Understanding Model Calibration in Machine Learning

A simple step that many ML partitioner missed.

Photo by Markus Winkler on Unsplash

As a data scientist, it’s important to make sure that the models you build are accurate and reliable. One way to ensure this is through a process called model calibration. In this article, we’ll explore what model calibration is, why it’s important, and how to do it using a logistic regression model as an example.