Zebrafish (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 | Seurat reference mapping (SCTransform) | 0.80 | 0.85 | 0.84 | 0.85 | 0.83 | 0.73 | 0.72 | 111.20 | 14.60 | 116.80 | 2021 | v4.3.0 | |
2 | Logistic regression (log scran) | 0.79 | 0.85 | 0.83 | 0.85 | 0.83 | 0.72 | 0.71 | 5.00 | 23.02 | 188.20 | 2013 | v1.1.3 | |
3 | Logistic regression (log CP10k) | 0.79 | 0.85 | 0.83 | 0.84 | 0.83 | 0.72 | 0.71 | 1.60 | 3.03 | 409.20 | 2013 | v1.1.3 | |
4 | Multilayer perceptron (log scran) | 0.79 | 0.85 | 0.83 | 0.84 | 0.83 | 0.71 | 0.70 | 5.00 | 19.50 | 621.50 | 1990 | v1.1.3 | |
5 | Multilayer perceptron (log CP10k) | 0.78 | 0.84 | 0.82 | 0.84 | 0.82 | 0.71 | 0.70 | 1.60 | 28.47 | 792.40 | 1990 | v1.1.3 | |
6 | XGBoost (log CP10k) | 0.74 | 0.80 | 0.79 | 0.80 | 0.78 | 0.68 | 0.67 | 1.90 | 3.75 | 1,678.70 | 2016 | v1.6.2 | |
7 | K-neighbors classifier (log CP10k) | 0.73 | 0.81 | 0.80 | 0.81 | 0.79 | 0.63 | 0.62 | 2.10 | 1.77 | 279.90 | 1967 | v1.1.3 | |
8 | K-neighbors classifier (log scran) | 0.73 | 0.80 | 0.78 | 0.80 | 0.78 | 0.65 | 0.63 | 5.00 | 11.05 | 119.50 | 1967 | v1.1.3 | |
9 | XGBoost (log scran) | 0.71 | 0.78 | 0.76 | 0.78 | 0.75 | 0.64 | 0.63 | 5.50 | 17.65 | 587.50 | 2016 | v1.6.2 | |
10 | scANVI (Seurat v3 2000 HVG) | 0.67 | 0.80 | 0.78 | 0.76 | 0.73 | 0.51 | 0.48 | 7.40 | 161.82 | 1,769.00 | 2021 | v0.20.0 | |
11 | scANVI (All genes) | 0.63 | 0.77 | 0.75 | 0.72 | 0.69 | 0.47 | 0.45 | 5.10 | 75.07 | 2,704.20 | 2021 | v0.20.0 | |
12 | scArches+scANVI (All genes) | 0.46 | 0.64 | 0.60 | 0.55 | 0.50 | 0.32 | 0.29 | 6.20 | 70.45 | 2,713.40 | 2021 | v0.20.0 | |
13 | scArches+scANVI (Seurat v3 2000 HVG) | 0.45 | 0.64 | 0.61 | 0.54 | 0.49 | 0.28 | 0.25 | 7.20 | 51.68 | 2,383.70 | 2021 | v0.20.0 | |
14 | Majority Vote | 0.01 | 0.18 | 0.10 | 0.05 | -0.04 | 0.01 | -0.03 | 1.02 | 2.32 | 8.80 | 2022 | v0.7.0 |