How does Azure define "confidence score" in its NLP services?

The definition of "confidence score" in Azure's NLP services reflects the likelihood that the model's prediction or analysis is accurate. This score is a quantitative measure used in various machine learning and natural language processing applications to indicate how sure the model is about its output. A higher confidence score suggests that the model is more certain about its prediction, whereas a lower score indicates greater uncertainty.

In practice, this helps users evaluate how much to trust the results generated by the model. For example, in tasks such as sentiment analysis, entity recognition, or language detection, users can use the confidence score to make informed decisions based on how reliable the model's outputs are perceived to be.