Benchmarks
45 benchmarks in 8 domains
Single-cell
Protocol
4 models
| # | Model ↕ | Mean rank ▲ | Coverage ↕ | Cell type annotation (macro F1) ↕ | Single-cell batch integration (scIB) ↕ |
|---|---|---|---|---|---|
| 1 | single-cell/scgpt overlap | 0.33 | 2/2 | 0.688 (1) * | 0.553 (3) * |
| 2 | single-cell/uce overlap | 0.42 | 2/2 | 0.688 (2) * | 0.557 (2) * |
| 3 | single-cell/geneformer | 1.00 | 2/2 | 0.562 (3) | 0.549 (4) |
| Low coverage: below 2 of 2, or nothing to compare with. Listed, not ranked. | |||||
| — | single-cell/scimilarity overlap | 0.00 | 1/2 | · | 0.624 (1) * |
| Reference floors: trivial baselines on the same items, not hub models, unranked. | |||||
| — | hvg-pca-cells floor | 0.645 | 0.574 | ||
No model matches these filters.
Each cell is the model's value on that benchmark's board, with its rank there in brackets, as the benchmark's own leaderboard ranks it (its primary zero-shot metric, at its default version); hover for the 95% interval, n and source, click to open that board. A * marks a declared train/test overlap. Rows are ordered by mean normalised rank, (rank − 1) / (board size − 1) averaged over the benchmarks the model has a result on (a board of one entry does not count): ranks, never values, so no average mixes units. Filtering hides rows without re-ranking anyone.