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SASInstitute A00-255 certification exam is designed for professionals who want to validate their knowledge and skills in predictive modeling using SAS Enterprise Miner 14. A00-255 exam is ideal for data analysts, statisticians, and data scientists who want to enhance their understanding of advanced data mining techniques and predictive modeling using SAS Enterprise Miner 14. By passing A00-255 Exam, candidates can demonstrate their proficiency in using SAS Enterprise Miner 14 to solve complex business problems and create predictive models.
NEW QUESTION # 50
Perform these tasks in SAS Enterprise Miner:
- 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). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- 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. Do not change any other property for the Neural Network node. Run the process flow.
Which of the following variables was used in the decision tree model?
Response:
Answer: C
NEW QUESTION # 51
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:
Answer: C
NEW QUESTION # 52
Refer to the exhibit:
What would be the decision threshold (probability cutoff) generated for this decision matrix. 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 # 53
What is the average squared error in the training data?
Response:
Answer: D
NEW QUESTION # 54
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:
Answer: C
NEW QUESTION # 55
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