Different types of Logistic Regression

Question

What are the different types of Logistic Regression?

Answer 1

There are three main types of logistic regression:

1. binomial: target variable can have only 2 possible types: “0” or “1” which may represent “win” vs “loss”, “pass” vs “fail”, “dead” vs “alive”, etc.
2. multinomial: target variable can have 3 or more possible types which are not ordered(i.e. types have no quantitative significance) like “disease A” vs “disease B” vs “disease C”.
3. ordinal: it deals with target variables with ordered categories. For example, a test score can be categorized as:“very poor”, “poor”, “good”, “very good”. Here, each category can be given a score like 0, 1, 2, 3.

Comments

Would logmodel and logmodel.fit  work to train the data? If so, multinomial? Is there an alternative to logmodel and logmodel.fit to address the 3 types of logistic regression?