title: Jaccard similarity score ValueError: multiclass-multioutput is not supported Python
body: <p>I want to calculate the jaccard index of two lists or sets of words.
  I have values as follow:</p>
  
  <pre><code>list1: [('Golden', 0.35036513209342957), ('waking', 0.3429567813873291), ('Keep', 0.34041523933410645), ('Lying', 0.33063751459121704), ('washed', 0.3259369730949402), ('wedged', 0.32253023982048035), ('enjoyment', 0.32023900747299194), ('mid-December', 0.31836390495300293), ('whispered', 0.3126818835735321), ('jittery', 0.31083038449287415)]
  </code></pre>
  
  <p>If I compute <code>jaccard_similarity_score(list1,list2)</code> I get this error <code>ValueError: multiclass-multioutput is not supported</code>.</p>
  
  <p>I tried also to use sets like that:</p>
  
  <pre><code>set1=set()
  set2=set()
  
  for el in list1:
      set1.add(el[0])
  for el in list2:
      set2.add(el[0])
  j=jaccard_similarity_score(set1,set2)
  </code></pre>
  
  <p>but I get this error <code>ValueError: Expected array-like (array or non-string sequence), got set(['whispered', 'Golden', 'enjoyment', 'washed', 'wedged', 'Keep', 'mid-December', 'jittery', 'waking', 'Lying'])
  </code>
  What am I doing wrong?</p>