COST EFFECTIVE A00-255 DUMPS - A00-255 RELIABLE TEST DURATION

Cost Effective A00-255 Dumps - A00-255 Reliable Test Duration

Cost Effective A00-255 Dumps - A00-255 Reliable Test Duration

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Tags: Cost Effective A00-255 Dumps, A00-255 Reliable Test Duration, A00-255 Valid Dumps, Exam A00-255 Registration, A00-255 Practice Exam Pdf

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To prepare for the exam, candidates are encouraged to take the SAS Predictive Modeling Using SAS Enterprise Miner 14 course, which provides a comprehensive overview of the concepts and techniques covered in the exam. Additionally, candidates can use the SAS Enterprise Miner software to gain hands-on experience with the tools and techniques used in predictive modeling.

The main objectives of the SAS Institute A00-255: SAS Predictive Modeling Using SAS Enterprise Miner 14 exam include understanding the key principles of predictive modelling, learning about the SAS Enterprise Miner interface, and mastering concepts such as data manipulation, variable selection, data exploration, and data partitioning. An individual appearing for A00-255 Exam should have a good understanding of statistical techniques and data analytics, as these skills are crucial to excel in the field of predictive modelling.

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A00-255 Reliable Test Duration | A00-255 Valid Dumps

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The SAS Institute, the creator of SAS Enterprise Miner, is a leading provider of analytics software and solutions. Their certification program is highly respected in the industry, as it ensures that certified professionals have the skills and knowledge needed to use SAS software effectively. The A00-255 Exam is a rigorous test of the candidate's ability to use SAS Enterprise Miner to solve real-world problems, and passing it demonstrates a high level of expertise in predictive modeling. Certification can help professionals advance their careers and stand out in the competitive job market.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q70-Q75):

NEW QUESTION # 70
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. 90-93.99%-
  • C. 84-89.99%
  • D. 94% or higher

Answer: A


NEW QUESTION # 71
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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:

  • A. 1,000-1,599
  • B. 300-999
  • C. less than or equal to 299
  • D. 1,600 or higher

Answer: D


NEW QUESTION # 72
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.
Suppose that the data has been oversampled and the probability that TARGET=1 is 0.10 in the population. Incorporate the above scenario and run the Decision Tree node again.
What is the misclassification rate in the validation data set?
Response:

  • A. 0.10
  • B. 0.157016
  • C. 0.154788
  • D. 0.162252

Answer: B


NEW QUESTION # 73
You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

  • A. 0.14
  • B. 0.20
  • C. 0.86
  • D. 0.16

Answer: A


NEW QUESTION # 74
What percentage of observations in the test data has TARGET=1?
Response:

  • A. 16.8874
  • B. 16.6627
  • C. 16.5924
  • D. 83.3333

Answer: A


NEW QUESTION # 75
......

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