- machine learning
Introduction to the confusion matrix in classification
Rebecca Merrett
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