Calibration Curve for Classification Models
Calibration curves are specifically used for classification models. The primary goal of a calibration curve is to evaluate the reliability of the predicted probabilities in a classification task. A calibration curve checks how well predicted probabilities align with the actual observed frequencies (e.g., when a model predicts 70% probability of being positive, we expect about…