Why only Micro-F1? Class Weighting of Measures for Relation Classification
David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt · 2022
Relation classification models are conventionally evaluated using only a single measure, e.g., micro-F 1 , macro-F 1 or AUC.In this work, we analyze weighting schemes, such as micro and macro, for imbalanced datasets.We introduce a framework for weighting schemes, where existing schemes are extremes, and two new intermediate schemes.We show that reporting results of different weighting schemes better highlights strengths and weaknesses of a model.