In an Active Learning project, which step comes last when creating the project?

In an Active Learning project, the process follows a specific sequence to effectively build and utilize the model for document classification. The last step, creating a Classification Index, is essential because it consolidates the findings and learning from the previous steps into a usable form for the review and classification processes.

Initially, the project is created, followed by the addition of a review group that will be responsible for providing input and validating the results. After that, a prioritized review begins, where the model identifies the most relevant documents for human review based on the training it received. This step helps to fine-tune the model based on what the reviewers confirm.

Once the model has been sufficiently trained and the reviews have been completed, the Classification Index is then established. This index serves as the final output, providing a structured way to categorize documents based on the learning outcomes of the project. This step is crucial as it allows the results from the active learning process to be translated into actionable classifications that can be applied effectively in future workflows.