Machine Learning & Training

What Is a Confusion Matrix?

A confusion matrix is a table that summarizes the performance of a classification model by comparing predicted labels to actual labels. It shows counts of true positives, true negatives, false positives, and false negatives. From these values, metrics such as precision, recall, and accuracy can be calculated.