What do the ROC Curve and AUC represent in classification problems?

  • Curve of false positive rate vs. true positive rate
  • Curve of precision vs. recall
  • Curve of true negatives vs. false negatives
  • nan
The ROC (Receiver Operating Characteristic) Curve is a plot of the false positive rate versus the true positive rate. The AUC (Area Under the Curve) is a single value summarizing the overall ability of the test to discriminate between positive and negative instances.
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