Using feature importance as an exploratory data analysis tool on Earth system models
<p>Machine learning (ML) models are commonly used to generate predictions, but these models can also support the discovery of new science. Generating accurate predictions necessitates that a model captures the structure of the underlying data. If the structure is properly extracted, ML could b...
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| Main Authors: | D. Ries, K. Goode, K. McClernon, B. Hillman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-02-01
|
| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/18/1041/2025/gmd-18-1041-2025.pdf |
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