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Task 31 (Supervised Classification) credit-g Uploaded 17-04-2019 by yang hua
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)	Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(38)_axis	0
sklearn.preprocessing.imputation.Imputer(38)_copy	true
sklearn.preprocessing.imputation.Imputer(38)_missing_values	"NaN"
sklearn.preprocessing.imputation.Imputer(38)_strategy	"mean"
sklearn.preprocessing.imputation.Imputer(38)_verbose	0
sklearn.tree.tree.DecisionTreeClassifier(37)_class_weight	null
sklearn.tree.tree.DecisionTreeClassifier(37)_criterion	"gini"
sklearn.tree.tree.DecisionTreeClassifier(37)_max_depth	null
sklearn.tree.tree.DecisionTreeClassifier(37)_max_features	null
sklearn.tree.tree.DecisionTreeClassifier(37)_max_leaf_nodes	null
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_decrease	0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_split	null
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_leaf	1
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_split	2
sklearn.tree.tree.DecisionTreeClassifier(37)_min_weight_fraction_leaf	0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_presort	false
sklearn.tree.tree.DecisionTreeClassifier(37)_random_state	48439
sklearn.tree.tree.DecisionTreeClassifier(37)_splitter	"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)_memory	null
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]