How would you evaluate a Classification model using ROC/AUC?
The ROC curve is produced by plotting the False Positive Rate (FPR) on the x-axis and the True Positive Rate (TPR) on the y-axis for all decision rules.
The ROC curve is produced by plotting the False Positive Rate (FPR) on the x-axis and the True Positive Rate (TPR) on the y-axis for all decision rules.
Partner Ad