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True Positive Rate

True Positive Rate (TPR), also known as sensitivity or recall, is a metric used in statistics and machine learning to measure the proportion of actual positives that are correctly identified by a model. It's crucial in evaluating the performance of classification algorithms.

Understanding True Positive Rate

TPR is calculated as the number of true positives divided by the sum of true positives and false negatives. For example, in medical testing, TPR indicates how many sick individuals are correctly identified as sick by the test.

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