Exfil uses an intelligent feedback loop that identifies possible cases of incorrectly labelled fields within each document.
Each time a model finished training, Exfil will flag all the documents that it thinks may have been incorrectly labelled. To review this suggestion, click on a flagged document within the Documents screen. When the document loads, find and click on the labels that are highlighted orange, then either select 'Accept Change' or 'Reject Change' for each label.
The feedback loop provides a suggestion for incorrectly labelled documents. If the suggestion is incorrect, it means you should add more documents that are similar to the training dataset to help the model learn over time.