[TBD]Handling multi class classification in machine learning

Introduction

Laymen explanation

Some algorithms (such as Random Forest classifiers or naive Bayes classifiers) are capable of handling multiple classes directly. Others (such as Support Vector Machine classifiers or Linear classifiers) are strictly binary classifiers.

Technical explanation

Approaches

One-versus-all (OvA) strategy

One-versus-one (OvO) strategy

If there are N classes, you need to train N × (N – 1) / 2 classifiers.

Reference

https://images.app.goo.gl/fvHpGkjQGtFq8RQY7

https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291

https://images.app.goo.gl/XSBL2YKZVQtp8QA4A