True Positives
In the context of machine learning and data science, True Positives refer to the number of correct positive predictions made by a model. It is a statistical measure that evaluates the accuracy of a binary classification model. For example, in a medical diagnosis scenario, a true positive would be when the model correctly identifies a patient as having a particular disease when they actually do have it. True positives are important because they help to determine the precision and recall of a model, which are key metrics in evaluating its performance.
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