ys-zong / MEDFAIR

[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
https://ys-zong.github.io/MEDFAIR/
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Baseline results on Chexpert #13

Closed miladmasroor closed 3 months ago

miladmasroor commented 3 months ago

I ran the baseline method on Chexpert using the default options (ERM with ResNet18) and I'm getting results that are much better than reported in the paper. For example, for the sex attribute, I'm getting Overall AUC of 0.87, min AUC of 0.86 and gap of 0.02. The paper shows Overall AUC of 0.88, but a gap of 0.10. Could there be a default option that is set to help the baseline method to be less biased?

ys-zong commented 3 months ago

In Table A9 of the paper, the reported gap of AUC (ERM, CheXpert, sex attribute) is 0.02%, not 0.10. image

miladmasroor commented 3 months ago

I apologize for the mistake. You are correct; the reported gap of AUC (ERM, CheXpert, sex attribute) is indeed 0.02%, not 0.10%. Thank you for pointing that out.