регресійна модель

R2 METRIC DYNAMICS FOR K-NEAREST NEIGHBORS REGRESSION MODEL TRAINED ON SERIES OF DIFFERENT SIZES

An R2 score or a coefficient of determination is used often as a metric to evaluate regression models. It can be applied solely but usually it is combined with other metrics in order to increase accuracy of a model evaluation. The goal of the work is to research the dynamics of the R2 score of a K-Nearest Neighbors regression model trained on series of different sizes in order to propose a new approach to increase the robustness and accuracy of the model evaluation when the R2 score metric is used solely.

ECONOMIC AND MATHEMATICAL MODELING OF THE EFFICIENCY ESTIMATION OF CURRENT USE ASSETS THROUGH CORRELATION AND REGRESSION APPROACH

At the current stage of economic reform, the introduction of market-based management methods, there is a growing need for prompt decision-making in the calculation and forecasting of options for possible directions of production activity of individual enterprises. And this is practically impossible to do without the use in analytical study of economic and mathematical methods. The most common in the process of simple economic analysis of the activity of economic systems is the use of correlation-regression analysis.