College entrance examination score prediction method and system based on machine learning algorithm

A machine learning and prediction method technology, applied in the field of machine learning, can solve the problems of low prediction accuracy and efficiency, limited data volume, etc., to achieve scientific prediction results, save labor time, and improve prediction efficiency.

Pending Publication Date: 2020-10-30
浙江萃文科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a machine learning algorithm-based college entrance examination score prediction method for the

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • College entrance examination score prediction method and system based on machine learning algorithm
  • College entrance examination score prediction method and system based on machine learning algorithm
  • College entrance examination score prediction method and system based on machine learning algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0021] figure 1 It is a flow chart of the method for predicting college entrance examination scores based on machine learning algorithms in the present invention. Such as figure 1 As shown, in one embodiment, the present invention provides a method for predicting college entrance examination scores based on machine learning algorithms, which specifically includes the following steps:

[0022] Step 1 (S100): Obtain the basic data of candidates in the form of questionnaires.

[0023] The present invention adopts the method of questionnaire survey to obtain the basic data of candidates. The questionnaires reflect in detail the completion of daily ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a college entrance examination score prediction method and system based on a machine learning algorithm. The method comprises the steps: obtaining basic data of examinees in aquestionnaire survey form; preprocessing the basic data to obtain a feature value, wherein the preprocessing includes data cleaning processing and missing item completion processing; screening the characteristic values by adopting a random forest algorithm; adopting an Adaboost algorithm to establish a prediction model; obtaining consultation information input by a user; and inputting the consultation information into the prediction model to generate a score interval prediction result. According to the invention, various influence factors such as interests, pressure resistance and personalitycharacteristics of students in each discipline, performance in a usual college entrance examination tension environment and the like are taken into consideration; the scores of the examinees are predicted by combining various examination scores of the examinees, and the purpose of comprehensively referring to the personal ability of the examinees is achieved; meanwhile, the prediction efficiency is greatly improved, and the prediction result is more scientific and accurate.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a method and system for predicting college entrance examination scores based on machine learning algorithms. Background technique [0002] The college entrance examination is the most important talent selection method in China. It has the same meaning as the imperial examination system in ancient times. It has an important position in the hearts of candidates and parents to change their destiny. The results of the college entrance examination are an important criterion for the selection of talents by colleges and universities. For candidates, the college entrance examination is also a fair arena, and the exit of the venue leads to their ideal universities. However, the number of candidates has increased in recent years, while the number of admissions to top domestic schools has remained the same, and the admission rate has decreased year by year. Therefore, the s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q50/20G06N20/00
CPCG06Q10/04G06Q50/205G06N20/00
Inventor 佘彦赵龙霄任庆伟李峥潘生林
Owner 浙江萃文科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap