This is used when your target variable has exactly (e.g., Yes/No, Pass/Fail, Spam/Not Spam).
Use if you are choosing between several distinct labels where one choice doesn't "outrank" another. Logistic Regression: Binary and Multinomial
The categories must be nominal (no inherent order). If the categories have a natural ranking (like "Low, Medium, High"), you should use Ordinal Logistic Regression instead. This is used when your target variable has exactly (e
It uses the Sigmoid function to map any real-valued number into a value between 0 and 1. The Math: It models the "log-odds" of the probability Logistic Regression: Binary and Multinomial
This is used when your target variable has (e.g., predicting if a user will choose Product A, B, or C).