Explains measuring false merges and false splits

https://knobit.org/id/knobit/R-354

Context functions	Object understanding
Knobit creation methods	AI generated
Knobit types	Knowledge
LCG purposes	Assessing the learner's knowledge or skill state
LCG purposes	Opening up a learning outcome
action verb	Explains en
assessment criterion	Answers a written question on the match quality measurement correctly en
assessment method	Written question en
conforms to profile	https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1
dcterms:identifier	R-354
dcterms:license	https://creativecommons.org/licenses/by/4.0/
dcterms:source	Practice the stage 3 reference and review checklist rest on en
depends on knobit	Explains the concepts of frequency and relative frequency
expected result	False-merge and false-split rates measured on a labelled sample before go-live and periodically; merges counted alone say nothing about quality. en
owl:sameAs	https://bitbucket.org/reffa/ontology/id/knobit/reference-master-data/03-matching/R-354
rdfs:label	Explains measuring false merges and false splits en
schema:creativeWorkStatus	accepted
schema:isPartOf	Reference and master data (DAMA-DMBOK2)
skos:definition	False-merge and false-split rates measured on a labelled sample before go-live and periodically; merges counted alone say nothing about quality. en
skos:prefLabel	Explains measuring false merges and false splits en
target object	match quality measurement en

Used by

applies knowledge	Recognises an unmeasured false-merge rate
applies knowledge	Recognises a merge count used as a quality metric
applies knowledge	Recognises a duplicate rate measured after merging
applies knowledge	Adds a false-merge measure taken before merging
depends on knobit	Explains MDM quality metrics
includes knobit	Matches party records without merging different people, and measures how often it does
includes knobit	Master data: matching and identity resolution
requires knobit	Define the matching rules