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Cases where a classifier fails to classify a document correctly fall into two categories:
  1. The classifier assigns the wrong class to a document, e.g. a class A page is classified as class B.
  2. The classifier fails to assign any class to a document.
These two categories of error characterize the quality of document classification and are usually measured as precision and recall.
  • Precision is calculated by dividing the number of documents that were correctly assigned a particular class by the total number documents that were assigned that class.
  • Recall is calculated by dividing the number of documents that were correctly assigned a particular class by the total number of documents of that class.

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You can adjust classification settings to prioritize recall or precision.

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Prioritizing precision

Use the High precision setting if the number of documents assigned to the wrong class must be as low as possible (and if it is acceptable to have some of the documents to remain unclassified). Example A company needs to classify invoices and contracts so that they can be sent to departments responsible for handling each class of document. If ABBYY FlexiCapture classifies an invoice incorrectly, that invoice will not make it to the right department and will not be paid. If ABBYY FlexiCapture does not classify the invoice at all, the invoice can be classified manually and sent to the right department. In this example, it is important to detect the class of a document as precisely as possible.

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Prioritizing recall

Use the High recall setting if the number of documents that are not assigned to any class must be as low as possible (and if it is acceptable to have some of the documents assigned to the wrong class). Example A company needs to identify and process a certain class of loan documents in a pile of various other loan documents. If ABBYY FlexiCapture fails to assign a class to a relevant document, that document will not be processed. The company can prevent the processing of documents that were assigned the wrong class by applying a FlexiLayout, by using validation rules, or by correcting the error manually. In this example, it is important to recall as many relevant documents as possible. By default, the Recall and precision balance is set to balanced.