Data processing method and device based on joint model

A data processing device and data processing technology, applied in the field of data processing, can solve problems such as difficulty in ensuring business processing efficiency, increasing computer computing load, etc.

Inactive Publication Date: 2021-04-20
SHANGHAI ICEKREDIT INC
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Problems solved by technology

Generally speaking, there are many kinds of machine learning models used in business processing. Taking the logistic regression model as an example, most common business scenarios use the logistic regression model for busi...

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  • Data processing method and device based on joint model
  • Data processing method and device based on joint model

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[0044]In order to better understand the above technical solutions, the technical solutions of the present invention will be described in detail below through the accompanying drawings and specific examples. It should be understood that the embodiments of the present invention and the specific features in the examples are detailed descriptions of the technical solutions of the present invention, and It is not a limitation to the technical solutions of the present invention, and the embodiments of the present invention and the technical features in the embodiments can be combined with each other under the condition of no conflict.

[0045] The present invention introduces a combined model of an integrated tree model (XGBoost) and a logistic regression model (LR) for prediction. The logistic regression model is faster, but LR is a linear model with limited learning ability, and feature engineering is especially important at this time. Feature engineering mainly focuses on finding ...

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Abstract

The invention discloses a data processing method and device based on a joint model. The method comprises the following steps: dividing an obtained original sample into a training set and a test set; and determining a first training sample, a second training sample and a third training sample according to the training set, and fitting the first training sample, the second training sample and the third training sample to obtain a corresponding logistic regression model and a corresponding evaluation index, so that a target model combination can be determined according to different evaluation indexes. According to the design, the integration tree model is combined with the logistic regression model, so that the nonlinear capability of the linear model is improved, the operation load of a computer is reduced in some service scenes, and the service processing efficiency is ensured.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data processing method and device based on a joint model. Background technique [0002] In various business scenarios, there are usually problems such as data identification and classification processing, so as to realize the prediction and evaluation of different businesses. Generally speaking, there are many kinds of machine learning models used in business processing. Taking the logistic regression model as an example, most common business scenarios use the logistic regression model for business prediction. However, since the logistic regression model is a linear model, in some business Scenarios may increase the computing load of the computer, and it is difficult to guarantee the efficiency of business processing. Contents of the invention [0003] In order to improve the above problems, the present invention provides a joint model-based data processing m...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q40/02G06K9/62
Inventor 顾凌云高忠生李嘉明谢旻旗段湾张阳王震宇
Owner SHANGHAI ICEKREDIT INC
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