Reflective error: a metric for assessing predictive performance at extreme events

When using machine learning to model environmental systems, it is often a model’s ability to predict extreme behaviors that yields the highest practical value to policy makers. However, most existing error metrics used to evaluate the performance of environmental machine learning models weigh error...

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Bibliographic Details
Main Authors: Robert Edwin Rouse, Henry Moss, Scott Hosking, Allan McRobie, Emily Shuckburgh
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Environmental Data Science
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Online Access:https://www.cambridge.org/core/product/identifier/S2634460225000160/type/journal_article
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