Machine learning methods in prospective studies after an example of financing innovation in Colombia

The purpose of this article is to make a brief introduction to five advanced machine learning prediction methods which may be useful for the development of prospective studies: logistic regression, support vector machines, gradient powered machines, random forests and neural networks. In addition, i...

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Auteurs principaux:	Padilla-Ospina, Ana Milena, Medina-Vásquez, Javier Enrique, Ospina-Holguín, Javier Humberto
Format:	Online
Langue:	spa
Publié:	Universidad Pedagógica y Tecnológica de Colombia 2020
Sujets:	logistic regression; support vector machines; gradient powered machines; random forests; neuronal networks regresión logística; máquinas de vectores de soporte; máquinas de gradiente potencia; bosques aleatorios; redes neuronales
Accès en ligne:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/11676