Zubarev P-adic Polynomial Regression (UMLLR, Mahler degree 1 init)

Stochastic optimization with Mahler basis functions

0.3567 Avg p-adic loss
1,428 Avg non-zero coefficients
10,000 Avg iterations
4,580 Total test samples

Method Description

This model implements Zubarev's p-adic polynomial regression method from arXiv:2503.23488. Key features:

Cross-validation Results

FoldMean p-adic lossNon-zero coeffsIterationsTest samples
Fold 00.38092,48310,000884
Fold 10.357071210,000959
Fold 20.345771810,000918
Fold 30.35662,47410,000918
Fold 40.343475110,000901