[SOLVED] Creating ensemble methods (bagging)

Hi, I am trying to create a hybrid classificator using two different classification algorithms. I want to use bagging, so idea would be to split dataset into multiple datasets, classifie with one kin of classifiers and classify results with another classifier.
I have dataset. I use bagging control in rapidMiner and K-NN inside it. I manage to get classification results from each of k-nn. How can i collect those results and give them as a dataset to the next classifier (probably random forest) ?