Now, for new input (2, 2.5), please compute its regression result for the 3-nn regression, according to the Manhattan distance.

4. Assume that, as shown in Figure 6, we have a set of training instances with two features X and X2: {(0.5,3), (0.5, 0.5),(1,0.5), (1,2), (1.5, 0.5), (2, 4), (2.5,3), (3, 0.5), (3,3.5), (3.5, 4)} such that the instance (0.5,3), (1, 2), (2, 4), (2.5,3), (3,3.5), (3.5, 4) are labeled with value 1, the other points are labelled with value 2 4.5 3.5 3 2.5 X2 2 1.5 1 0.5 0 0 0.5 1 1.5 2 2.5 3.5 X Figure 6: A set of two-dimensional input samples