Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance

Research article (Neural Computing and Applications, 2016) · cited 127× · AI/ML
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Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance

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Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-individual-ensemble-and-integrated-ensemble-machine-learning-methods-to-predict-chinas-sme-credit-risk-in-
MLA “Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-individual-ensemble-and-integrated-ensemble-machine-learning-methods-to-predict-chinas-sme-credit-risk-in-.
BibTeX @misc{4ortxyz_comparison-of-individual-ensemble-and-integrated-ensemble-machine-learning-methods-to-predict-chinas-sme-credit-risk-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-individual-ensemble-and-integrated-ensemble-machine-learning-methods-to-predict-chinas-sme-credit-risk-in-}, note = {Accessed: 2026-05-24}}
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