Check your understanding of this module before moving on.
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Checkpoint quiz 3 questions
A quick check on this module's key ideas before you move on
Question 01
Why is accuracy a misleading metric on a dataset where 99% of cases are negative?
B is correct. A trivial model that ignores the data entirely can still post an impressive-looking accuracy number on heavily imbalanced data, which is exactly why accuracy alone is dangerous there.
Question 02
Precision answers which question?
B is correct. Precision measures how trustworthy a positive prediction is: TP divided by (TP + FP). Recall, not precision, answers the first option.
Question 03
In medical screening, why is recall often prioritized over precision?
B is correct. A missed diagnosis can be life-threatening, while a false alarm just costs a follow-up test. That cost asymmetry is why screening tests usually favor recall.