Precision, Recall and F1 Introduction

You may have come across the terms “Precision, Recall and F1” when reading about Classification Models and machine learning. In this Data Science in Minutes tutorial, we will explain what Precision, Recall and F1 are, and when you can use each for measuring the accuracy of your model!

Next video:
Introduction to Clustering

Previous video:
Introduction to the Confusion Matrix

More Data Science Material:
[Video] Machine Learning – Building Robust Models
[Video] Building a Business Case for Your Machine Learning Idea
[Blog] Which Machine Learning Tools Should I Learn?

(172)

Rebecca Merrett
About The Author
- Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney, and is undertaking her post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in writing for tech publications.

Start the discussion at discuss.datasciencedojo.com