Consider a training set that contains 100 positive examples and 400 negative examples. For each of the following candidate rules, R1: A + (covers 4 positive and 1 negative examples), R2: B + (covers 30 positive and 10 negative examples), R3: C + (covers 100 positive and 90 negative examples), determine which is the best and worst candidate rule according to: (a) Rule accuracy. (b) FOILs information gain.