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What does a high AUC value in ROC analysis indicate?

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Question: What does a high AUC value in ROC analysis indicate?

Options:

  1. Poor model performance
  2. Model is not useful
  3. Good model discrimination ability
  4. Model is overfitting

Correct Answer: Good model discrimination ability

Solution: 

A high AUC (Area Under the Curve) value indicates that the model has good discrimination ability between the positive and negative classes.

What does a high AUC value in ROC analysis indicate?

Practice Questions

Q1
What does a high AUC value in ROC analysis indicate?
  1. Poor model performance
  2. Model is not useful
  3. Good model discrimination ability
  4. Model is overfitting

Questions & Step-by-Step Solutions

What does a high AUC value in ROC analysis indicate?
  • AUC in ROC Analysis – AUC (Area Under the Curve) measures the ability of a model to distinguish between positive and negative classes, with higher values indicating better performance.
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