From: Splitting chemical structure data sets for federated privacy-preserving machine learning
Hidden | Dropout | Weight | Rank | Rank | Rank |
---|---|---|---|---|---|
Sizes | Â | Decay | Sphere exclusion | Scaffold network | LSH |
[2000] | 0.7 | 1E−6 | 2 | 1 | 8 |
[2000] | 0.6 | 1E−6 | 8 | 6 | 5 |
[1600] | 0.7 | 1E−6 | 3 | 2 | 2 |
[1200] | 0.5 | 1E−6 | 11 | 13 | 7 |
[1200] | 0.6 | 1E−6 | 9 | 10 | 4 |
[3000] | 0.7 | 1E−6 | 5 | 4 | 6 |
[1200] | 0.7 | 1E−6 | 1 | 3 | 1 |
[1600] | 0.6 | 1E−6 | 6 | 9 | 3 |
[3000] | 0.6 | 1E−6 | 7 | 8 | 11 |
[1600] | 0.5 | 1E-6 | 4 | 11 | 10 |