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  RF (Random Forest) Information RF (Random Forest) is a machine learning algorithm used for supervised learning problems, such as classification and regression. RF is an ensemble learning method that combines multiple decision trees to improve prediction accuracy. RF builds multiple decision trees using random subsets of the features and data, in order to reduce overfitting and improve generalization. RF uses a com.. Zettelkasten/Terminology Information 2023. 2. 20.