Logistic Regression: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

3 February 2024

  • curprev 19:4319:43, 3 February 2024‎ Ai talk contribs‎ 3,832 bytes +3,832‎ Created page with "== Introduction == Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression). == Mathematical Formulation == The logistic model is used to model the probability of a certain class or event existing such as p..."
Retrieved from "https://canonica.ai/page/Logistic_Regression"