0.4111
Avg p-adic loss
2,317
Avg non-zero coefficients
10,000
Avg iterations
6,108
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 71)
- Optional: Mahler polynomial basis for non-linear transforms
Cross-validation Results
| Fold | Mean p-adic loss | Non-zero coeffs | Iterations | Test samples |
|---|---|---|---|---|
| Fold 0 | 0.3978 | 2,314 | 10,000 | 1,191 |
| Fold 1 | 0.3959 | 2,312 | 10,000 | 1,230 |
| Fold 2 | 0.4169 | 2,320 | 10,000 | 1,237 |
| Fold 3 | 0.4068 | 2,327 | 10,000 | 1,211 |
| Fold 4 | 0.4380 | 2,310 | 10,000 | 1,239 |