A methodology for building predictive models of the mutual influence of small and medium-sized businesses and higher education system

Subject. This article discusses the issues of mutual influence and the efficiency of interaction between small and medium-sized enterprises and the higher education system in Russia. Objectives. The article aims to identify the factors of mutual influence and build predictive models of the mutual influence of small and medium-sized enterprises and higher education using classical and modern methods. Methods. For the study, I used descriptive statistics and data analysis methods using artificial intelligence. Results. The article presents certain results that help identify indicators of the mutual influence of small and medium-sized enterprises and the higher education system. Conclusions and Relevance. The results of the study are relevant in the context of the chosen course in Russia towards spatial development of the domestic economy, where each particular territory (region) has characteristics that are distinct from others, and therefore, management decisions in each of them, including those related to the development of small and medium-sized businesses and higher education and their impact on socioeconomic development, differ from management decisions in other regions.