3 ways to design effective classes in ML Classification Algorithms

Nitin Pasumarthy
7 min readJul 15, 2019

In this post we are going to see three ways to affectively design the target classes in classification problems using the properties of the training data alone.


Classification is an area in Machine Learning (ML) where the machine is tasked to learn to categorize a given input. For example, given an image, the machine should return the category the image belongs to.