef0	0.5042146248891441
sklearn.svm.classes.SVC(32)_decision_function_shape	"ovr"
sklearn.svm.classes.SVC(32)_degree	2
sklearn.svm.classes.SVC(32)_gamma	0.004535572329647122
sklearn.svm.classes.SVC(32)_kernel	"rbf"
sklearn.svm.classes.SVC(32)_max_iter	-1
sklearn.svm.classes.SVC(32)_probability	false
sklearn.svm.classes.SVC(32)_random_state	1
sklearn.svm.classes.SVC(32)_shrinking	true
sklearn.svm.classes.SVC(32)_tol	0.001
sklearn.svm.classes.SVC(32)_verbose	false
sklearn.preprocessing._encoders.OneHotEncoder(12)_categorical_features	null
sklearn.preprocessing._encoders.OneHotEncoder(12)_categories	null
sklearn.preprocessing._encoders.OneHotEncoder(12)_drop	null
sklearn.preprocessing._encoders.OneHotEncoder(12)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(12)_handle_unknown	"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(12)_n_values	null
sklearn.preprocessing._encoders.OneHotEncoder(12)_sparse	true
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(2)_memory	null
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(2)_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)(2)_verbose	false