Question 4&5 please, I do not know If I did my calculation correctly. Thank you

[83] \# Examine the evaluation results on testing data: accuracy, precision, recall, and f1-score (1 point) print(classification_report(target_test, prediction_on_test)) Q4. Assume the following costs/benefits: - Cost of marketing to a customer: $30 per customer receiving marketing. - Average Bank income for a purchase: $200 per customer that purchases term deposit. - Opportunity cost of person not marketed but who would have been a purchaser: $40 Based on the above costs / benefits, what is the total net benefit / cost of the decision tree model on testing data? (3 points) A: Cost: $39,270 Profit: $2,358,800 Opportunity cost: $4000 Profit-Cost-Opportunity cost: $2,315,530 Q5. Based on the calculated net benefit/cost, do you think this decision tree model should be used for marketing campaign? why? ( 2 point