Question 6
Consider the following adaboost models:
Which of the following statements are MOST accurate?
adb1 is less likely to overfit than adb2 because its base trees are shallower.
Increasing n_estimators always improves test accuracy for AdaBoost.
Learning rate affects the contribution of each base learner; a smaller learning rate always reduces training accuracy.
adb2 with deeper trees will have lower bias but higher variance than adb1.