I'm about to use Random Forest (Bagged Trees) in the classification learner app to train a set of 350 observations with 27 features.
I'm not a machine learning expert, and so far I understand that RF requires two inputs: - Number of decision trees, and - Number of predictor variables.
However in the app I have two other inputs: - Max number of splits and - Number of learners.
I need help understanding (in simple terms whenever possible) what this two last inputs are so I can set them properly in my training process.
Thanks in advance for any help.