COVID-19 outcome prediction on AIforCOVID 1.0 (Leave-One-Center-Out)
77.86AccuracyJLF-C-1
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JLF-C-1Type=Joint-Late Fusion, Variant=C-12022.04 | 77.86 | 79.95 | 75.95 | |
| JLF-S-1Type=Joint-Late Fusion, Variant=S-12022.04 | 77.39 | 80 | 75.52 | |
| JLF-C-2Type=Joint-Late Fusion, Variant=C-22022.04 | 77.3 | 79.06 | 75.88 | |
| JLF-S-2Type=Joint-Late Fusion, Variant=S-22022.04 | 77.16 | 79.98 | 75.89 | |
| LF-MV2022.04 | 75.48 | 77.98 | 73.82 | |
| HC*2022.04 | 75.2 | 71.1 | 82.4 | |
| LF-D-12022.04 | 74.67 | 76.6 | 72.94 | |
| LF-P-12022.04 | 74.65 | 76.67 | 72.96 | |
| LF-P-22022.04 | 74.6 | 76.58 | 72.88 | |
| LF-D-22022.04 | 74.58 | 76.49 | 72.87 | |
| HYB*2022.04 | 74.3 | 76.9 | 68.5 | |
| JF-M2022.04 | 71.37 | 74.59 | 70.47 | |
| ETE*2022.04 | 70.9 | 73.4 | 69.6 | |
| JF-C2022.04 | 70.35 | 71.04 | 67.95 |