RID Age Income Student? Credit_rating Class: Buy_Computer? 1 40 medium no excellent no3. k-Nearest Neighbors Given the same training data in question 1 (Buy_Computer dataset example), use k- Nearest Neighbor algorithm (k = 3) to predict the class for a new instance: age w, . (a,b)/4, where is 8(a, b)=1 if a: equals be and 0 otherwise. a and be are either age, income, student or credit-rating. Weights are all 1 except for income, which is 2