Random Forest

Random forest is a commonly-used machine learning algorithm, trademarked by Leo Breiman and Adele Cutler, that combines the output of multiple decision trees to reach a single result. Its ease of use and flexibility have fueled its adoption, as it handles both classification and regression problems. Decision trees.

What is random forest used for?

Random Forest is a supervised machine learning algorithm made up of decision trees. Random Forest is used for both classification and regression—for example, classifying whether an email is “spam” or “not spam