Can a Random Forest overfit a dataset? If yes, under what circumstances?
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To answer this question, discuss the concept of overfitting in the context of machine learning models, particularly with ensemble methods like Random Forest. Reflect on how the model complexity, number of trees, and depth of each tree can contribute to overfitting. You should also mention how a lack of sufficient data or too much noise in the data can lead to this problem. Ensure your answer includes preventative measures such as cross-validation and setting appropriate hyperparameters.
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