title: Using scikit to determine contributions of each feature to a specific class prediction
body: <p>I am using a scikit extra trees classifier:</p>
  
  <pre><code>model = ExtraTreesClassifier(n_estimators=10000, n_jobs=-1, random_state=0)
  </code></pre>
  
  <p>Once the model is fitted and used to predict classes, I would like to find out the contributions of each feature to a specific class prediction. How do I do that in scikit learn? Is it possible with extra trees classifier or do I need to use some other model?</p>