title: Alternatives for SVMs
body: <p>In the disadvantages of SVM <a href="http://scikit-learn.org/stable/modules/svm.html" rel="nofollow">they say</a> </p>
  
  <blockquote>
    <p>If the number of features is much greater than the number of samples,
    the method is likely to give poor performances.</p>
  </blockquote>
  
  <p>What is a good alternative in such case ?  </p>