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

1. Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

A) Unary
B) Nominal
C) Ordinal
D) Interval

2. 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) 80.3571
B) 15
C) 66.6667
D) 14.6216

3. Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

A) The optimization for the model has not been completed.
B) The model has too few input variables.
C) All of the above
D) The misclassification error for the test data is 0.154255.

4. 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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:

A) 1,000-1,599
B) 300-999
C) less than or equal to 299
D) 1,600 or higher

5. If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

A) none of the above
B) Optimal
C) Maximum Normal
D) Maximum Correlation

Solutions: