What is multinomial logistic regression?
Multinomial logistic regression is a statistical method used to model the relationship between one or more independent variables and a categorical dependent variable with more than two unordered categories. It is an extension of binary logistic regression to situations where the outcome variable has multiple categories that are not ordered. In multinomial logistic regression, the dependent variable is categorical and nominal, meaning the categories have no natural ordering. Examples of such variables include types of diseases (e.g., cancer types), political…