ML functional performance metrics · Question 25 of 60
What does a low F1-score mean?
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Answer
- B The model identifies positives poorly: it misses true cases or generates many false alarms
Explanation
A low F1-score indicates that the model struggles to accurately identify positives: either it misses true cases (low recall) or it generates many false alarms (low precision). A value close to 100, by contrast, means that false positives and false negatives have minimal impact.