<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Feature-Importance on The Standard Error</title><link>https://jongha-jeon-dev.github.io/standarderror/tags/feature-importance/</link><description>Recent content in Feature-Importance on The Standard Error</description><generator>Hugo -- 0.123.7</generator><language>en-gb</language><lastBuildDate>Mon, 12 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jongha-jeon-dev.github.io/standarderror/tags/feature-importance/index.xml" rel="self" type="application/rss+xml"/><item><title>ML 12: Impurity Importance Rewards Features With Many Places to Split</title><link>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-12-impurity/</link><pubDate>Mon, 12 Oct 2026 00:00:00 +0000</pubDate><guid>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-12-impurity/</guid><description>A forest&amp;#39;s default feature importance is computed on the data it was fitted to. On a design where the answer is known, it never ranks the only useful feature first, and ranks it last in 19 of 20 datasets.</description></item><item><title>ML 16: Permutation Importance Measures the Model, Not What the Data Need</title><link>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-16-permutation/</link><pubDate>Mon, 12 Oct 2026 00:00:00 +0000</pubDate><guid>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-16-permutation/</guid><description>Shuffle a column and see how much worse the model does: it is the importance episode 12 recommended. It answers a narrower question than it seems to, on rows the shuffle invented.</description></item></channel></rss>