Clearly, Brier Score and AUROC are better performance measures to compare classifiers. However, besides that, I am interested in a let's call it more economic view. I could imagine a classifier being much more accurate than the other. Nevertheless, the other classifier dominates in the ROC space for some sensitivity and specificity values. In introducing costs for misclassification, I might prefer exactly these values since the overall costs will be lower. I would like to point that out in the master thesis I'm writing right now. Is this correct and a legitimate point to make?