SHS Web of Conf.
Volume 174, 20232023 2nd International Conference on Science Education and Art Appreciation (SEAA 2023)
|Number of page(s)||5|
|Section||Landscape Management and Socio-Environmental Planning|
|Published online||11 August 2023|
Using Random Forest for Future Sea Level Prediction
Wenshan Middle School, Changyi, 261300, China
* Corresponding author: Email: email@example.com
This research paper presents an investigation into using the random forest algorithm for predicting future sea level. Sea level is a critical indicator of the health of our oceans and coastal areas and is measured in total weight observations. The study employs the random forest algorithm, a powerful machine learning technique, to analyze a dataset of sea level observations. The results of the analysis demonstrate the effectiveness of the random forest algorithm in accurately predicting future sea level changes. The findings of this research have important implications for coastal management and adaptation strategies. This research provides a valuable tool for decision-makers and coastal managers, allowing for more informed and proactive planning for sea level rise. Overall, the paper shows that the random forest algorithm is a promising method for sea level prediction and highlights the importance of continued research in this area.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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