Multiple Choices
Answer (Choose 1 answer)
A. Random Trees
This is an ensemble model that does not use bootstrapped samples to fit the base trees, takes residuals into account, and fits the base trees iteratively:
B. Boosting
C. Bagging
D. Random Forest
