imdb-m 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 imdb-m.
Accuracy is the reported evaluation metric for imdb-m. 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 | Document Classification Using Importance of Sentences | verified | 54.8 | 2021 | Paper ↗ | Looks wrong? |
| 02 | LSTM-reg (single model) | verified | 52.8 | 2019 | Paper ↗Code ↗ | Looks wrong? |