An actuary is using a K-nearest neighbors classifier on a training set of 25 binary observations. Among these 25 observations, 13 observations belong to the first class while 12 observations belong to the second class. Determine which of the following statements is/are true. No explanation needed. I. When K = 1, the training error rate is zero. II. When K = 25, the training error rate is 13/25. III. The best value of K is 1.

(A) I only

(B) II only

(C) III only

(D) I, II, and III

(E) The correct answer is not given by (A), (B), (C), or (D).