A random forest averages many deep trees, each fitted to a different random view of the data. The averaging cannot make the individual trees better, and it cannot remove bias. What it removes is variance, and exactly how much is derivable in two lines of arithmetic that also explain why adding ...
Source: [Dev.to](https://dev.to/multigrid/random-forests-and-bagging-where-the-variance-goes-h2o)