Binary Classification on OpenML 16 binary v2 (70/30 train test)
86.3AccuracyTabPFN public v2
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TabPFN public v2Prior / correction=–2026.05 | 86.3 | 0.294 | 88.7 | — | |
| AFIN FlowPrior / correction=Standard + SNIS, proposal samples=4096, decoder=flow2026.05 | 85.7 | 0.397 | 82.7 | 6 |