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Training method of risk prediction model and related device

A risk prediction and training method technology, applied in the computer field, can solve problems such as large amount of data, long training period of risk prediction model, and high training complexity

Pending Publication Date: 2020-11-03
WEIKUN (SHANGHAI) TECH SERVICE CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

Due to the large amount of data in the financial data set, the training period of the risk prediction model is long and the training complexity is high

Method used

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  • Training method of risk prediction model and related device
  • Training method of risk prediction model and related device
  • Training method of risk prediction model and related device

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Embodiment Construction

[0023] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0024] Each of them will be described in detail below.

[0025] The terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprisi...

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Abstract

The invention relates to the field of block storage systems and artificial intelligence, and discloses a risk prediction model training method and a related device, and the method comprises the steps:obtaining a first financial data set which comprises M pieces of first financial data corresponding to a plurality of first fields; for the first financial data set, vectorizing a plurality of piecesof first financial data associated with each of the plurality of first fields to obtain a plurality of first vectors; determining the correlation between every two first vectors in the plurality of vectors by adopting a preset feature selection algorithm; determining a second financial data set from the first financial data set according to the correlation between every two first vectors; and training a risk prediction model by adopting the second financial data set. By implementing the embodiment of the invention, the training period of the risk prediction model is shortened, and the training complexity is reduced.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a training method and related apparatus for a risk prediction model. Background technique [0002] With the rapid development of emerging technologies, various industries have begun to use deep learning, neural networks, etc. to achieve risk prediction. For example, a risk prediction model can be used to predict corporate default risk. Generally speaking, before realizing the prediction of enterprise default risk through the risk prediction model, the training of the risk prediction model is required. In the prior art, when training a risk prediction model, financial data sets are often used directly. Due to the large amount of data in financial datasets, the training period of the risk prediction model is long and the training complexity is high. SUMMARY OF THE INVENTION [0003] The embodiments of the present application provide a training method and a rel...

Claims

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Application Information

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IPC IPC(8): G06Q40/00G06N3/08
CPCG06Q40/00G06N3/08
Inventor 李招张彬杰
Owner WEIKUN (SHANGHAI) TECH SERVICE CO LTD
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