PCLR Fold 1

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Fold metrics

Metric	Value
Test accuracy	7.14%
Test F1 score	0.0695
Hierarchical loss	0.91557915
P-adic loss (total)	811.23950419
P-adic loss (mean)	0.65793958
Prime base	71
Training samples	4,948
Test samples	1,233
Trained at	2026-02-02T05:30:24+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	88	7.14%	0.000000	0.000000
p^4	13	1.05%	0.000000	0.000001
p^3	24	1.95%	0.000003	0.000067
p^2	142	11.52%	0.000198	0.028169
p^1	157	12.73%	0.014085	2.211268
p^0	809	65.61%	1.000000	809.000000

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.