What is the ROC-AUC score and what does a value of 0.5 indicate?

Data Science with Python Medium

Data Science with Python — Medium

What is the ROC-AUC score and what does a value of 0.5 indicate?

Key points

  • ROC-AUC quantifies the model's ability to distinguish between classes
  • A value of 0.5 suggests the model is no better than random guessing
  • Higher ROC-AUC scores indicate better model performance
  • It is a common metric used in evaluating classification models

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