The Application of a Hybrid Classification Method in Personal Credit Evaluation

被引：0

作者：

Gao, Li ^{[1
]}

Luo, Wei-hua ^{[2
]}

机构：

[1] Neijiang Normal Univ, Liberal Arts Expt Teaching Ctr, Neijiang 641112, Sichuan, Peoples R China

[2] Neijiang Normal Univ, Neijiang 641112, Sichuan, Peoples R China

来源：

3RD INTERNATIONAL CONFERENCE ON APPLIED MECHANICS AND MECHANICAL AUTOMATION (3RD AMMA 2017) | 2017年

关键词：

Personal credit assessment; Decision tree; Support vector machine;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

According to the characteristics of personal credit assessment example data, we analyze the advantages and disadvantages of decision tree and support vector machine in solving the problem of personal credit assessment. And then, we propose a hybrid classification method combining decision tree and support vector machine. Case analysis shows that this method effectively improves the classification accuracy.

引用

页码：212 / 218

页数：7

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