[Basic question] why amino acids are used in machine learning for gene prediction

[ssshan]

Dear all，

I'm a student who is interested in machine learning with gene prediction. I noticed that most papers would pick dimers (2 amino acids) as a key feature to train positive and negative data sets during gene prediction. However, I don't know why dimers is the only or best option. Anyone could help?

Thanks in advance!