hoc is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for hoc.
F1 is the reported evaluation metric for hoc. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | BioLinkBERT (large) | verified | 88.1 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 02 | NCBI_BERT(large) (P) | verified | 87.3 | 2019 | Paper ↗Code ↗ | Looks wrong? |
| 03 | SciFive-large | verified | 86.08 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 04 | BioGPT | unverified | 85.12 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 05 | BioGPT-Large | unverified | 84.4 | 2022 | Paper ↗Code ↗ | Looks wrong? |
Micro F1 is the reported evaluation metric for hoc. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | BioGPT | verified | 85.12 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 02 | BioLinkBERT (large) | verified | 84.87 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 03 | PubMedBERT uncased | verified | 82.32 | 2020 | Paper ↗Code ↗ | Looks wrong? |