1181 - Explain the sensitivity of the Random Forests classifier to the number of trees and the number of variables used to split the tree nodes

Concepts

• [IP3-4-7-1] Random forest (RF)
  The RF classifier is an ensemble classifier that uses a set of Classification and Regression Trees (CARTs) to make a prediction The trees are created by drawing a subset of training samples through replacement (a bagging approach).