Combining decision tree into combine Ensemble

How may i combine different decision trees trained with different training data into a combine ensemble.I have four different classification trees trained with different predictors.I did boosting of individual trees.I don't know how to combine them into a single model.Please help me

Answer 1

[Image Analyst]

You can use TreeBagger() to create an ensemble ("forest") of classifications trees, kind of like you did fitctree() a bunch of times, to give an improved model over just one fitctree(). Like getting the "average" of 50 or 100 trees or so.