0.3735
Avg p-adic loss
1,443
Avg non-zero coefficients
10,000
Avg iterations
3,423
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 | 0.3824 | 1,453 | 10,000 | 657 |
| Fold 1 | 0.3554 | 1,437 | 10,000 | 688 |
| Fold 2 | 0.3595 | 1,440 | 10,000 | 697 |
| Fold 3 | 0.3863 | 1,454 | 10,000 | 690 |
| Fold 4 | 0.3843 | 1,432 | 10,000 | 691 |