AUC Score

  • AUC score is the area under the curve.
  • AUC score is used to compare multiple classifiers
  • Greater the AUC score, better the model
  • AUC more than 0.5 is better than random classifier
  • AUC score is robust to class imbalance
  • AUC Score is calculated from True Positive Rate and False Positive Rate
  • Range = $[0, 1]$

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