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in Machine Learning by
Q:
What’s the F1 score? How would you use it?

1 Answer

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The F1 score is a measure of a model’s performance. It is a weighted average of the precision and recall of a model, with results tending to 1 being the best, and those tending to 0 being the worst. You would use it in classification tests where true negatives don’t matter much.

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