Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree

Uncertainty evaluation based on statistical probabilistic information entropy is a commonly used mechanism for a heuristic method construction of decision tree learning. The entropy kernel potentially links its deviation and decision tree classification performance. This paper presents a decision tr...

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Detalles Bibliográficos
Autores principales: Sun, Huaining, Hu, Xuegang, Zhang, Yuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514679/
https://www.ncbi.nlm.nih.gov/pubmed/33266913
http://dx.doi.org/10.3390/e21020198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514679/
https://www.ncbi.nlm.nih.gov/pubmed/33266913
http://dx.doi.org/10.3390/e21020198

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