Concept information
Término preferido
majority classifier
Definición
- 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)
Concepto genérico
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/8LP-CNL59CQ1-8
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