A calibration matrix is a mathematical tool used to adjust and enhance the accuracy of a model's predictions, particularly in classification tasks, by aligning predicted probabilities with observed outcomes. It is essential for improving model reliability and trustworthiness, especially in applications where precise probability estimates are critical, such as medical diagnostics or risk assessment.