Using the deployed Logistic Regression model constructed in Question 2, your manager predicted the churn risk of 10,000 current credit cardholders of the bank and found out that 800 have a high probability to churn (e.g., churn probability >0.8 ). You sorted the churn probabilities of these 10,000 customers in ascending order and separated them into ten (10) equal segments. The lift curve of the prediction results is shown below. - Calculate the Response and Gains value in Segments 8, 9 and 10. Show your calculation clearly. - To retain customers, your manager would like to push the promotion code to at least 600 cardholders with high churn risk. To do so, at least how many segments of customers should be contacted to achieve this goal