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Question 1:

Refer to the ROC curve:

As you move along the curve, what changes?

A. The priors in the population

B. The true negative rate in the population

C. The proportion of events in the training data

D. The probability cutoff for scoring

Correct Answer: D

Question 2:

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?

A. Scoredata=valid1 out=roc;

B. Scoredata=valid1 outroc=roc;

C. mode1resp(event= \’1\’) = gender region/outroc=roc;

D. mode1resp(event”1″) = gender region/ out=roc;

Correct Answer: B

Question 3:

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

A. Simple random sampling without replacement

B. Simple random sampling with replacement

C. Stratified random sampling without replacement

D. Sequential random sampling with replacement

Correct Answer: AC

Question 4:

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: C

Question 5:

Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

A. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

B. Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

C. Selecting the top 10% of the population scored by the model should result in 3.14 timesgreater accuracy than a random draw of 10%.

D. Selecting the observations with a response probability of atleast 10% should result in 3.14times greater accuracy than a random draw of 10%.

Correct Answer: A

A00-240 VCE DumpsA00-240 Practice TestA00-240 Study Guide

Question 6:

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, “Classify data as an event if probability is greater than 0.5.” Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).

The following SAS program was used.

What does this program calculate?

A. Depth

B. Sensitivity

C. Specificity

D. Positive predictive value

Correct Answer: B

Question 7:

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?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: A

Question 8:

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A. Candidate 1, because the area outside the curve is greater

B. Candidate 2, because the area under the curve is greater

C. Candidate 1, because it is closer to the diagonal reference curve

D. Candidate 2, because it shows less over fit than Candidate 1

Correct Answer: B

Question 9:

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

Correct Answer: B

Question 10:

Refer to the confusion matrix:

Calculate the sensitivity. (0 – negative outcome, 1 – positive outcome)

Click the calculator button to display a calculator if needed.

A. 25/48

B. 58/102

C. 25/B9

D. 58/81

Correct Answer: A

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