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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

Question 1

Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:

A. Forward
B. None
C. Stepwise
D. Backward

Question 2

Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.

How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:

A. 60%
B. 25%
C. 30%
D. 140%

Question 3

Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:

A. 66.6667
B. 80.3571
C. 15
D. 14.6216

Question 4

Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:

A. Each unique value has the potential of being the optimal split point, except for the extreme observation.
B. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
C. The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
D. Each unique value has the potential of being the optimal split point.

Question 5

Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A. smaller value of gamma
B. all of the above
C. higher value of AIC (Akaike,s information criterion)
D. smaller value of SBC (Schwarz,s Bayesian criterion)

Solutions: