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CREDIT RISK ASSESSMENT OF BANKS' LOAN ENTERPRISE CUSTOMER BASED ON STATE-CONSTRAINT

机译:基于国家限制的银行贷款企业客户的信用风险评估

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摘要

Commercial banks are facing increasingly complex enterprise loan customers and businesses. It is important for banks' enterprise loan business to efficiently assess credit risks. Our study builds an enterprise credit risk assessment model based on the state and constraint of bank and customer, and get empirical researches with RF, SVM and DT algorithms. The results show that our model has excellent performance with accuracy 99% and great characteristic importance in the evaluation of enterprise credit risk. The study can provide important decisionmaking reference for bank loan business and enrich the theoretical system of bank credit risk research.
机译:商业银行面临着越来越复杂的企业贷款客户和企业。 银行企业贷款业务很重要,以有效地评估信用风险。 我们的研究基于银行和客户的国家和限制建立了企业信用风险评估模型,并与RF,SVM和DT算法进行实证研究。 结果表明,我们的模型具有优异的性能,精度为99%,在评估企业信用风险时表现出色。 该研究可以为银行贷款业务提供重要的决策参考,并丰富银行信贷风险研究的理论体系。

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