AUC-Based boosting method for the classification of rare classes
Lizhen Wang · Yunnan Daxue xuebao. Shehui kexue ban · 2007
Classifying to unbalance data sets has many applications in our life.The number of rare class is much less than the other,so most classiers could not do well when they meet rare class.But usually the recognition of the rare class is most important,so it's really a challenge for classification problem of unbalance data sets.To solve the problem better,the paper proposes a novel AUC-Based(AUC: Area Under ROC Curve) Boosting method.