import RandomForestClassifier
from sklearn.ensemble import RandomForestClassifierimport RandomForestClassifier
from sklearn.ensemble import RandomForestClassifierrandomforestclassifier fit sklearn
from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import make_regression
X, y = make_regression(n_features=4, n_informative=2,
random_state=0, shuffle=False)
regr = RandomForestRegressor(max_depth=2, random_state=0)
regr.fit(X, y)
print(regr.predict([[0, 0, 0, 0]]))Copyright © 2021 Codeinu
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