Most approaches to credit scoring result in the generation of a model that minimises some function of error between actual and predicted values, or that maximises likelihood. Popular approaches include least squares methods such as linear regression and disciminant analysis, and maximum likelihood methods such as logistic regression. In practice, the criteria by which the parameters of a model ...