Random Forest Classifier(How Does It Work?)
2 min readDec 31, 2022
One of the most popular supervised algorithms used in Machine Learning is the Random Forest Classifier. A Random Forest Classifier is an ensemble learning method that builds multiple decision trees and combines them to create a single model that can be used for both classification and regression tasks. This article will explain how a Random Forest Classifier works and how it can be used to solve various problems in machine learning.
