LATEST BRAINDUMPS SASINSTITUTE A00-255 BOOK, NEW APP A00-255 SIMULATIONS

Latest Braindumps SASInstitute A00-255 Book, New APP A00-255 Simulations

Latest Braindumps SASInstitute A00-255 Book, New APP A00-255 Simulations

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SASInstitute A00-255 exam consists of 70 multiple-choice and short-answer questions that need to be completed within 2 hours and 15 minutes. A00-255 exam evaluates the individual's ability to use SAS Enterprise Miner to develop predictive models, including data preparation, variable selection, model building, and model assessment. A00-255 Exam also covers the interpretation and communication of results.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q45-Q50):

NEW QUESTION # 45
If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:

  • A. Decision Tree
  • B. Regression
  • C. Neural Network
  • D. Decision Tree (3-way)

Answer: B


NEW QUESTION # 46
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:

  • A. reduction of odds for TARGET=1 by 0.708
  • B. change of odds for TARGET=1 by a factor 0.3457
  • C. reduction of odds for TARGET=1 by 0.3457
  • D. change of odds for TARGET=1 by a factor 0.708

Answer: D


NEW QUESTION # 47
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:

  • A. Backward
  • B. Forward
  • C. None
  • D. Stepwise

Answer: C


NEW QUESTION # 48
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Which of the following variable(s) is (are) statistically significant at the 5% level in the selected model?
Response:

  • A. IMP_TLOpen24Pct
  • B. TLDel3060Cnt24
  • C. TLTimeFirst
  • D. all of the above

Answer: D


NEW QUESTION # 49
For the Variable Selection node, which statement describes the R-squared variable selection criterion?
Select one:
Response:

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

Answer: B


NEW QUESTION # 50
......

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