Forecasting the CPI of Singapore: a machine learning approach
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...
| 主要な著者: | , , |
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| その他の著者: | |
| フォーマット: | Final Year Project (FYP) |
| 言語: | English |
| 出版事項: |
Nanyang Technological University
2022
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/156507 |