# Introduction to the Confusion Matrix

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. In this introduction, we give you a brief overview of what a confusion matrix is, how to create your matrix, and why you should use it.

Topics include: true positives and negatives, target classes, and predictive models.

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