Introduction to the Confusion Matrix in Classification

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