Multinomial logistic regression
id:
multinomial-logistic-regression-204-9507781
title:
Multinomial logistic regression
text:
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. Multinomial logistic regression is known by a variety of other names, including polytomous LR, multiclass LR, softmax regres
brand slug:
wiki
category slug:
encyclopedia
description:
Regression for more than two discrete outcomes
original url:
https://en.wikipedia.org/wiki/Multinomial_logistic_regression
date created:
2006-03-18T16:28:09Z
date modified:
2024-09-09T23:48:11Z
main entity:
{"identifier":"Q1650843","url":"https://www.wikidata.org/entity/Q1650843"}
image:
fields total:
13
integrity:
15