0.4090
Avg p-adic loss
3,162
Avg non-zero coefficients
10,000
Avg iterations
7,690
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 | 0.4162 | 3,142 | 10,000 | 1,530 |
| Fold 1 | 0.4186 | 3,164 | 10,000 | 1,585 |
| Fold 2 | 0.3949 | 3,189 | 10,000 | 1,531 |
| Fold 3 | 0.4130 | 3,158 | 10,000 | 1,539 |
| Fold 4 | 0.4021 | 3,155 | 10,000 | 1,505 |