ROC Curves and Area Under the Curve (AUC) Explained

Transcript and screenshots: Visualization: Research paper: An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical research