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

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Alexander
Alexander 2013-7-18
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 2013-7-22
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 2013-7-18
编辑：Shashank Prasanna 2013-7-18
I think you will find your answer in the documentation:
http://www.mathworks.com/help/stats/classification-trees-and-regression-trees.html
Splitting criterion:
http://www.mathworks.com/help/stats/splitting-categorical-predictors-for-multiclass-classification.html
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. 197–217.

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