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- Multi-label_classification abstract "Not to be confused with multiclass classification.In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification problem where multiple target labels must be assigned to each instance. Multi-label classification should not be confused with multiclass classification, which is the problem of categorizing instances into more than two classes. Formally, multi-label learning can be phrased as the problem of finding a model that maps inputs x to vectors y, rather than scalar outputs as in the ordinary classification problem.There are two main methods for tackling the multi-label classification problem: problem transformation methods and algorithm adaptation methods. Problem transformation methods transform the multi-label problem into a set of binary classification problems, which can then be handled using single-class classifiers. Algorithm adaptation methods adapt the algorithms to directly perform multi-label classification. In other words, rather than trying to convert the problem to a simpler problem, they try to address the problem in its full form.".
- Multi-label_classification wikiPageExternalLink meka.sourceforge.net.
- Multi-label_classification wikiPageExternalLink mulan.sourceforge.net.
- Multi-label_classification wikiPageExternalLink datasets.html.
- Multi-label_classification wikiPageExternalLink multiclass.html.
- Multi-label_classification wikiPageExternalLink guide.html.
- Multi-label_classification wikiPageExternalLink clus.
- Multi-label_classification wikiPageID "7466947".
- Multi-label_classification wikiPageRevisionID "606377716".
- Multi-label_classification hasPhotoCollection Multi-label_classification.
- Multi-label_classification subject Category:Classification_algorithms.
- Multi-label_classification type Abstraction100002137.
- Multi-label_classification type Act100030358.
- Multi-label_classification type Activity100407535.
- Multi-label_classification type Algorithm105847438.
- Multi-label_classification type ClassificationAlgorithms.
- Multi-label_classification type Event100029378.
- Multi-label_classification type Procedure101023820.
- Multi-label_classification type PsychologicalFeature100023100.
- Multi-label_classification type Rule105846932.
- Multi-label_classification type YagoPermanentlyLocatedEntity.
- Multi-label_classification comment "Not to be confused with multiclass classification.In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification problem where multiple target labels must be assigned to each instance. Multi-label classification should not be confused with multiclass classification, which is the problem of categorizing instances into more than two classes.".
- Multi-label_classification label "Classificazione multi-etichetta".
- Multi-label_classification label "Multi-label classification".
- Multi-label_classification sameAs Classificazione_multi-etichetta.
- Multi-label_classification sameAs m.0262mhn.
- Multi-label_classification sameAs Q3553958.
- Multi-label_classification sameAs Q3553958.
- Multi-label_classification sameAs Multi-label_classification.
- Multi-label_classification wasDerivedFrom Multi-label_classification?oldid=606377716.
- Multi-label_classification isPrimaryTopicOf Multi-label_classification.