In this article, we propose using the principle of boosting to reduce the bias of a random forest prediction in the regression setting. From the original random forest fit, we extract the residuals an
This code optimizes the performance of random forest by maximizing the generalization ability of the model.Outlines:Tune the hyperparameter ntree (the number of trees in the forest) and mtry (the numb
