## What is AUC in ROC curve?

The Area Under the Curve (AUC) is the measure of the ability of a classifier to distinguish between classes and is used as a summary of the ROC curve. The higher the AUC, the better the performance of the model at distinguishing between the positive and negative classes.

**What does ROC AUC tell you?**

What is the AUC – ROC Curve? AUC – ROC curve is a performance measurement for the classification problems at various threshold settings. ROC is a probability curve and AUC represents the degree or measure of separability. It tells how much the model is capable of distinguishing between classes.

**What means AUC?**

area under the curve

In the field of pharmacokinetics, the area under the curve (AUC) is the definite integral of a curve that describes the variation of a drug concentration in blood plasma as a function of time (this can be done using liquid chromatographyâ€“mass spectrometry).

### What is AUC in medical terms?

area under the curve. A representation of total drug exposure. The area-under-the-curve is a function of (1) the length of time the drug is present, and (2) the concentration of the drug in blood plasma.

**What is a good AUC?**

The higher is better however any value above 80% is considered good and over 90% means the model is behaving great. AUC is an abbreviation for Area Under the Curve.

**What does AUC stand for and what is it?**

Area Under the Curve (AUC) is a mathematical method of measuring drug concentrations. The “curve” referred to in AUC is the curve on a concentration-versus-time graph. The concentration of a drug in the patient’s blood is plotted against the time when the sample was taken.

#### What is the area under the ROC curve?

Area under curve ( AUC ) The area under (a ROC) curve is a summary measure of the accuracy of a quantitative diagnostic test. A point estimate of the AUC of the empirical ROC curve is the Mann-Whitney U estimator (DeLong et. al., 1988). The confidence interval for AUC indicates the uncertainty of the estimate and uses the Wald Z large sample normal…

**What is AUC score?**

An AUC score is a measure of the likelihood that the model that produced the predictions will rank a randomly chosen positive example above a randomly chosen negative example. Specifically, that the probability will be higher for a real event (class=1) than a real non-event (class=0).