The Best SASInstitute A00-255 Exam Questions

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q64-Q69):

NEW QUESTION # 64
Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:

A. less than 83.99%
B. 84-89.99%
C. 90-93.99%-
D. 94% or higher

Answer: A

NEW QUESTION # 65
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. average squared error
B. Gini coefficient
C. misclassification
D. KS statistic

Answer: B

NEW QUESTION # 66
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
B. Regression
C. Neural Network
D. Decision Tree (3-way)

Answer: A

NEW QUESTION # 67
Which model was picked as the best model by SAS Enterprise Miner?
Response:

A. Decision Tree
B. None of the above
C. Regression
D. Decision Tree (3-way)

Answer: A

NEW QUESTION # 68
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A. between 50%-79.99%
B. between 15%-49.99%
C. 80% or higher
D. less than 15%

Answer: D

NEW QUESTION # 69
......

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