ML functional performance metrics · Question 22 of 60
A model achieves a precision of 80% and a recall of 60%. What is the F1-score (rounded)?
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Answer
- D 68.6
Explanation
F1 = 2 × (Precision × Recall) / (Precision + Recall) = 2 × (80 × 60) / (80 + 60) = 9600 / 140 ≈ 68.6. The harmonic mean is always below the arithmetic mean (70) when precision and recall differ.