Comparing the Effectiveness of Machine Learning and Deep Learning Models in Student Credit Scoring: A Case Study in Vietnam
In emerging markets like Vietnam, where student borrowers often lack traditional credit histories, accurately predicting loan eligibility remains a critical yet underexplored challenge. While machine learning and deep learning techniques have shown promise in credit scoring, their comparative perfor...
Saved in:
| Main Authors: | Nguyen Thi Hong Thuy, Nguyen Thi Vinh Ha, Nguyen Nam Trung, Vu Thi Thanh Binh, Nguyen Thu Hang, Vu The Binh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Risks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9091/13/5/99 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Innovative Teaching, Delivering Materials and the Student's Satisfaction in Online Learning: Evidence from a Sharp Shift due to Covid-19 Pandemic in Vietnam
by: Vu Thi Thanh Binh, et al.
Published: (2022-02-01) -
The factors affecting accessibility to credit capital of small and medium enterprises in Vietnam
by: Phung The Dong, et al.
Published: (2019-01-01) -
Credit Scoring on Cash Flow Table with Machine Learning: XGBoost Approach
by: Güner Altan, et al.
Published: (2022-07-01) -
Learning English in the ‘shadow’: Patterns and implications of English private tutoring in Vietnam
by: Lan Thi Huong Nguyen, et al.
Published: (2024-09-01) -
The effect of mergers and acquisitions on the efficiency of Vietnam banking system during the restructuring period
by: Phuong Anh Nguyen, et al.
Published: (2022-12-01)