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Listening Quiz: Cân Bằng Giữa Độ Chính Xác Và Sự Công Bằng Của Mô Hình – Advanced Level
Th7 21, 2025
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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.
What is the main topic of David and Sarah’s conversation?
Choosing a new marketing strategy
Balancing model accuracy and fairness
Training employees to use software
How to redesign the company website
Explanation:
They discuss the model’s accuracy, fairness, bias, and ways to balance these concerns.
2.
What does David say about adjusting the model thresholds?
It will eliminate the need for fairness metrics
It will guarantee higher accuracy and fairness
It can reduce bias but lower overall accuracy
It is too expensive to try at all
Explanation:
David says adjusting the thresholds can reduce bias, but it may lower overall accuracy.
3.
What does Sarah suggest they use to measure fairness clearly?
A customer survey
Equal opportunity metrics
A different sales report
A new training manual
Explanation:
David says there are metrics like equal opportunity, and Sarah wants to test those metrics on their data.
4.
What can be inferred about David’s view of the issue?
He wants to stop using the model immediately
He thinks accuracy should matter more than fairness in every case
He does not think fairness can be measured
He believes the model must remain useful even if fairness improves
Explanation:
David agrees fairness matters, but he also says they must keep the model useful, showing he wants a balance.
5.
Why does Sarah say, ‘Let’s test those metrics on our data’?
She wants to ignore the fairness problem for now
She is asking David to choose different models for each group
She wants to begin evaluating fairness using the metrics David mentioned
She is telling David to report the results immediately
Explanation:
Sarah responds to David’s mention of fairness metrics by suggesting they test those metrics on their data.
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