An ROC curve is a plot that compares the trade off of true positives and false positives of a binary classifier under different thresholds. The area under the curve (AUC) is useful in determining how discriminating a model is. Together, ROC and AUC are very useful diagnostics for understanding the power of one's model and how to tune it.
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We’re at our most vulnerable when we go to our doctors. We trust the person at the other end of that scalpel. We trust the hospital. We trust the system. Christopher Duntsch was a neurosurgeon who radiated confidence. He claimed he was the best in Dallas. If you had back pain, and had tried everything else, Dr. Duntsch could give you the spine surgery that would take your pain away. But soon his patients started to experience complications, and the system failed to protect them. Which begs the question: who - or what - is that system meant to protect? From Wondery, the network behind the hit podcast Dirty John, DR. DEATH is a story about a charming surgeon, 33 patients and a spineless system. Reported and hosted by Laura Beil.
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