I am trying to build a supervised multi label predictor.
I have tried using a liblinear binary classifier with a model per label but I am not getting good results probably because the training data is very sparse (many of the input documents do not have any labels).
Does someone know if there is a better algorithm I can use for sparsely labelled data?
