F-score results for Cross Validation on Multi-target data

[bundit786]

Hi Meka development team,

I have tried to evaluate a model for a multi-target dataset and would like to get the F-score result for individual target outputs with cross validation. Using Meka, it gives the accuracy but no F-score (Precision, Recall). Is there any way that I can produce the metric for this evaluation? I tried with Python's Sci-kit library but it doesn't support for multi-target data as well. Thanks in advance.

[fracpete]

F1 is not implemented for multi-target (I don't do multi-label/-target, so not sure whether it is even possible in general).

Here are the implementations:

• multi-label stats get generated by MLEvalUtils.getMLStats
• multi-target stats get generated by MLEvalUtils.getMTStats