title: What is the difference between "OneVsRestClassifier" (Scikit-learn) and "Binary Relevance" (Scikit-multilearn)?
body: <p>In scikit-learn, there is a strategy called <code>sklearn.multiclass.OneVsRestClassifier</code>, which can be used for both multiclass and multilabel problems. According to its <a href="https://scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html" rel="nofollow noreferrer">documentation</a>:</p>
  
  <blockquote>
    <p>"In the multilabel learning literature, OvR is also known as the binary relevance method".</p>
  </blockquote>
  
  <p>My question is,</p>
  
  <p>Is there is any difference between this scikit-learn strategy and <code>skmultilearn.problem_transform.BinaryRelevance</code>?</p>
  
  <p>Thank you in advance.</p>