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What is Random Forests 22 about?

Random Forests are an ensemble learning method that builds multiple decision trees and combines their predictions through majority voting. It utilizes techniques like bagging and the random subspace method to create diverse trees from subsets of data and features. The approach helps prevent overfitting compared to single decision trees and is applicable for both classification and regression tasks.

Author

abdoo.ali201114

Language

EN