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

1. If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A) 80% or higher
B) less than 15%
C) between 50%-79.99%
D) between 15%-49.99%

2. For the Variable Selection node, which statement describes the R-squared variable selection criterion?
Select one:
Response:

A) It looks for a set of colinear inputs that correlate with the target.
B) It is similar to a decision tree algorithm in being able to detect nonlinear and non-additive relationships between inputs and the target.
C) It uses a squared correlation and then a stepwise regression to eliminate irrelevant inputs.
D) It uses a chi-squared Decision Tree with no Bonferoni adjustment to select the relevant inputs.

3. Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

A) 0.05
B) 1.2
C) 1
D) 0.8

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

5. 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.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A) 0.077935227
B) 0.0658174098
C) 0.9220647773
D) 0.9341825902

Solutions: