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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |