+A **True Positive** marks a correct prediction where an instance is both predicted and actually positive. It signifies a successful detection, validating the model's identification of the target condition. This metric is fundamental in evaluating classification systems, often alongside [False Positive](/wiki/False_Positive) and [True Negative](/wiki/True_Negative).
+## See also
+- [False Positive](/wiki/False_Positive)
+- [True Negative](/wiki/True_Negative)
+- [Binary Classification](/wiki/Binary_Classification)
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