Can Hyperparameter Tuning Improve the Performance of a Super Learner?: A Case Study

BACKGROUND: Super learning is an ensemble machine learning approach used increasingly as an alternative to classical prediction techniques. When implementing super learning, however, not tuning the hyperparameters of the algorithms in it may adversely affect the performance of the super learner. MET...

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Detalles Bibliográficos
Autores principales: Wong, Jenna, Manderson, Travis, Abrahamowicz, Michal, Buckeridge, David L, Tamblyn, Robyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553550/
https://www.ncbi.nlm.nih.gov/pubmed/30985529
http://dx.doi.org/10.1097/EDE.0000000000001027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553550/
https://www.ncbi.nlm.nih.gov/pubmed/30985529
http://dx.doi.org/10.1097/EDE.0000000000001027

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