Concept information
Terme préférentiel
majority classifier
Définition
- A classifier where every point is assigned to whichever class is in the majority in the training set. If there is no majority one of the classes is chosen arbitrarily. This classifier is often used as a baseline for comparing other machine learning techniques. (Carleton College)
Concept générique
Traductions
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français
URI
http://data.loterre.fr/ark:/67375/8LP-CNL59CQ1-8
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