false positive
An example in which the model mistakenly predicts the positive class.
Plain English Explanation
An example in which the model mistakenly predicts the positive class. For example, the model predicts that a particular email message is spam (the positive class), but that email message is actually not spam. See Thresholds and the confusion matrix in Machine Learning Crash Course for more information.
How is it used?
Practitioners refer to false positive when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.