2021
DOI: 10.3844/jcssp.2021.451.458
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Comparative Performance of Supervised Learning Algorithms for Flood Prediction in Kemaman, Terengganu

Abstract: Flood is one of the most destructive phenomena all over the world. Because the flooding uncertainties and the urgency to prepare for disaster management, three specific technique approaches are compared in this study to predict the flood occurrence based on historical rainfall data. The study involved the rainfall data in Kemaman, Terengganu between 2017 and 2018 extracted from the official portal of the state of Terengganu. The dataset covers daily rainfall reading between January to December of the particula… Show more

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