Question 5 Select all the options that are true about the differences and similarities between random forests and boosting. You should only tick an option if you're sure that it's correct. Increasing the number of trees to a large number can drive boosting to overfit, but not random forests. Both random forests and boosting learn interaction effects, Random forests use relatively small trees, while boosting uses relatively large trees Both random forests and boosting fit additive models. In both random forests and boosting the growth of each tree takes into account the trees that are already in the model