title: What's the difference between plane separation and decision boundary in a support vector classifier?
body: <p>I just began learning the main ML algorithms and started with supervised learning. The course im at keeps describing the <em>plane separation</em> as the vector (2D example)and the decision boundary as the separation between the two categories.</p>
  
  <p><img src="https://i.stack.imgur.com/jsl7d.png" alt="screenshot"></p>