title: Understanding estimator.evaluate and outputting comparisons
body: <p>Thanks for your help tensorflow community!</p>
  
  <p>I have a question regarding understanding and visualizing the output of the estimator's evaluate function.</p>
  
  <p>I have a DNNClassifier and have trained it on data with 10 output ranges predictions can go into.</p>
  
  <p>After training and running </p>
  
  <p><code>accuracy = classifier.evaluate(input_fn = test_input_fn)['accuracy']</code></p>
  
  <p>I see my accuracy as 33.8%.  Which who knows how good that is. (Probably not good)</p>
  
  <p>How can I see the output of each of the comparisons?</p>
  
  <p>As the test_data is ran I would like to see what the estimate is, and what the actual value is.  Basically a side by side of y and y'.</p>
  
  <p>something like: [0 0 0 0 0 0 0 0 1] vs [0 0 0 0 0 0 0 0 1 0] 'false'</p>
  
  <p>Rather than just seeing the aggregated overall accuracy.</p>
  
  <p>Thanks!</p>