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Data processing method and related device

A technology of data processing and attribute data, applied in the field of artificial intelligence, can solve the problem of inability to guarantee the consistency of sample data distribution, and achieve the effect of balanced data distribution

Pending Publication Date: 2022-01-28
PING AN TECH (SHENZHEN) CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above method cannot guarantee that the sample data distribution of the experimental group and the control group are consistent

Method used

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  • Data processing method and related device
  • Data processing method and related device

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Embodiment Construction

[0056] The application will be described in further detail below in conjunction with the accompanying drawings.

[0057] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. As used in the specification and appended claims of this application, the singular expressions "a", "an", "said", "above", "the" and "this" are intended to also Plural expressions are included unless the context clearly indicates otherwise.

[0058] In this application, "at least one (item)" means one or more, "multiple" means two or more, "at least two (items)" means two or three and three Above, "and / or" is used to describe the association relationship of associated objects, which means that there can be three kinds of relationships, for example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time A case where A and B can be singular o...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses a data processing method and a related device. The method comprises the following steps: obtaining first sample groups and second sample groups, and under the condition that attribute data distribution characteristics of the two sample groups do not meet the equilibrium condition, determining the difficulty score of each kind of attribute data in the two first sample groups, determining a movement influence score of each sample in the two sample groups based on the difficulty score, exchanging K samples with the lowest movement influence in the two sample groups to obtain two updated sample groups, continuing to judge whether the attribute data distribution characteristics of the two updated sample groups meet the equilibrium condition or not, and if not, continuously updating the two sample groups until the equalization condition is met, and outputting the two updated sample groups meeting the equalization condition. According to the invention, the data distribution inconsistency degree of the two sample groups can be reduced as much as possible, so that the data distribution of the two sample groups is balanced.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a data processing method and related devices. Background technique [0002] In the work, it is often necessary to use the experimental group and the control group, and use the new strategy and the old strategy for the two groups of sample data to verify whether the new strategy is effective. The samples included in the experimental group and the control group are selected from the overall sample. If the characteristic distribution of the sample data of the experimental group and the control group is quite different, it is easy to have a negative impact on the experimental results. For example, in the application scenario of the auto insurance renewal strategy, if the distribution of certain indicators (such as the insurance period, car purchase time, etc.) between the experimental group and the control group is inconsistent, it will naturally lead to a h...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/06
CPCG06Q10/06393G06F18/23
Inventor 沈嘉良王遥
Owner PING AN TECH (SHENZHEN) CO LTD
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