Overview of classical machine training methods in the context of solving the tasks of classification

The article is devoted to the review of classical methods of machine learning, which are used in classification problems. Both basic classifiers and ensemble methods are considered. In the conclusion of the work, the results of testing the methods considered are presented when solving the problem of identifying patients with diabetes.