title: How to get accuracy of each class in Tensorflow Estimator
body: <p>I'm using Estimator in Python3 based on Premade Estimator from example </p>
  
  <blockquote>
    <p>(<a href="https://www.tensorflow.org/get_started/premade_estimators" rel="noreferrer">https://www.tensorflow.org/get_started/premade_estimators</a>).</p>
  </blockquote>
  
  <p>I normally train the network and then evaluate.
  As the result of <em>classifier.evaluate(...)</em> I get python dictionary, e.g.:</p>
  
  <pre><code>eval_result = {'loss': 14.673522, 'average_loss': 0.1470208, 'accuracy': 0.9460823, 'global_step': 1000}
  </code></pre>
  
  <p>But <strong>how</strong> can I <strong>get</strong> the <strong>accuracy of each output class</strong> from classifier? I need accuracy array e.g. like: <code>class = [0.924012,0.89478,0.945123,0.685042]</code>                    </p>