COVID-19 outcome prediction on AIforCOVID EV 1.0 (val)
77.9AccuracyJLF-S-1
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JLF-S-1Type=Joint-Late Fusion, Variant=S-12022.04 | 77.9 | 78.7 | 75.96 | |
| JLF-C-1Type=Joint-Late Fusion, Variant=C-12022.04 | 77.61 | 79.18 | 75.38 | |
| JLF-C-2Type=Joint-Late Fusion, Variant=C-22022.04 | 76.82 | 79.5 | 74.23 | |
| JLF-S-2Type=Joint-Late Fusion, Variant=S-22022.04 | 76.54 | 79.97 | 74.73 | |
| LF-MV2022.04 | 74.88 | 77.64 | 73.15 | |
| LF-P-12022.04 | 73.85 | 76.56 | 72.06 | |
| LF-D-12022.04 | 73.8 | 76.55 | 72.09 | |
| LF-P-22022.04 | 73.74 | 76.53 | 72 | |
| LF-D-22022.04 | 73.71 | 76.39 | 72 | |
| JF-C2022.04 | 72.47 | 78.76 | 68.24 | |
| JF-M2022.04 | 71.64 | 75.06 | 69.9 |