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

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Alexander
Alexander on 18 Jul 2013
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?

Accepted Answer

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

More Answers (1)

Shashank Prasanna
Shashank Prasanna on 18 Jul 2013
Edited: Shashank Prasanna on 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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