Instance sampling in credit scoring : An empirical study of sample size and balancing

@inproceedings{Crone2015InstanceSI,
  title={Instance sampling in credit scoring : An empirical study of sample size and balancing},
  author={Sven F. Crone and Steven Finlay},
  year={2015}
}
To date, best practice in sampling credit applicants has been established based largely on expert opinion, which generally recommends that small samples of 1500 instances each of both goods and bads are sufficient, and that the heavily biased datasets observed should be balanced by undersampling themajority class. Consequently, the topics of sample sizes and sample balance have not been subject to either formal study in credit scoring, or empirical evaluations across different data conditions… CONTINUE READING

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