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Task 37 (Supervised Classification) diabetes Uploaded 23-03-2019 by Munira Alballa
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pip eline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classe s.SVC))(2)	Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(27)_C	100
sklearn.svm.classes.SVC(27)_cache_size	200
sklearn.svm.classes.SVC(27)_class_weight	null
sklearn.svm.classes.SVC(27)_coef0	0.0
sklearn.svm.classes.SVC(27)_decision_function_shape	"ovr"
sklearn.svm.classes.SVC(27)_degree	3
sklearn.svm.classes.SVC(27)_gamma	"auto_deprecated"
sklearn.svm.classes.SVC(27)_kernel	"rbf"
sklearn.svm.classes.SVC(27)_max_iter	-1
sklearn.svm.classes.SVC(27)_probability	false
sklearn.svm.classes.SVC(27)_random_state	59309
sklearn.svm.classes.SVC(27)_shrinking	true
sklearn.svm.classes.SVC(27)_tol	0.001
sklearn.svm.classes.SVC(27)_verbose	false
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_cv	5
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_error_score	"raise-deprecating"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_fit_params	null
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_iid	"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_n_jobs	null
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_param_grid	{"svm__C": [0.001, 0.01, 0.1, 1, 10, 100], "svm__gamma": [0.001, 0.01, 0.1, 1, 10, 100]}
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_pre_dispatch	"2*n_jobs"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_refit	true
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_return_train_score	"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_scoring	null
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC))(2)_verbose	0
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC)(3)_memory	null
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC)(3)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svm", "step_name": "svm"}}]
sklearn.preprocessing.data.MinMaxScaler(6)_copy	true
sklearn.preprocessing.data.MinMaxScaler(6)_feature_range	[0, 1]