Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 4 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01

Question #: 4
Topic #: 1

[All AWS Certified AI Practitioner AIF-C01 Questions]

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

A. R-squared score
B. Accuracy
C. Root mean squared error (RMSE)
D. Learning rate

Show Suggested Answer

Suggested Answer: B 🗳️

by galliaj at Nov. 1, 2024, 7:07 p.m.

Disclaimers:

- ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
- Trademarks, certification & product names are used for reference only and belong to Amazon.

Comments

Submit Cancel

galliaj

Highly Voted 2 months, 1 week ago

Accuracy is the most straightforward metric, measuring the proportion of correctly predicted instances out of the total instances. It is suitable when the classes are balanced (but can be misleading for imbalanced datasets).

upvoted 5 times

...

Moon

Most Recent 1 week, 3 days ago

Selected Answer: B

B. Accuracy: This metric measures the proportion of correctly classified instances out of the total number of instances. It directly addresses the question of "how many images the model classified correctly."

upvoted 1 times

...

modatruhio

1 month, 4 weeks ago

https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-metrics-validation.html

upvoted 3 times

...

jove

2 months ago

Selected Answer: B

Accuracy for sure