MIST + Neuraldecipher
Reported on 6 benchmarks across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Miscellaneous6 results
- Top-1 Accuracy· uses extra data0best: 2.3 (DiffMS)
- Top-1 MCES· uses extra data33.19best: 79.39 (SMILES Transformer)
- Top-1 Tanimoto· uses extra data0.14best: 0.28 (DiffMS)
- Top-10 Accuracy· uses extra data0best: 4.25 (DiffMS)
- Top-10 MCES· uses extra data31.89best: 52.13 (SMILES Transformer)
- Top-10 Tanimoto· uses extra data0.16best: 0.39 (DiffMS)