👉 Counterclassifications is a term used in statistics and machine learning, specifically in the context of classifying data. It refers to instances where a classifier's predictions are not entirely accurate due to sampling or noise errors. Counterclassifications can be seen as "false positives" (incorrectly labeling positive samples) or "false negatives" (incorrectly labeling negative samples).
