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
We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!