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Evaluation metrics for multi label classifiers #558

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@amueller

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@amueller

As far as I can tell, these are completely missing.
I feel this makes the multi label classifiers much less useful.

I am not sure what common measure there are but two that seem natural to me would be Hamming loss (how many classes per example were correct?) and 0-1 loss (for how many examples were all classes correct).

At least these are two losses that are commonly used in structured prediction afaik.

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