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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q14-Q19):

NEW QUESTION # 14
The importance of an input variable in predicting a target in an MLP-based neural network can be figured out by which of the following?
Response:

• A. none of the above
• B. the highest absolute value of the parameter estimate between the input and any of the hidden neurons
• C. the average of the absolute values of parameter estimates between the input and all of the hidden neurons
• D. the highest absolute value of the parameter estimate between the input and any of the hidden neurons multiplied by the absolute value of the parameter estimate of the hidden neuron

Answer: A

NEW QUESTION # 15
For the Variable Selection node, which statement describes the R-squared variable selection criterion?
Select one:
Response:

• A. It looks for a set of colinear inputs that correlate with the target.
• B. It uses a squared correlation and then a stepwise regression to eliminate irrelevant inputs.
• C. It uses a chi-squared Decision Tree with no Bonferoni adjustment to select the relevant inputs.
• D. It is similar to a decision tree algorithm in being able to detect nonlinear and non-additive relationships between inputs and the target.

Answer: B

NEW QUESTION # 16
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:

• A. Sample Method: Stratify and Criterion: Proportional
• B. Sample Method: Random and Criterion: Equal
• C. Sample Method: Random and Criterion: Proportional
• D. Sample Method: Stratify and Criterion: Equal

Answer: D

NEW QUESTION # 17
What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

• A. 0.24169
• B. 0.27649
• C. 0.24914
• D. 0.10844

Answer: B

NEW QUESTION # 18
Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

• A. Average Squared Error
• B. Mean Square Error
• C. Total Profit
• D. 1 - Misclassification Rate

Answer: D

NEW QUESTION # 19
......

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