Development of a support vector machine-based analytical module

Artificial intelligence methods are powerful tools, but the quality of the results obtained can depend on the specific subject area. Therefore, there is a need for software that can be customized to suit the needs of individual users. The aim of this paper was to develop such a solution using support vector machines, high-level programming, and benchmarking. The resulting software was developed, tested, and found to be suitable for practical use.