Consider the training data set collected by the ABC bank as shown in the following Table. The last column is the target value (label). We would like to build a decision tree to classify new customers as High or Low credit customers. Consider the following two candidate splits at the root

1. using the Savings attribute only.

2. using the Assets attribute only.

(a) Draw a decision tree for each of the above candidate splits

Customer	Savings	Assets	Credit
1	Medium	High	High
2	Low	Low	Low
3	High	Medium	Low
4	Medium	Medium	High
5	Low	Medium	High
6	High	High	High
7	Low	Low	Low
8	Medium	Medium	High