random forest regression in python example

Example 1: sklearn random forest regressor

from sklearn.ensemble import RandomForestRegressor


clf = RandomForestRegressor(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

Example 2: how to use random tree in python

from sklearn.ensemble import RandomForestRegressor

regressor = RandomForestRegressor(n_estimators=20, random_state=0)
regressor.fit(X_train, y_train)
y_pred = regressor.predict(X_test)