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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 3 discussion

A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?

  • A. Decision trees
  • B. Linear regression
  • C. Logistic regression
  • D. Neural networks
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Suggested Answer: A 🗳️

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Chosen Answer:
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ufjsd
1 week, 5 days ago
Selected Answer: A
Decision trees is correct. https://www.reddit.com/user/AIF-C01/
upvoted 1 times
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Clio_Siyi
1 month, 1 week ago
Selected Answer: A
A is correct. I firstly thought Logistic regression should be right, but it's for binary classification, and not suitable for the case in this question because there are 20 categories.
upvoted 1 times
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wangyang_0622
1 month, 1 week ago
Selected Answer: A
i believe A is the right one but why logistic regression is not correct
upvoted 2 times
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jove
2 months ago
Selected Answer: A
Decision Trees can handle multi-class classification problems, making them suitable for categorizing genes into 20 distinct classes
upvoted 2 times
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awsfriend
2 months ago
Decision trees is correct.
upvoted 3 times
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C (25%)
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