Decision Tree, subset contents

asked 2013-09-04 02:58:21 -0500

Hi! I'm new to opencv and I'm using the machine learning library to create a decision tree from a dataset of binary numbers that I use as categorical variables. Once the tree is created how is it possible to know what are the subsets made of?

Example: suppose there are not binary numbers but letters from A to F. After the tree creation how can I understand where the tree put the B letter, is there a way to know if in the last split contains the D?

My problem is that i don't know how to find a particular variable in the tree...

Thank you for the help :D

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