def create_random_forest(forest_size: int, max_depth: int, random_state_local: int):
    random_forest = []
    for i in range(0, forest_size, 1):
        random_forest.append(DecisionTreeRegressor(criterion='friedman_mse', max_depth=max_depth, random_state=random_state_local))
    return random_forest
def create_random_forest(forest_size: int, max_depth: int, random_state_local: int):
    random_forest = []
    for i in range(0, forest_size, 1):
        random_forest.append(DecisionTreeRegressor(criterion='friedman_mse', max_depth=max_depth, random_state=random_state_local))
    return random_forest