doi: 10.7763/IJMO.2012.V2.176
Credit Evaluation Model of Loan Proposals for Indian Banks
Seema U. Purohit
1
,
Venkatesh Mahadevan
2
,
Anjali N. Kulkarni
3
- 1 Department of Mathematics, Kirti College and Department of Technology and Mgmt, NMITD, Mumbai, India
- 2 Information Systems & eBusiness, Swinburne University of Technology, Melbourne, Australia.
- 3 College, Panvel Navi Mumbai
Abstract
The failure and success of the Banking Industry depends largely on industry’s ability to properly evaluate credit risk. Credit Evaluation of any potential credit application has remained a challenge for Banks all over the world till today. This paper checks the applicability of one of the new integrated model on a sample data taken from Indian Banks. The integrated model is a combination model based on the techniques of Logistic Regression, Multilayer Perceptron Model, Radial Basis Neural Network, Support Vector Machine and Decision tree (C4.5) and compares the effectiveness of these techniques for credit approval process.
Keywords
- Credit evaluation
- decision process
- models
How to Cite
Seema U. Purohit, Venkatesh Mahadevan, and Anjali N. Kulkarni, "Credit Evaluation Model of Loan Proposals for Indian Banks," International Journal of Modeling and Optimization, vol. 2, no. 4, pp. 529-534, 2012. https://doi.org/ 10.7763/IJMO.2012.V2.176
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).