Random Forest Algorithm – InsideAIML

Random Forest algorithm is an ensemble model that uses “Bagging” as the ensemble method and decision tree as the individual model. It is a learning method that works by constructing multiple decision trees and the final decision is made based on the majority of the trees and is chosen by the random forest.
The random forest comes under supervised learning and can be used for both classification as well as regression problems. But mostly, it is used for classification problems.

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