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. Now for each of these two datasets, draw the decision boundary that a Gaussian Naive Bayes classifier

will learn $($Equation $5\mathrm{.}24$ of Alpaydin$).$ Explain your answer. There is no need of using exact numbers.