Why only Micro-F1? Class Weighting of Measures for Relation Classification. (arXiv:2205.09460v1 [cs.CL])

Relation classification models are conventionally evaluated using only a
single measure, e.g., micro-F1, macro-F1 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.

arxiv classification f1