I’ve been using random forest regression to calculate the Return On Ad Spend (ROAS) when the user gives the upper bound. My model takes in three input variables: the cost of TV, Radio and Newspaper ads. However, to find the most optimal value, I need to use a for loop to iterate through every dollar, which is time-consuming. Is there a faster method to find the highest y value in my program?