Qu'est-ce que « Logistic regression » ?

Logistic regression models $\P(y = 1\mid x) = 1/(1 + e^{-(b + x^\top\beta)})$ and fits $(b,\beta)$ by maximum likelihood, usually with a ridge or lasso penalty on $\beta$.