QUESTION: 5

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

Option A
Option B
Option C
Option D

Answer(s): C

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QUESTION: 6

Refer to the lift chart:

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

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%.
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%.
Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.
Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.

Answer(s): A

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QUESTION: 7

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

The predicted lift for the best 50% of validation data cases
The predicted lift if the entire population is scored as event cases
The predicted lift if none of the population are scored as event cases
The predicted lift if 50% of the population are randomly scored as event cases

Answer(s): B

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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?

Depth
Sensitivity
Specificity
Positive predictive value

Answer(s): B

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