The True Positive Rate (TPR), also known as sensitivity or recall, measures the proportion of actual positives that are correctly identified by a binary classification model. It is crucial for evaluating the performance of models in contexts where missing positive instances can have severe consequences, such as medical diagnoses or fraud detection.