In this blog Dr. John Elder helps readers understand the flaw of using Area Under the Curve (AUC) as a metric of model performance and better ways to measure that value.

Data Scientist Aric LaBarr discusses why you need a baseline to compare to when trying to determine if your analytical model results are good.