The area under the Receiver Operating Characteristic curve
The accuracy of the model
The precision of the model
The recall of the model
Questions & Step-by-Step Solutions
What does ROC AUC measure?
Step 1: Understand that ROC stands for Receiver Operating Characteristic, which is a graph that shows how well a model can distinguish between two classes (like 'yes' and 'no').
Step 2: Know that AUC stands for Area Under the Curve, which measures the total area under the ROC curve.
Step 3: Realize that a higher AUC value (closer to 1) means the model is better at distinguishing between the two classes.
Step 4: Remember that an AUC of 0.5 means the model is no better than random guessing, while an AUC of 1 means perfect classification.
