Where do rejected applicants go? Reject inference and rejectkit
Article summary
Quick briefing — cleaned from the original RSS feed
Originally published at han-co.com · Code: GitHub · Part of the "Deep Dive" strand of my Credit & Finance Data Science series. (The original also has a hand-drawn diagram.) In Part 4 I touched on reject inference briefly. The point was that a model built on approved customers alone becomes biased once you apply it to the full applicant pool. This post is a record of writing that reject inference in code. I bundled the classic techniques together and, above all, built a library that also…
1Key Takeaways
- Originally published at han-co.com · Code: GitHub · Part of the "Deep Dive" strand of my Credit & Finance Data Science series.
- (The original also has a hand-drawn diagram.) In Part 4 I touched on reject inference briefly.
- The point was that a model built on approved customers alone becomes biased once you apply it to the full applicant pool.
- This post is a record of writing that reject inference in code.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that originally published at han-co.com · Code: GitHub · Part of the "Deep Dive" strand of my Credit & Finance Data Science series.
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