Confusion Matrix

When solving a machine learning classification problem, a confusion matrix (a.k.a error matrix) is a table which allows visualization and understanding of the performance of an algorithm. Each row of the matrix represents the instances in a predicted class, while each column represents the instances in an actual class. The name comes from the idea that this matrix shows if the model confuses two classes.

small_c_popup.png

Join the innovative enterprises using cnvrg.io to build, train & deploy their models faster.

schedule a demo today

Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity

Download cnrvg CORE for Free

By submitting this form, I agree to cnvrg.io’s
privacy policy and terms of service.