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What does ROC AUC stand for in model evaluation?

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Question: What does ROC AUC stand for in model evaluation?

Options:

  1. Receiver Operating Characteristic Area Under Curve
  2. Regression Output Curve Area Under Control
  3. Randomized Output Classification Area Under Curve
  4. Receiver Output Classification Area Under Control

Correct Answer: Receiver Operating Characteristic Area Under Curve

Solution: 

ROC AUC stands for Receiver Operating Characteristic Area Under Curve, measuring the model\'s ability to distinguish between classes.

What does ROC AUC stand for in model evaluation?

Practice Questions

Q1
What does ROC AUC stand for in model evaluation?
  1. Receiver Operating Characteristic Area Under Curve
  2. Regression Output Curve Area Under Control
  3. Randomized Output Classification Area Under Curve
  4. Receiver Output Classification Area Under Control

Questions & Step-by-Step Solutions

What does ROC AUC stand for in model evaluation?
  • ROC Curve – A graphical representation of a model's diagnostic ability, plotting the true positive rate against the false positive rate.
  • AUC – The area under the ROC curve, representing the likelihood that the model will rank a randomly chosen positive instance higher than a randomly chosen negative one.
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