0.4072
Avg p-adic loss
2,925
Avg non-zero coefficients
10,000
Avg iterations
10,935
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 | 0.3945 | 2,925 | 10,000 | 2,177 |
| Fold 1 | 0.4146 | 2,955 | 10,000 | 2,153 |
| Fold 2 | 0.4280 | 2,916 | 10,000 | 2,220 |
| Fold 3 | 0.4006 | 2,917 | 10,000 | 2,181 |
| Fold 4 | 0.3983 | 2,914 | 10,000 | 2,204 |