In which of the following scenarios, the ML Classifier is the only recommended classifier to be used, according to best practice?
In which of the following scenarios, the ML Classifier is the only recommended classifier to be used, according to best practice?
When the custom document types are very similar and file splitting is not necessary, the use of an ML Classifier is recommended. ML Classifiers excel in distinguishing between similar document types due to their ability to learn and adapt based on the patterns and features present in the training data. Additionally, if file splitting is not required, it further simplifies the use case for an ML Classifier as it focuses solely on classification tasks without the added complexity of dealing with document segmentation.
A is correct, You should consider using the Machine Learning Classifier if: - Your need to classify the single documents into different document types where no splitting is required. - The custom document types are very similar. A trained Machine Learning Classifier can differentiate more easily between two similar document types than the Intelligent Keyword Classifier. https://docs.uipath.com/document-understanding/automation-suite/2023.4/user-guide/machine-learning-classifier
Correct answer is option B!