Pancreas (random split)
Raw
Scaled
Rank | Name | Mean score | Accuracy | Accuracy | F1 score | F1 score | Macro F1 score | Macro F1 score | Memory (GB) | Runtime (min) | CPU (%) | Paper | Year | Library |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Multilayer perceptron (log CP10k) | 0.97 | 0.99 | 0.98 | 0.99 | 0.98 | 0.96 | 0.96 | 2.20 | 8.25 | 518.40 | 1990 | v1.1.3 | |
2 | Logistic regression (log CP10k) | 0.97 | 0.99 | 0.98 | 0.99 | 0.98 | 0.96 | 0.95 | 2.20 | 2.83 | 469.60 | 2013 | v1.1.3 | |
3 | XGBoost (log CP10k) | 0.96 | 0.98 | 0.97 | 0.98 | 0.97 | 0.95 | 0.95 | 2.60 | 12.42 | 316.90 | 2016 | v1.6.2 | |
4 | Multilayer perceptron (log scran) | 0.95 | 0.98 | 0.98 | 0.98 | 0.98 | 0.91 | 0.91 | 8.50 | 22.07 | 1,000.00 | 1990 | v1.1.3 | |
5 | Seurat reference mapping (SCTransform) | 0.95 | 0.98 | 0.97 | 0.98 | 0.97 | 0.90 | 0.89 | 170.60 | 15.63 | 120.80 | 2021 | v4.3.0 | |
6 | K-neighbors classifier (log CP10k) | 0.94 | 0.96 | 0.95 | 0.96 | 0.95 | 0.92 | 0.92 | 2.30 | 3.13 | 264.80 | 1967 | v1.1.3 | |
7 | XGBoost (log scran) | 0.94 | 0.97 | 0.96 | 0.97 | 0.96 | 0.91 | 0.90 | 8.50 | 19.72 | 291.50 | 2016 | v1.6.2 | |
8 | scANVI (Seurat v3 2000 HVG) | 0.87 | 0.98 | 0.97 | 0.97 | 0.97 | 0.69 | 0.67 | 2.30 | 18.20 | 643.90 | 2021 | v0.20.0 | |
9 | K-neighbors classifier (log scran) | 0.86 | 0.95 | 0.94 | 0.95 | 0.94 | 0.72 | 0.70 | 8.50 | 8.97 | 122.20 | 1967 | v1.1.3 | |
10 | scANVI (All genes) | 0.83 | 0.97 | 0.96 | 0.96 | 0.95 | 0.60 | 0.57 | 4.40 | 49.28 | 1,512.30 | 2021 | v0.20.0 | |
11 | Logistic regression (log scran) | 0.81 | 0.95 | 0.93 | 0.94 | 0.93 | 0.61 | 0.58 | 8.30 | 17.17 | 130.60 | 2013 | v1.1.3 | |
12 | scArches+scANVI (Seurat v3 2000 HVG) | 0.79 | 0.96 | 0.95 | 0.95 | 0.93 | 0.54 | 0.50 | 3.70 | 24.72 | 1,223.00 | 2021 | v0.20.0 | |
13 | scArches+scANVI (All genes) | 0.79 | 0.96 | 0.94 | 0.95 | 0.93 | 0.53 | 0.50 | 5.60 | 26.25 | 2,670.80 | 2021 | v0.20.0 | |
14 | Majority Vote | 0.04 | 0.35 | 0.18 | 0.18 | -0.04 | 0.04 | -0.03 | 0.24 | 1.78 | 11.80 | 2022 | v0.7.0 |