Preprint
Aug 2026
Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction
Using basin-scale observations of post-wildfire debris-flow events across the western United States, a systematic evaluation of machine learning models in terms of predictive performance, feature importance, and synthetic data augmentation provides a comprehensive framework for improving post-wildfire debris-flow predi...
Quinn Ledingham, Zheng-Sen Xu, Yi-Min Zhu et al.
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