Unlock instant, AI-driven research and patent intelligence for your innovation.

Asset level prediction method and device, equipment and storage medium

A prediction method and storage medium technology, applied in the field of machine learning, can solve the problem of low asset level prediction accuracy, achieve the effect of optimizing accuracy and improving accuracy

Pending Publication Date: 2022-03-25
WEBANK (CHINA)
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide an asset level forecasting method, device, equipment and storage medium, aiming to solve the problem of low accuracy of existing asset level forecasting

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Asset level prediction method and device, equipment and storage medium
  • Asset level prediction method and device, equipment and storage medium
  • Asset level prediction method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] refer to figure 1 , figure 1 It is a schematic diagram of the structure of the asset level forecasting device of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0069] Such as figure 1 As shown, the asset level forecasting 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), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The netw...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an asset level prediction method and device, equipment and a storage medium, and belongs to the technical field of machine learning. The method comprises the steps of obtaining target data, predicting missing user asset levels by inputting the target data into a pre-constructed asset level prediction model, obtaining corresponding target asset level scores, sorting the target asset level scores, calculating corresponding sorting results, and inputting the sorting results into a prediction curve. And obtaining a predicted asset level corresponding to the prediction curve, and carrying out restoration processing on the predicted asset level to obtain a target asset level. And the regression effect brought by the asset level prediction model is restored through the fitting curve, so that the asset level distribution predicted by the model is basically consistent with the actual asset level distribution, and the high and low asset level user effect is also ensured.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to an asset level prediction method, device, equipment and storage medium. Background technique [0002] In the field of financial risk control, the user's asset level is an important evaluation indicator, such as income, salary, credit limit, etc. However, most of the user asset level indicators are missing and need to be filled. The general practice in the industry is to train the regression model of the machine learning algorithm on the selected business samples, and then predict the asset level scores of the market users, so as to make up for the lack of asset level indicators of users. Generally speaking, the model has a regression effect, so the distribution of the asset level score predicted by the model will deviate from the distribution of the actual user's asset level, and the model scores will cluster around the mean, and the prediction effect on low ass...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q40/06G06N20/00
CPCG06Q10/04G06Q10/06393G06Q40/06G06N20/00
Inventor 陈庆麟陈婷吴三平庄伟亮
Owner WEBANK (CHINA)