We have observed that active learning, in particular the strategy Margin, can provide a model of predefined AUROC with a smaller number of labelled data points. In fact, the better model AUROC we want to achieve, the more evident is the gain in AUROC that can be obtained by using active learning. Moreover, we have observed that the reduction in number of required labelled data points with active learning differs between different data sets. This could be due to different complexity of the data sets.