A confidence score quantifies the certainty of a model’s prediction, typically ranging from 0 to 100%. It is used in AI, machine learning, and data analytics to filter unreliable outputs, flag uncertainty, and improve decision-making. Data scientists, engineers, and business analysts benefit by reducing errors in applications like fraud detection, self-driving cars, or medical diagnostics.
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