Concept information
Preferred term
majority classifier
Definition
- 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)
Broader concept
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-CNL59CQ1-8
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