Model accuracy metrics in machine learning: precision, recall, ROC AUC — Dmitry Khizbullin

Using the hotdog / not-hotdog example, we go through the accuracy metrics used in machine learning: why recall, precision and F1-score are so popular, and what to do when a model's output is a probability.