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Google Professional Machine Learning Engineer Exam - Topic 4 Question 24 Discussion

You work for a social media company. You need to detect whether posted images contain cars. Each training example is a member of exactly one class. You have trained an object detection neural network and deployed the model version to Al Platform Prediction for evaluation. Before deployment, you created an evaluation job and attached it to the Al Platform Prediction model version. You notice that the precision is lower than your business requirements allow. How should you adjust the model's final layer softmax threshold to increase precision?
D) Decrease the number of false negatives
A) Increase the recall
B) Decrease the recall.
C) Increase the number of false positives

Google Professional Machine Learning Engineer Exam - Topic 4 Question 24 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 24
Topic #: 4
[All Professional Machine Learning Engineer Questions]

You work for a social media company. You need to detect whether posted images contain cars. Each training example is a member of exactly one class. You have trained an object detection neural network and deployed the model version to Al Platform Prediction for evaluation. Before deployment, you created an evaluation job and attached it to the Al Platform Prediction model version. You notice that the precision is lower than your business requirements allow. How should you adjust the model's final layer softmax threshold to increase precision?

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Suggested Answer: D

by Nickolas at May 06, 2022, 03:52 AM

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Cherry
10 months ago
Just adjusting the threshold won't fix everything, right?
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Kaycee
10 months ago
I thought increasing false positives was a good strategy?
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Celia
11 months ago
Wait, isn't increasing recall the opposite of what we want?
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Audry
11 months ago
Totally agree, D is the way to go!
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Darci
11 months ago
You need to decrease false negatives to boost precision.
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Mari
11 months ago
I vaguely remember that decreasing false positives is usually linked to increasing precision, but I'm not confident about how that relates to the softmax threshold adjustment.
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Freeman
11 months ago
I feel like increasing recall could be a trap here. I need to double-check if that actually helps with precision in this context.
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Graciela
11 months ago
I think we practiced a similar question where we had to balance precision and recall. If I recall correctly, decreasing false negatives might help improve precision.
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Gerry
11 months ago
I remember we discussed how adjusting the softmax threshold can impact precision and recall, but I'm not sure which direction to go for increasing precision.
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Meghan
11 months ago
Based on my understanding of the different AEM as a Cloud Service roles, I believe the DevOps role is the one responsible for managing and running pipelines. I'll select option B.
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Devora
11 months ago
I'm a little confused by this question. The options don't seem to be directly related to improving the use of tools and techniques. I'll have to think about this one a bit more.
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Hyun
11 months ago
Hmm, I'm a bit unsure about this one. I'll need to carefully read through each option and think about how they differ in terms of defining a test case.
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Pearline
11 months ago
Hmm, the question mentions the load balancing method needs to account for the pool member's response over time. That sounds like it might rule out the Fastest option.
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Rozella
11 months ago
Wait, I'm confused. Is it about the organization being ready to accept the solution, or the performance evaluation being positive? I need to re-read this carefully.
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