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

1. For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

A) 2L-1
B) 2L
C) 2L-1-1
D) (L-1)/1

2. A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:

A) 0.69/b1
B) 2*log(b1)
C) 2*b1
D) 2/log(b1)

3. What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

A) 0.27649
B) 0.24914
C) 0.10844
D) 0.24169

4. Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:

A) 50-74.99
B) 75 or more
C) 25-49.99
D) 0-24.99

5. Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

A) Average Squared Error
B) 1 - Misclassification Rate
C) Total Profit
D) Mean Square Error

Solutions: