random forest regressor python

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1from sklearn.ensemble import RandomForestRegressor
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4clf = RandomForestRegressor(max_depth=2, random_state=0)
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6clf.fit(X, y)
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8print(clf.predict([[0, 0, 0, 0]]))

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