J45 output

[apinoa85]

Hello there,
In the TextArea of the ClassifierPanel we can see a model in the form of a decision tree, when we train J48 algorithm.
In this decision tree (x/y) is depicted in each leaf of the tree.
My question is: Is possible to have the same decision tree, but with the values (x/y) representing the results of the classifier after testing the classifier in a test dataset?

Best regards,
Adrian

[Mark]

Not without hacking the code I'm afraid.

Cheers,
Mark.

[apinoa85]

Not without hacking the code I'm afraid.

Cheers,
Mark.

Hello Mark, Thanks for you fast reply.
I have experience programming on weka's framework, so if you give me some hints, probably I could do it.
I realized weka stores the (x/y) values in an object m_tree of the class ClassifierTree. I guess this values are computed
during the training of the classifier (build(Instance) method).
In addition, somehow each instance in the test set passed as a parameter to the method classifyInstance(Instance) is run over all the conditions
in m_tree. I see this might be done in the getProbs(classIndex, instance, weight) method of the class ClassifierTree.
However, this method is a little confused for me, and I can not find how the test instance is tested in the tree.
If you could give me additional information, that would be good.
Thanks in advance,
Adrian