PCLR Fold 0

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Fold metrics

Metric	Value
Test accuracy	10.18%
Test F1 score	0.1129
Hierarchical loss	0.76691318
P-adic loss (total)	745.26681277
P-adic loss (mean)	0.84306201
Prime base	79
Training samples	3,696
Test samples	884
Trained at	2026-08-28T05:31:18+10:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	90	10.18%	0.000000	0.000000
p^4	8	0.90%	0.000000	0.000000
p^3	14	1.58%	0.000002	0.000028
p^2	6	0.68%	0.000160	0.000961
p^1	21	2.38%	0.012658	0.265823
p^0	745	84.28%	1.000000	745.000000

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.