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Regularized impurity reduction: accurate decision trees with complexity guarantees

Decision trees are popular classification models, providing high accuracy and intuitive explanations. However, as the tree size grows the model interpretability deteriorates. Traditional tree-induction algorithms, such as C4.5 and CART, rely on impurity-reduction functions that promote the discrimin...

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Detalles Bibliográficos
Autores principales: Zhang, Guangyi, Gionis, Aristides
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813065/
https://www.ncbi.nlm.nih.gov/pubmed/36618773
http://dx.doi.org/10.1007/s10618-022-00884-7