Evaluating the performance of Random Forest, Decision Tree, Support Vector Regression and Gradient Boosting for streamflow prediction
This study utilized a range of machine learning algorithms to predict the hourly streamflow in the Ikpoba River. Data gathering relied on a Hydromet System installed along the river, collecting hourly measurements of gage height, ambient temperature, and atmospheric pressure. To convert the gage he...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Can Tho University Publisher
2024-07-01
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| Series: | CTU Journal of Innovation and Sustainable Development |
| Subjects: | |
| Online Access: | https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/827 |
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