What is auc in data science?

Question

Could someone tell me what is AUC in Data Science?

Answer 1

AUC is defined as Area Under the Curve. AUC ROC curve or The area under the Receiver operating characteristic curve is the measure of how well the developed classifier is working. That is if we get an AUC of 1.0 that means we have developed and trained a perfect classifier that could determine its input correctly and could place them in correct labels and categories. But if we get an AUC below 0.5 that means we need to rectify the classifier and retrain it, because the AUC range between 0.6-0.9 is a good range, and the classifier in this range is termed to be a good classifier. So, the main aim is to try to bring the AUC of your classifier within this 0.6-0.9 and if possible 1.0.

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