Forecasting the CPI of Singapore: a machine learning approach

• Main Authors: Lam, Benedict Jun Ze, Goh, Aaron Chang Long, Wong, Brendan Sheng Wei
• Other Authors: Wang Wei-Siang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Social sciences::Economic theory
• Online Access: https://hdl.handle.net/10356/156507
• Institution: Nanyang Technological University

This paper explores the use of machine learning (ML) models in forecasting Singapore Consumer Price Index (CPI). Linear ML models such as LASSO, Ridge, Elastic Net and Support Vector Regression, as well as tree-based ML models such as AdaBoost, Bagged Decision Trees, Gradient Boosted Trees and Rando...