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Eval report — step-006000

  • entries evaluated: 74
  • full-parseaddress parsingThe process of decomposing a free-text postal address string into structured components — house number, street name, locality, region, postcode, and country — so a geocoder can resolve them to coordinates. exact matchexact matchThe share of eval items whose every component is correct (compared per-span or per-token). Stricter than per-tag F1, which credits partial correctness.: 0.0000
  • mean tokentokenOne word or subword in the tokenized input. For the neural classifier, tokens come from SentencePiece (subword units); for the rule classifiers, tokens are whitespace- and punctuation-separated words. confidence: 0.8653

Per-component F1

tagprecisionprecisionOf the spans the model labeled as a given tag, the fraction it got right. High precision means few false positives. Paired with recall to compute F1.recallrecallOf the spans whose gold label is a given tag, the fraction the model found. High recall means few misses. Paired with precision to compute F1.f1support
countrycountryThe top-level address component (an ISO country). Closed-vocabulary, so it is best handled by a deterministic matcher feeding a proposal rather than a retrained model head.0.00000.00000.00006
regionregionThe first-level administrative subdivision of a country — a US state, a French region, a province. The component between country and locality.0.09860.11110.104563
localitylocalityThe city / town / settlement component of an address: a populated place sitting between region and neighbourhood in the hierarchy.0.04230.04170.042072
dependent_locality0.00000.00000.00001
postcodepostcodeThe country-specific postal code (US ZIP, French code postal, etc.). Mailwoman handles postcode parsing entirely by rule classifier — a regex problem, not an ML one.0.00000.00000.000065
subregion0.00000.00000.00000
cedexCEDEX (Courrier d'Entreprise à Distribution Exceptionnelle). A French postal routing for high-volume business mail: a CEDEX code delivers directly from a sorting centre, bypassing the local post office. A common negative-space format Mailwoman must parse.0.00000.00000.00001

Calibration (confidence bucket → accuracy)

bucketnaccuracy
0.0–0.100.0000
0.1–0.200.0000
0.2–0.350.0000
0.3–0.4360.2222
0.4–0.5560.2143
0.5–0.6730.2055
0.6–0.7640.0938
0.7–0.8940.2128
0.8–0.9950.2316
0.9–1.07770.3591