True Positive Rate

True Positive Rate (TPR), also known as sensitivity or recall, is a statistical measure that represents the proportion of actual positive cases that are correctly identified as positive by a binary classification model. TPR is calculated as the ratio of true positives to the sum of true positives and false negatives. It is an important metric in evaluating the performance of a model, especially in cases where the cost of false negatives is high. A high TPR indicates that the model is able to correctly identify most of the positive cases, while a low TPR indicates that the model is missing a significant number of positive cases.
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