用于在线借贷信用风险预测的混合机器学习算法的性能评估

IF 2.9 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Applied Artificial Intelligence Pub Date : 2024-05-25 DOI:10.1080/08839514.2024.2358661
Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid
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引用次数: 0

摘要

在处理信贷和评估相关风险方面,点对点系统仍处于早期发展阶段。在这项研究中,我们使用了一种混合卷积法,它可以对信贷风险进行评估。
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Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction
Peer-to-Peer systems are still in the early stages of development when it comes to the processing of credit and the appraisal of the risk associated with it. In this study, we used a hybrid convolu...
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来源期刊
Applied Artificial Intelligence
Applied Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
5.20
自引率
3.60%
发文量
106
审稿时长
6 months
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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