(Adaboosting) Consider the Adaboosting algorithm for classification in the following example. Suppose we have 3 data points of (Yi, Xi ) is (Y, X) = (-1,0), (1, 1), (-1,2) The three weak learners are hi (x) = sign (x - 0.5) h2 (x) = -sign (x - 1.5) h3 (x) =-1 Now we consider the original weights w1 = w2 = w3 = = of these three points, and we choose hi (x) = sign (x - 0.5) in the first round of Adaboosting. Answer the following questions on Adaboosting. D Question 2 1 pts After the first round, what are the updated weights $(w_1, w_2, w_3)$ of the 3 data points after re- normalization? O (1/4, 1/4, 1/2) O (1/2, 1/4, 1/4) O (1/4, 1/2, 1/4) O None of them