Credit Risk Assessment in P2P Lending Using LightGBM and Particle Swarm Optimization
Credit risk evaluation is a vital task in the P2P Lending platform. An effective credit risk assessment method in a P2P lending platform can significantly influence investors' decisions. Machine learning algorithm such as LightGBM can be used to evaluate credit risk. However, the results in ev...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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unipdu
2023
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| Online Access: | http://eprints.uthm.edu.my/8937/ http://eprints.uthm.edu.my/8937/1/J15898_e63681e26a66ff10c518c7ea4a580069.pdf |
| _version_ | 1848889538407038976 |
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| author | Dasril, Yosza Muslim, Much Aziz Al Hakim, M. Faris Jumanto, Jumanto Prasetiyo, Budi |
| author_facet | Dasril, Yosza Muslim, Much Aziz Al Hakim, M. Faris Jumanto, Jumanto Prasetiyo, Budi |
| author_sort | Dasril, Yosza |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Credit risk evaluation is a vital task in the P2P Lending platform. An effective credit risk assessment method in a P2P lending platform can significantly influence investors' decisions. Machine learning algorithm such as LightGBM
can be used to evaluate credit risk. However, the results in evaluating P2P lending need to be improved. This research aims to improve the accuracy of the LightGBM algorithm by combining it with the Particle Swarm Optimization (PSO) algorithm. This research is novel as it combines LightGBM
with PSO for large data from the Lending Club Dataset, which can be accessed on Kaggle.com. The highest accuracy also presented satisfactory results with 98.094% accuracy, 90.514% Recall, and 97.754% NPV, respectively. The combination of LightGBM and PSO has resulted in better outcome. |
| first_indexed | 2025-11-15T20:27:46Z |
| format | Article |
| id | uthm-8937 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:27:46Z |
| publishDate | 2023 |
| publisher | unipdu |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-89372023-06-18T01:36:19Z http://eprints.uthm.edu.my/8937/ Credit Risk Assessment in P2P Lending Using LightGBM and Particle Swarm Optimization Dasril, Yosza Muslim, Much Aziz Al Hakim, M. Faris Jumanto, Jumanto Prasetiyo, Budi T Technology (General) Credit risk evaluation is a vital task in the P2P Lending platform. An effective credit risk assessment method in a P2P lending platform can significantly influence investors' decisions. Machine learning algorithm such as LightGBM can be used to evaluate credit risk. However, the results in evaluating P2P lending need to be improved. This research aims to improve the accuracy of the LightGBM algorithm by combining it with the Particle Swarm Optimization (PSO) algorithm. This research is novel as it combines LightGBM with PSO for large data from the Lending Club Dataset, which can be accessed on Kaggle.com. The highest accuracy also presented satisfactory results with 98.094% accuracy, 90.514% Recall, and 97.754% NPV, respectively. The combination of LightGBM and PSO has resulted in better outcome. unipdu 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/8937/1/J15898_e63681e26a66ff10c518c7ea4a580069.pdf Dasril, Yosza and Muslim, Much Aziz and Al Hakim, M. Faris and Jumanto, Jumanto and Prasetiyo, Budi (2023) Credit Risk Assessment in P2P Lending Using LightGBM and Particle Swarm Optimization. Jurnal Ilmiah Teknologi Sistem Informasi. pp. 18-28. ISSN 2502-3357 http://doi.org/10.26594/register.v9i1.3060 |
| spellingShingle | T Technology (General) Dasril, Yosza Muslim, Much Aziz Al Hakim, M. Faris Jumanto, Jumanto Prasetiyo, Budi Credit Risk Assessment in P2P Lending Using LightGBM and Particle Swarm Optimization |
| title | Credit Risk Assessment in P2P Lending Using LightGBM and
Particle Swarm Optimization |
| title_full | Credit Risk Assessment in P2P Lending Using LightGBM and
Particle Swarm Optimization |
| title_fullStr | Credit Risk Assessment in P2P Lending Using LightGBM and
Particle Swarm Optimization |
| title_full_unstemmed | Credit Risk Assessment in P2P Lending Using LightGBM and
Particle Swarm Optimization |
| title_short | Credit Risk Assessment in P2P Lending Using LightGBM and
Particle Swarm Optimization |
| title_sort | credit risk assessment in p2p lending using lightgbm and
particle swarm optimization |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/8937/ http://eprints.uthm.edu.my/8937/ http://eprints.uthm.edu.my/8937/1/J15898_e63681e26a66ff10c518c7ea4a580069.pdf |