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Communications Mining is now part of UiPath IXP. Check the Introduction in the Overview Guide for more details.
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Communications Mining user guide

Last updated Aug 1, 2025

Recall

Recall measures the proportion of the total possible true positive results that the model could identify.

Recall = true positives / (true positives + false negatives)

For example, for every 100 messages that should have been annotated as Request for information, the recall would be the percentage that the platform successfully found.

A 77% recall would mean that for every 100 messages that should have had a specific label predicted, there would be 23 messages that should have been predicted as having the label, but the platform missed them.

For a more detailed explanation on how precision works, check Precision and recall explained.

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