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M66B 2021-01-06 08:31:58 +01:00
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@ -3430,6 +3430,7 @@ A practical example: suppose there is a folder 'marketing' and auto message clas
Each time you move a message into this folder you'll train FairEmail that similar messages belong in this folder. Each time you move a message into this folder you'll train FairEmail that similar messages belong in this folder.
Each time you move a message out of this folder you'll train FairEmail that similar messages do not belong in this folder. Each time you move a message out of this folder you'll train FairEmail that similar messages do not belong in this folder.
After moving some messages into the folder, FairEmail will start to move messages automatically into this folder. After moving some messages into the folder, FairEmail will start to move messages automatically into this folder.
This will work best with similar messages.
Classification should be considered as a best guess - it might be a wrong guess, or the classifier might not be confident enough to make any guess. Classification should be considered as a best guess - it might be a wrong guess, or the classifier might not be confident enough to make any guess.
If the classifier is unsure, it will simply leave an email where it is. If the classifier is unsure, it will simply leave an email where it is.