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Logic regression model building method and apparatus, storage medium and terminal

A logistic regression model and construction method technology, applied in the field of communication, can solve the problems of low model accuracy, non-monotonous variables, poor stability, etc., and achieve the effect of quick inspection, improved stability and accuracy

Inactive Publication Date: 2018-07-27
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The embodiment of the present invention provides a method, device, storage medium and terminal for constructing a logistic regression model, so as to solve the problems of low accuracy and poor stability of the model in the prior art when the variables input into the model are not monotonous

Method used

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  • Logic regression model building method and apparatus, storage medium and terminal
  • Logic regression model building method and apparatus, storage medium and terminal
  • Logic regression model building method and apparatus, storage medium and terminal

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Embodiment 2

[0121] Figure 7 It shows the composition and structure diagram of the apparatus for constructing the logistic regression model provided by the embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0122] In the embodiment of the present invention, the device for constructing the logistic regression model is used to realize the above-mentioned figure 1 , figure 2 , image 3 , Figure 4 The method for constructing the logistic regression model described in the embodiments may be a software unit, a hardware unit or a combination of software and hardware built into the terminal.

[0123] see Figure 7 , the construction device of the logistic regression model comprises:

[0124] A preprocessing module 71, configured to acquire sample data and preprocess the sample data;

[0125]An export module 72, configured to export the preprocessed sample data to an Excel document;

[012...

Embodiment 3

[0154] This embodiment provides a computer-readable storage medium, and a computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the method for constructing the logistic regression model in Embodiment 1 is implemented. To avoid repetition, it is not repeated here repeat. Alternatively, when the computer program is executed by the processor, the functions of each module / unit in the logistic regression model construction device in Embodiment 2 are realized, and in order to avoid repetition, details are not repeated here.

Embodiment 4

[0156] Figure 8 It is a schematic diagram of a terminal provided by an embodiment of the present invention, and the terminal includes but is not limited to a server and a mobile terminal. like Figure 8 As shown, the terminal 8 in this embodiment includes: a processor 80 , a memory 81 , and a computer program 82 stored in the memory 81 and operable on the processor 80 . When the processor 80 executes the computer program 82, the steps in the embodiment of the method for constructing the above-mentioned logistic regression model are realized, for example figure 1 shown in steps S101 to S104, figure 2 Steps S1011 to S1014 described in the embodiment, image 3 Steps S1031 to S1034 described in the embodiment and Figure 4 Steps S401 to S405 described in the embodiment, or, when the processor 80 executes the computer program 82, realizes the function of each module / unit in the embodiment of the above-mentioned logistic regression model construction device, for example Figu...

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Abstract

The invention is suitable for the technical field of communications, and provides a logic regression model building method. An analysis method comprises the steps of obtaining sample data, and preprocessing the sample data; exporting the preprocessed sample data to an Excel document; generating a VBA task, executing the VBA task, and performing monotonicity check and adjustment on the sample datain the Excel document; and importing the sample data subjected to the monotonicity check and adjustment to a database from the Excel document, and taking the sample data as a training set for traininga logic regression model of a target variable. The monotonicity check of the sample data in the process of building the logic regression model is realized, and a visual operation interface is realized, so that the monotonicity of the sample data can be quickly checked and viewed, the monotonicity check efficiency is improved, and the stability and accuracy of the built model are improved.

Description

technical field [0001] The invention belongs to the technical field of communications, and in particular relates to a method, device, storage medium and terminal for constructing a logistic regression model. Background technique [0002] Logistic regression (logistic regression) model is a multivariate analysis method to study the relationship between the dependent variable and the impact factor (independent variable). It is a probabilistic nonlinear regression. When using the logistic regression model for data modeling, if the variables input into the model are not monotonous, the overall accuracy and stability of the model will be greatly reduced. Contents of the invention [0003] Embodiments of the present invention provide a method, device, storage medium and terminal for constructing a logistic regression model, so as to solve the problems of low accuracy and poor stability of the model in the prior art when variables input to the model are not monotonous. [0004] ...

Claims

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Application Information

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IPC IPC(8): G06N99/00G06F17/30
CPCG06F16/25G06F16/26G06N20/00
Inventor 王进
Owner CHINA PING AN LIFE INSURANCE CO LTD
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