How to select the optimal/best tree from the collection of trees generated by Random Forest?
I have a process that utilizes three random forest algorithms each using different parameters. I use the operator collect and compare models to select the best of the three learners. However, I would like to know which of the collection of trees was chosen by the random forest learner; hence I can use that tree to explain my finding. I know I can use simulation operator, prescriptive analytics, but I need the best tree from the collection of the random forest best learner. Can anyone give me a clue? Thank you