Wikipedia says that an interpretation of the area under the ROC curve is: "the area under the curve is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one".

But is it the same interpretation of the area under the PR curve? If not, can you please give me an intuitive interpretation for it like the above?

Edit: PR == Precision-Recall