The AUROC is a measure of the model's ability to discriminate between positive and negative instances. Usually AUROC as evaluation is preferred above accuracy as it allows to trade off the possibly different costs of incorrectly classifying a negative instance as positive, or equivalently to tradeoff between the model's sensitivity and specificity.