title: How do I sort by predicted probability in a binary classifer?
body: <p>I trained a binary classifier and can get a good score.</p>
  
  <pre><code>reviews['prediction'] = model.predict(reviews.review.astype(str))
  model.score(reviews.review.astype(str), reviews.sentiment)
  model.predict_proba(reviews.review.astype(str))
  </code></pre>
  
  <p>I get the probability in an array when I print the predict_prob</p>
  
  <pre><code>array([[ 0. ,  1. ],
         [ 0. ,  1. ],
         [ 0.7,  0.3],
         ..., 
         [ 0. ,  1. ],
         [ 0. ,  1. ],
         [ 0. ,  1. ]])
  </code></pre>
  
  <p>How do I take the highest probability and append it to the data frame just like I did with the class?</p>