ML functional performance metrics · Question 23 of 60
A classifier yields TP = 90, FP = 30, FN = 10 and TN = 70. Which values are correct?
3 answers are correct. Medium
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Answer
- A Accuracy 80%
- D Precision 75%
- E Recall 90%
Explanation
Accuracy = (90 + 70) / 200 = 80%. Precision = 90 / (90 + 30) = 75%. Recall = 90 / (90 + 10) = 90%. The F1-score is 2 × 75 × 90 / 165 ≈ 81.8, not 82.5 (the arithmetic mean).