Hi --
Once I've run a DecisionTree learner, is there a way to obtain the attribute selection metric that was computed at each node (e.g. information gain or gain ratio)?
I'm using ModelWriter to output the results, but I don't see that information there.
Also, is there an option to obtain other information such as fraction of data that was split at each node?
Any help much appreciated.
Thanks!
I am sure (at least with 99%) that is is not possible without digging into the code and alteration of the decision-tree-builder. Beside: It makes no sense that the requested information is stored in the model itself since it is not needed for application.
greetings,
steffen