Predicting China’s SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods

We propose a new integrated ensemble machine learning (ML) method, i.e., RS-RAB (Random Subspace-Real AdaBoost), for predicting the credit risk of China’s small and medium-sized enterprise (SME) in supply chain finance (SCF). The sample of empirical analysis is comprised of two data sets on a quarte...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Entropy
المؤلفون الرئيسيون:	You Zhu, Chi Xie, Gang-Jin Wang, Xin-Guo Yan
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2016-05-01
الموضوعات:	supply chain finance (SCF) credit risk small and medium-sized enterprises (SMEs) machine learning method
الوصول للمادة أونلاين:	http://www.mdpi.com/1099-4300/18/5/195