Maybe it's an instance of "when all you have is a hammer...", because I'm learning about it right now, but you could look into transfer learning - you train a M

Maybe it's an instance of "when all you have is a hammer...", because I'm learning about it right now, but you could look into transfer learning - you train a ML model in a similar, easier task, and then you tweak it with your data. That said, there's a good chance that your current algorithm is all you will ever need - many times a ML project is too much, and you already have good results.