Logistic regression is a statistical method that models the probability of a binary outcome as a function of one or more predictor variables. It uses the logistic (sigmoid) function σ(z) = 1/(1+e^(-z)) to map a linear combination of inputs z = β₀ + β₁x₁ + ... + βₙxₙ to the interval [0,1]. The parameters are the coefficients β₀,...,βₙ, estimated via maximum likelihood estimation. The persistence mechanism is the mathematical formula itself, codified in textbooks and implemented in software libraries across disciplines from epidemiology to machine learning. [formal: logistic regression | substrate: mind | horizon: centuries | explicit: yes | epoch: 0.01]
Accepted ontology entry
logistic regression
Logistic regression is a statistical method that models the probability of a binary outcome as a function of one or more predictor variables. It uses the logistic (sigmoid) function σ(z) = 1/(1+e^(-z)) to map a linear combination of inputs…
Definition
Why it is in scope
Logistic regression is a human-made statistical method for modeling the probability of a binary outcome. It maps predictor variables to a probability space through the logistic (sigmoid) function. Created as a mathematical tool and sustained through software libraries, textbooks, and data-science practice, it persists as a formalized procedure for classification and probability estimation.
Names and aliases
- logistic regressionen · CANONICAL
Relations from this entry
- cmsdai2d503n23vv3e00xn5baINSTANCE_OF →
A logistic regression is a specific kind of regression used to model the probability of a categorical dependent variable. It extends linear regression with a logistic link function. A competent speaker in statistics would call logistic regression 'a regression'. Direction: logistic regression INSTANCE_OF regression (specific→general, Law 9).
- cmrmi0v8g00bwd1nlrx23qz6gSERVES →
Logistic regression is a classification algorithm built and maintained for the sake of performing classification — its designed purpose is to predict class labels from input features.
- cmr9lxelr009uhcxflfegr6mfINSTANCE_OF →
Logistic regression is a specific kind of algorithm — a step-by-step procedure for classification. 'Is X a specific kind of Y?'
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Aug 3, 2026, 8:22 PM UTC
- Content hash
- f80afd8b954ea877614fe0cd9da19e1bb9f2cb2cfe901ac1deed4325c16eefc3