ML functional performance metrics · Question 21 of 60
A classifier yields TP = 80, FP = 20, FN = 40 and TN = 860. What are precision and recall?
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Answer
- D Precision 80%, recall 66.7%
Explanation
Precision = TP / (TP + FP) = 80 / 100 = 80%. Recall = TP / (TP + FN) = 80 / 120 ≈ 66.7%. The 94% is the accuracy: (80 + 860) / 1000.