Sensitivity=recall is used in both fields, but the second metric is different. Why? Both tasks (classification and medicine) look same - data has two classes and we do some predictions on it and want to assess the accuracy.
Here is the answer:
- Both precision/recall pair and sensitivity(=recall)/specificity pair are good metrics and exhaustive enough without the other one.
- But in medical feilds, we have omission diagnostic rate and misdiagnosis rate, which is with realistic meaning and may cause huge trouble. Considering this, we use sensitivity (opposite with omission diagnostic rate) and specificity (opposite with misdiagnosis rate).
That's it :)