Semi-supervised Tabular Classification on OpenML 11 (various)
46.8Min Accuracy
Best Regular
Updated 1mo ago
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
2026.04 | 46.8 | 81.8 | 18.9 | 93.1 | - | |
2026.04 | 44.1 | 81.8 | 22 | 94.3 | 6 | |
2026.04 | 41.4 | 80.6 | 22.9 | 94.2 | 6 | |
2026.04 | 40.1 | 80.9 | 25.3 | 94 | - | |
2026.04 | 38.7 | 67 | 25.6 | 91.3 | 11 | |
2026.04 | 38.4 | 74.7 | 21.1 | 92.3 | - | |
2026.04 | 37.4 | 67.6 | 24.1 | 87.3 | 11 | |
2026.04 | 37.4 | 74.4 | 26.7 | 93.3 | 9 | |
2026.04 | 36.7 | 73.5 | 24.7 | 91.1 | - | |
2026.04 | 35.7 | 72.8 | 28.2 | 92.6 | 6 | |
2026.04 | 35.4 | 75.6 | 23 | 92.3 | - | |
2026.04 | 32.7 | 54.8 | 19.4 | 78.2 | - | |
2026.04 | 32.3 | 45.2 | 25.8 | 75 | - | |
2026.04 | 32.3 | 67.7 | 33.5 | 90.3 | - | |
2026.04 | 31.6 | 47.3 | 17.3 | 67.8 | - | |
2026.04 | 30.1 | 65.1 | 23.3 | 88 | - | |
2026.04 | 29.6 | 62.8 | 23.7 | 89.6 | - | |
2026.04 | 29.3 | 48.7 | 17.3 | 72.8 | - | |
2026.04 | 10.2 | 25.7 | 23.2 | 51.9 | - | |
2026.04 | 9.1 | 12.7 | 24.4 | 51.9 | - | |
2026.04 | 9.1 | 16 | 25 | 51.9 | - |