A linear supervised model that predicts the probability of one of two classes.
Logit is a nightclub bouncer with a tiny calculator. It adds your score, then says “in” or “not tonight.”
You meet it in risk checks, health screens, and click guesses. It works best when the yes/no line is clear.
Classification
Logit is one of the classic methods for two-class decisions.
Supervised Learning
Logit uses labeled examples to learn a dividing line.
Cross-Entropy Loss
Logit often uses Cross-Entropy Loss to measure prediction errors.
Gradient Descent
Logit's weights can be learned with Gradient Descent.