A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event. Given the following SAS program: proc logistic data = LOANS des; model Purchase = Inc Edu; score data = LOANS_V out = LOANS_VS priorevent = (insert x here); run; data LOANS_VS; set LOANS_VS; Solicit = P_1 > (insert Y here); run; What X and Y values should be added to the program to correctly score the data? A. X=40, Y=10 B. X=.05, Y=10 C. X=.05, Y=.40 D. X=.10.Y=05 请问一下Y是怎么得到的呢?谢谢 |