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Task 3 (Supervised Classification) kr-vs-kp Uploaded 20-08-2019 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_indicator	false
sklearn.impute._base.SimpleImputer(1)_copy	true
sklearn.impute._base.SimpleImputer(1)_fill_value	null
sklearn.impute._base.SimpleImputer(1)_missing_values	NaN
sklearn.impute._base.SimpleImputer(1)_strategy	"most_frequent"
sklearn.impute._base.SimpleImputer(1)_verbose	0
sklearn.svm.classes.SVC(31)_C	2.5918689981661567
sklearn.svm.classes.SVC(31)_cache_size	200
sklearn.svm.classes.SVC(31)_class_weight	null
sklearn.svm.classes.SVC(31)_coef0	0.3186996400686849
sklearn.svm.classes.SVC(31)_decision_function_shape	"ovr"
sklearn.svm.classes.SVC(31)_degree	3
sklearn.svm.classes.SVC(31)_gamma	0.0016271844595562733
sklearn.svm.classes.SVC(31)_kernel	"rbf"
sklearn.svm.classes.SVC(31)_max_iter	-1
sklearn.svm.classes.SVC(31)_probability	false
sklearn.svm.classes.SVC(31)_random_state	3877
sklearn.svm.classes.SVC(31)_shrinking	true
sklearn.svm.classes.SVC(31)_tol	0.001
sklearn.svm.classes.SVC(31)_verbose	false
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)_memory	null
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)_verbose	false
sklearn.preprocessing._encoders.OneHotEncoder(11)_categorical_features	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_categories	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_drop	null
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_values	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_sparse	true