This analysis demonstrates improved predictions of beach behavior in pocket beaches using machine learning, suggesting benefits for coastal management strategies.
Key Points
ML-based predictions outperformed traditional statistical methods, confirming a significant leap in predictive accuracy.
The gradient boosting regressor showed R² values exceeding 0.7 in several cases, indicating robust model performance.