Calibration in statistics refers to the process of adjusting or correcting a statistical model or measurement system so that its predictions or outputs align closely with actual observed values. This is particularly important in contexts where accurate probability estimates or predictions are required, such as in classification tasks, risk assessment, and forecasting. There are several contexts in which calibration is used: 1. **Probability Calibration**: This refers to the adjustment of the predicted probabilities of outcomes so that they reflect the true likelihood of those outcomes.
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