In order to ensemble a decision tree, let me explain the specific situation.I have split the dataset in 5 sections, per protocol e.g. TCP, HTTP etc.Now I've trained a decision tree for each one and run this against my test dataset.How do I go about combining the 5 prediction models. Do I....a) combine the predicted output e.g. 1,0;1,1 for each section done separate and then run it against the test dataset to identify confusion matrix. This is actual class, predicted class.orb) do I take the tree build and then add the additional ones to the tree model, in effect combining them.Which method should be suitable, would option a even be a good solution?
Decision Tree Ensembling
decision trees;ensemble modeling