Interpreting ROC Curve and ROC AUC for Classification Evaluation

How I wish I was taught ROC Curve when I first learned it

One really strong way to evaluate the prediction power of a classifier is by plotting the ROC (Receiver Operating Characteristic) Curve.

This is well-known, but do you know how to interpret ROC Curves?

ROC Curve Intuition

This curve shows us the behavior of the classifier for every threshold by plotting two variables: the True Positive Rate (TPR) and the False Positive …

artificial intelligence auc classification data science evaluation machine learning programming python roc