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Amazon Exam AIF-C01 Topic 4 Question 12 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 12
Topic #: 4
[All 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?

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Suggested Answer: B

by Sherly at Oct 24, 2024, 06:32 AM

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Ryann
2 months ago
D) Learning rate? Haha, that's clearly not the right metric for evaluating image classification. Might as well go with a random number generator for that one.
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Gerald
2 months ago
C) Root mean squared error (RMSE)
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Corinne
2 months ago
B) Accuracy
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Douglass
2 months ago
A) R-squared score
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Jennifer
3 months ago
I'm torn between B) Accuracy and C) RMSE. Guess I'll have to do some more research to decide.
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Tamala
1 months ago
RMSE is more suitable for regression tasks, so I would stick with Accuracy for this case.
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Olive
1 months ago
Accuracy is definitely the way to go for evaluating the performance of your image classification model.
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Mabel
2 months ago
I agree, Accuracy is a good choice for evaluating image classification models.
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Latosha
2 months ago
I think you should go with B) Accuracy. It's a common metric for classification models.
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Nilsa
3 months ago
I'd say C) Root mean squared error (RMSE) is the way to go. It gives a more nuanced view of the model's performance.
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Buck
3 months ago
Definitely going with B) Accuracy. It's the most straightforward way to measure how many images the model correctly classified.
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Nathan
2 months ago
User 4: Accuracy it is then, let's see how well the model performed.
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Alita
2 months ago
User 3: I agree, it's the most straightforward metric to use.
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In
2 months ago
User 2: Yeah, accuracy is the best way to measure performance.
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Micaela
2 months ago
User 1: I think we should go with B) Accuracy.
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Destiny
3 months ago
I agree with Dulce. Accuracy would be the best metric to measure how many images the model classified correctly.
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Dulce
3 months ago
I think the company should use Accuracy as the evaluation metric.
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