Random forests in R programming work in the same fashion as decision trees. It combines all the output from the multiple decision trees and comes up with its output. However, one significant difference from decision trees is that it does not select all the variables and data points in each tree. It just randomly selects and samples variables from each tree and then combines the output.

BY Best Interview Question ON 14 Jul 2020