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Include additional classification metrics #88

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nrkarthikeyan opened this issue Jun 4, 2019 · 5 comments · Fixed by #477
Open

Include additional classification metrics #88

nrkarthikeyan opened this issue Jun 4, 2019 · 5 comments · Fixed by #477
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good first issue Good for newcomers medium Intermediate skill level may be needed metrics Fairness metric

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@nrkarthikeyan
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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 nrkarthikeyan self-assigned this Jun 4, 2019
@nrkarthikeyan nrkarthikeyan removed their assignment Aug 24, 2019
@nrkarthikeyan nrkarthikeyan added the enhancement New feature or request label Apr 21, 2021
@nrkarthikeyan nrkarthikeyan added the good first issue Good for newcomers label Aug 25, 2022
@nrkarthikeyan
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@nrkarthikeyan nrkarthikeyan added easy Beginner issues metrics Fairness metric medium Intermediate skill level may be needed and removed enhancement New feature or request easy Beginner issues labels Sep 15, 2022
@divyagaddipati
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Hi! Working on this issue. Can I get assigned to this?

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

@hoffmansc
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Status:

Classic:

  • Equalized odds difference
  • Generalized equalized odds difference
  • Generalized selection rate

sklearn:

  • Equalized odds difference
  • Generalized equalized odds difference
  • Generalized selection rate

@emilymacq
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Hi! This PR addresses the equalized odds difference and generalized equalized odds difference for sklearn.

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Labels
good first issue Good for newcomers medium Intermediate skill level may be needed metrics Fairness metric
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4 participants