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Logistic regression

In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of a logistic model (the coefficients in the linear or non linear combinations). In binary…

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Model fitting

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Machine learning and cross-entropy loss function

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Logistic regression

Nodes208
Edges207
Triples176
Avg. degree1.99
Density0.009615
Components1

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Logistic regression

Top relations

related to General · 18
Logistic regression → Another, Boyd, Communist Party, Conditional, Disaster, For, In, Injury Severity Score, It, Logistic, Many, Nepal, Nepalese, Nepali Congress, The, These, Trauma, TRISS
related to Bayesian · 12
Logistic regression → Bayesian, Gaussian, However, In, JAGS, Now, OpenBUGS, PyMC, Stan, There, Turing, When Bayesian
related to history · 11
Logistic regression → Adolphe Quetelet, An, Cramer, History, In, Logistic, Pierre François Verhulst, The, This, Verhulst, Wilhelm Ostwald
related to "Rule of ten" · 10
Logistic regression → According, Also, EPV, For, However, If, Others, The, Thus, Widely
related to Discussion · 9
Logistic regression → Although, Bernoulli, Given, In, Like, The, To, Unlike, What
related to Extensions · 8
Logistic regression → An, Conditional, It, Mixed, Multinomial, Ordered, The, There
related to Alternatives · 7
Logistic regression → Equivalently, Fisher's, From, If, Logistic, Other, The
related to Comparison with linear regression · 7
Logistic regression → Bernoulli, First, Gaussian, In, Logistic, Second, The
related to External links · 7
Logistic regression → Logistic, Logit, Mark ThomaLogistic Regression, Media, Wikimedia CommonsEconometrics Lecture, Wiktionary-logo-en-v2, YouTube
related to Model evaluation · 6
Logistic regression → By, Deviance, LRT, Rather, The, Wald

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Important terminology

logistic regression model displaystyle probability function linear variables logit variable one data binary explanatory value odds distribution used beta values

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Logistic regressionis alikelihood-ratio test0.90text
Logistic regressionis ageneralization of binary logistic regression to include any number of explanatory variables and any number of categories0.90text
Logistic regressionis a0-or-1 variable0.90text
Logistic regressionis aimportant machine learning algorithm0.90text
Logistic regressionis aalternative to Fisher's 1936 method0.90text
prediction of a customer's propensity to purchase a product or halt a subscriptioninstance ofIt is also used in marketing applications0.80text
etcinstance ofIt is also used in marketing applications0.80text
the L-BFGS method.The interpretation of the βj parameter estimates is as the additive effect on the log of the odds for a unit change in the j the explanatory variableinstance ofa quasi-Newton method0.80text
OpenBUGSinstance ofautomatic software0.80text
JAGSinstance ofautomatic software0.80text
PyMCinstance ofautomatic software0.80text
Stan or Turing.jl allows these posteriors to be computed using simulationinstance ofautomatic software0.80text

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