COVID-19 Outcome Prediction on AIforCOVID 1.0 (Cross-Validation)
79.75AccuracyJLF-C-1
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JLF-C-1Type=Joint-Late Fusion, Variant=C-12022.04 | 79.75 | 82.47 | 76.81 | |
| JLF-C-2Type=Joint-Late Fusion, Variant=C-22022.04 | 79.63 | 80.99 | 78.9 | |
| JLF-S-1Type=Joint-Late Fusion, Variant=S-12022.04 | 79.63 | 82.47 | 76.67 | |
| JLF-S-2Type=Joint-Late Fusion, Variant=S-22022.04 | 79.39 | 81.43 | 76.69 | |
| LF-MV2022.04 | 78.41 | 80.09 | 76.24 | |
| LF-D-12022.04 | 77.4 | 79.95 | 75.22 | |
| LF-P-12022.04 | 77.38 | 79.87 | 75.18 | |
| LF-P-22022.04 | 77.37 | 79.78 | 75.11 | |
| LF-D-22022.04 | 77.34 | 79.9 | 75.2 | |
| HYB*2022.04 | 76.9 | 78.8 | 74.7 | |
| HC*2022.04 | 75.5 | 75.8 | 75.3 | |
| JF-M2022.04 | 75 | 78.3 | 71.47 | |
| ETE*2022.04 | 74.8 | 74.5 | 75.1 | |
| JF-C2022.04 | 72.8 | 76.62 | 68.62 |