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SASInstitute A00-255 exam covers a range of topics, including data exploration, model comparison and selection, variable selection, and model deployment. Candidates are expected to have a good understanding of statistical concepts such as regression analysis, hypothesis testing, and probability theory. A00-255 exam also assesses the candidate's ability to use SAS Enterprise Miner to perform data manipulation tasks, create predictive models, and evaluate their effectiveness. Passing A00-255 Exam demonstrates that the candidate has a solid understanding of predictive modeling techniques and is capable of using SAS Enterprise Miner to solve real-world problems.
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NEW QUESTION # 30
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:
Answer: A
NEW QUESTION # 31
The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:
Answer: A
NEW QUESTION # 32
Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)
* Run the Decision Tree node.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:
Answer: A
NEW QUESTION # 33
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:
Answer: C
NEW QUESTION # 34
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: A
NEW QUESTION # 35
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