title: How to get the graph between false acceptance rate and false rejection rate for the mnist dataset in python code
body: <p>I need to find the False acceptance rate and false rejection rate for this 10*10 confusion matrix I got for the mnist digit classification and then I need to plot graph between them.
  here is my code for the confusion matrix:</p>
  
  <pre><code>test_predictions = model.predict_classes(test_images)
  
  from sklearn.metrics import confusion_matrix
  
  cm = confusion_matrix(y_true = test_labels, y_pred = test_predictions)
  print(cm)
  </code></pre>