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  • 28 January 2019
Machine Learning

Introduction to the Confusion Matrix in Classification

Agenda

A confusion matrix, also known as an error matrix, uses a special table to help visualize the performance of your classification model. That way, you can easily see how successful your model was when predicting the class.

What you’ll learn

  • Overview of what a confusion matrix is, how to create your matrix, and why you should use it
  • True positives and negatives, target classes, and predictive models
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Rebecca Merrett
Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney and a post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications.

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