Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Amazon Exam AIF-C01 Topic 5 Question 16 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 16
Topic #: 5
[All AIF-C01 Questions]

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?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Stevie at Dec 09, 2024, 05:13 AM

Limited Time Offer

25%

Off

Get Premium AIF-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Abel
11 days ago
Linear regression might not be the best fit for this, as it is more suited for predicting continuous values.
upvoted 0 times
...
Roxanne
15 days ago
I see both points, but I think Logistic regression could also be a good choice.
upvoted 0 times
...
Louis
17 days ago
I disagree, I believe Neural networks would be more suitable for this task.
upvoted 0 times
...
Mariann
26 days ago
I think Decision trees would be the best option for this.
upvoted 0 times
...
Man
27 days ago
Linear regression? Seriously? This is like trying to fit a square peg into a round hole. Neural networks are the only choice here.
upvoted 0 times
...
Miesha
1 months ago
Logistic regression? Nah, that's for simple binary classification. This problem calls for the big guns - neural networks!
upvoted 0 times
Emile
6 days ago
Logistic regression is not suitable for this problem, neural networks offer more flexibility.
upvoted 0 times
...
Laquanda
9 days ago
Linear regression is too simplistic for this kind of gene classification.
upvoted 0 times
...
Burma
16 days ago
I agree, decision trees might not be able to capture the intricate relationships in the data.
upvoted 0 times
...
Sheridan
21 days ago
Neural networks are definitely the way to go for this complex task.
upvoted 0 times
...
...
Audria
1 months ago
Decision trees? Sounds like a lumberjack solution to a genetic problem. Neural networks are the real deal.
upvoted 0 times
...
Launa
1 months ago
Neural networks are the way to go! They can handle the complexity of gene characteristics like a boss.
upvoted 0 times
Antione
22 days ago
Neural networks are definitely the best choice for classifying human genes.
upvoted 0 times
...
...

Save Cancel