ML functional performance metrics · Question 49 of 60
A model yields TP = 50, FP = 50, FN = 0 and TN = 900. Which values are correct?
3 answers are correct. Hard
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Answer
- A F1-score about 66.7
- B Accuracy 95%
- C Recall 100%
Explanation
Accuracy = (50 + 900) / 1000 = 95%. Recall = 50 / 50 = 100%, precision = 50 / 100 = 50%. F1 = 2 × 50 × 100 / 150 ≈ 66.7. The F1-score is well below the arithmetic mean of 75 because precision is low.