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SAS Statistical Business Analysis SAS9: Regression and Model ( A00-240 )
Exam : A00-240
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A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?
A. Sensitivity and PV+
B. Specificity and PVC.
PV+ and PVD.
Sensitivity and Specificity
 


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Previous Question         Question   15  /  65        Next 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.
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
 
 


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An analyst has a sufficient volume of data to perform a 3-way partition of the data into training,
validation, and test sets to perform honest assessment during the model building process.
What is the purpose of the test data set?
A. To provide a unbiased measure of assessment for the final model.
B. To compare models and select and fine-tune the final model.
C. To reduce total sample size to make computations more efficient.
D. To build the predictive models.
 


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