A rule$-$based classifier is built through indirect method from a decision tree. The

decision tree turns out to be overfit on training data. What will be the impact on

rule$-$based classifier?b$.$ The following training dataset provides income $($can be high$-$H$,$ medium$-$M$,$ or low$-$L$)$

and education level $($can be high$-$H or low$-$L$)$ of customers who bought a smart

watch. We intend to construct decision tree to predict who buys smart watch.

Identify the attribute for root node using the Gain Ratio. $(5$ marks$)$b$.$ The following training dataset provides income $($can be high$-$H$,$ medium$-$M$,$ or low$-$L$)$

and education level $($can be high$-$H or low$-$L$)$ of customers who bought a smart

watch. We intend to construct decision tree to predict who buys smart watch.

Identify the attribute for root node using the Gain Ratio. $(5$ marks$)$