

If you have Active Learning and Review Center installed in your workspace, you can view data for previous projects on the Active Learning History tab. Please note that uninstalling Active Learning removes the project data.
For more information, see:
The Prioritized Review queue serves documents that are most likely to be coded on the positive choice (such as Relevant) with a small set of documents included for index health. The documents included for index health are selected by the system to give the model a broader range of training documents. Prioritized Review also has the option of turning on family review, which lets you leverage the efficiency of Active Learning while letting you review and code all documents in a family together.
Note: Family-based review is optimized for email and attachments. Textual near duplicates and threads aren't supported.
The Prioritized Review queue serves up a mixture of documents: 10% of documents are randomly selected; 20% of documents are chosen for scores "in the middle" of the review (in the 40 to 60 range) for index health; and the final 70% are the highest-ranking uncoded documents remaining in the project. This means for every 200 documents, around 140 (70%) are chosen for being highly ranked. If you wanted to calculate the relevance rate manually, you would take Number of Highest Ranked Coded [Positive Choice] / Number of Highest Ranked. You can view these values in the Prioritized Review queue review summary on the Review Statistics tab. For more information, see Review Statistics.
For information on excluding index health documents and reviewing only high-ranked documents, see Turning off index health documents.
Note: If you start the Prioritized Review queue before a model build occurs, the queue initially serves up random documents because no scores are available for documents until a model build has completed.
Prioritized Review gives you the option to review family documents (optimized for email and attachments) together. When you enable Include Family, Active Learning serves documents with their family documents to reviewers. All family documents included in the index are served to the reviewer, including documents that were previously coded.
There are several special considerations to keep in mind as this setting is not needed for every case. Review the following special considerations prior to starting your review.
In order for family documents to be served together in Prioritized Review, the parent documents and their family must all be added to the classification index. This includes documents without text.
Note: Textually empty documents will receive a rank at 50 (visible on the histogram), but they must be included in order to be served up to reviewers.
Reviewers must code documents based on the so-called "four corners" rule. This means that a document should be judged relevant or not relevant based solely on the extracted text of that document only. Documents that are relevant based on family members should not be coded relevant on the Active Learning review field. Although individual anomalies will not hurt the algorithm, too many in aggregate could cause the model to perform worse.
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To start the Prioritized Review queue:
The next time an active reviewer accesses the view for the Active Learning project, they see a blue banner which indicates they have access to the queue. For more information, see Reviewer access.
You can see the following items in the Prioritized Review queue modal:
Admins can pause the review at any point in the project by clicking the Pause Prioritized Review button on the queue modal. Once the review is paused, the access point on the document view is disabled. You can restart the review at any time. Documents coded on the review field while the review is paused are included the next time the model rebuilds.
If you want to add or remove documents from your Active Learning project after review has begun, complete the following:
If one of the new documents is part of a group of family documents that was already reviewed in Active Learning, the document can be reviewed by any reviewer. The other previously reviewed family documents won't be served again with this new document.
For large projects and projects with high richness, the Active Learning engine may stabilize and identify consistently relevant documents long before the project has finished. To speed up the later part of these projects, you can exclude index health documents from appearing in the review queue.
Choosing to turn off index health documents has the following effects:
This means that reviewers will go through the highly ranked documents more quickly, but the engine's relevance predictions will not improve as much as they would with the index health documents turned on. The Active Learning engine will focus on topics that have already been identified as relevant.
We recommend keeping index health documents turned on for the early stages of a project. This allows the predictions to stabilize and identify a broader range of relevant topics, which prevents the engine from focusing only on a limited subject area.
To turn index health documents off, navigate to the Project Home tab and do the following:
This setting is set to Yes (Include) by default. You can change this setting at any point in the project. For more information, see Viewing project settings and errors.
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