Modeling method of evaluation model and apparatus thereof
A technology for evaluating models and modeling methods, applied in computational models, neural learning methods, biological neural network models, etc.
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[0036] In practical applications, when evaluating business risks for multiple different business scenarios, it is usually hoped that the trained evaluation model can be applied to different business scenarios;
[0037] For example, when the above-mentioned business is a credit business, the above-mentioned evaluation model can usually be a credit risk evaluation model at this time, and the above-mentioned multiple different business scenarios can include different credit business scenarios such as credit card, housing loan, and car loan. In this case It is generally hoped that the credit score obtained by the above-mentioned credit risk evaluation model for business risk evaluation can be universal and perform well in different scenarios such as loans, credit cards, and consumer finance.
[0038] In related technologies, in order to solve the above problems, there are usually the following modeling methods:
[0039] The first is to train an evaluation risk model based on model...
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