Regression on TREDBench 35 engineering datasets (70/30)
29Datasets CountFine-tuned TabPFN 2.5
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Fine-tuned TabPFN 2.5Baseline Comparison=vs. TabPFN 2.5, Train/test split=70/302026.03 | 29 | 82.9 | |
| Fine-tuned TabPFN 2.5Baseline Comparison=vs. AutoGluon, Train/test split=70/302026.03 | 27 | 77.1 |