A non-parametric method that adjusts predicted probabilities to match observed outcomes, isotonic calibration is vital when model scores are misleading. By fitting a monotonic step function, it sharpens reliability in risk scoring, medical prognosis, and fraud detection. Data scientists and decision-makers benefit from better-calibrated, trustworthy predictions.
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