- 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 = $[0, 1]$