PCLR Fold 0

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Fold metrics

Metric	Value
Test accuracy	5.18%
Test F1 score	0.0610
Hierarchical loss	0.75064895
P-adic loss (total)	3764.87404068
P-adic loss (mean)	0.82617381
Prime base	83
Training samples	18,540
Test samples	4,557
Trained at	2026-10-13T05:37:38+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	236	5.18%	0.000000	0.000000
p^4	8	0.18%	0.000000	0.000000
p^3	22	0.48%	0.000002	0.000038
p^2	377	8.27%	0.000145	0.054725
p^1	151	3.31%	0.012048	1.819277
p^0	3,763	82.58%	1.000000	3763.000000

Tag Rank vs Coefficient Magnitude

Tag rank vs max coefficient magnitude — Scatter plot showing the relationship between tag battle ranking and maximum absolute coefficient value across all taxonomies. Shows which tags have the strongest influence in the model.

About p-adic loss

P-adic loss measures the distance between predicted and true taxonomy using p-adic metric (base 83). Lower values indicate closer predictions in the taxonomy hierarchy. This metric is shared with the umllr model for comparison.