What outcome is expected if a project has been correctly managed using active learning?

When a project is managed effectively using active learning, the desired outcome includes a significant reduction of documents while ensuring that no relevant documents are overlooked. Active learning employs algorithms that leverage previous decisions made during the review process to predict which documents are most likely to be relevant or irrelevant. This approach increases efficiency by focusing the review on a smaller subset of documents that are more likely to contain pertinent information.

Through iterative learning and training, the model becomes more proficient at identifying relevant documents. As a result, reviewers can prioritize their efforts on the most significant materials, ultimately leading to a reduction in the total number of documents reviewed. The correct implementation of active learning in project management aims to streamline the review process, enhance accuracy, and maximize resource utilization while retaining all relevant documents.