<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>算法风控 on 于汝川的个人网站</title><link>https://ruchuan.org.cn/tags/%E7%AE%97%E6%B3%95%E9%A3%8E%E6%8E%A7/</link><description>Recent content in 算法风控 on 于汝川的个人网站</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 17 Dec 2019 00:00:00 +0000</lastBuildDate><atom:link href="https://ruchuan.org.cn/tags/%E7%AE%97%E6%B3%95%E9%A3%8E%E6%8E%A7/index.xml" rel="self" type="application/rss+xml"/><item><title>阳性的误区</title><link>https://ruchuan.org.cn/posts/mathlab-false-positive-paradox/</link><pubDate>Tue, 17 Dec 2019 00:00:00 +0000</pubDate><guid>https://ruchuan.org.cn/posts/mathlab-false-positive-paradox/</guid><description>&lt;p>如果一份体检报告告诉你某种罕见病的检测准确率高达 $99%$，且你的检测结果呈阳性，先别忙着交代后事——因为从数学上看，你实际患病的概率可能连 $10%$ 都不到。&lt;/p></description></item></channel></rss>