What Does Random Forest Mean?
Random forest is a consensus algorithm used in supervised machine learning (ML) to solve regression and classification problems. Each random forest is comprised of multiple decision trees that work together as an ensemble to produce one prediction.
Techopedia Explains Random Forest
One way to describe the philosophy behind the random forest is that since the random trees have some overlap, engineers can build systems to study data redundantly with the various trees and look for trends and patterns that support a given data outcome.
