PCLR Fold 2

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Fold metrics

Metric	Value
Test accuracy	12.63%
Test F1 score	0.1249
Hierarchical loss	0.92056867
P-adic loss (total)	496.39478549
P-adic loss (mean)	0.71218764
Prime base	71
Training samples	2,726
Test samples	697
Trained at	2025-12-16T22:25:42+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	88	12.63%	0.000000	0.000000
p^4	5	0.72%	0.000000	0.000000
p^3	8	1.15%	0.000003	0.000022
p^2	73	10.47%	0.000198	0.014481
p^1	27	3.87%	0.014085	0.380282
p^0	496	71.16%	1.000000	496.000000

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.