OmniGA: Optimized Omnivariate Decision Trees for Generalizable Classification Models

Classification problems from different domains vary in complexity, size, and imbalance of the number of samples from different classes. Although several classification models have been proposed, selecting the right model and parameters for a given classification task to achieve good performance is n...

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Detalles Bibliográficos
Autores principales: Magana-Mora, Arturo, Bajic, Vladimir B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478657/
https://www.ncbi.nlm.nih.gov/pubmed/28634344
http://dx.doi.org/10.1038/s41598-017-04281-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478657/
https://www.ncbi.nlm.nih.gov/pubmed/28634344
http://dx.doi.org/10.1038/s41598-017-04281-9

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