GO WITH SASINSTITUTE A00-255 EXAM QUESTIONS [2025] FOR INSTANT SUCCESS

Go With SASInstitute A00-255 Exam Questions [2025] For Instant Success

Go With SASInstitute A00-255 Exam Questions [2025] For Instant Success

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Tags: A00-255 Pass Test Guide, A00-255 Valid Exam Duration, Test A00-255 Sample Online, A00-255 Guaranteed Success, A00-255 Test Testking

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SASInstitute A00-255 Valid Exam Duration | Test A00-255 Sample Online

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q39-Q44):

NEW QUESTION # 39
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:

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C


NEW QUESTION # 40
How many unique indicator variables were created during imputation?
Response:

  • A. none
  • B. 1-10
  • C. 21 or higher
  • D. 11-20

Answer: D


NEW QUESTION # 41
You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:

  • A. R-square, AIC, K-S statistic
  • B. Misclassification rate, ROC index, ASE
  • C. ROC index, ASE, misclassification rate
  • D. ASE, Lift for the top 10%, ROC index

Answer: C


NEW QUESTION # 42
-> 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).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> 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.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A


NEW QUESTION # 43
Which method of input selection for regression analysis evaluates the statistical significance of all included inputs after each input is added?
Select one:
Response:

  • A. Forward
  • B. Backward
  • C. Stepwise
  • D. Simple

Answer: C


NEW QUESTION # 44
......

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