Include additional classification metrics

[nrkarthikeyan]

Include the following metrics:

1. Equalized odds difference: max(|FPR_unpriv - FPR_priv|, |TPR_unpriv - TPR_priv|)
2. Generalized equalized odds difference: max(|GFPR_unpriv - GFPR_priv|, |GTPR_unpriv - GTPR_priv|)
3. Generalized selection rate: mean score possibly conditioned by the group E[\hat{S}]

[nrkarthikeyan]

This can be implemented for the "classic":
https://github.com/Trusted-AI/AIF360/blob/master/aif360/metrics/classification_metric.py

as well as the sklearn-compatible:
https://github.com/Trusted-AI/AIF360/blob/master/aif360/sklearn/metrics/metrics.py

versions

[divyagaddipati]

Hi! Working on this issue. Can I get assigned to this?

[divyagaddipati]

what does "generalized selection rate" mean? I couldn't find much about it anywhere