title: When should one use LinearSVC or SVC?
body: <p>From my research, I found three conflicting results:</p>
  
  <ol>
  <li><a href="https://stackoverflow.com/questions/33843981/under-what-parameters-are-svc-and-linearsvc-in-scikit-learn-equivalent"><code>SVC(kernel="linear")</code> is better</a></li>
  <li><a href="https://gist.github.com/denzilc/987394" rel="noreferrer"><code>LinearSVC</code> is better</a></li>
  <li><a href="https://stackoverflow.com/questions/34811770/linearsvc-differs-from-svckernel-linear">Doesn't matter</a></li>
  </ol>
  
  <p>Can someone explain when to use <code>LinearSVC</code> vs. <code>SVC(kernel="linear")</code>?</p>
  
  <p>It seems like LinearSVC is marginally better than SVC and is usually more finicky. But if <code>scikit</code> decided to spend time on implementing a specific case for linear classification, why wouldn't <code>LinearSVC</code> outperform <code>SVC</code>?</p>