PCLR Fold 3

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Fold metrics

Metric	Value
Test accuracy	7.70%
Test F1 score	0.0814
Hierarchical loss	0.77764898
P-adic loss (total)	1010.94349537
P-adic loss (mean)	0.54853147
Prime base	79
Training samples	7,267
Test samples	1,843
Trained at	2026-03-20T05:30:31+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	142	7.70%	0.000000	0.000000
p^4	1	0.05%	0.000000	0.000000
p^3	28	1.52%	0.000002	0.000057
p^2	121	6.57%	0.000160	0.019388
p^1	547	29.68%	0.012658	6.924051
p^0	1,004	54.48%	1.000000	1004.000000

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 79). Lower values indicate closer predictions in the taxonomy hierarchy. This metric is shared with the umllr model for comparison.