Multinomial logistic regression generalizes to multiclass problems; it allows for more than two categories of the outcome variable. Just like binary logistic regression, multinomial logistic regression also uses maximum likelihood estimation to evaluate the probability.

Multinomial logistic regression is mainly used when the dependent variable in question is nominal. Multinomial logistic regression is a classification problem in which a linear combination of the observed features and parameters can be utilized to calculate the probability of each particular outcome of the dependent variable.

In this chapter, we will use a different dataset from the one we used for our recommendation model, as the MovieLens ...