Tabular Classification on OpenML CC18
87.8Mean AccuracyTabPFN v2
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TabPFN v2Datasets=662025.07 | 87.8 | 82.2 | 82.3 | — | |
| TabPFNv2Domain=Tabular, Embeddings=TabPFNv2, Size (K)=1552025.07 | 87.8 | — | — | 0.2 | |
| CatBoostDatasets=702025.07 | 87 | 81.5 | 81.8 | — | |
| Random ForestDatasets=702025.07 | 86.5 | 80.3 | 81 | — | |
| Gradient BoostingDatasets=702025.07 | 85.4 | 79.5 | 79.9 | — | |
| MARVISDatasets=692025.07 | 84.5 | 80.2 | 79.9 | — | |
| MARVISDomain=Tabular, Embeddings=TabPFNv2, Size (K)=1552025.07 | 84.5 | — | — | 0.2 | |
| Logistic Reg.Datasets=702025.07 | 82.5 | 74.8 | 75 | — | |
| TabLLM (Gemini)Datasets=692025.07 | 50.1 | 44.3 | 40.2 | — | |
| TabLLMDomain=Tabular, Embeddings=TabPFNv2, Size (K)=1552025.07 | 50.1 | — | — | 0.2 | |
| TabLLM (Qwen)Datasets=692025.07 | 42.9 | 36.5 | 30.9 | — | |
| JOLTDatasets=672025.07 | 41 | 33.9 | 27.3 | — |