2024
DOI: 10.21203/rs.3.rs-3856741/v1
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Performance evaluation of Machine Learning based regression models for rainfall forecasting

Md. Abu Saleh,
H. M. Rasel

Abstract: Rainfall plays a crucial role in the water cycle, serving as a direct input for agricultural practices and water resource management. However, its patterns vary significantly across different regions, creating challenges for sustainable water use. This study focuses on the Rangpur district in northwestern Bangladesh, where irrigation heavily relies on unpredictable rainfall. To address this, this study employed three machine learning regression methods – Random Forest, Support Vector Machine, and Gradient Boos… Show more

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