A Confidence Score is a numerical measure that indicates how strongly an AI model, statistical system, or decision-making algorithm supports a particular prediction, classification, or result. It is typically calculated from the model’s output probabilities or other measures of uncertainty, helping users distinguish between results the system considers more certain and those requiring additional review.
Confidence Scores are commonly used in image recognition, fraud detection, recommendation systems, natural language processing, and predictive analytics. For example, an AI system identifying an object in an image may assign a higher score when its detected features closely match a learned pattern. The score can help determine whether to accept the result automatically or send it for human verification.
