Application of profit-based credit scoring models using R

In this study, we applied a profit-based scoring system with using 10 different statistical and machine learning algorithms on a consumer credit data of a Turkish commercial bank. RStudio environment and R packages have been used in data cleaning, feature selection and model implementation processes...

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Bibliographic Details
Main Author: Selçuk Bayracı
Format: Article
Language:English
Published: Romanian National Institute of Statistics 2017-11-01
Series:Revista Română de Statistică
Subjects:
Online Access:http://www.revistadestatistica.ro/wp-content/uploads/2017/11/RRS-4_2017_A01.pdf
Description
Summary:In this study, we applied a profit-based scoring system with using 10 different statistical and machine learning algorithms on a consumer credit data of a Turkish commercial bank. RStudio environment and R packages have been used in data cleaning, feature selection and model implementation processes. The results of the study reveal that artificial neural networks model seems to be superior to other techniques in terms of profit maximization.
ISSN:1018-046X
1844-7694