In AI and data analytics, confidence scoring quantifies how certain a model is about its prediction. It powers smarter decision-making by flagging low-probability results for human review. Businesses use it to reduce errors in fraud detection, customer support, and medical diagnostics. Data scientists, product managers, and risk analysts benefit most from this reliability metric.
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