Receiver Operating Characteristic Curve (ROC Curve) for Classification Model Evaluation

The Receiver Operating Characteristic curve (ROC curve), also known as the sensitivity curve, is a graphical representation of classification performance where all points on the curve reflect the same sensitivity to signal stimuli under different decision thresholds. This coordinate plot uses false positive rate (FPR) as the x-axis and true positive rate (TPR) as the y-axis, depicting the trade-off between sensitivity and specificity across varying classification thresholds.