Stacking Classification Model

Hello I'm working on a binary classification model.

I'm trying to improve the performance using a stacking model with RF, Deep Learning and Gradient Boosted Tree.  

How can I choose the best algorithm for the aggregation's level? Is there a best practice? (Now I'm using RF)