PCLR Fold 0

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Fold metrics

Metric	Value
Test accuracy	13.09%
Test F1 score	0.1366
Hierarchical loss	0.92099073
P-adic loss (total)	310.09010899
P-adic loss (mean)	0.47197886
Prime base	71
Training samples	2,766
Test samples	657
Trained at	2025-12-16T22:25:34+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	86	13.09%	0.000000	0.000000
p^3	17	2.59%	0.000003	0.000047
p^2	99	15.07%	0.000198	0.019639
p^1	147	22.37%	0.014085	2.070423
p^0	308	46.88%	1.000000	308.000000

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.