OmniGA: Optimized Omnivariate Decision Trees for Generalizable Classification Models

Abstract 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 perform...

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Autores principales: Arturo Magana-Mora, Vladimir B. Bajic
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/364ca4f44c504fb6a0a83037a7d7273f
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