What X and Y values should be added to the program to correctly score the data?
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.
Given the following SAS program:
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
Answer: B
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