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Multinomial logistic regression
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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