Hi,
I am creating a decision tree in SAS Enterprise Miner 14.2 in Won environment.
I am using decision tree node, and I have defined the depth of the tree, the number of rows in leaf and other atributtes.... I would like to know if I can select the type of algortthm , that is: ID3, C4.5......is that possible?, which algoritm are avalilables?
Thanks in advance
You can mix-and-match individual features from different algorithms. For example, you can use the CHAID method of creating a split and the CART method of retrospective pruning. There is no 'CART' or 'C4.5' parameter to give a specific set of features. I do not know where the documentation of parameters can be found. Technical support does.
You can mix-and-match individual features from different algorithms. For example, you can use the CHAID method of creating a split and the CART method of retrospective pruning. There is no 'CART' or 'C4.5' parameter to give a specific set of features. I do not know where the documentation of parameters can be found. Technical support does.
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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