When you are dealing with strongly imbalanced data, the Precision-Recall curve is a very good tool, better than its more common cousin the ROC curve.
Davis et. al. have shown that an algorithm which optimizes the area under the ROC curve is not guaranteed to optimize the area under the PR curve.