ROC Curves and Area Under the Curve (AUC) Explained

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 researchers (among others).

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RESOURCES:
- Transcript and screenshots: https://www.dataschool.io/roc-curves-...
- Visualization: http://www.navan.name/roc/
- Research paper: http://people.inf.elte.hu/kiss/13dwhd...

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