In this paper, a bad-debt-risk evaluation model is established based on LS-SVM classifier, using a new set of index system which combines financial factors with ...

Oct 22, 2024 · PDF | This article presents a method joining Support Vector Machines (SVM), genetic search and multivariate analysis for identification of.

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 ...

Aug 27, 2024 · The traditional credit risk contagion assessment model based on the financial status of an enterprise and the pledging of fixed assets has been ...

LSSVM model has obvious advantages in classification prediction accuracy and recall rate, and the stability of the model is the best, which can effectively ...

A good credit risk evaluation tool can help to grant credit to more creditworthy applicants and thus increases profit. Moreover, it can deny credit for the ...

This algorithm was designed to identify an optimal subset of features and increased through accuracy classification and scalability through assessment of credit ...

In the case of LSSVM for credit risk analysis, more weight should be given to the class of delinquent customers, taking into account the prior knowl- edge ...

The study aims to establish a platform-based enterprise credit supervision mechanism, and combined with big data, accurately evaluate the credit assets of ...

Oct 22, 2024 · In this study, we discuss the use of least square support vector machine (LSSVM) technique to design a credit risk evaluation system to ...