title: Selecting Best Features in a feature vector using Adaboost
body: <p>I've read some documentation on how Adaboost works but have some questions regarding it.</p>
  
  <p>I've also read that Adaboost also <strong>picks best features from data</strong> apart from <strong>weighting weak classifiers</strong> to and use them in testing phase to perform classification efficiently. </p>
  
  <p><strong>How does Adaboost pick best features from the data?</strong></p>
  
  <p>Correct me if my understanding of <strong>Adaboost</strong> is wrong!</p>