Logistic Regression

Joseph Berkson, 1944

Berkson’s logit formulation connects covariates to event odds through a logistic link. Here cyan and coral markers represent Bernoulli labels; the gold line tracks a linear decision boundary as batch gradients shrink cross-entropy error, mimicking early iterative proportional fitting / NR-style training without claiming statistical realism.