Metrics for Model Selection in Consumer Finance Problems
暂无分享,去创建一个
We consider the issue of model selection for some prediction problems in consumer finance. In particular, we look at performance metrics in the context of classification problems. Example areas considered include response modeling, profitability modeling and default prediction in the framework of a customer relationship management (CRM) system. We propose some guidelines for choosing the appropriate performance measure for the predictive model based on the decision framework it is part of.
[1] Sotiris B. Kotsiantis,et al. A Cost Sensitive Technique for Ordinal Classification Problems , 2004, SETN.
[2] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[3] B. Baesens,et al. A support vector machine approach to credit scoring , 2003 .