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Listening Quiz: Nêu Lên Mối Quan Ngại Về Sự Công Bằng Trong Rà Soát Mô Hình – Easy Level
Th4 29, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
Which group does Michael say the model works less well for?
New users
Older users
Younger users
Mobile users
Explanation:
Michael says, “The model works less well for older users.”
2.
What is the main topic of the conversation?
Discussing fairness issues in model results
Comparing different marketing strategies
Planning a software launch
Training employees to use new equipment
Explanation:
The speakers talk about lower accuracy for older users, possible bias, and checking the data again to improve fairness.
3.
Why does Mia say, “We should fix it before release”?
She is concerned the model may be unfair
She thinks the model is already perfect
She wants to delay the project for a long time
She wants to remove all the test data
Explanation:
Mia says the problem sounds like a fairness issue and then suggests fixing it before release, showing concern about unfair results.
4.
What can be inferred about Michael’s next step?
He will only check the older users’ feedback
He will run additional tests to examine fairness
He will stop working on the model entirely
He will release the model immediately
Explanation:
Michael says, “I will run more tests on fairness,” which shows he plans to examine the issue further.
5.
What does Michael say the problem may cause?
A delay in hiring
Higher costs in production
Bias in decisions
More user complaints about design
Explanation:
Michael says the issue “may cause bias in decisions.”
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