MODELING USING LINEAR AND POLYNOMIAL REGRESSION ALGORITHMS OF MACHINE LEARNING BASED ON MAHALLA DATA

The article deals with the problem of creating a model and algorithm to support the importance of monitoring in the management of socio-economic processes in self-government bodies, decision-making in self-government bodies through machine learning. Models and algorithms of the decision-making process in digital form are studied, consisting of independent data, quantitative parametric assessments of the activities of self-government bodies and general expert assessments of self-government bodies. This model is used to quantify the generalized expert assessment of the condition of the object of the new self-government body, which is interpreted as a proposed improvement solution.

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