Merge pull request #190349 from vkurpad/master

Update concept-accuracy-confidence.md

Author: PRMerger6

articles/applied-ai-services/form-recognizer/concept-accuracy-confidence.md

@@ -15,7 +15,7 @@ ms.author: lajanuar
 
 > [!NOTE]
 >
-> * **Custom models do not provide accuracy scores during training**.
+> * **Custom neural models do not provide accuracy scores during training**.
 > * Confidence scores for structured fields such as tables are currently unavailable.
 
 Custom models generate an estimated accuracy score when trained. Documents analyzed with a custom model produce a confidence score for extracted fields. In this article, you'll learn to interpret accuracy and confidence scores and best practices for using those scores to improve accuracy and confidence results.
@@ -34,7 +34,9 @@ The accuracy value range is a percentage between 0% (low) and 100% (high). The e
 
 Form Recognizer analysis results return an estimated confidence for predicted words, key-value pairs, selection marks, regions, and signatures. Currently, not all document fields return a confidence score.
 
-Confidence indicates an estimated probability between 0 and 1 that the prediction is correct.  For example, a confidence value of 0.95 (95%) indicates that the prediction is likely correct 19 out of 20 times.  For scenarios where accuracy is critical, confidence may be used to determine whether to automatically accept the prediction or flag it for human review.
+Field confidence indicates an estimated probability between 0 and 1 that the prediction is correct.  For example, a confidence value of 0.95 (95%) indicates that the prediction is likely correct 19 out of 20 times.  For scenarios where accuracy is critical, confidence may be used to determine whether to automatically accept the prediction or flag it for human review.
+
+Confidence scores comprise of 2 components, the field level confidence score and the text extraction confidence score. In addition to the field confidence of position and span, the text extraction confidence in the ```pages``` section of the response is the model's confidence in the text extraction (OCR) process. The two confidence scores should be combined to generate a overall confidence score.
 
 **Form Recognizer Studio** </br>
 **Analyzed invoice prebuilt-invoice model**