Consider a simple binary classification problem with one-dimensional feature xx and three training samples:

- sample 1: x=1, y=1

- sample 2: x=3, y=+1

- sample 3: x=5, y=1

At iteration 1, suppose we pick a classifier H(x) that returns -1, if x <= 2 and +1, otherwise. Write down the weight that is assigned to each data point after the first iteration of the AdaBoost algorithm: weight on sample 1 = ____ (ans1)

weight on sample 2 = ____ (ans2)

weight on sample 3 = ____ (ans3) Question: Please, help me with finding ans1, ans2 and ans3.