Application of Machine Learning Methods to Assessment of Applicants

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.