<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<oembed>
  <author_name>chaos_kiyono</author_name>
  <author_url>https://blog.hatena.ne.jp/chaos_kiyono/</author_url>
  <blog_title>Ken-Chaos’s Random Notes on R</blog_title>
  <blog_url>https://chaos-r.hatenadiary.jp/</blog_url>
  <categories>
  </categories>
  <description>In this post, I explain how to use the R script provided at the end of this guide, which implements Support Vector Machine (SVM). 1. What is a Support Vector Machine? The Margin The Soft Margin and the C Parameter The Kernel Trick 2. Key SVM Concepts 3. The Dataset 4. Script Overview 5. Section-by-S…</description>
  <height>190</height>
  <html>&lt;iframe src=&quot;https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F04%2F21%2F222722&quot; title=&quot;Support Vector Machines in R: A Step-by-Step Guide to Binary Classification with Variable Selection - Ken-Chaos’s Random Notes on R&quot; class=&quot;embed-card embed-blogcard&quot; scrolling=&quot;no&quot; frameborder=&quot;0&quot; style=&quot;display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;&quot;&gt;&lt;/iframe&gt;</html>
  <image_url>https://cdn-ak.f.st-hatena.com/images/fotolife/c/chaos_kiyono/20260421/20260421221937.png</image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2026-04-21 22:27:22</published>
  <title>Support Vector Machines in R: A Step-by-Step Guide to Binary Classification with Variable Selection</title>
  <type>rich</type>
  <url>https://chaos-r.hatenadiary.jp/entry/2026/04/21/222722</url>
  <version>1.0</version>
  <width>100%</width>
</oembed>
