ML functional performance metrics · Question 4 of 60

How is precision calculated?

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Answer

  • C TP / (TP + FP) × 100%

Explanation

Precision indicates what proportion of the cases predicted as positive are actually positive: TP / (TP + FP) × 100%. It measures how sure one can be about positive predictions. TP / (TP + FN), by contrast, is recall.

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