[MRG] Added metrics support for multiclass-multioutput classification

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

Regarding this list, the regression metrics will work on multiclass-multioutput data type. However, this is not meaningful. I would loop only over threshold-based and classification metrics.

Note that as a far as I know, `"unnormalized_jaccard_similarity_score"` and `"jaccard_similarity_score"` are undefined in multiclass-multioutput and should return a ValueError.

The metrics `"unnormalized_accuracy_score"`, `"unnormalized_zero_one_loss"` are the unnormalized counterpart of `"accuracy_score", "zero_one_loss"` and should support multiclass-multioutput format. You can add those two metrics to `METRICS_WITH_MULTICLASS_MULITOUTPUT`.