The Mean Average Precision (MAP) is the primary metric used in UiPath Communications Mining to assess the performance of classification models, specifically for the "All Labels" factor. MAP evaluates how well the model predicts labels by considering both the precision and recall of the predictions. This metric is commonly used in information retrieval systems to provide an overall measure of accuracy across all labels in the dataset.
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit