| 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
 
 求问那个Y是怎么算的呢?
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