The article deals with the problem of constructing a model and algorithm for decision support in self-government bodies using machine learning. The method of multiple linear regression for processing the training sample was chosen as a machine learning method. In the training sample, independent data consists of parametric estimates in numerical form of self-government bodies in three areas of activity, such as education, social environment and crime. And the dependent parameter consists of generalized expert assessments of self-government bodies, also in numerical form. The model and algorithm of the decision support process using the method of multiple linear regression are constructed. Based on the constructed model and the proposed algorithm, the coefficients of the function for decision support are identified. Using this model, a generalized expert assessment is determined for the new self-government body in numerical form, which is interpreted as a proposed solution for improving the condition of the object.
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"DEVELOPMENT OF THE ALGORITHM FOR SUPPORTING DECISION-MAKING IN SELF-GOVERNMENT BODIES USING MACHINE LEARNING,"
Scientific-technical journal: Vol. 24
, Article 4.
Available at: https://uzjournals.edu.uz/ferpi/vol24/iss6/4