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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
1. 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*b1
C) 0.69/b1
D) 2/log(b1)
2. 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
3. What is the average squared error in the training data?
Response:
A) 0.133665
B) 0.131709
C) 0.131583
D) 0.131208
4. The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:
A) less than 1.00
B) 3.00 or higher
C) between 1.00 and 1.99
D) between 2.00 and 2.99
5. 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) Decision Tree (3-way)
B) Decision Tree
C) Regression
D) Neural Network
Solutions:
Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B |