PCLR Fold 1

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Fold metrics

Metric	Value
Test accuracy	7.25%
Test F1 score	0.0801
Hierarchical loss	0.76933153
P-adic loss (total)	1343.00382546
P-adic loss (mean)	0.74281185
Prime base	79
Training samples	7,302
Test samples	1,808
Trained at	2026-03-20T05:30:22+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	131	7.25%	0.000000	0.000000
p^4	8	0.44%	0.000000	0.000000
p^3	69	3.82%	0.000002	0.000140
p^2	181	10.01%	0.000160	0.029002
p^1	77	4.26%	0.012658	0.974684
p^0	1,342	74.23%	1.000000	1342.000000

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.