0.4302
Avg p-adic loss
3,643
Avg non-zero coefficients
10,000
Avg iterations
13,559
Total test samples
Method Description
This model implements Zubarev's p-adic polynomial regression method from arXiv:2503.23488. Key features:
- Initialization: Starts from UMLLR greedy coefficients
- 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 | 0.4341 | 3,653 | 10,000 | 2,731 |
| Fold 1 | 0.4248 | 3,671 | 10,000 | 2,662 |
| Fold 2 | 0.4310 | 3,661 | 10,000 | 2,702 |
| Fold 3 | 0.4312 | 3,607 | 10,000 | 2,741 |
| Fold 4 | 0.4300 | 3,623 | 10,000 | 2,723 |