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Patent Searching and Data


Title:
TARGET OBJECT EVALUATION METHOD BASED ON MULTI-SCORE CARD FUSION, AND RELATED DEVICE THEREFOR
Document Type and Number:
WIPO Patent Application WO/2022/142001
Kind Code:
A1
Abstract:
The present application belongs to the field of artificial intelligence, and relates to a target object evaluation method based on multi-score card fusion, and a related device therefor. The method comprises: performing data cleansing according to distribution states of feature variables included in historical data of a target object, and then performing feature variable screening, so as to obtain an original feature variable set; performing a grouping operation on the original feature variable set, so as to obtain a plurality of mutually exclusive target feature variable sets; constructing a plurality of target LR models on the basis of the target feature variable sets, and generating model precision values; and generating a plurality of score card models on the basis of the target LR models, performing score card fusion according to the score card models and the model precision values corresponding thereto, so as to obtain a target score card model, and outputting a target score value on the basis of the target score card model. In addition, the present application further relates to blockchain technology, and data, which is determined as private information, can be stored in a blockchain. By means of the present application, model risk caused by a feature variable offset can be reduced, thereby improving model stability and also ensuring model precision.

Inventors:
ZHANG QIAOLI (CN)
LIN RONGJI (CN)
Application Number:
PCT/CN2021/090154
Publication Date:
July 07, 2022
Filing Date:
April 27, 2021
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F16/215; G06Q10/06; G06N20/00
Foreign References:
CN106408423A2017-02-15
CN111191889A2020-05-22
CN111931848A2020-11-13
CN108665120A2018-10-16
CN112037005A2020-12-04
CN111915428A2020-11-10
US20200225222A12020-07-16
Attorney, Agent or Firm:
SL INTELLECTUAL PROPERTY CO., LTD. (CN)
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