RELIABLE A00-255 BRAINDUMPS PDF - A00-255 CERTIFICATION TEST QUESTIONS

Reliable A00-255 Braindumps Pdf - A00-255 Certification Test Questions

Reliable A00-255 Braindumps Pdf - A00-255 Certification Test Questions

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Tags: Reliable A00-255 Braindumps Pdf, A00-255 Certification Test Questions, Exam A00-255 Reviews, A00-255 Exam Topics, A00-255 Exam Preview

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A00-255 Certification Test Questions, Exam A00-255 Reviews

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SASInstitute A00-255 Certification Exam is ideal for professionals who want to enhance their career in the field of data science, machine learning, and predictive modeling. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification is suitable for data analysts, data scientists, statisticians, and business analysts who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q49-Q54):

NEW QUESTION # 49
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

  • A. three or more hidden layers
  • B. no hidden layer, direct connection between inputs and output is preferred
  • C. two hidden layers
  • D. one hidden layer

Answer: C


NEW QUESTION # 50
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:

  • A. Mean Square Error
  • B. 1 - Misclassification Rate
  • C. Total Profit
  • D. Average Squared Error

Answer: B


NEW QUESTION # 51
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.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

  • A. 0.077935227
  • B. 0.0658174098
  • C. 0.9220647773
  • D. 0.9341825902

Answer: C


NEW QUESTION # 52
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. 94% or higher
  • B. 90-93.99%-
  • C. less than 83.99%
  • D. 84-89.99%

Answer: C


NEW QUESTION # 53
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

  • A. binary
  • B. nominal with any number of categories
  • C. interval
  • D. all of the above

Answer: D


NEW QUESTION # 54
......

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