PCLR Fold 0

Back to PCLR overview · Back to main index

Fold metrics

Metric	Value
Test accuracy	8.30%
Test F1 score	0.0866
Hierarchical loss	0.76255995
P-adic loss (total)	1400.15885764
P-adic loss (mean)	0.78003279
Prime base	79
Training samples	7,315
Test samples	1,795
Trained at	2026-03-20T05:30:18+11:00

P-adic loss breakdown

Agreement	Count	Share	Cost per mistake	Total contribution
Exact match	149	8.30%	0.000000	0.000000
p^4	1	0.06%	0.000000	0.000000
p^3	34	1.89%	0.000002	0.000069
p^2	122	6.80%	0.000160	0.019548
p^1	90	5.01%	0.012658	1.139241
p^0	1,399	77.94%	1.000000	1399.000000

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.