The area under the Receiver Operating Characteristic curve
The accuracy of the model
The precision of the model
The recall of the model
ROC AUC measures the area under the Receiver Operating Characteristic curve, indicating the model's ability to distinguish between classes.
Questions & Step-by-step Solutions
1 item
Q
Q: What does ROC AUC measure?
Solution: ROC AUC measures the area under the Receiver Operating Characteristic curve, indicating the model's ability to distinguish between classes.
Steps: 4
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.
