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A Review and Experimental Comparison of Multivariate Decision Trees

Decision trees are popular as stand-alone classifiers or as base learners in ensemble classifiers. Mostly, this is due to decision trees having the advantage of being easy to explain. To improve the classification performance of decision trees, some authors have used Multivariate Decision Trees (MDT...

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Bibliografski detalji
Glavni autori: Leonardo Canete-Sifuentes, Raul Monroy, Miguel Angel Medina-Perez
Format: Artigo
Jezik:Inglês
Izdano: IEEE 2021-01-01
Serija:IEEE Access
Teme:
Online pristup:https://ieeexplore.ieee.org/document/9505668/
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