Abstract:
This article solves the problem of developing a program code for evaluating the activities of
educational institutions of higher education on the basis of a set of indicators. The indicators of previous
university assessments and their final results are used as input data. Machine learning with a teacher based
on a multiple linear regression algorithm is used to successfully solve the problem, which allows us to
identify patterns for an adequate assessment. These patterns are revealed on the basis of data accumulated
during the activities of universities, and the experience existing in educational practice in assessing
universities. As a result, the developed program code based on the available data gives an assessment of
the university with a certain accuracy.