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 = $[0, 1]$