One vs Rest or One vs All Multi Class Classification

#machine-learning #interview

This method is used to extend a binary class classifier to classify multiple classes.

So for $K$ classes, we will train $K$ models

1 model for each class
And for model $i$ , it will predict if the instance is of class $i$ or not
In other way, class $i$ is fighting with all other or rest of the classes
Thats why it is called one-vs-rest or one-vs-all method
The final prediction is the $a r g m a x$ of the all pr

Related Notes