I'm currently finalizing my master's thesis and am working on the discussion and limitations part.
I did some relatively standard statistical tests on my data, which gave promising results. My supervisor suggested trying some machine learning to create a predictive model. While I did take a basic machine learning course during my master's, I am by no means an expert in this area.
Now, my machine learning model performed pretty okay. But, since I only know some basic machine learning, I'm sure better results might be achieved with other machine learning methods I have not tried due to lack of expertise. Is it appropriate to mention this lack of expertise as a reason why I did not try to further improve these models?
Note: I tried 2 different ML methods/algorithms, which were suggested by another member of staff.