SASInstitute A00-255

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

1. -> 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) 11
B) 10
C) 16
D) 13

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

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

3. Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

A) neither increase nor decrease the performance of logistic regression
B) increase the performance of logistic regression
C) create convergence problems in maximum likelihood estimation
D) decrease the performance of logistic regression

4. Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:

A) 90-93.99%-
B) 94% or higher
C) less than 83.99%
D) 84-89.99%

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

Solutions: