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Provable Boolean interaction recovery from tree ensemble obtained via random forests

Random Forests (RFs) are at the cutting edge of supervised machine learning in terms of prediction performance, especially in genomics. Iterative RFs (iRFs) use a tree ensemble from iteratively modified RFs to obtain predictive and stable nonlinear or Boolean interactions of features. They have show...

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Detalles Bibliográficos
Autores principales: Behr, Merle, Wang, Yu, Li, Xiao, Yu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295780/
https://www.ncbi.nlm.nih.gov/pubmed/35609192
http://dx.doi.org/10.1073/pnas.2118636119

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