ROC AUC from TPR/FPR Calculator

Estimate the ROC AUC score from true positive rate (TPR) and false positive rate (FPR) threshold pairs using the trapezoidal rule. AUC = 1 is perfect; AUC = 0.5 is random

Each component has a specific meaning:

• True positive rate — The true positive rate recorded for the patient or scenario being assessed.
• False positive rate threshold pairs — The false positive rate threshold pairs recorded for the patient or scenario being assessed.

Note: Interpret the roc auc result against the clinical thresholds and context described above.

Enter the true positive rate, false positive rate threshold pairs for the patient or scenario you are assessing. Estimate the ROC AUC score from true positive rate (TPR) and false positive rate (FPR) threshold pairs using the trapezoidal rule. AUC = 1 is perfect; AUC = 0.5 is random. Use the roc auc result to inform your clinical assessment.