<?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>Partial-Dependence on The Standard Error</title><link>https://jongha-jeon-dev.github.io/standarderror/tags/partial-dependence/</link><description>Recent content in Partial-Dependence 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/partial-dependence/index.xml" rel="self" type="application/rss+xml"/><item><title>ML 17: Partial Dependence Asks the Model About Rows That Do Not Exist</title><link>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-17-pdp/</link><pubDate>Mon, 12 Oct 2026 00:00:00 +0000</pubDate><guid>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-17-pdp/</guid><description>A partial dependence plot is read as a feature&amp;#39;s effect. With correlated inputs it is an average over combinations that never occur, and on a simulation with a known effect a forest&amp;#39;s shows about a third of it.</description></item></channel></rss>