Question 11 We are given a data sets = {($i, yi) , i = I, 1 pts N} fora binary classification task where e RD. We want to use a nearest-neighbor classifier. In which of the following situations will typically reduce the classification error (as opposed to increasing it)? A) Increasing N, while keeping D fixed. B) Increasing D, while keeping N fixed.