PCLR Fold 1

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Fold metrics

Metric	Value
Test accuracy	6.62%
Test F1 score	0.0569
Hierarchical loss	0.75545978
P-adic loss (total)	1195.30273080
P-adic loss (mean)	0.75413422
Prime base	79
Training samples	6,105
Test samples	1,585
Trained at	2026-07-14T05:31:13+10:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	105	6.62%	0.000000	0.000000
p^4	7	0.44%	0.000000	0.000000
p^3	27	1.70%	0.000002	0.000055
p^2	72	4.54%	0.000160	0.011537
p^1	181	11.42%	0.012658	2.291139
p^0	1,193	75.27%	1.000000	1193.000000

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