I am a begginer in Matlab machine learning toolbox.
I applied both methods, regression learner app and fit functions for my dataset.
For example, from regression learner app, I selected ensemble boosted tree. The results were similar to the fitrensemble fuction when I used 'OptimizeHyperparameters','auto'.
Now, I have this question in my mind, what is the difference between these two methods, if we can get the same results?
Is there any way to improve the optimization of the results?
Appreciate for any comments.