Business, Management and Accounting
3 years ago

Decision Tree Method Outperforms Naive Bayes in Predicting Credit Appropriation

International Conference on Information Technology
Comparison of Data Mining Classification Methods for Predicting Credit Appropriation through Naïve Bayes and Decision Tree Methods
Rendi Irawan, Agustinus Eko Setiawan, Kurnia Muludi

Paper Summary

The article compares two methods, Naive Bayes and Decision Tree, to predict if someone can pay back a loan. They used data mining on information about potential borrowers and found that Decision Tree was more accurate (95.24%) than Naive Bayes (79.59%) in predicting creditworthiness.

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