Run 10160554

Task 168882 (Supervised Classification) test_dataset Uploaded 02-04-2019 by Munira Alballa
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pip eline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute .SimpleImputer,svm=sklearn.svm.classes.SVC))(1)	Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copy	true
sklearn.impute.SimpleImputer(10)_fill_value	null
sklearn.impute.SimpleImputer(10)_missing_values	NaN
sklearn.impute.SimpleImputer(10)_strategy	"mean"
sklearn.impute.SimpleImputer(10)_verbose	0
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	39674
sklearn.svm.classes.SVC(27)_shrinking	true
sklearn.svm.classes.SVC(27)_tol	0.001
sklearn.svm.classes.SVC(27)_verbose	false
sklearn.preprocessing.data.MinMaxScaler(6)_copy	true
sklearn.preprocessing.data.MinMaxScaler(6)_feature_range	[0, 1]
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_cv	5
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_error_score	"raise-deprecating"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_fit_params	null
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_iid	"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_n_jobs	null
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_param_grid	{"svm__C": [2], "svm__gamma": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.1, 0.25, 0.5, 1]}
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_pre_dispatch	"2*n_jobs"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_refit	true
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_return_train_score	"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_scoring	null
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))(1)_verbose	0
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC)(1)_memory	null
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svm", "step_name": "svm"}}]