Application of Machine Learning Methods to Assessment of Applicants

A. A. Timofeev
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Abstract

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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机器学习方法在申请人评估中的应用
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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