Mysteries of the ROC curve


Most Data Scientists would have come across the ROC (receiver operating characteristic) curve. It is often used to evaluate the performance of a binary classifier by measuring AUC (area under the curve) and to find an optimal probability threshold to get to the sweet spot in the sensitivity-specificity tradeoff. However, both theoretically and practically there […]

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