The True Positive Rate (TPR), commonly referred to as sensitivity, is a key metric employed to assess the performance of binary classification models. It is calculated as the ratio of the number of correctly predicted positive instances to the total number of actual positive instances.
In a binary classification scenario, a positive instance represents an example that the model classifies as positive, and a negative instance is one classified as negative. The TPR specifically measures the proportion of positive instances that the model accurately classifies.