Tabular Prediction on TabReD (original temporal splits)
96.34HI AUCTabM
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| TabMMethod Type=Adaptive, Model Category=Deep Methods, Temporal Adaptation Strategy=Temporal Modulation2025.12 | 96.34 | 59.78 | 85.57 | 0.2415 | 0.4796 | 0.5533 | 0.1615 | 1.4813 | 3.625 | |
| TabMMethod Type=Adaptive, Model Category=Deep Methods, Temporal Adaptation Strategy=Temporal Embedding2025.12 | 96.16 | 59.51 | 85.48 | 0.2469 | 0.4795 | 0.5528 | 0.1615 | 1.4788 | 4.25 | |
| CatBoostMethod Type=Static, Model Category=Classical Baselines2025.12 | 96.12 | 56.71 | 85.88 | 0.2469 | 0.4824 | 0.5464 | 0.1619 | 1.4715 | 7 | |
| XGBoostMethod Type=Static, Model Category=Classical Baselines2025.12 | 96.09 | 57.64 | 86.27 | 0.2475 | 0.4823 | 0.5459 | 0.1616 | 1.4699 | 5.625 | |
| LightGBMMethod Type=Static, Model Category=Classical Baselines2025.12 | 96 | 56.33 | 85.8 | 0.2452 | 0.4826 | 0.5474 | 0.1618 | 1.4723 | 7.375 | |
| MLP-PLRMethod Type=Adaptive, Model Category=Deep Methods, Temporal Adaptation Strategy=Temporal Embedding2025.12 | 95.93 | 58.07 | 84.72 | 0.2356 | 0.4796 | 0.5548 | 0.1617 | 1.5137 | 6.75 | |
| MLP-PLRMethod Type=Static, Model Category=Deep Methods2025.12 | 95.92 | 58.16 | 84.48 | 0.2412 | 0.4811 | 0.5533 | 0.1616 | 1.5185 | 7.25 | |
| TabMMethod Type=Static, Model Category=Deep Methods2025.12 | 95.9 | 59.52 | 85.49 | 0.2465 | 0.4799 | 0.5522 | 0.161 | 1.4852 | 4.625 | |
| MLP-PLRMethod Type=Adaptive, Model Category=Deep Methods, Temporal Adaptation Strategy=Temporal Modulation2025.12 | 95.76 | 58.24 | 84.34 | 0.2353 | 0.4805 | 0.5605 | 0.1616 | 1.5188 | 8.625 | |
| ModernNCAMethod Type=Static, Model Category=Deep Methods2025.12 | 95.71 | 57.12 | 84.87 | 0.2526 | 0.4817 | 0.5523 | 0.1631 | 1.4977 | 10 | |
| FT-TMethod Type=Static, Model Category=Deep Methods2025.12 | 95.62 | 57.91 | 53.01 | 0.26 | 0.4814 | 0.5534 | 0.1627 | 1.5155 | 11.125 | |
| MLPMethod Type=Adaptive, Model Category=Deep Methods, Temporal Adaptation Strategy=Temporal Modulation2025.12 | 95.38 | 58.32 | 47.53 | 0.2658 | 0.4811 | 0.5587 | 0.1623 | 1.5157 | 11.25 | |
| RandomForestMethod Type=Static, Model Category=Classical Baselines2025.12 | 95.37 | 57.55 | 79.71 | 0.2623 | 0.487 | 0.5565 | 0.1653 | 1.5839 | 14 | |
| TabRMethod Type=Static, Model Category=Deep Methods2025.12 | 95.27 | 57.27 | 84.42 | 0.2676 | 0.4818 | 0.5557 | 0.1625 | 1.4782 | 11.625 | |
| MLPMethod Type=Static, Model Category=Deep Methods2025.12 | 94.04 | 58.66 | 47.3 | 0.2802 | 0.482 | 0.5526 | 0.1624 | 1.5331 | 12.125 | |
| MLPMethod Type=Adaptive, Model Category=Deep Methods, Temporal Adaptation Strategy=Temporal Embedding2025.12 | 93.99 | 58.77 | 47.4 | 0.2795 | 0.4815 | 0.5589 | 0.1625 | 1.5363 | 13 | |
| LinearMethod Type=Static, Model Category=Classical Baselines2025.12 | 93.88 | 57.31 | 81.74 | 0.256 | 0.4879 | 0.5587 | 0.1744 | 1.7465 | 14.75 |