I have been struggling with a problem for a few weeks now and I hope someone can help here: I have a data set with one continuous variable and the rest are categorical. I managed to encode the categorical variables and would like to build a multi output classifier. I have these features in my data set : A, B I would like to predict : C,D,E,F, G
I spent days on the documentation on multi-output classifiers on the scikitlearn and here but none of the documentation seems clear to me. Can anyone please point me in the right direction to find some sample code on how to create the classifier and predict with some sample data? Thank you in advance
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