Prediction and Management of Regional Economic Scale Based on Machine Learning Model

Abstract

The country is developing rapidly and the economy is taking off. For the country, the economic development of each region is very important, and the economy is the key to measuring the development of a region. To this end, the machine learning model is combined with regional economic scale prediction and management, and the two are studied together to obtain the following: (1) The key to measuring the regional economy is the growth rate of GDP and GDP. For the economic comparison between region A and region B, the economic scale is predicted by machine learning model. The regional economic development is better, which has an important basis for the comparison of the following methods. (2) There are many ways to improve the regional economy. Among them, the development of the industrial economy has the highest degree of regional economic indicators GDP and GDP growth rate. (3) The machine learning model has many benefits in the development of regional economic forecasting. Among them, reducing errors has the greatest impact on the regional economy. By comparison, it can be known that the accuracy of the regional economic forecasting under the machine learning model and the required forecasting time have been greatly optimized.