Parameter Constrained Logistic Regression

Predicting Shopify taxonomy from product tags using parameter constrained logistic regression

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Model summary

This parameter constrained logistic regression model predicts taxonomy IDs from product tags. Trained at: 2026-03-20T05:30:47+11:00

5CV folds
7.94%Mean test accuracy
493Taxonomy classes

Aggregate statistics

Cross-validation fold results

Average p-adic loss across all folds: 0.66497540

FoldTest AccuracyF1 ScoreP-adic Loss (mean)Details
08.30%0.08660.78003279View details →
17.25%0.08010.74281185View details →
27.72%0.08580.54223690View details →
37.70%0.08140.54853147View details →
48.71%0.08820.71126399View details →

Largest taxonomy classes

Taxonomy IDPathSamplesShare
gid://shopify/TaxonomyCategory/bt4941.03%
gid://shopify/TaxonomyCategory/lb15820.90%
gid://shopify/TaxonomyCategory/bu5300.33%
gid://shopify/TaxonomyCategory/na25170.19%
gid://shopify/TaxonomyCategory/sg23130.14%
gid://shopify/TaxonomyCategory/os18120.13%
gid://shopify/TaxonomyCategory/gc11110.12%
gid://shopify/TaxonomyCategory/hg1480.09%
gid://shopify/TaxonomyCategory/ma1670.08%
gid://shopify/TaxonomyCategory/fb960.07%
gid://shopify/TaxonomyCategory/me1760.07%
gid://shopify/TaxonomyCategory/pa1960.07%
gid://shopify/TaxonomyCategory/el850.05%
gid://shopify/TaxonomyCategory/bi640.04%

Tags with strongest signal

TagTaxonomy IDPathWeightMax |weight|
FPMgid://shopify/TaxonomyCategory/sg233.98763.9876