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imblearn/ensemble/tests/test_forest.py

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@@ -115,7 +115,7 @@ def test_balanced_random_forest_oob(imbalanced_dataset):
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X_train, X_test, y_train, y_test = train_test_split(
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X, y, random_state=42, stratify=y
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)
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est = BalancedRandomForestClassifier(oob_score=True, random_state=0 )
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est = BalancedRandomForestClassifier(oob_score=True, random_state=0)
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est.fit(X_train, y_train)
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test_score = est.score(X_test, y_test)

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