机器学习方法在申请人评估中的应用

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI:10.1109/scm55405.2022.9794849

A. A. Timofeev

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引用次数: 0

摘要

该报告考虑了应用机器学习方法来解决评估申请人的问题。描述了一个预测申请人在大学教育成功的模型的创建。给出了各种机器学习算法和数据预处理的实验结果。根据最近一次会议的数据对所开发的模型进行了评估。

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Application of Machine Learning Methods to Assessment of Applicants

The report considers the application of machine learning methods for solving the problem of assessing applicants. The creation of a model for predicting the success of an applicant's education at a university is described. The results of experiments with various machine learning algorithms and data preprocessing are presented. The developed model was evaluated based on the data of the latest session.

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来源期刊

2022 XXV International Conference on Soft Computing and Measurements (SCM)

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