negativesmissed
negativesmissed is a term sometimes used in discussions related to statistical analysis and machine learning. It refers to instances where a negative case, which should have been identified as such, is incorrectly classified as positive. This is a type of error in classification.
In the context of binary classification, where an outcome can be either positive or negative, a true
The impact of missed negatives can vary significantly depending on the application. For example, in medical