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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interpretable Classification Models for Recidivism Prediction · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1503.07810/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1503.07810/feed.xml" rel="self" type="application/rss+xml" /><item><title>Interpretable Classification Models for Recidivism Prediction — mentioned by thedrake</title><link>https://news.ycombinator.com/item?id=16634027</link><guid isPermaLink="false">urn:hackerpapers:mention:1503.07810:16634027</guid><pubDate>Wed, 21 Mar 2018 00:07:38 GMT</pubDate><description>&lt;p&gt;Recidivism rule sets using baysein methods is outlined here that provide transparent methods for accurate predictions. https://arxiv.org/pdf/1503.07810.pdf and her talk about it here https://youtu.be/MjxcwKN2dXs Having personally spent 2301 days in prison 19-26yrs old I found that many factors are at play in those who return. Truly look forward to what you are looking to accomplish and am open to helping however I can.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1503.07810/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
