Multi-label classification
id:
multi-label-classification-288-15718350
title:
Multi-label classification
text:
In machine learning, multi-label classification or multi-output classification is a variant of the classification problem where multiple nonexclusive labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of several classes. In the multi-label problem the labels are nonexclusive and there is no constraint on how many of the classes the instance can be assi
brand slug:
wiki
category slug:
encyclopedia
description:
Classification problem where multiple labels may be assigned to each instance
original url:
https://en.wikipedia.org/wiki/Multi-label_classification
date created:
date modified:
2024-02-04T15:03:41Z
main entity:
{"identifier":"Q3553958","url":"https://www.wikidata.org/entity/Q3553958"}
image:
fields total:
13
integrity:
14