ML VISUAL LAB / ML Methods
Logistic Regression
Intuition
Learn how the sigmoid function converts a linear score into class probability.
Core Formula
p(y=1) = 1 / (1 + exp(-z))
When to use it?
Binary classification and risk probability modeling.