In machine learning, particularly in the field of classification, the confusion matrix is a useful tool for evaluating the performance of a binary classifier. It is a 2×2 table that helps to understand the accuracy of a classifier by comparing the predicted labels with the actual labels. https://kncmap.com/understanding-the-confusion-matrix-in-machine-learning/