AUC: A Fatally Flawed Model Metric

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.

The Problem with Random Stratified Partitioning

Top Mistakes When Backtesting Investment Strategies

Are My Model Results Good Enough? It Depends!

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

How Do You Know Your Predictive Model Results Are Valid?