What does the ROC Curve represent and how to create it?

1.	What does the ROC Curve represent and how to create it?
Answer» ROC (Receiver Operating Characteristic) curve is a graphical REPRESENTATION of the contrast between false-positive rates and true positive rates at DIFFERENT thresholds. The curve is used as a PROXY for a trade-off between sensitivity and specificity. The ROC curve is created by plotting values of true positive rates (TPR or sensitivity) against false-positive rates (FPR or (1-specificity)) TPR represents the PROPORTION of observations correctly predicted as positive out of overall positive observations. The FPR represents the proportion of observations incorrectly predicted out of overall negative observations. Consider the example of medical testing, the TPR represents the rate at which people are correctly TESTED positive for a particular disease.

Answer»

ROC (Receiver Operating Characteristic) curve is a graphical REPRESENTATION of the contrast between false-positive rates and true positive rates at DIFFERENT thresholds. The curve is used as a PROXY for a trade-off between sensitivity and specificity.

The ROC curve is created by plotting values of true positive rates (TPR or sensitivity) against false-positive rates (FPR or (1-specificity)) TPR represents the PROPORTION of observations correctly predicted as positive out of overall positive observations. The FPR represents the proportion of observations incorrectly predicted out of overall negative observations. Consider the example of medical testing, the TPR represents the rate at which people are correctly TESTED positive for a particular disease.

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