Advances in Decision Sciences
Volume 2009 (2009), Article ID 868215, 14 pages
doi:10.1155/2009/868215

Cumulative gains model quality metric

Thomas Brandenburger and Alfred Furth

Department of Mathematics and Statistics, South Dakota State University, Box 2220, Brookings, SD 57007, USA

Abstract

This paper proposes a more comprehensive look at the ideas of KS and Area Under the Curve (AUC) of a cumulative gains chart to develop a model quality statistic which can be used agnostically to evaluate the quality of a wide range of models in a standardized fashion. It can be either used holistically on the entire range of the model or at a given decision threshold of the model. Further it can be extended into the model learning process.