PCLR Fold 2

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Fold metrics

Metric	Value
Test accuracy	6.04%
Test F1 score	0.0592
Hierarchical loss	0.77146214
P-adic loss (total)	1593.78938177
P-adic loss (mean)	0.59782047
Prime base	79
Training samples	10,606
Test samples	2,666
Trained at	2026-05-20T05:31:14+10:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	161	6.04%	0.000000	0.000000
p^3	42	1.58%	0.000002	0.000085
p^2	186	6.98%	0.000160	0.029803
p^1	692	25.96%	0.012658	8.759494
p^0	1,585	59.45%	1.000000	1585.000000

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.