title: How to return average score for precision, recall and F1-score from Sklearn Classification report?
body: <p>I computed precision, recall and F1-score with Sklearn and get result as below:</p>
  
  <pre><code>               precision    recall  f1-score   support
  
            0       0.82      0.87      0.84      2517
            1       0.86      0.81      0.83      2483
  
  avg / total       0.84      0.84      0.84      5000
  </code></pre>
  
  <p>I tried this code:</p>
  
  <pre><code> print("precision_score: ",precision_score(test_y, predicted))
   print("recall_score: ",recall_score(test_y, predicted))
   print("f1_score: ",f1_score(test_y, predicted))
  </code></pre>
  
  <p>It shows p, r and f1 for label 1. </p>
  
  <pre><code> precision_score:  0.857692307692
   recall_score:  0.808296415626
   f1_score:  0.832262077545
  </code></pre>
  
  <p>But how can I return the value for avg/total only?</p>