title: How I can get f1 score, precision and recall, on a multiclass-multioutput problem?
body: <p>I am working on a NLP multiclass-multiouput classification problem.</p>
  
  <p><a href="https://i.stack.imgur.com/HQdU9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/HQdU9.png" alt="Prediction"></a></p>
  
  <p>Here is the output prediction and the shape is (6546, 36), it's a 36 class classification problem.</p>
  
  <p>I tried to use <code>classification_report</code> to get the scores and error shows <code>multiclass-multioutput is not supported</code>.</p>
  
  <p>I am wondering anyone can help with this type of problem. I just trying to get a sense how the model work and to improve the model from there.</p>
  
  <p>If there is any better score can evaluate this type of problem, please let me know as well.</p>
  
  <p>Thank you guys in advance.</p>
  
  <p><a href="https://i.stack.imgur.com/y6v6t.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/y6v6t.png" alt="Error Message"></a></p>