The full name of Roc is receiver operating characteristic, and its main analysis tool is a curve drawn on a two-dimensional plane - the Roc curve. The abscissa of the plane is false positive rate (fpr), and the ordinate is true positive rate (tpr). In the R language, the `roc` function is usually used to calculate the receiver operating characteristic curve (referred to as roc curve). This function can be found in several packages, but most commonly in the `proc` package. The Roc curve is a coordinate graphical analysis tool invented by electronics and radar engineers during World War II. It was originally used to detect enemy aircraft and ships, and was later used in medicine, biology, and criminal psychology. Nowadays, roc curve has been widely used.
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In statistics and machine learning, AUC is often used to evaluate the performance of binary classification models. The full name of auc is area under the curve, that is, the area under the curve. Usually the curve here refers to the receiver operating curve (receiver operating curve).
