Classes in classification tasks


Révision datée du 13 septembre 2019 à 10:24 par Pitpitt (discussion | contributions) (Page créée avec « == en construction == Catégorie:Vocabulary Catégorie:Apprentissage machine Catégorie:UNSW == Définition == XXXXXXXXXXXXXXX == Français == '''XXXXXXXXX... »)
(diff) ← Version précédente | Voir la version actuelle (diff) | Version suivante → (diff)

en construction


Définition

XXXXXXXXXXXXXXX

Français

XXXXXXXXXXXXXXX

Anglais

classes in classification tasks

In a classification task in machine learning, the task is to take each instance and assign it to a particular class. For example, in a machine vision application, the task might involve analysing images of objects on a conveyor belt, and classifying them as nuts, bolts, or other components of some object being assembled. In an optical character recognition task, the task would involve taking instances representing images of characters, and classifying according to which character they are. Frequently in examples, for the sake of simplicity if nothing else, just two classes, sometimes called positive and negative, are used.

Source : INWS machine learning dictionary ]

Contributeurs: wiki