About: Multiclass classification

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Multiclass classification Goto Sponge NotDistinct Permalink

An Entity of Type : yago:Rule105846932, within Data Space : dbpedia.org associated with source document(s)
QRcode icon

http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FMulticlass_classification

In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). While many classification algorithms (notably multinomial logistic regression) naturally permit the use of more than two classes, some are by nature binary algorithms; these can, however, be turned into multinomial classifiers by a variety of strategies.

Attributes	Values
rdf:type	Thing yago:WikicatClassificationAlgorithms yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity disease yago:Rule105846932
rdfs:label	Classification en classes multiples (fr) Multiclass classification (en) 多元分类 (zh)
rdfs:comment	En apprentissage automatique, la classification en classes multiples est un processus de répartition d'un lot de propositions entre plus de deux ensembles (classer des propositions dans un ou deux ensembles s'appelle (en)). * Portail des mathématiques * Portail de l’informatique (fr) 在机器学习中，多元分类是将实例分配到多个（多于两个）类别中的其中一个（将实例分配到两个类别中的其中一个被称为）。显然，分类算法可以分为二分类和多分类两种，而多分类算法可以通过将其转化为多个二分类来实现。需要注意的是，多分类不应和相混淆：多标签分类可以为每个实例预测多个标签，即同一个实例可以同时被分配到多个类别。 (zh) In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). While many classification algorithms (notably multinomial logistic regression) naturally permit the use of more than two classes, some are by nature binary algorithms; these can, however, be turned into multinomial classifiers by a variety of strategies. (en)
differentFrom	Multi-label classification
dcterms:subject	Classification algorithms Statistical classification
Wikipage page ID	26338110 (xsd:integer)
Wikipage revision ID	1119352333 (xsd:integer)
Link from a Wikipage to another Wikipage	Multinomial logistic regression Decision trees Perceptron Decision tree learning Classification algorithms Conditional independence Online machine learning Multi-task learning Multi expression programming Naive Bayes Machine learning Multi-label classification Tree (data structure) Hierarchical classification One-class classification K-nearest neighbors Binary classification Support vector machines Heuristic Statistical classification Softmax function Statistical classification Extreme learning machine Neural networks
sameAs	Multiclass classification Multiclass classification Multiclass classification Multiclass classification Multiclass classification Multiclass classification Multiclass classification
dbp:wikiPageUsesTemplate	dbt:= dbt:Distinguish dbt:Math dbt:More_citations_needed_section dbt:Mvar dbt:Reflist dbt:Rp dbt:Sub
has abstract	In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). While many classification algorithms (notably multinomial logistic regression) naturally permit the use of more than two classes, some are by nature binary algorithms; these can, however, be turned into multinomial classifiers by a variety of strategies. Multiclass classification should not be confused with multi-label classification, where multiple labels are to be predicted for each instance. (en) En apprentissage automatique, la classification en classes multiples est un processus de répartition d'un lot de propositions entre plus de deux ensembles (classer des propositions dans un ou deux ensembles s'appelle (en)). * Portail des mathématiques * Portail de l’informatique (fr) 在机器学习中，多元分类是将实例分配到多个（多于两个）类别中的其中一个（将实例分配到两个类别中的其中一个被称为）。显然，分类算法可以分为二分类和多分类两种，而多分类算法可以通过将其转化为多个二分类来实现。需要注意的是，多分类不应和相混淆：多标签分类可以为每个实例预测多个标签，即同一个实例可以同时被分配到多个类别。 (zh)
gold:hypernym	Problem
prov:wasDerivedFrom	wikipedia-en:Multiclass_classification?oldid=1119352333&ns=0
page length (characters) of wiki page	10182 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Multiclass_classification
is differentFrom of	Multi-label classification
is Link from a Wikipage to another Wikipage of	Probabilistic classification Margin-infused relaxed algorithm Multiclass Multinomial logistic regression Perceptron Incremental decision tree Intertwingularity Convex optimization Multi-task learning Calibration (statistics) Matrix completion Multi-label classification Hinge loss One-class classification Binary classification Support vector machine Automatic image annotation Business intelligence Softmax function Classification rule Structured support vector machine Statistical classification F-score List of statistics articles Multi-Label Classification Multinomial probit Outline of machine learning Structured kNN Multi-class categorization Multi-class classification

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (62 GB total memory, 54 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software