Machine Learning Intermediate
true negative
An example in which the model correctly predicts the negative class.
Plain English Explanation
An example in which the model correctly predicts the negative class. For example, the model infers that a particular email message is not spam, and that email message really is not spam.
How is it used?
Practitioners refer to true negative when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.