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11 lines
427 B
Python
11 lines
427 B
Python
from trees.Stree import Stree
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from sklearn.datasets import make_classification
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random_state = 1
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X, y = make_classification(n_samples=1500, n_features=3, n_informative=3,
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n_redundant=0, n_repeated=0, n_classes=2, n_clusters_per_class=2,
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class_sep=1.5, flip_y=0,weights=[0.5,0.5], random_state=random_state)
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model = Stree(random_state=random_state)
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model.fit(X, y)
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model.show_outcomes()
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