Algorithm for Searching Weight Indicators in the Reproduction Cycles Proportions of Different Sectoral Localization at the Regional Level

The purpose of the study is to develop an algorithm for finding weight indicators in the proportions of reproductive cycles of various industry localizations to determine the integral coefficient of the state of reproductive proportions.Regression analysis methods were used for data processing and analysis, and the construction of digital models for optimizing weight indicators is based on the use of "Lasso", "Random Forest", and "Ensemble" models.As a result, a Python programming language code algorithm has been formed, which allows the use of econometric modeling to search for optimal weight values and to form integral coefficients with mathematical justification.The use of the developed algorithm will allow the development of a system for managing reproductive processes at the regional level with the aim of forming strategies for socio-economic development based on the identification of standard proportions of reproductive cycles of various industry localizations.