Method, device and equipment for predicting credit default probability of small and micro enterprises, and storage medium

A probabilistic prediction and enterprise technology, applied in the computer field, can solve problems such as data scarcity, insufficient accumulation of historical information, incompleteness, etc., and achieve the effect of improving the effect and risk identification ability

Pending Publication Date: 2021-12-14
武汉众邦银行股份有限公司
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Problems solved by technology

[0003] The main purpose of the present invention is to propose a method, device, equipment, and storage medium for predicting the probability of credit default of small and micro enterprises, aiming to solve the problems of data scarcity, incompleteness, and insufficient precipitation of historical information faced by financial institutions in the credit business of small and micro enterprises , to improve the effect of small and micro enterprise credit risk control models, thereby improving the level of financial institutions serving the real economy

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  • Method, device and equipment for predicting credit default probability of small and micro enterprises, and storage medium
  • Method, device and equipment for predicting credit default probability of small and micro enterprises, and storage medium
  • Method, device and equipment for predicting credit default probability of small and micro enterprises, and storage medium

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[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] refer to figure 1 , figure 1 It is a schematic structural diagram of a small and micro enterprise credit default probability prediction device for the hardware operating environment involved in the solution of the embodiment of the present invention.

[0050] Such as figure 1 As shown, the small and micro enterprise credit default probability prediction device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a button, and the optional user interface 1003 may also include a ...

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Abstract

The invention relates to the technical field of computers, discloses a method, a device and equipment for predicating the credit default probability of small and micro enterprises, and a storage medium, and aims to solve the problems of data scarcity, incompleteness, insufficient historical information precipitation and the like in small and micro enterprise credit businesses of financial institutions. According to the main scheme, the transfer learning-based small and micro enterprise credit default probability prediction method comprises the following steps: 1, obtaining a credit application request of a small and micro enterprise; 2, extracting current application feature information in the credit application request; 3, performing combined feature extraction on the application feature information of the current small and micro enterprises through a source domain integrated learning model, and marking the leaf node position to which a prediction probability value obtained by calculation of each tree in the source domain integrated learning model belongs as 1 to obtain a combined feature; and 4, carrying out credit default probability prediction through a target domain learning model according to the extracted combined features, and obtaining a prediction result of the credit default probability of the small and micro enterprises.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, equipment and storage medium for predicting the probability of credit default of small and micro enterprises. Background technique [0002] Since the rapid development of mobile Internet technology, the contactless credit business has exploded, and financial institutions have made breakthroughs in the transformation of retail strategies. However, in the past, it was mainly for personal consumption loans. After nearly a decade of development, personal consumption loans have faced excessive leverage and growth. Weakness, profit shrinkage, regulatory tightening and other difficulties, especially the supervision has repeatedly emphasized that it is not appropriate to rely on the development of consumer finance to expand consumption. Since last year, various regulatory agencies have continued to vigorously support the improvement of financial services for t...

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Application Information

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IPC IPC(8): G06Q10/04G06Q40/02G06K9/62G06N20/20
CPCG06Q10/04G06N20/20G06Q40/03G06F18/24323G06F18/214
Inventor 周雄斌田羽兰翔陈刚李诗宇
Owner 武汉众邦银行股份有限公司
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