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

1. Refer to the exhibit:

When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:

A) Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
B) Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable
C) Sample Properties, Sample Statistics for all variables, and sample data for all variables
D) Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable

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

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

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

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

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

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

Solutions: