<aside> 📖 Random Forest is an ensemble learning technique used for both classification and regression tasks in machine learning. It operates by constructing a multitude of decision trees at training time and outputs the class that is the mode of the classes (classification) or the mean prediction (regression) of the individual trees. This ensemble approach, combined with the randomness, helps to improve the model's accuracy, robustness, and ability to generalize to new, unseen data.
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