[2I1-GS-2] Machine learning: Random forest

[2I1-GS-2-02] Economic Trend Index Forecasting Using Multiple Regression Model and Random Forest

〇Hideaki Sasaki¹, Shoichi Urano¹ (1. Meiji University)

Keywords:Machine learning, Random Forest, Multiple Regression Model, Economic Trend Index, Economic Trend

In this paper, we propose a prediction model that combines statistical methods with different prediction characteristics and machine learning methods in parallel. As a combining method, a multiple regression model and a random forest are used. Because using one method is considered as a risk, the risk is reduced by combining methods with different prediction characteristics. Furthermore, we select effective explanatory variables for economic trend index prediction and improve learning to improve prediction accuracy.