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The most important features in generalized additive models might be groups of features

Abstract While analyzing the importance of features has become ubiquitous in interpretable machine learning, the joint signal from a group of related features is sometimes overlooked or inadvertently excluded. Neglecting the joint signal could bypass a critical insight: in many instances, the most s...

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Kaydedildi:
Asıl Yazarlar: Tomas Bosschieter, Luis França, Jessica Wolk, Yiyuan Wu, Bella Mehta, Joseph Dehoney, Orsolya Kiss, Fiona C. Baker, Qingyu Zhao, Rich Caruana, Kilian M. Pohl
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2026-03-01
Seri Bilgileri:Scientific Reports
Konular:
Machine learning
Interpretability
Feature importance
Healthcare
Neuroscience
Online Erişim:https://doi.org/10.1038/s41598-026-43928-4
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