PCLR Fold 1

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Fold metrics

Metric	Value
Test accuracy	6.15%
Test F1 score	0.0600
Hierarchical loss	0.76346553
P-adic loss (total)	1959.33706464
P-adic loss (mean)	0.74329934
Prime base	79
Training samples	10,636
Test samples	2,636
Trained at	2026-05-20T05:31:07+10:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	162	6.15%	0.000000	0.000000
p^4	1	0.04%	0.000000	0.000000
p^3	49	1.86%	0.000002	0.000099
p^2	207	7.85%	0.000160	0.033168
p^1	261	9.90%	0.012658	3.303797
p^0	1,956	74.20%	1.000000	1956.000000

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.