The process of classifying examples to categories. In the context of ML, Classification is a supervised learning process where an algorithm learns given data and then uses it in order to classify new observations. (Unlike regression which uses continuous numerical labels.) Examples: an email of text can be classified as belonging to one of two classes: “spam” and “not spam”.
Next: True Negative (TN)