0.4312
Avg p-adic loss
3,574
Avg non-zero coefficients
10,000
Avg iterations
13,272
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 | 0.4310 | 3,585 | 10,000 | 2,647 |
| Fold 1 | 0.4264 | 3,597 | 10,000 | 2,636 |
| Fold 2 | 0.4395 | 3,567 | 10,000 | 2,666 |
| Fold 3 | 0.4347 | 3,584 | 10,000 | 2,689 |
| Fold 4 | 0.4243 | 3,537 | 10,000 | 2,634 |