title: Keras "acc" metrics - an algorithm
body: <p>In Keras I often see people compile a model with mean square error function and "acc" as metrics.</p>
  
  <pre><code>model.compile(optimizer=opt, loss='mse',  metrics=['acc'])
  </code></pre>
  
  <p>I have been reading about acc and I can not find an algorithm for it? </p>
  
  <ol start="2">
  <li>What if I would change my loss function to binary crossentropy for an example and use 'acc' as metrics? Would this be the same metrics as in first case or Keras changes this acc based on loss function - so binary crossentropy in this case?</li>
  </ol>