Given the data sets shown in Figure $2,$ explain how the decision tree, na$$ve Bayes $($NB$),$ and k$-$nearest neighbor $($k$-$NN$)$ classifiers would perform on these data sets istingui Instance Label Class Class B Class A Class B Class Attribute X $($a$)$ Synthetic data set $1.($b$)$ Synthetic data set $2.$ Figure $1$: Data sets for Question $5$