A Note on Comparison of F-measures
arXiv:2112.04677v1
Originality Synthesis-oriented
AI Analysis
This is an incremental contribution for researchers evaluating classification algorithms on imbalanced datasets.
The paper critiques a recent TKDE paper on linear approximation of F-measure for imbalanced data, proposing two improvements for comparing F-measures between prediction rules.
We comment on a recent TKDE paper "Linear Approximation of F-measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets", and make two improvements related to comparison of F-measures for two prediction rules.