Chapter 6, page 127, problems 5-10. 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 Female 40 $50,000 Male 30 $40,000 Female 50 $40,000 Male 25 $25,000 Sales Staff 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 ot decision rules and discuss the benefits and drawbacks of each Chapter 6, page 127, problems 5-10. 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 Female 40 $50,000 Male 30 $40,000 Female 50 $40,000 Male 25 $25,000 Sales Staff 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 ot decision rules and discuss the benefits and drawbacks of each