Inference margins measure the confidence level of predictions made by machine learning models. By quantifying the gap between the top two predicted classes, they help assess model reliability. Data scientists and ML engineers use these margins to fine-tune algorithms, reduce errors, and improve decision-making in applications like fraud detection and medical diagnostics.
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