About: Multinomial logistic regression

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In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.).

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rdf:type	Thing software
rdfs:label	Multinomial logistic regression (en)
rdfs:comment	In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.). (en)
rdfs:seeAlso	Logistic regression
sameAs	Multinomial logistic regression Multinomial logistic regression
dbp:wikiPageUsesTemplate	dbt:Citation_needed dbt:Redirect dbt:Refimprove dbt:Reflist dbt:See_also dbt:Regression_bar
Subject	Classification algorithms Regression models Logistic regression
gold:hypernym	Method
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Multinomial_logistic_regression?oldid=1040245748&ns=0
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Wikipage revision ID	1040245748 (xsd:integer)
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has abstract	In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.). Multinomial logistic regression is known by a variety of other names, including polytomous LR, multiclass LR, softmax regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier, and the conditional maximum entropy model. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Multinomial_logistic_regression
is Wikipage redirect of	Mlogit MNL model Multinomial logit Multinomial logit model Multinomial regression Maxent model Maximum entropy classifier Polytomous logistic regression Softmax regression
is Link from a Wikipage to another Wikipage of	List of statistics articles

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