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