A Machine Learning Approach to Evaluate the Performance of Rural Bank
In the current performance evaluation works of commercial banks, most of the researches only focus on the relationship between a single characteristic and performance and lack a comprehensive analysis of characteristics. On the other hand, they mainly focus on causal inference and lack systematic qu...
Saved in:
| Main Authors: | Jun Wei, Tao Ye, Zhe Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6649605 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach
by: Emmanuel Awoin, et al.
Published: (2020-01-01) -
Performance of Islamic rural bank: maqashid sharia index
by: Surayya Fadhilah Nasution
Published: (2025-04-01) -
Performance Evaluation of Islamic Rural Banks for Supporting SDGs 16: A POJK 3/2022 Perspective
by: Putri Salsabila, et al.
Published: (2025-01-01) -
What drives the profitability of banking sectors in the European Union? The machine learning approach
by: Bernardelli Michał, et al.
Published: (2024-09-01) -
Evaluating the Thermohydraulic Performance of Microchannel Gas Coolers: A Machine Learning Approach
by: Shehryar Ishaque, et al.
Published: (2025-06-01)