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並前往http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html

sklearn.metrics.f1_score — scikit-learn 1.0.1 documentation

The F1 score can be interpreted as a harmonic mean of the precision and recall, where an F1 score reaches its best value at 1 and worst score at 0.

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