A false positive is a term used in statistics and is commonly applied in fields like machine learning, data analysis, or security. It refers to a situation where a test or system incorrectly indicates that a specific event or condition has occurred when, in fact, it hasn't.
It is the opposite of a false negative, where a real event or condition is missed.