Below you can see a decision tree that was learned on some data.

There are only two independent features$/$attributes in the data $($i$.$e$.$ X and Y$),$

and the class attribute has three values that are represented using the

following symbols $+,$o$,$ and $$#$.$ In your answer book, present a $2-$

dimensional visualisation of the decision boundaries represented by this tree.

You are expected to present two axes X and Y$,$ and to draw the decision

boundaries showing appropriate thresholds. There is no need to draw any

data points, but you should associate a value of the class attribute for every

region on the plot. The decision boundaries and the class attribute's value for

every region are sufficient.