Logistic Regression: Binary — And Multinomial

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 vs. Multinomial Logistic regression is a statistical method used to predict the probability of a categorical outcome based on one or more independent variables. Despite the name, it is used for , not regression. 1. Binary Logistic Regression 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). Instead of one sigmoid function, it uses the