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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q50-Q55):

NEW QUESTION # 50
1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:workshopPractice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

A. $11,142.45
B. $9,586.55
C. $8,711.65
D. $0.00

Answer: B

NEW QUESTION # 51
-> Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the Neural Network model to use Average Error for Model Selection Criterion.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:

A. 0
B. 1
C. 2
D. 3

Answer: C

NEW QUESTION # 52
How many unique indicator variables were created during imputation?
Response:

A. none
B. 21 or higher
C. 11-20
D. 1-10

Answer: C

NEW QUESTION # 53
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. less than or equal to 299
C. 300-999
D. 1,600 or higher

Answer: D

NEW QUESTION # 54
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

A. 100-149
B. 0-99
C. 200 or higher
D. 150-199

Answer: A

NEW QUESTION # 55
......

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