Reference: UiPath Workflow Analyzer

Reference: UiPath RPA and AI Center Integration

Comprehensive and Detailed Explanation From Exact Extract:
TheMachine Learning Extractoris best suited for handlingsemi-structured documentslike invoices, which often vary by layout, format, and provider. Unlike template-based extractors, ML extractors learn from data and generalize across multiple formats.
* It is trained to recognize fields regardless of positioning or formatting, making it ideal for vendor invoices, receipts, and more.
* UiPath Documentation Reference:Choosing the Right Extractor - UiPath DU

In UiPath Document Understanding Cloud APIs, the Generative Classifier is used to classify documents by leveraging a generative AI model. To classify a document as either an "Invoice" or a "Receipt," a POST request must be sent to the /api/framework/projects/{projectId}/classifiers/generative_classifier/classification endpoint. The body of this request should contain prompts specifying the classification types (in this case,
"Invoice" and "Receipt") along with their corresponding descriptions. This allows the model to correctly classify incoming documents based on these predefined prompts.
For further reading, refer to:
UiPath Document Understanding API Documentation: Cloud API for Classification Generative Classifier APIs: UiPath Classification APIs

In UiPath Communications Mining, the precision and recall statistics for specific labels are primarily determined by the confidence threshold set for the model. This threshold represents the level of certainty the model needs before it assigns a label to a message. By adjusting this threshold, you can trade off between precision (fewer false positives) and recall (fewer false negatives). For instance, a higher threshold will increase precision but may reduce recall, and vice versa