Abstract:

The article studies the relationship between social and economic indicators and their impact on per capita investment in the region. We chose investment in fixed assets per capita as the main factor, since our scientific work set a goal: to study the speed of economic renewal in the Russian Federation. A reliable source was used as a source of data on socio-economic indicators of 85 constituent entities of the Russian Federation - the official resource of the Federal State Statistics Service “RosStat” For the study, 34 factors were selected, based on which the region can be characterized from all sides. Many factors allow you to perform a large selection of statistical data, which ensures the accuracy and reliability of the results. The main method of scientific research was chosen mathematical methods, namely the calculation of the correlation coefficients between the main and auxiliary factors, as well as the construction of a mathematical model - an ensemble of decision trees - an effective machine learning method based on a combination of simple machine learning algorithms, such as decision trees into a single whole. The study will reveal which factors have the greatest relationship with fixed investment per capita, and thanks to modern mathematical methods and machine learning, identify relationships that may not be obvious.