PCLR Fold 4

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Fold metrics

Metric	Value
Test accuracy	11.72%
Test F1 score	0.1213
Hierarchical loss	0.91974740
P-adic loss (total)	359.14287370
P-adic loss (mean)	0.51974367
Prime base	71
Training samples	2,732
Test samples	691
Trained at	2025-12-16T22:25:48+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	81	11.72%	0.000000	0.000000
p^4	5	0.72%	0.000000	0.000000
p^3	16	2.32%	0.000003	0.000045
p^2	81	11.72%	0.000198	0.016068
p^1	151	21.85%	0.014085	2.126761
p^0	357	51.66%	1.000000	357.000000

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.