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

1. What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

A) To ensure a non-negative logworth value.
B) To ensure that the choice of split is not influenced by input measurement scale.
C) To give categorical inputs a greater chance to be used the split.
D) To reduce the number of surrogate splitting rules.

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

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

3. What is the average squared error in the training data?
Response:

A) 0.131583
B) 0.131208
C) 0.133665
D) 0.131709

4. 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:\workshop\Practice.
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.
The variable Branch has how many levels?
Response:

A) 8
B) 47
C) 12
D) 19

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

Solutions: