What would you care more about – precision or recall for spam filtering problem?

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  1. False positive means it was not a spam and we called it spam, false negative means it was a spam and we didn’t label it spam
  2. Precision = (TP / TP + FP)  and Recall = (TP / (TP + FN)).
  3. Increasing precision involves decreasing FP and increasing recall means decreasing FN.
  4. We don’t want to miss important mails, hence we would decrease FP and hence care more for precision.

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