Question: what is the difference between binary logistic regression and multinomial logistic regression?
Answer: Multinomial logistic regression deals with situations where the outcome can have three or more possible types (e.g., "disease A" vs. "disease B" vs. "disease C") that are not ordered. ... Binary logistic regression is used to predict the odds of being a case based on the values of the independent variables (predictors).