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Listening Quiz: Giải Thích Độ Chính Xác Của Mô Hình Dự Đoán – Easy Level
Th2 16, 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 Linda and Daniel’s conversation?
The accuracy and limitations of a predictive model
A plan to increase company profits immediately
How to train employees in sales techniques
The best way to collect customer feedback
Explanation:
The conversation focuses on how accurate the model is, what its accuracy means, its mistakes, and how it should be used.
2.
According to Linda, what does 85% accuracy mean?
The model always predicts sales correctly
85 predictions are wrong out of 100
85 out of 100 predictions are right
The model makes 85 predictions each day
Explanation:
Linda directly explains that 85% accuracy means 85 out of 100 predictions are right.
3.
Why does the model sometimes make mistakes?
It has never been tested
It uses past data only
It changes too quickly
It relies on customer opinions
Explanation:
Linda says the model makes mistakes because it uses past data only.
4.
What can be inferred about the model as more data is added?
It will no longer use past data
It is likely to become more accurate
It will begin making more mistakes
It will stop needing any review
Explanation:
Linda says that with more data, the model gets better, so it is reasonable to infer that its accuracy improves.
5.
Why does Linda tell Daniel not to trust the model fully?
Because the model has not predicted any sales yet
Because the model is accurate only 50% of the time
Because the model is only a helpful guide and can be wrong
Because the model is meant to replace human workers
Explanation:
Linda explains that the model can make wrong predictions and should be used as a helpful guide, not trusted fully.
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