Occupation	Gender	Age	Salary
Service	Female	45	$48,000
	Male	25	$25,000
	Male	33	$35,000
Management	Male	25	$45,000
	Female	35	$65,000
	Male	26	$45,000
	Female	45	$70,000
Sales	Female	40	$50,000
	Male	30	$40,000
Staff	Female	50	$40,000
	Male	25	$25,000

Consider the data in above Table. The target variable is salary. Start by discretizing salary as follows:

Less than $35,000 Level 1

$35,000 to less than $45,000 Level 2

$45,000 to less than $55,000 Level 3

Above $55,000 Level 4

5. Construct a classification and regression tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. 6. Construct a C4.5 decision tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. 7. Compare the two decision trees and discuss the benefits and drawbacks of each. 8. Generate the full set of decision rules for the CART decision tree. 9. Generate the full set of decision rules for the C4.5 decision tree. 10. Compare the two sets of decision rules and discuss the benefits and drawbacks of each.