python - How sklearn calculated f-core for multi-label data? -


as far know there 2 ways calculate f-score multi-label data. in exact match want classifier predict every label correctly. way consider prediction correct long gets 1 correct label. want know how sklearn metrics (f-score, recal, precision) calculated?


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