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Credit Score Model Training Method, Credit Score Calculation Method, Device and Server

机译:信用评分模型训练方法,信用评分计算方法,装置及服务器

摘要

[0001] The present invention relates to the field of credit evaluation, in which a credit score model training method, a credit score calculation method, an apparatus and a server, wherein the method comprises a sample user's i-th credit score, Obtaining (101); Calculating (102) a sample user's i + 1 th credit score by training a credit score model based on an i th credit score, an i th credit score, and a default labeling information of the sample user; (103) of obtaining a credit score model in which the training is terminated if the termination condition is met. This method solves the problem that it is difficult to accurately calculate a user's credit score when the user's personal information is insufficient or incorrect, The credit score of the user and the related credit score calculated on the basis of the user's social relationship, thereby increasing the coverage range of the credit score model and increasing the accuracy of calculating the credit score of the user Respectively.
机译:[0001]本发明涉及信用评估领域,其中信用分数模型训练方法,信用分数计算方法,装置和服务器,其中,所述方法包括样本用户的第i信用分数, 101);通过基于i 信用分数,i 信用分数和样本用户的默认标签信息训练信用分数模型,计算(102)样本用户的i +1信用分数; (103)获得一个信用评分模型,如果满足终止条件,则终止训练。该方法解决了当用户的个人信息不足或不正确时,难以准确计算用户的信用评分的问题,该用户的信用评分和根据该用户的社会关系计算出的相关信用评分,从而增加了用户的信用评分。分别覆盖信用评分模型的覆盖范围和提高用户信用评分计算的准确性。

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