yelp-14 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 yelp-14.
Accuracy is the reported evaluation metric for yelp-14. 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 | KD-LSTMreg | verified | 69.4 | 2019 | Paper ↗Code ↗ | Looks wrong? |