Question: Question 1 ( 1 point ) How does Random Forest reduce the likelihood of overfitting compared to a single decision tree? By averaging the predictions

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
Question 1(1 point) How does Random Forest reduce the likelihood of

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