We demonstrate how to optimize the area under the receiver operating characteristic curve (AUC) effectively and also discuss how to adjust it to optimize other well-known evaluation metrics such as the accuracy and F 1measure.
one can learn a bipartite ranking function effectively by AUC optimization in our setting, which suggests the idea to learn a reliable ranking function first, and then adjust the threshold.