A Study on RB-XGBoost Algorithm-Based e-Commerce Credit Risk Assessment Model

The current method’s e-commerce credit risk assessment is prone to poor data balance and low evaluation accuracy. An RB-XGBoost algorithm-based e-commerce credit risk assessment model is proposed in this study. The adaptive random balance (RB) method is used to sample and process the obtained data t...

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Autores principales: Weimin Yang, Lili Gao
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/7277a4a0c30b4c5da40396c61d8540d7
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