Pancreas (by batch)
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) | 0.95 | 0.96 | 0.95 | 0.96 | 0.95 | 0.94 | 0.93 | 2.30 | 3.05 | 704.80 | 1990 | v1.1.3 | |
2 | Logistic regression (log CP10k) | 0.92 | 0.97 | 0.96 | 0.97 | 0.96 | 0.86 | 0.85 | 2.30 | 4.28 | 374.30 | 2013 | v1.1.3 | |
3 | XGBoost (log CP10k) | 0.91 | 0.94 | 0.92 | 0.94 | 0.92 | 0.91 | 0.90 | 2.70 | 11.87 | 294.10 | 2016 | v1.6.2 | |
4 | Seurat reference mapping (SCTransform) | 0.91 | 0.96 | 0.95 | 0.96 | 0.95 | 0.85 | 0.84 | 445.50 | 13.77 | 125.40 | 2021 | v4.3.0 | |
5 | Multilayer perceptron (log scran) | 0.87 | 0.95 | 0.94 | 0.95 | 0.94 | 0.76 | 0.74 | 8.30 | 12.12 | 936.00 | 1990 | v1.1.3 | |
6 | XGBoost (log scran) | 0.87 | 0.93 | 0.92 | 0.93 | 0.92 | 0.79 | 0.77 | 8.50 | 12.03 | 328.40 | 2016 | v1.6.2 | |
7 | scANVI (All genes) | 0.84 | 0.96 | 0.95 | 0.96 | 0.94 | 0.66 | 0.64 | 4.50 | 43.48 | 2,440.00 | 2021 | v0.20.0 | |
8 | scANVI (Seurat v3 2000 HVG) | 0.84 | 0.96 | 0.95 | 0.96 | 0.95 | 0.66 | 0.63 | 6.90 | 32.87 | 2,380.40 | 2021 | v0.20.0 | |
9 | scArches+scANVI (All genes) | 0.83 | 0.95 | 0.94 | 0.95 | 0.94 | 0.65 | 0.62 | 5.80 | 24.17 | 2,612.90 | 2021 | v0.20.0 | |
10 | K-neighbors classifier (log CP10k) | 0.82 | 0.88 | 0.84 | 0.88 | 0.84 | 0.79 | 0.77 | 2.30 | 2.75 | 298.10 | 1967 | v1.1.3 | |
11 | Logistic regression (log scran) | 0.81 | 0.94 | 0.92 | 0.94 | 0.92 | 0.63 | 0.60 | 8.50 | 16.78 | 131.20 | 2013 | v1.1.3 | |
12 | scArches+scANVI (Seurat v3 2000 HVG) | 0.78 | 0.95 | 0.94 | 0.94 | 0.93 | 0.52 | 0.48 | 4.00 | 21.87 | 1,358.50 | 2021 | v0.20.0 | |
13 | K-neighbors classifier (log scran) | 0.72 | 0.84 | 0.80 | 0.84 | 0.80 | 0.58 | 0.55 | 8.30 | 8.77 | 118.70 | 1967 | v1.1.3 | |
14 | Majority Vote | 0.04 | 0.35 | 0.19 | 0.18 | -0.03 | 0.04 | -0.03 | 0.69 | 1.08 | 19.90 | 2022 | v0.7.0 |