Binary Classification

Indicates that there are only two categories in the classification task, for example, we want to identify whether a picture is a cat or not.

That is, train a classifier, input a picture, represented by the feature vector x, and output whether it is a cat, represented by y = 0 or 1; two-category classification assumes that each sample is set with one and only one label 0 or 1.