Consider a binary classification problem with an ensemble learning algorithm that uses simple majority voting among K learned hypotheses. Suppose that each hypothesis has error E and that the errors made by each hypothesis are independent of the others. Calculate a formula for the error of the ensemble algorithm in terms of K and E, and evaluate it for the cases where K =5, 11, and 21 and E=0.1, 0.2, and 0.4. If the independence assumption is removed, is it possible for the ensemble error to be worse than E?
In Basketball Stars, a player attempts 25 shots in one game.
In basketball stars, a player attempts 25 shots in one game. a) If 15 shots are successful, what is the player’s shooting percentage? b) The next game, the player makes 18 out of 30 shots. Compare the two shooting percentages. c) What is the overall shooting percentage across both