Question: How does a random forest reduce the risk of overfitting compared to a single decision tree? Question 3 options: By using the entire dataset for

How does a random forest reduce the risk of overfitting compared to a single decision tree?
Question 3 options:
By using the entire dataset for each tree.
By using only a subset of features at each split in the trees.
By using linear regression within each tree.
By pruning the trees to a fixed depth.

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