Regression on TALENT 100 datasets
4.7RankxRFM
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| xRFM2025.08 | 4.7 | 0.311 | 3.6 | 20 | 56 | 69 | 84 | 0.311 | |
| TabPFN-v22025.08 | 6.55 | 0.323 | 6.7 | 20 | 45 | 57 | 72 | 0.323 | |
| CatBoost2025.08 | 7.79 | 0.336 | 5.3 | 7 | 24 | 41 | 68 | 0.336 | |
| RealMLP2025.08 | 8.2 | 0.329 | 7.6 | 8 | 21 | 37 | 60 | 0.329 | |
| ModernNCA2025.08 | 9.39 | 0.365 | 9.7 | 14 | 30 | 38 | 57 | 0.365 | |
| LightGBM2025.08 | 9.91 | 0.353 | 6.2 | 6 | 16 | 34 | 52 | 0.353 | |
| XGBoost2025.08 | 10.6 | 0.355 | 7.1 | 2 | 12 | 32 | 47 | 0.355 | |
| TabR2025.08 | 10.7 | 0.365 | 13.3 | 5 | 20 | 34 | 46 | 0.365 | |
| FTT2025.08 | 12 | 0.388 | 14.9 | 3 | 11 | 17 | 33 | 0.388 | |
| Laplace KRR2025.08 | 12.3 | 0.373 | 10.2 | 3 | 11 | 21 | 35 | 0.373 | |
| MLP-PLR2025.08 | 12.7 | 0.381 | 14.2 | 0 | 8 | 15 | 34 | 0.381 | |
| Excelformer2025.08 | 12.7 | 0.399 | 15.7 | 0 | 2 | 9 | 28 | 0.399 | |
| PTARL2025.08 | 13.1 | 0.39 | 11.4 | 2 | 6 | 9 | 20 | 0.39 | |
| RandomForest2025.08 | 13.3 | 0.389 | 8.8 | 5 | 12 | 22 | 35 | 0.389 | |
| AutoInt2025.08 | 14.3 | 0.399 | 15.8 | 1 | 2 | 6 | 12 | 0.399 | |
| Node2025.08 | 14.4 | 0.451 | 19.5 | 0 | 6 | 18 | 31 | 0.451 | |
| MLP2025.08 | 15.2 | 0.418 | 16.7 | 1 | 3 | 4 | 11 | 0.418 | |
| DCN22025.08 | 15.3 | 0.473 | 22.7 | 0 | 2 | 10 | 20 | 0.473 | |
| ResNet2025.08 | 15.6 | 0.426 | 17.5 | 0 | 4 | 8 | 15 | 0.426 | |
| Tangos2025.08 | 16.3 | 0.432 | 17.3 | 0 | 1 | 4 | 9 | 0.432 | |
| SNN2025.08 | 17.2 | 0.419 | 17.4 | 0 | 2 | 4 | 8 | 0.419 | |
| kNN2025.08 | 19.1 | 0.459 | 19 | 2 | 4 | 4 | 11 | 0.459 | |
| TabNet2025.08 | 21.5 | 0.475 | 22.7 | 0 | 0 | 0 | 0 | 0.475 | |
| GrowNet2025.08 | 23 | 0.619 | 32.3 | 0 | 0 | 0 | 0 | 0.619 | |
| SVM2025.08 | 23.2 | 0.612 | 34.6 | 0 | 0 | 1 | 1 | 0.612 | |
| TabTransformer2025.08 | 26.4 | 1.07 | 75 | 1 | 1 | 2 | 3 | 1.07 | |
| SwitchTab2025.08 | 26.9 | 1.29 | 74.5 | 0 | 0 | 0 | 1 | 1.29 | |
| Danets2025.08 | 27.2 | 1.12 | 83 | 0 | 1 | 1 | 3 | 1.12 |