Question

You are given the following five three-dimensional training data instances (along with one- dimensional output)

• x1 = 5, x2 = 7, x3 = 3, y = 4
• x1 = 2, x2 = 4, x3 = 9, y = 8
• x1 = 3, x2 = 8, x3 = 1, y = 2
• x1 = 7, x2 = 7, x3 = 2, y = 3
• x1 = 1, x2 = 9, x3 = 7, y = 8

Using the K-nearest neighbour technique for performing regression, what will be the predicted y value corresponding to the query point
(x1 = 5, x2 = 3, x3 = 4), for K = 2?

Answer 1

Answer:

Soory!!

Explanation:

For Which Class And From Which Book ??