AUC - different interpretations When browsing through literature about ROC - AUC, there seems to be a disparity.
While some plot TPR and FPR, e.g. from Wikipedia: "The ROC curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR)"
Others do it with sensitivity and specificity, e.g. in this paper https://jamanetwork.com/journals/jamacardiology/fullarticle/2789370
What is the difference? and why? Why would you take one over the other?

The two ROC curves are equivalent, they just use different names for the same thing. True positive rate equals sensitivity:
$$
\text{TPR} = \text{sensitivity} = \frac{\text{true positives}}{\text{true positives}+\text{false negatives}}
$$
False positive rate equals $1 - \text{specificity}$:
$$
\text{FPR}=\frac{\text{false positives}}{\text{false positives}+\text{true negatives}}
=1 - \frac{\text{true negatives}}{\text{false positives}+\text{true negatives}}
$$
