Machine Learning Efficiency on Mixed Tabular Datasets (Adult, Default, Shoppers, Magic, Beijing, News)
92.7AUC (Adult)
Real
Updated 2mo ago
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
2026.05 | 92.7 | 77 | 92.6 | 94.6 | 0.423 | 0.842 | 0 | |
2026.05 | 91.3 | 75.5 | 90.2 | 88.8 | 0.653 | - | 13.3 | |
2026.05 | 91.1 | 76 | 91.3 | 94.2 | 0.663 | 0.82 | 10.7 | |
2026.05 | 91 | 74 | 91.3 | 93.9 | 0.642 | 2.24 | 37.61 | |
2026.05 | 90.7 | 75.8 | 91.8 | 93.5 | 0.592 | 4.86 | 9.14 | |
2026.05 | 90.6 | 75.2 | 91.4 | 93.4 | 0.656 | 0.871 | 10.9 | |
2026.05 | 90.6 | 74.5 | 91.7 | 93.4 | 0.675 | 0.869 | 11.76 | |
2026.05 | 90.1 | 76.3 | 91.2 | 93.9 | 0.667 | 0.921 | 12.18 | |
2026.05 | 90.1 | 73 | 91.3 | 93.1 | 0.756 | 1.167 | 21.39 | |
2026.05 | 89.9 | 74.1 | 91.1 | 93.4 | 0.593 | 0.897 | 9.39 | |
2026.05 | 89.8 | 73.3 | 90.1 | 93.2 | 0.683 | 0.865 | 12.72 | |
2026.05 | 89.6 | 73.3 | 87.4 | 91.2 | 0.777 | 1.037 | 20.7 | |
2026.05 | 89 | 74.7 | 87.1 | 91.3 | 0.649 | 0.86 | 11.2 | |
2026.05 | 89 | 74.2 | 91.3 | 92.4 | 0.695 | 0.878 | 13.32 | |
2026.05 | 88.6 | 69.6 | 87.5 | 85.5 | 0.902 | 0.88 | 24.5 | |
2026.05 | 88.3 | 73 | 91.1 | 92.9 | 0.713 | 0.881 | 14.42 | |
2026.05 | 88.1 | 71.2 | 91.9 | 92.8 | 0.744 | 0.877 | 15.86 | |
2026.05 | 87.8 | 72.4 | 87.1 | 88.7 | 0.77 | 1.01 | 20.9 | |
2026.05 | 87.1 | 52.5 | 86.5 | 93.2 | 0.818 | 1.21 | 30.5 | |
2026.05 | 77.8 | 58.4 | 65.8 | 65.4 | 1.09 | 0.877 | 43.6 |