SASInstitute SAS Institute SAS A00-255

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

1. What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

A) 40 or more
B) 1-19
C) 20-39
D) 0

2. 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) 25-49.99
C) 50-74.99
D) 0-24.99

3. Perform these tasks in SAS Enterprise Miner:
- 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). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- 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. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
Response:

A) 16-20
B) 11-15
C) 1-10
D) 21 or more

4. Which of the following is not true about results produced by the Regression node?
Response:

A) Variable Summary information identifies the roles of variables used by the Regression node.
B) Model Information provides you with information that includes the number of target categories and the number of model parameters.
C) Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.
D) Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.

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

Solutions: