AdaBoostClassifier with Random Forests for multilabel classification (sklearn)

Question

I am trying to use AdaBoostClassifier with RandomForestClassifier on a multiclass multilabel problem/

I understand that AdaBoostClassifier supports multilabel output (wrong, it doesn't!), where y is the 'True labels for X'. Where am I going wrong please? Thanks!

Answer 1

There is no multi-label version of AdaBoost and the label should be the shape of samples number. To classify with multi-label data, you can refer some relative paper methods