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Listening Quiz: Thuyết Trình Về Các Chỉ Số Đánh Giá Mô Hình – Medium Level
Th8 15, 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.
What is the model’s accuracy?
80 percent
95 percent
90 percent
85 percent
Explanation:
James says, “The accuracy is 85 percent.”
2.
What is the model’s recall?
70 percent
80 percent
90 percent
85 percent
Explanation:
James states that the recall is 90 percent.
3.
What does James say the F1 score does?
It measures deployment risk.
It balances precision and recall.
It reduces false positives to zero.
It increases accuracy automatically.
Explanation:
James explains that the F1 score is 85 percent and that it balances precision and recall.
4.
What can be inferred about the model’s performance from the conversation?
Its precision is higher than its recall.
It performs perfectly with no errors.
It should not be used under any circumstances.
It has strong recall but could still be improved.
Explanation:
The conversation says recall is 90 percent and that the model has some low false positives and can still be tuned to increase precision, which supports the inference that it performs well but could be improved.
5.
Why does Anna ask whether the accuracy is good enough for deployment?
She is asking James to explain the F1 score.
She wants to compare it with the recall only.
She is planning to reject the model immediately.
She wants to know if the model is ready to use.
Explanation:
Anna asks about deployment right after hearing the accuracy, showing she wants to know whether the model is ready to use.
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