PCLR Fold 2

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Fold metrics

Metric	Value
Test accuracy	9.24%
Test F1 score	0.0936
Hierarchical loss	0.91749488
P-adic loss (total)	846.00801887
P-adic loss (mean)	0.68007075
Prime base	71
Training samples	4,937
Test samples	1,244
Trained at	2026-02-02T05:30:30+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	115	9.24%	0.000000	0.000000
p^4	3	0.24%	0.000000	0.000000
p^3	30	2.41%	0.000003	0.000084
p^2	111	8.92%	0.000198	0.022019
p^1	141	11.33%	0.014085	1.985915
p^0	844	67.85%	1.000000	844.000000

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.