EasyEnsemble explaination
The toolbox only manage the sampling so this is slightly different from the algorithm from the paper.

What it does is the following: it creates several subset of data which are balanced. These subsets are created by randomly under-sampling the majority class. That is what you are getting from the toolbox.

To obtain what in the paper, you need to train an AdaBoost classifier for each subset. Thus, what you get is an ensembles of ensembles.

Hope that's help.