Using p-adic coefficients to predict taxonomy from tags
The umllr (Universal Machine Learning Linear Regression) model assigns p-adic integer coefficients to product tags and uses them to predict taxonomy encodings. Each taxonomy path is encoded as a p-adic integer (base 71), and tags are fitted to minimize p-adic distance on training data.
| Fold | Accuracy | F1 | P-adic loss (mean) | Details |
|---|---|---|---|---|
| 0 | 38.11% | 0.4158 | 0.39520520 | View details → |
| 1 | 39.66% | 0.4197 | 0.35685258 | View details → |
| 2 | 39.71% | 0.4216 | 0.37095830 | View details → |
| 3 | 37.01% | 0.3996 | 0.37767378 | View details → |
| 4 | 38.68% | 0.4142 | 0.36762608 | View details → |