Notably, models utilizing embedding vectors to represent protein sequences did not rank among the top ten, indicating that this method may be less effective compared to traditional protein descriptors. The occasional top-ten ranking of models using one-hot encoding of protein names further implies that primary protein sequence information has minimal impact on model quality.