Photo by Karsten Winegeart on Unsplash

Precision and recall are the two terms which confused me a lot in my machine learning path. These terms sound easy but they are not as easy as they sound. And the high-level definition provided in most of the blogs are way out of my understanding, actually I never find those definitions easy to understand. So, I tried to find some other way to understand these terms with real world example.

Ok, enough of talking. Let’s start with where to use precision and recall instead of accuracy.

So, take an example where you got an imbalanced data for skin cancer…

shubham chauhan

A Mechanical engineering guy doing computer science stuff. Let me know if you have any opportunity for me. LinkedIn:

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