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I observed that Adaboost or Bagging ensemble classifiers present in sklearn only work for single label training data. How do I use these for multilabel data?

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It turns out the Adaboost or VotingClassifier doesn't work for multilabel classification data. We get a NotImplementedError. I believe they are working towards it and might be out in next version or so.

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