O que é 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 $\beta$.