About this paper
This paper illustrates how Credit Scoring for SAS Enterprise Miner software is used to build credit scoring models for the retail credit industry. It discusses the benefits of performing credit scoring and the advantages of building credit scoring models in-house using SAS Enterprise Miner. It goes on to discuss the advantages and disadvantages of three important model types: the scorecard, the decision tree and the neural network. Finally, it presents a case study where an application scoring model is built with SAS Enterprise Miner, beginning with reading the development sample, through classing and selecting characteristics, fitting a regression model, calculating score points, assessing scorecard quality (in comparison to a decision tree model built on the same sample) and going through a reject inference process to arrive at a model for scoring the new customer applicant population.
SAS adalah pemimpin dalam ranah analitik. Melalui analitik inovatif, kecerdasan bisnis, serta layanan dan perangkat lunak pengelolaan, SAS membantu pelanggan di lebih dari 80.000 situs membuat keputusan yang lebih baik dengan lebih cepat. Sejak 1976, SAS memberi THE POWER TO KNOW® kepada pelanggan di seluruh dunia.