Model Training in UiPath Communications Mining:
The Train phase uses various training modes, such as Shuffle, Teach, and Low Confidence, to improve the model's ability to identify labels, entities, and data patterns.
Why Option A is Correct:
Shuffle mode randomizes data to avoid biases.
Teach mode allows interactive teaching of the model to understand new patterns.
Low Confidence mode focuses on refining predictions that have low confidence scores, improving accuracy.
Why Other Options Are Incorrect:
Option B: Discovery pertains to identifying clusters and themes in unstructured data.
Option C: Exploration is not a distinct phase in the training process.
Option D: Refinement happens iteratively but is not the phase explicitly involving training modes.
By leveraging these training modes, UiPath ensures the model is continuously optimized for better performance in communication mining.