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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q46-Q51):
NEW QUESTION # 46
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
Answer: B
NEW QUESTION # 47
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:
- A. 0-99
- B. 150-199
- C. 200 or higher
- D. 100-149
Answer: D
NEW QUESTION # 48
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.
- B. Each unique value has the potential of being the optimal split point, except for the extreme observation.
- 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. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
Answer: A
NEW QUESTION # 49
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
- A. binary
- B. interval
- C. all of the above
- D. nominal with any number of categories
Answer: C
NEW QUESTION # 50
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. Neural Network
- D. Regression
Answer: B
NEW QUESTION # 51
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