PCLR Fold 3

Back to PCLR overview · Back to main index

Fold metrics

Metric	Value
Test accuracy	8.13%
Test F1 score	0.0754
Hierarchical loss	0.91647773
P-adic loss (total)	730.86637488
P-adic loss (mean)	0.58798582
Prime base	71
Training samples	4,938
Test samples	1,243
Trained at	2026-02-02T05:30:36+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	101	8.13%	0.000000	0.000000
p^4	7	0.56%	0.000000	0.000000
p^3	28	2.25%	0.000003	0.000078
p^2	107	8.61%	0.000198	0.021226
p^1	273	21.96%	0.014085	3.845070
p^0	727	58.49%	1.000000	727.000000

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.