Enumerate the methods applied in multi class Logistic Regression.

Methods applied

Following are the methods that can be used for applying logistic regression algorithm to multi class problems.

1. One vs Rest approach: Here, if there are n classes then we create n duplicates of the original dataset. Each duplicate has two classes, one from original dataset and one created by clubbing rest of the classes together.
2. One vs One approach: Here if there are n classes then create n(n-1)/2 number of datasets by splitting the original dataset. Each dataset contains two classes from the original dataset.