True Positive
In the context of data science and machine learning, a true positive is an outcome where the model correctly predicts the positive class. For example, in a binary classification problem where the positive class represents a certain disease, a true positive would be when the model correctly identifies a patient as having the disease. True positives are important in evaluating the performance of a model, as they indicate the model's ability to correctly identify the target class. The true positive rate (TPR) is a commonly used metric to measure the proportion of actual positives that are correctly identified by the model.
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