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In most of the places, I have found that sensitivity=recall. In terms of the Confusion Matrix, the formula for both of these is the same: $TP/(TP+FN)$. Is there any difference between these two metrics? If not, then why does the same thing has a different name?

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    $\begingroup$ The reason is probably its use in different fields. Recall is more of a production term and sensitivity more of a clinical term. The terms are also more self-explanatory in those fields, so I guess that's why. $\endgroup$ – Frans Rodenburg Aug 15 '18 at 13:39
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    $\begingroup$ True positive rate is yet another name for the same thing. In my opinion it is the most logical, because you can infer the definition from it: the amount of true positives with respect to all positives. $\endgroup$ – sebp Aug 15 '18 at 13:46
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It is not uncommon that statistical tools have different origins and names, but same meaning.

The name sensitivity comes from the statistics domain as a measure for the performance of a binary calssification, while recall is more related to the Information Engineering domain.

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