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

1. If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A) less than 15%
B) 80% or higher
C) between 50%-79.99%
D) between 15%-49.99%

2. Perform these tasks in SAS Enterprise Miner:
* Continue to use the same diagram. Define and create the data set CREDIT_SCORE for scoring. The variables (their roles and measurement levels) in the CREDIT_SCORE data should be set as identical to those in the CREDIT data. The only exception is that the scoring data does not have a TARGET variable.
* Find the best model out of Decision Tree, Decision Tree (3-way), Regression, and Neural Network as defined by each of the four model's overall performance in the validation data measured by average squared error. Now, use this best model to score the CREDIT_SCORE data.
CREDIT SCORE:

The median of the predicted probabilities of TARGET=1 in the scoring data is in which of the following ranges?
Response:

A) less than 0.149999
B) 0.15-0.499999
C) 0.85 or more
D) 0.50-0.849999

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) 21 or more
C) 1-10
D) 11-15

4. What is the kurtosis value for the variable TLDel60Cnt24?
Response:

A) less than 10
B) between 10 and 13.99
C) between 14 and 16.99
D) 17 or higher

5. In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

A) all of the above
B) nominal with any number of categories
C) binary
D) interval

Solutions: