CeNGEN (random split)
CeNGEN (random split)
| Rank | F1 score | Macro F1 score | Accuracy | Memory (GB) | Runtime (min) | CPU (%) | Name | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|---|---|
| 14 | 0.01 | 0.00 | 0.05 | 1.00 | 0.81 | 22.40 | Majority Vote | v0.6.0 | 2022 | |
| 13 | 0.02 | 0.01 | 0.02 | 1.00 | 0.54 | 34.70 | Random Labels | v0.6.0 | 2022 | |
| 7 | 0.83 | 0.71 | 0.83 | 2.80 | 1.93 | 954.80 | K-neighbors classifier (log CPM) | v1.1.2 | 1967 | |
| 4 | 0.85 | 0.76 | 0.86 | 1.70 | 30.73 | 557.70 | Multilayer perceptron (log CPM) | v1.1.2 | 1990 | |
| 3 | 0.85 | 0.80 | 0.85 | 1.90 | 14.53 | 2,034.80 | XGBoost (log CPM) | v1.6.2 | 2016 | |
| 1 | 0.89 | 0.81 | 0.89 | 1.90 | 48.57 | 941.60 | Logistic regression (log CPM) | v1.1.2 | 2013 | |
| 6 | 0.84 | 0.75 | 0.84 | 7.50 | 35.73 | 104.30 | K-neighbors classifier (log scran) | v1.1.2 | 1967 | |
| 8 | 0.82 | 0.76 | 0.82 | 7.10 | 52.98 | 688.10 | XGBoost (log scran) | v1.6.2 | 2016 | |
| 5 | 0.84 | 0.78 | 0.83 | 7.50 | 61.62 | 612.00 | Logistic regression (log scran) | v1.1.2 | 2013 | |
| 2 | 0.88 | 0.81 | 0.87 | 7.50 | 112.97 | 1,294.90 | Multilayer perceptron (log scran) | v1.1.2 | 1990 | |
| 10 | 0.54 | 0.22 | 0.62 | 4.40 | 49.12 | 1,437.10 | scANVI (Seurat v3 2000 HVG) | v0.17.1 | 2021 | |
| 11 | 0.29 | 0.08 | 0.42 | 10.70 | 225.40 | 1,612.20 | scArches+scANVI (All genes) | v0.17.2 | 2021 | |
| 12 | 0.25 | 0.07 | 0.39 | 4.50 | 319.45 | 1,325.40 | scArches+scANVI (Seurat v3 2000 HVG) | v0.17.2 | 2021 | |
| 9 | 0.56 | 0.23 | 0.66 | 9.90 | 144.85 | 1,633.00 | scANVI (All genes) | v0.17.2 | 2021 |