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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| 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 |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2634460225000160/type/journal_article |
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