0.4273
Avg p-adic loss
3,414
Avg non-zero coefficients
10,000
Avg iterations
13,609
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 | 0.4471 | 3,426 | 10,000 | 2,725 |
| Fold 1 | 0.4169 | 3,430 | 10,000 | 2,725 |
| Fold 2 | 0.4250 | 3,399 | 10,000 | 2,682 |
| Fold 3 | 0.4294 | 3,424 | 10,000 | 2,744 |
| Fold 4 | 0.4179 | 3,392 | 10,000 | 2,733 |