title: MAXent classifier NLTK output understand
body: <p>I am trying to understand the <code>classifier.show_most_informative_features(10)</code> for MAXent classfier. I don't understand what the columns indicate, for example in the following output:</p>
  
  <pre><code>train on 460 instances, test on 154 instances accuracy: 0.61038961039 
  pos precision: 0.432989690722 
  pos recall: 0.893617021277 
  neg precision: 0.912280701754 
  neg recall: 0.485981308411    
  -4.141 need==True and label is 'REL'    
  3.395 approves==True and label is 'IRREL'   -
  3.308 took==True and label is 'IRREL' 
  -1.766 treat==True and label is 'REL' 
  -1.488 tired==True and label is 'IRREL' 
  -1.295 gave==True and label is 'IRREL' 
  0.879 need==True and label is 'IRREL' 
  </code></pre>