auestion $4$

$[10$ Marken$)$

a$)$ Consider the following dataset related to approving loans to customers:

$\backslash$table$[[$ID$,$Age,Has$-$Job,Has$-$flowse,Credit$-$llistory,Cless$],[1,$Yong,$N_0,$No$,$Fair,No$],[2,$Yong,No$,$Yes,Cood,Yes$],[3,$Yong,Yes,No$,$Good,No$],[4,$Middle,Yes,Yes,Good,Yes$],[5,$Middle,No$,$Yes,Excellent,No$],[6,$Middle,No$,$Yes,Excellent,Nor$],[7,$Old,No$,$Yes,Excellent,Yes$],[8,$Old,No$,$Yes,Good,Yes$],[9,$Old,Yes,No$,$Good,Yes$]]$

Apply an ID$3$ algorithm to determine which attribute from the above dataset is the best to split the data at the root node of a decision tree.

$[5$ Marks$]$