Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

Random forests are quite robust with respect to m, and rules of thumb such as using m = p/3 for regression and m = √p for classification are sometimes used 7.

Therefore, random forest regression is a very effective method for health insurance prediction. The next model is the linear regression model with a model score of 0.7584.