ML functional performance metrics · Question 46 of 60

A model has predicted 50 cases as positive and achieves a precision of 80%. How many false alarms (false positives) does this contain?

1 answer is correct. Hard

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Answer

  • A 10

Explanation

Precision = TP / (TP + FP). With 50 positive predictions (TP + FP = 50) and 80% precision, TP = 40. The remaining FP = 50 − 40 = 10 are false alarms.

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