PCLR Fold 0

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Fold metrics

Metric	Value
Test accuracy	8.61%
Test F1 score	0.0884
Hierarchical loss	0.91691505
P-adic loss (total)	717.67154424
P-adic loss (mean)	0.58825536
Prime base	71
Training samples	4,961
Test samples	1,220
Trained at	2026-02-02T05:30:18+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	105	8.61%	0.000000	0.000000
p^4	5	0.41%	0.000000	0.000000
p^3	18	1.48%	0.000003	0.000050
p^2	119	9.75%	0.000198	0.023606
p^1	259	21.23%	0.014085	3.647887
p^0	714	58.52%	1.000000	714.000000

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 71). Lower values indicate closer predictions in the taxonomy hierarchy. This metric is shared with the umllr model for comparison.