Question 6 of 97
Refer to the exhibit:
Exam A00-240: Question 6 - Image 1
The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
    Correct Answer: D

Question 7 of 97
Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?
Exam A00-240: Question 7 - Image 1
    Correct Answer: A

Question 8 of 97
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
    Correct Answer: D

Question 9 of 97
Refer to the exhibit:
Exam A00-240: Question 9 - Image 1
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
    Correct Answer: B

Question 10 of 97
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?
Exam A00-240: Question 10 - Image 1
    Correct Answer: C