ML functional performance metrics · Question 43 of 60
Model A achieves precision 90% and recall 50%, model B precision 70% and recall 70%. Which model has the higher F1-score?
1 answer is correct. Hard
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Answer
- B Model B with F1 = 70 compared with about 64.3 for model A
Explanation
F1 = 2 × P × R / (P + R). Model A: 2 × 90 × 50 / 140 ≈ 64.3. Model B: 2 × 70 × 70 / 140 = 70. The arithmetic mean is 70 for both, but the harmonic mean penalizes the imbalance between precision and recall. A high F1-score requires both high precision and high recall.