QuestionQ44

Communications Mining

What does the Mean Average Precision (MAP) score indicate in UiPath Communications Mining?

  • A The proportion of true positives to false positives for a single label.
  • B The mean of the average precision scores for all labels with at least 20 examples in the training set.
  • C The highest precision score achieved by the model for any label.
  • D The average of precision scores for all labels regardless of the number of examples.
Explanation

In UiPath Communications Mining, MAP is calculated as the mean of the average precision scores for every taxonomy label that has at least 20 examples in the training set used for Validation.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!