Question 4 (K-Nearest Neighbour) Consider that the normalised training set below is part of a K-Nearest Neighbour "model": @relation 'dummy-data-set' @attribute inputl numeric @attribute input2...

Extracted text: Question 4 (K-Nearest Neighbour) Consider that the normalised training set below is part of a K-Nearest Neighbour "model": @relation 'dummy-data-set' @attribute inputl numeric @attribute input2 {a,b,c} @attribute output numeric @data 0.5, a, 10 0, с, 15 1, b, 20 Assume that the input attributes are the first and the second attributes of the training set. What output value would a 3-nearest neighbour (K-3) algorithm predict for an instance with normalised input attributes (0.6, a)? Explain the results.