What is Multinomial Logistic Regression?
Multinomial logistic regression is used when we have a categorical dependent variable with more than two categories. In R, we can perform multinomial logistic regression using the multinom() function from the nnet package.
- Multinomial logistic regression is a type of regression analysis used to predict the nominal or categorical dependent variable with two or more levels.
- the multinom() function from the nnet package can be used to perform multinomial logistic regression.
Multinomial Logistic Regression in R
In this article, we will learn about Multinomial Logistic Regression which can be used when we have more than two categories in the target column. Let’s first start with a little bit brief explanation about the multinomial logistic regression and after this we will move on to the code implementation part by using different packages which are available in R.