Loan product attribute determination method and server
A technology of product attributes and determination methods, applied in the field of information processing, can solve the problems of fixed attributes of loan products and inability to meet the loan needs of different customer groups, and achieve the effect of flexible configuration
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[0073] Example one
[0074] figure 1 The implementation process of the method for determining the attributes of a loan product provided by the first embodiment of the present invention is shown, and the details are as follows:
[0075] Step S101, training a decision tree classifier based on historical data.
[0076] Wherein, the historical data may be attribute data of loan products stored in history. That is, the decision tree classifier can be trained through the previously stored corresponding relationship between the loan application amount, user qualifications, risk level, various fund source attributes and loan product attributes. Optionally, each fund source attribute may be information such as the level of the available amount, the length of the loanable period, and so on.
[0077] In an embodiment, the training process of the decision tree classifier based on historical data is:
[0078] Calculate the information gain of each attribute according to the training sample data se...
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[0127] Example two
[0128] Corresponding to the method for determining loan product attributes described in the above embodiment, image 3 It shows a schematic diagram of the operating environment of the loan product attribute determination program provided by the embodiment of the present invention. For ease of description, only parts related to this embodiment are shown.
[0129] In this embodiment, the loan product attribute determination program 300 is installed and run on the server 30. The server 30 may include, but is not limited to, a memory 301 and a processor 302. image 3 Only the server 30 with components 301-302 is shown, but it should be understood that it is not required to implement all of the illustrated components, and more or fewer components may be implemented instead.
[0130] The storage 301 may be an internal storage unit of the server 30 in some embodiments, such as a hard disk or a memory of the server 30. In other embodiments, the memory 301 may also be a...
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