You used the k-Nearest Neighbors method for estimation (e.g., estimate the credit score for a new customer). You set k = 1 to 20 and the data mining software reported the best k = 5.

The table below gives the 5 nearest neighbors in the training set for a new observation and the credit score for each neighbor.

Neighbor	1	2	3	4	5
Credit Score	600	605	628	623	619

Answer the following questions based on the above information.

Question 23A-

The best k achieves the smallest __________ on the validation set.

Question 23A options:

	overall error rate
	root mean squared error
	class 1 error rate
	class 0 error rate

23B.

For the new customer, the estimated credit score = __________.

Question 23B options:

	605
	615
	628
	600
	619
	623