The Data Science Lab Random Forest Regression and Bagging Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression ...

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.

Random forests and gradient boosting can be used for time series forecasting, but they require that the data be transformed for supervised learning.