[MRG] Added metrics support for multiclass-multioutput classification

Fix for #3453 
Ping @arjoly . Added support for `zero_one_loss` and `accuracy_score`

Actually, this is equivalent to densify the matrix. A numpy array is generated from the sparse array. The difference with todense is that it outputs directly a numpy array instead of a numpy matrix (format that we avoid in scikit-learn).