For analytics use cases in UiPath Communications Mining, the recommended minimum performance requirement is that the overall Model Rating should be at least Good, and each performance factor (precision, recall, F1, etc.) should also be rated Good or better.
This ensures reliable insights without requiring the stricter “Excellent” threshold, which is more relevant for automation use cases, where very high accuracy is needed to trigger downstream actions without human review.
"Whatever the use case, we would always recommend ensuring the following before stopping training:
That your model at least has an overall score that provides a rating of 'Good' as this means the platform considers the model to relatively healthy overall
That each of the individual factors also have a rating of at least 'Good' (as shown below)"
Link : https://docs.uipath.com/communications-mining/automation-cloud/latest/user-guide/when-to-stop-training-your-model
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