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

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...

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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 problems of limited data volume, low prediction accuracy and low efficiency in the existing college entrance examination score prediction methods

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