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SASInstitute A00-255 Exam Syllabus Topics:

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

1. Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

A) All of the above
B) The model has too few input variables.
C) The misclassification error for the test data is 0.154255.
D) The optimization for the model has not been completed.

2. A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:

A) 2*b1
B) 2/log(b1)
C) 0.69/b1
D) 2*log(b1)

3. Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response:

A) 0.42667
B) 0.32959
C) 0.42541
D) 0.60485

4. 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.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:

A) 14.6216
B) 15
C) 66.6667
D) 80.3571

5. The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

A) between 2.00 and 2.99
B) between 1.00 and 1.99
C) less than 1.00
D) 3.00 or higher

Solutions: