Machine learning approaches for forecasting inflation: empirical evidence from Sri Lanka
The aim of this study is to forecast the inflation rate using supervised machine learning models (SMLM). While SMLMs are widely used in various fields, they have also been widely applied to forecast inflation rates. Therefore, the main objective of this study is to identify the best model for foreca...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Ruhuna
2023-06-01
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| Series: | Ruhuna Journal of Science |
| Subjects: | |
| Online Access: | https://www.rjs.ruh.ac.lk/index.php/rjs/article/view/5575/375 |
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