Margin classifier
id:
margin-classifier-245-16887320
title:
Margin classifier
text:
In machine learning, a margin classifier is a classifier which is able to give an associated distance from the decision boundary for each example. For instance, if a linear classifier is used, the distance of an example from the separating hyperplane is the margin of that example. The notion of margin is important in several machine learning classification algorithms, as it can be used to bound the generalization error of the classifier. These bounds are frequently shown using the VC dimension.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Margin_classifier
date created:
date modified:
2023-03-25T14:52:32Z
main entity:
{"identifier":"Q6760396","url":"https://www.wikidata.org/entity/Q6760396"}
image:
fields total:
13
integrity:
13