Introduction In my last post I wrote about common classifications metrics and, especially, calibration. With calibration in mind, this post will show why balancing your classes – which is an all-too-common practice when working on classification ...

AUC goes by many names: AUC, AUC-ROC, ROC-AUC, the area under the curve, and so on. It’s an extremely important metric for evaluating machine learning models and it’s an uber-popular data science interview question. It’s also, at least in my exper...