Personal Credit Scoring Models on Naive Bayesian Classifier

Personal credit scoring plays an important role in financial and banking industry.This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.They are tested using 10-fold cross validation with two real world data sets,and compared with five neural network models of David West's.Results demonstrate that the naive Bayesian classifiers are competitive with neural network classifiers and predominant in credit scoring domain.