Hi all,
Can someone help and explain the following question?
This question will ask you to provide missing code segments. 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.
proc logistic data = LOANS descending;
model Purch = 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?
