ML

6. Consider the training data given below, x is the attribute and y is the class variable. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 y | | B B B | A | B | B B B a. What would be the classification of a test sample with x = 4.2 according to 1-NN (Nearest Neighbor)? b. What would be the classification of a test sample with x = 4.2 according to 3-NN (Nearest Neighbor)? C. What is the "leave-one-out cross validation error of 1-NN. If you need to choose between two or more examples of identical distance, make your choice so that the number of errors is maximized. [6 Points)