ML functional performance metrics · Question 7 of 60
How is the F1-score defined?
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Answer
- A As the harmonic mean of precision and recall
Explanation
The F1-score is the harmonic mean of precision and recall: 2 × (Precision × Recall) / (Precision + Recall). It ranges from 0 to 100. A value close to 100 means that the model achieves both high precision and high recall.