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

1. Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:

A) All levels are weighted and the weights are used for testing.
B) The average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
C) The levels that have target rate of 0 or 100% are re-binned first, then weighted and the weights are used for testing.
D) A clustering mechanism eliminates observations in outlier clusters as potential split points as a first step. Then, for the remaining observations, the average target value is calculated for each level, and then passed on for testing if it is the optimal split point.

2. Which of the following solves problems for you when you impute missing values?
Response:

A) When you impute a synthetic value, it replaces missing values with 1 or 0.
B) When you impute a synthetic value, predictive information is retained.
C) When you impute a synthetic value, it eliminates the incomplete case problem.
D) When you impute a synthetic value, each missing value becomes an input to the model.

3. 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*log(b1)
B) 2/log(b1)
C) 0.69/b1
D) 2*b1

4. Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

A) 0.8
B) 0.05
C) 1
D) 1.2

5. What is the average squared error in the training data?
Response:

A) 0.131709
B) 0.131208
C) 0.133665
D) 0.131583

Solutions: