Ha, Van Sang and Nguyen, Ha Nam and Nguyen, Duc Nhan (2016) A Novel Credit Scoring Prediction Model based on Feature Selection Approach and Parallel Random Forest. Indian Journal of Science and Technology, 9 (20).
Full text not available from this repository.Abstract
Background/Objectives: This article presents a method of feature selection to improve the accuracy and the computation speed of credit scoring models. Methods/Analysis: In this paper, we proposed a credit scoring model based on parallel Random Forest classifier and feature selection method to evaluate the credit risks of applicants. By integration of Random Forest into feature selection process, the importance of features can be accurately evaluated to remove irrelevant and redundant features. Findings: In this research, an algorithm to ...
| Item Type: | Article |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Dr Hà Nam Nguyễn |
| Date Deposited: | 24 Nov 2016 08:58 |
| Last Modified: | 24 Nov 2016 08:58 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/1942 |
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