Logistic Regression has been widely used in the financial service industry for credit scoring models. Despite its advantages in easy interpretation and low computing cost, Logistic Regression is under the criticism of failure to model the nonlinear features of the predictors effect on the dependent variable and therefore might lead to unsatisfactory results. Modern statistical techniques such a...
