Protein Design on GFP (test)
5.554Best ScoreQ-BioLat
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Q-BioLatTrain size=10000, Representation=PCA, Optimizer=GHC, Latent dim=642026.03 | 5.554 | 5.042 | |
| Q-BioLatTrain size=10000, Representation=Random, Optimizer=GHC, Latent dim=322026.03 | 4.806 | 3.829 | |
| Q-BioLatTrain size=5000, Representation=PCA, Optimizer=GHC, Latent dim=642026.03 | 4.27 | 3.972 | |
| Q-BioLatTrain size=1000, Representation=Random, Optimizer=GA, Latent dim=642026.03 | 4.17 | 3.312 | |
| Q-BioLatTrain size=1000, Representation=PCA, Optimizer=RS, Latent dim=642026.03 | 4.119 | 3.903 | |
| Q-BioLatTrain size=2000, Representation=PCA, Optimizer=GA, Latent dim=642026.03 | 4.027 | 3.549 | |
| Q-BioLatTrain size=5000, Representation=Random, Optimizer=GHC, Latent dim=322026.03 | 3.815 | 2.228 | |
| Q-BioLatTrain size=2000, Representation=Random, Optimizer=GHC, Latent dim=322026.03 | 3.448 | 2.693 |