About: Multinomial logistic regression

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Multinomial logistic regression Goto Sponge NotDistinct Permalink

An Entity of Type : yago:Whole100003553, within Data Space : dbpedia.org associated with source document(s)
QRcode icon

http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FMultinomial_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.).

Attributes	Values
rdf:type	Thing software yago:WikicatLog-linearModels yago:Assistant109815790 yago:CausalAgent100007347 yago:LivingThing100004258 yago:Model110324560 yago:Object100002684 yago:Organism100004475 yago:Person100007846 yago:PhysicalEntity100001930 yago:Worker109632518 yago:YagoLegalActor yago:YagoLegalActorGeo yago:Whole100003553
rdfs:label	Multinomiale logistische Regression (de) Regresión logística multinomial (es) Multinomial logistic regression (en)
rdfs:comment	In der Statistik ist die multinomiale logistische Regression, auch multinomiale Logit-Regression (MNL), polytome logistische Regression, polychotome logistische Regression, Softmax-Regression oder Maximum-Entropie-Klassifikator genannt, ein regressionsanalytisches Verfahren. Sie „dient zur Schätzung von Gruppenzugehörigkeiten bzw. einer entsprechenden Wahrscheinlichkeit hierfür.“ Die Antwortvariable (auch abhängige Variable, AV) ist dabei eine nominalskalierte Variable (Unterform der kategorialen Variable, bei der die Kategorien nicht in eine sinnvolle Reihenfolge zu bringen sind). Im Falle einer ordinalskalierten AV (ebenfalls kategorial, aber in Reihenfolge mit gleichmäßigen Abständen zwischen den Kategorien zu bringen) spricht man von einer . Bei gegebener verhältnis- oder intervallskal (de) En estadística, la regresión logística multinomial generaliza el método de regresión logística para problemas multiclase, es decir, con más de dos posibles resultados discretos. Es decir, se trata de un modelo que se utiliza para predecir las probabilidades de los diferentes resultados posibles de una distribución categórica como variable dependiente, dado un conjunto de variables independientes (que pueden ser de valor real, valor binario, categórico-valorado, etc.) (es) 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
dcterms:subject	Classification algorithms Logistic regression Regression models
Wikipage page ID	4433814 (xsd:integer)
Wikipage revision ID	1122154254 (xsd:integer)
Link from a Wikipage to another Wikipage	Probability distribution Naive Bayes classifier Natural language processing Nonidentifiable Normalization factor Blood pressure Perceptron Independence of irrelevant alternatives Level of measurement Predictive modelling Classification algorithms Coordinate descent Mathematical optimization Maximum a posteriori Generalized iterative scaling Gibbs measure Logistic regression Multiclass classification Location parameter Logarithm Logistic function Smooth function Statistics Compositional data Identifiability Partition function (mathematics) Regression models Linear combination Linear discriminant analysis Linear predictor function Logistic distribution Logistic regression Discrete choice Iteratively reweighted least squares Dependent variable Differentiation (mathematics) Extreme value distribution Gaussian distribution Probability Random variable Regularization (mathematics) Softmax activation function Latent variable Binary variable Support vector machine Hepatitis Dot product Softmax function Independent variable Indicator function Odds ratio Order statistic Categorical distribution Categorical variable Maximum likelihood Multicollinearity Scale parameter Utility Statistical classification Multinomial probit L-BFGS Statistical independence Statistically independent Gradient-based optimization Independent identically distributed Regression coefficient Continuous variable Perfect substitute Prior distribution Error propagation Nested logit Weighted average
sameAs	Multinomial logistic regression

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (62 GB total memory, 54 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software