Question $1(1$ point$)$

How does Random Forest reduce the likelihood of overfitting compared to a single

decision tree?

By averaging the predictions of multiple trees

By pruning trees more aggressively

By randomly sampling features for each split

By increasing the depth of each tree

By using gradient descent to optimize splits