This video explains the random forest algorithm that combines multiple decision trees, each trained on different subsets of data and input features, to produce more accurate predictions by averaging their outputs using the majority rule.
This video is a part of the L4-ML Machine Learning: Specialization self-paced course. To learn more about it and enroll into the course, visit https://knime.learnupon.com/saml/init?redirect_uri=/catalog/courses/4387303