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Interpretability With Accurate Small Models

Models often need to be constrained to a certain size for them to be considered interpretable. For example, a decision tree of depth 5 is much easier to understand than one of depth 50. Limiting model size, however, often reduces accuracy. We suggest a practical technique that minimizes this trade-o...

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Detalles Bibliográficos
Autores principales: Ghose, Abhishek, Ravindran, Balaraman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861231/
https://www.ncbi.nlm.nih.gov/pubmed/33733123
http://dx.doi.org/10.3389/frai.2020.00003

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