A Confidence Score is a measure of the reliability or certainty of a prediction or assessment made by a machine learning model or other automated systems. It is typically expressed as a probability or as a percentage and reflects the degree of confidence that the underlying model has in its prediction or assessment. For example, if a machine learning model is trained to classify images as either “cat” or “not cat,” and it predicts that a particular image is a cat with a confidence score of 95%, this means that the model is 95% confident that the image is a cat. On the other hand, if the model predicts that the image is a cat with a confidence score of 50%, this means that the model is less certain of its prediction, and there is a higher likelihood of error.
The Confidence Score is typically used by a human user to make informed decisions based on machine or AI recommendations.
