Hi all,
I'm working on classification imbalanced data streams.
While working on various algorithms i have found that when hoeffding trees are used as baselearner in the ensemble, results are obtained in less time than that of the j48(as baselearner).
But the difference in accuracy is noticeable i.e j48 clearly beats hoeffding trees in terms of accuracy(also other measures like AUROC mostly used for imbalanced data are better with j48).
although hoeffding trees are meant for stream classification can we say that it is justified to use j48 as baselearner in stream classification for examples like imbalanced streams??
Also where can I find clear differentiation in Hoeffding trees and J48 or general decision trees??
----- Abhijeet