Also known as: true positive (TP) Β· TP
TP (true positive) is an outcome in binary classification where the model correctly predicts the positive class. It indicates that a condition, event, or label is present and the model successfully identifies it as present.
A "true positive" refers to an inference where the model correctly identifies a positive class. For example, if a model is trained to identify customers who will purchase a jacket, a true positive would be correctly predicting that a customer will make such a purchase.
An example in which the model correctly predicts the positive class. For example, the model infers that a particular email message is spam, and that email message really is spam.