0.4143
Avg p-adic loss
2,710
Avg non-zero coefficients
13,813
Avg iterations
4,580
Total test samples
Method Description
This model implements Zubarev's p-adic polynomial regression method from arXiv:2503.23488. Key features:
- Initialization: Starts from all zeros
- Optimization: Simulated annealing with temperature-controlled random walk
- Perturbations: P-adic-aware (prefers powers of 79)
- Optional: Mahler polynomial basis for non-linear transforms
Cross-validation Results
| Fold | Mean p-adic loss | Non-zero coeffs | Iterations | Test samples |
|---|---|---|---|---|
| Fold 0 | 0.3987 | 2,746 | 13,813 | 884 |
| Fold 1 | 0.4142 | 2,687 | 13,813 | 959 |
| Fold 2 | 0.4295 | 2,666 | 13,813 | 918 |
| Fold 3 | 0.4235 | 2,758 | 13,813 | 918 |
| Fold 4 | 0.4057 | 2,694 | 13,813 | 901 |