Run 10229148

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 09-07-2019 by Jan Ernsting
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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,binarizer=sklea rn.preprocessing.data.Binarizer,clf=sklearn.tree.tree.DecisionTreeClassifie r)(1)	Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(43)_class_weight	null
sklearn.tree.tree.DecisionTreeClassifier(43)_criterion	"gini"
sklearn.tree.tree.DecisionTreeClassifier(43)_max_depth	null
sklearn.tree.tree.DecisionTreeClassifier(43)_max_features	null
sklearn.tree.tree.DecisionTreeClassifier(43)_max_leaf_nodes	null
sklearn.tree.tree.DecisionTreeClassifier(43)_min_impurity_decrease	0.0
sklearn.tree.tree.DecisionTreeClassifier(43)_min_impurity_split	null
sklearn.tree.tree.DecisionTreeClassifier(43)_min_samples_leaf	1
sklearn.tree.tree.DecisionTreeClassifier(43)_min_samples_split	2
sklearn.tree.tree.DecisionTreeClassifier(43)_min_weight_fraction_leaf	0.0
sklearn.tree.tree.DecisionTreeClassifier(43)_presort	false
sklearn.tree.tree.DecisionTreeClassifier(43)_random_state	61961
sklearn.tree.tree.DecisionTreeClassifier(43)_splitter	"best"
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,binarizer=sklearn.preprocessing.data.Binarizer,clf=sklearn.tree.tree.DecisionTreeClassifier)(1)_memory	null
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,binarizer=sklearn.preprocessing.data.Binarizer,clf=sklearn.tree.tree.DecisionTreeClassifier)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "pca", "step_name": "pca"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "binarizer", "step_name": "binarizer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "clf", "step_name": "clf"}}]
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,binarizer=sklearn.preprocessing.data.Binarizer,clf=sklearn.tree.tree.DecisionTreeClassifier)(1)_verbose	false
sklearn.decomposition.pca.PCA(9)_copy	true
sklearn.decomposition.pca.PCA(9)_iterated_power	"auto"
sklearn.decomposition.pca.PCA(9)_n_components	null
sklearn.decomposition.pca.PCA(9)_random_state	11018
sklearn.decomposition.pca.PCA(9)_svd_solver	"auto"
sklearn.decomposition.pca.PCA(9)_tol	0.0
sklearn.decomposition.pca.PCA(9)_whiten	false
sklearn.preprocessing.data.Binarizer(4)_copy	true
sklearn.preprocessing.data.Binarizer(4)_threshold	0.0