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

1. Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 0.18
B) 0.82
C) 0.27
D) 0.21

2. Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:

A) misclassification
B) average squared error
C) KS statistic
D) Gini coefficient

3. If the bank wanted to select the best model based on which model achieves the highest lift for the third decile in the validation data, then which of the following is the best model?
Response:

A) Neural Network
B) Regression
C) Decision Tree
D) Decision Tree (3-way)

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

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

5. Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:

A) Each unique value has the potential of being the optimal split point, except for the extreme observation.
B) The variable goes through a non-linear transformation, and the transformed variable is used for testing.
C) The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
D) Each unique value has the potential of being the optimal split point.

Solutions: