Research on GDP Data Prediction of Guangxi Beibu Gulf Based on Support Vector Machine and ARIMA Model

The Gross Domestic Product (GDP) of a region is a key indicator for measuring its economic development, and an important reference for related institutions when planning regional initiatives for the future. In such a situation, the task of predicting regional GDP becomes increasingly important. However, most institutions still rely on traditional methods, which have limited efficacy. This study takes the Beibu Gulf region of Guangxi as an example, and uses machine learning models, specifically Support Vector Machine (SVM) and Differential Integral Moving Average Autoregression Model (DIMAR), to predict the region's GDP. Experimental results show that SVM can be used to predict regional GDP and its performance is excellent.