title: What values are returned from model.evaluate() in Keras?
body: <p>I've got multiple outputs from my model from multiple Dense layers. My model has <code>'accuracy'</code> as the only metric in compilation. I'd like to know the loss and accuracy for each output. This is some part of my code.</p>
  
  <pre><code>scores = model.evaluate(X_test, [y_test_one, y_test_two], verbose=1)
  </code></pre>
  
  <p>When I printed out the scores, this is the result.</p>
  
  <pre><code>[0.7185557290413819, 0.3189622712272771, 0.39959345855771927, 0.8470299135229717, 0.8016634374641469]
  </code></pre>
  
  <p>What are these numbers represent?</p>
  
  <p>I'm new to Keras and this might be a trivial question. However, I have read the docs from Keras but I'm still not sure.</p>