Precision and Recall

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Recall measures how likely a given system returns the information you are looking for.
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Precision measures the amount of relevant information returned. In general, increasing the precision tends to reduce its recall efficiency and vice versa.

 

If you are too general, then you can’t find the solution in all the data. If you are too specific, the system offers no good solution at all.

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