| dbo: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) |
| dbo:wikiPageID |
26338110 (xsd:integer) |
| dbo:wikiPageLength |
10182 (xsd:nonNegativeInteger) |
| dbo:wikiPageRevisionID |
1119352333 (xsd:integer) |
| dbo:wikiPageWikiLink |
dbr:Multinomial_logistic_regression dbr:Decision_trees dbr:Perceptron dbr:Decision_tree_learning dbc:Classification_algorithms dbr:Conditional_independence dbr:Online_machine_learning dbr:Multi-task_learning dbr:Multi_expression_programming dbr:Naive_Bayes dbr:Machine_learning dbr:Multi-label_classification dbr:Tree_(data_structure) dbr:Hierarchical_classification dbr:One-class_classification dbr:K-nearest_neighbors dbr:Binary_classification dbr:Support_vector_machines dbr:Heuristic dbc:Statistical_classification dbr:Softmax_function dbr:Statistical_classification dbr:Extreme_learning_machine dbr:Neural_networks |
| dbp:wikiPageUsesTemplate |
dbt:= dbt:Distinguish dbt:Math dbt:More_citations_needed_section dbt:Mvar dbt:Reflist dbt:Rp dbt:Sub |
| dct:subject |
dbc:Classification_algorithms dbc:Statistical_classification |
| gold:hypernym |
dbr:Problem |
| rdf:type |
owl:Thing yago:WikicatClassificationAlgorithms yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity dbo:Disease yago:Rule105846932 |
| 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) |
| rdfs:label |
Classification en classes multiples (fr) Multiclass classification (en) 多元分类 (zh) |
| owl:differentFrom |
dbr:Multi-label_classification |
| owl:sameAs |
freebase:Multiclass classification yago-res:Multiclass classification wikidata:Multiclass classification dbpedia-fr:Multiclass classification dbpedia-sr:Multiclass classification dbpedia-zh:Multiclass classification https://global.dbpedia.org/id/4rho7 |
| prov:wasDerivedFrom |
wikipedia-en:Multiclass_classification?oldid=1119352333&ns=0 |
| foaf:isPrimaryTopicOf |
wikipedia-en:Multiclass_classification |
| is dbo:wikiPageDisambiguates of |
dbr:Multiclass |
| is dbo:wikiPageRedirects of |
dbr:Multi-Label_Classification dbr:Multi-class_categorization dbr:Multi-class_classification dbr:Multiclass_classifier dbr:Multiclass_labeling dbr:Multiclass_problem |
| is dbo:wikiPageWikiLink of |
dbr:Probabilistic_classification dbr:Margin-infused_relaxed_algorithm dbr:Multiclass dbr:Multinomial_logistic_regression dbr:Perceptron dbr:Incremental_decision_tree dbr:Intertwingularity dbr:Convex_optimization dbr:Multi-task_learning dbr:Calibration_(statistics) dbr:Matrix_completion dbr:Multi-label_classification dbr:Hinge_loss dbr:One-class_classification dbr:Binary_classification dbr:Support_vector_machine dbr:Automatic_image_annotation dbr:Business_intelligence dbr:Softmax_function dbr:Classification_rule dbr:Structured_support_vector_machine dbr:Statistical_classification dbr:F-score dbr:List_of_statistics_articles dbr:Multi-Label_Classification dbr:Multinomial_probit dbr:Outline_of_machine_learning dbr:Structured_kNN dbr:Multi-class_categorization dbr:Multi-class_classification dbr:Multiclass_classifier dbr:Multiclass_labeling dbr:Multiclass_problem |
| is owl:differentFrom of |
dbr:Multi-label_classification |
| is foaf:primaryTopic of |
wikipedia-en:Multiclass_classification |