Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia
This study compares the performance and accuracy of four ML algorithms which are Support Vector Regressor (SVR), Artificial Neural Network (ANN), Random Forest Regressor (RFR), and Linear Regression (LR) in the rainfall prediction application. All four methods employ the same input parameters which...
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| Format: | Conference or Workshop Item |
| Language: | English |
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ALife Robotics Corporation Ltd
2025
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44631/ http://umpir.ump.edu.my/id/eprint/44631/1/Comparative%20Analaysis%20of%20Machine%20Learning%20Algorithms%20for%20Rainfall%20Prediction.pdf |
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| author | Seri Liyana, Ezamzuri Sarah ‘Atifah, Saruchi Ammar A., Al-Talib |
| author_facet | Seri Liyana, Ezamzuri Sarah ‘Atifah, Saruchi Ammar A., Al-Talib |
| author_sort | Seri Liyana, Ezamzuri |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This study compares the performance and accuracy of four ML algorithms which are Support Vector Regressor (SVR), Artificial Neural Network (ANN), Random Forest Regressor (RFR), and Linear Regression (LR) in the rainfall prediction application. All four methods employ the same input parameters which are temperature (°c), dew point (°c), humidity (%), wind speed (Kph) and pressure (Hg). Meanwhile the output parameter is set to be the rainfall (mm) which indicates the precipitation in Kuantan, Pahang, Malaysia. The analysis shows that the SVR consistently outperforms the other machine learning algorithms, achieving the lowest Mean Absolute Error (MAE) and Mean Squared Error (MSE). |
| first_indexed | 2025-11-15T03:56:05Z |
| format | Conference or Workshop Item |
| id | ump-44631 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:56:05Z |
| publishDate | 2025 |
| publisher | ALife Robotics Corporation Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-446312025-05-23T01:23:36Z http://umpir.ump.edu.my/id/eprint/44631/ Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia Seri Liyana, Ezamzuri Sarah ‘Atifah, Saruchi Ammar A., Al-Talib T Technology (General) TJ Mechanical engineering and machinery TS Manufactures This study compares the performance and accuracy of four ML algorithms which are Support Vector Regressor (SVR), Artificial Neural Network (ANN), Random Forest Regressor (RFR), and Linear Regression (LR) in the rainfall prediction application. All four methods employ the same input parameters which are temperature (°c), dew point (°c), humidity (%), wind speed (Kph) and pressure (Hg). Meanwhile the output parameter is set to be the rainfall (mm) which indicates the precipitation in Kuantan, Pahang, Malaysia. The analysis shows that the SVR consistently outperforms the other machine learning algorithms, achieving the lowest Mean Absolute Error (MAE) and Mean Squared Error (MSE). ALife Robotics Corporation Ltd 2025-02-13 Conference or Workshop Item PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/44631/1/Comparative%20Analaysis%20of%20Machine%20Learning%20Algorithms%20for%20Rainfall%20Prediction.pdf Seri Liyana, Ezamzuri and Sarah ‘Atifah, Saruchi and Ammar A., Al-Talib (2025) Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia. In: Proceedings of International Conference on Artificial Life and Robotics. 30th International Conference on Artificial Life and Robotics, ICAROB 2025 , 13 - 16 February 2025 , Oita, Japan. 398 -402., 30 (326389). ISSN 2435-9157 ISBN 978-499133372-9 (Published) https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS13/OS13-4.pdf |
| spellingShingle | T Technology (General) TJ Mechanical engineering and machinery TS Manufactures Seri Liyana, Ezamzuri Sarah ‘Atifah, Saruchi Ammar A., Al-Talib Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia |
| title | Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia |
| title_full | Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia |
| title_fullStr | Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia |
| title_full_unstemmed | Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia |
| title_short | Comparative analysis of machine learning algorithms for rainfall prediction in Kuantan, Pahang, Malaysia |
| title_sort | comparative analysis of machine learning algorithms for rainfall prediction in kuantan, pahang, malaysia |
| topic | T Technology (General) TJ Mechanical engineering and machinery TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/44631/ http://umpir.ump.edu.my/id/eprint/44631/ http://umpir.ump.edu.my/id/eprint/44631/1/Comparative%20Analaysis%20of%20Machine%20Learning%20Algorithms%20for%20Rainfall%20Prediction.pdf |