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Exam AI-102 topic 2 question 31 discussion

Actual exam question from Microsoft's AI-102
Question #: 31
Topic #: 2
[All AI-102 Questions]

HOTSPOT
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You are building a model to detect objects in images.

The performance of the model based on training data is shown in the following exhibit.



Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

NOTE: Each correct selection is worth one point.

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Suggested Answer:
by 973b658 at June 14, 2023, 8:54 a.m.

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Chosen Answer:
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zellck
Highly Voted 1 year, 5 months ago
1. 0 2. 25 https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/custom-text-classification/concepts/evaluation-metrics - Precision: Measures how precise/accurate your model is. It's the ratio between the correctly identified positives (true positives) and all identified positives. The precision metric reveals how many of the predicted classes are correctly labeled. Precision = #True_Positive / (#True_Positive + #False_Positive) - Recall: Measures the model's ability to predict actual positive classes. It's the ratio between the predicted true positives and what was actually tagged. The recall metric reveals how many of the predicted classes are correct. Recall = #True_Positive / (#True_Positive + #False_Negatives)
upvoted 22 times
rdemontis
1 year, 1 month ago
thanks for explanation
upvoted 2 times
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Pixelmate
Highly Voted 1 year, 5 months ago
Asked in 28/06/2023 exam
upvoted 6 times
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4371883
Most Recent 1 month, 4 weeks ago
got this in Oct 2024 exam
upvoted 2 times
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mrg998
2 months, 3 weeks ago
0 & 25
upvoted 1 times
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NagaoShingo
6 months, 1 week ago
1. 0 2. 25
upvoted 1 times
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takaimomoGcup
6 months, 3 weeks ago
1. 0 2. 25
upvoted 1 times
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Tin_Tin
1 year, 6 months ago
The answer is correct. See https://learn.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/get-started-build-detector
upvoted 1 times
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973b658
1 year, 6 months ago
It is true. #1:Precision = 100% #2:recall = 25%
upvoted 1 times
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