Audit: German Credit Lending Bias#1
Merged
Merged
Conversation
Updated README to enhance clarity and fix formatting issues.
Added badges for Python, scikit-learn, License, and Status.
Contributor
|
@AaravvSharma1 is attempting to deploy a commit to the yashkewlani2020-gmailcom's projects Team on Vercel. A member of the Team first needs to authorize it. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Dataset: UCI German Credit / Statlog — https://www.kaggle.com/datasets/ppb00x/credit-risk-customers — public domain, no login required
Bias type: Age — young applicants (<30) flagged as bad credit at significantly higher rates than older applicants with identical financial profiles
Before: 7.16% gap | After: 1.89% gap | Reduction: 73.6%
Proxy variable: employment (tenure). Young applicants have <1yr tenure at 2.4x the rate of older applicants; older applicants have >=7yr tenure at 4.9x the rate of young. Tenure is structurally determined by age — dropped alongside age in the fair model.