Logistic Regression: Binary And Multinomial -

Use if you are answering a "True/False" style question.

Instead of one sigmoid function, it uses the Softmax function . It essentially runs multiple binary regressions comparing each category to a "reference" category. 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. Use if you are answering a "True/False" style question

This is used when your target variable has (e.g., predicting if a user will choose Product A, B, or C). Logistic Regression: Binary and Multinomial

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