System Analysis of Financial Monitoring Subjects' Activities for the Country's Economic Security Ensuring

The article considers the binary classification problem of economic security objects on the credit institutions example, for which it is proposed to use machine learning methods. In the study process the expediency of one of the methods of machine learning — the method of k-nearest neighbors — was proved to solve this problem, its efficiency amounted to 84 %. Key words: machine learning methods, financial statements, performance indicators, credit institutions, binary classification, k-nearest neighbors method