MATLAB: How to create a table with all the path data from the decision tree

Statistics and Machine Learning Toolbox

I have a tree generated from the "fitrtree" function. I need all paths and it's corresponding data as individual columns in a table. Can I do that?

Best Answer

Unfortunately, there is no direct functionality in MATLAB that can create this type of table.

However, you can create such table manually by using the "fitrtree" class properties such as "PredictorNames" and "ResponseName".

Please refer to the following documentation for more information regarding this properties:

https://www.mathworks.com/help/stats/regressiontree-class.html

I have conveyed this information to the developers and they may consider this as an enhancement for a future release.

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MATLAB: Replacement for ‘eval’ function

That "eval" function was a method of the "classregtree" class which was removed in MATLAB R2018a. I noticed that you are now using the "fitctree" method instead of the removed "classregtree".

The trees from "fitctree" are part of the "ClassificationTree" class. A similar method to "eval" is in that class. It is called- "predict" and it predicts labels using classification tree. The third input in "predict" is slightly different than "eval", so you would need to change the inputs slightly.

Instead of:

>> eval(T, X, s)

The "predict" function should be used with the 'Subtrees' Name-Value pair.

>> predict(T, X, 'Subtrees', s);

For more information on the "ClassificationTree" class and the "predict" function, see the documentation links below.

https://www.mathworks.com/help/stats/classificationtree-class.html

https://www.mathworks.com/help/stats/compactclassificationtree.predict.html

MATLAB: How to count terminate leaves in decision tree

"exist any way how to count number of terminate leaves in decision tree?" &nbsp This is what I found in the R2014a documentation

load ionosphere
my_tree = fitctree(X,Y);
sum(double(not(my_tree.IsBranch)))

which returned "19" for this example (copy&pasted from the documentation).

"how many are yes and how many are no from all terminate leaves" &nbsp after some browsing of the documentation

is_leaf = not(my_tree.IsBranch);
cac = my_tree.NodeClass(is_leaf);
n_g = sum(double(strcmp( cac, 'g' )));
n_b = sum(double(strcmp( cac, 'b' )));
[ n_g, n_b, n_g+n_b ]

outputs

ans =
       6    13    19

Best Answer

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MATLAB: Replacement for ‘eval’ function

MATLAB: How to count terminate leaves in decision tree

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