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randomforestregressor in sklearn Code Example
randomforestregressor in 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]]))



Python

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Type:
 Code Example
Category:
 Coding
Sub Category:
 Code Example
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