0.4273
Avg p-adic loss
2,901
Avg non-zero coefficients
10,000
Avg iterations
9,110
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 | 0.4261 | 2,883 | 10,000 | 1,795 |
| Fold 1 | 0.4275 | 2,928 | 10,000 | 1,808 |
| Fold 2 | 0.4178 | 2,876 | 10,000 | 1,827 |
| Fold 3 | 0.4308 | 2,936 | 10,000 | 1,843 |
| Fold 4 | 0.4343 | 2,884 | 10,000 | 1,837 |