What decision tree learning algorithm does MATLAB use to create decision trees?

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I'm doing a predictive modeling research project and for my report I can't just explain that I input the data into MATLAB and it spits out a model for me after using classregtree. So does MATLAB use ID3, CART, C4.5 for creating trees? What is MATLAB's univariate splitting criteria?

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Ilya
Ilya am 22 Jul. 2013
classregtree uses the CART algorithm described in the Classification and Regression Trees book by Breiman et al.

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Shashank Prasanna
Shashank Prasanna am 18 Jul. 2013
Bearbeitet: Shashank Prasanna am 18 Jul. 2013
I think you will find your answer in the documentation:
Splitting criterion:
But if you look at the references in the ClassificationTree.fit it cites the following:
[1] Coppersmith, D., S. J. Hong, and J. R. M. Hosking. "Partitioning Nominal Attributes in Decision Trees." Data Mining and Knowledge Discovery, Vol. 3, 1999, pp. 197217.

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