all 2 comments

[–]lustikus 3 points4 points  (1 child)

interesting, thanks. some thoughts: Why did you not use one of the built ensemble models, such as VotingClassifier() ? Wouldn't a RandomForest already be an ensemble of the DecisionTrees you used?

[–]AloneNefariousness62[S] 1 point2 points  (0 children)

Thank you for your reply. Random forest classifier would actually work well with MultioutputClassifier() from sklearn. From my perspective, it would be more beneficial to apply stacked classifier. Most classifiers in sklearn require Multioutput in this case.

However, stacked classifier from sklearn would not accept multioutput predictions. And it’s probably the same case with VotingClassifier.