"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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