2023
Precision/Recall on Imbalanced Test Data
AISTATS 2023poster
In this paper we study the problem of estimating accurately the precision and recall for binary classification when the classes are imbalanced and only a limited number of human labels are available. One common strategy is to over-sample the small positive class predicted by the classifier. Rather t…