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How does Random Forest reduce overfitting compared with a single tree?

A It averages many decorrelated trees trained on bootstrap samples with random feature subsets
B It uses fewer features
C It prunes more aggressively
D It trains sequentially

Answer

It averages many decorrelated trees trained on bootstrap samples with random feature subsets

Averaging independent models reduces variance, which is the defining property of bagging methods.

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