Q6 [12 pt] Consider the two datasets shown in plots (A) and (B) below: In each of these datasets there are two classes. "+' and "o'. . Each class has the same number of points. . Each data point has two real valued features, the X and Y coordinates. 3 + + + X X X 2 3 + 7 -. . . . . 7 . + J . + O [)- - . . . . .... + + . . . -1 + . 7 . - . . . . - -2 -1 - - - X O + O + -2 6 -2 0 N On -. . 2 A B Now for each of these two datasets, draw the decision boundary that a Gaussian Naive Bayes classifier will learn (Equation 5.24 of Alpaydin). Explain your answer. There is no need of using exact numbers.\f