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Personal Credit Default Prediction Model Based on Convolution Neural Network
Joint Authors
Zhou, Xiang
Zhang, Wenyu
Jiang, Yefeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
It has great significance for the healthy development of credit industry to control the credit default risk by using the information technology.
For some traditional research about the credit default prediction model, more attention is paid to the model accuracy, while the business characteristics of the credit risk prevention are easy to be ignored.
Meanwhile, to reduce the complicity of the model, the data features need be extracted manually, which will decrease the high-dimensional correlation among the analyzing data and then result in the low prediction performance of the model.
So, in the paper, the CNN (convolutional neural network) is used to establish a personal credit default prediction model, and both ACC (accuracy) and AUC (the area under the ROC curve) are taken as the performance evaluation index of the model.
Experimental results show the model ACC (accuracy) is above 95% and AUC (the area under the ROC curve) is above 99%, and the model performance is much better than the classical algorithm including the SVM (support vector machine), Bayes, and RF (random forest).
American Psychological Association (APA)
Zhou, Xiang& Zhang, Wenyu& Jiang, Yefeng. 2020. Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1196065
Modern Language Association (MLA)
Zhou, Xiang…[et al.]. Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1196065
American Medical Association (AMA)
Zhou, Xiang& Zhang, Wenyu& Jiang, Yefeng. Personal Credit Default Prediction Model Based on Convolution Neural Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1196065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196065