Training vs Testing vs Validation Sets

Discussing the difference between training, testing and validation data in the context of Machine Learning

Giorgos Myrianthous
Towards Data Science
4 min readAug 3, 2021

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Photo by Johannes Groll on Unsplash

Introduction

In Machine Learning projects, we typically need to consider multiple models before picking the final that will eventually be used to perform predictions on real-world data.

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I strive to build data-intensive systems that are not only functional, but also scalable, cost effective and maintainable over the long term.